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BS in Computer Networks and Cyber Security

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  • Overview
  • Learning Outcomes
  • Requirements
  • Curriculum Details

Program Purpose

The Bachelor of Science degree in Computer Networks and Cybersecurity is designed to equip students with a comprehensive understanding of networking principles, security protocols, and cyber defense strategies. This program blends theoretical knowledge with practical skills to prepare graduates for careers in safeguarding digital infrastructures and addressing contemporary cybersecurity challenges.

Educational Objectives

The program seeks to:

  • Provide students with a deep understanding of network architectures, protocols, and technologies, enabling them to design, implement, and manage robust and scalable network infrastructures. Emphasis will be placed on hands-on experience with routers, switches, and other networking devices.
  • Develop students’ expertise in identifying vulnerabilities, implementing security measures, and devising strategies to protect digital assets. This includes learning about encryption techniques, intrusion detection systems, ethical hacking methodologies, and incident response procedures.
  • Foster analytical thinking and problem-solving abilities specific to cybersecurity scenarios. Students will learn to assess risks, analyze threats, and develop effective solutions to mitigate potential cyber threats while considering legal, ethical, and societal implications.

Faculty

Admissions Requirement

  • Applicants entering as freshmen should have a minimum score of 550 on the Math section of the SAT, or a 24 on the Math section of the ACT. Additionally, they should have taken three years of high school math.
  • Transfer students should have a minimum cumulative GPA of 2.3.

Graduation Requirement

  • The academic requirements for graduation are the successful completion of the curriculum with a grade point average of no less than 2.0.
  • In addition, a graduate must have taken at least 50% of all courses from FTC Northern.
  • Students must also complete at least 42 courses designated as “LAS” or Liberal Arts and Science in accordance with New York State regulations.

Curriculum Overview

The BS in Computer Networks and Cybersecurity is a 120-semester credit curriculum with three major components: major requirements, general education requirements, and free electives.

Curriculum Structure for BS in Computer Networks and Cybersecurity

Area Credits
Major Requirements 73
  Mathematics 8
  Computer Science 51
  Senior Synthesis, Career Development and Ethics 7
  Major Electives 7
General Education Requirements 42
  Humanities 6
  Writing and Rhetoric 9
  Quantitative Reasoning Fulfilled by major courses
  Social Sciences 6
  Natural Sciences 4
  Art and Aesthetics 5
  Values and Ethics 3
  World Languages 6
  Personal Management 3
Free Electives 5
Total Required Credits for Graduation 120

Course List

Major Requirements (73 credits)

The major requirements are comprised of fundamental courses in mathematics (8 credits), computer science (51 credits), courses that enable students to develop professional experience and insights (7 credits), as well as major electives (7 credits).

Major Required Courses for BS in Computer Science

Code Course Title Credits Prerequisite(s)
Major Core 66
Mathematics (8 cr)
MAT105 Calculus I 4
COS203 Discrete Mathematics and Probability Theory 4 COS102
Computer Science (51 cr)
COS102 Introduction to Computer Programming 3
COS205 Data Structures 4 COS102
COS213 Computer Architecture 4 COS205
COS403 Computer Operating Systems 4 COS213
COS151 Introduction to Information Technology 3
COS153 Networking Technologies and Telecommunications 3 COS151
COS161 Introduction to Cybersecurity 3
COS251 Linux Systems and Network Administration 3 COS153
COS253 Routing and Switching Essentials 3 COS153
COS261 Cybercrime and Governance 3 COS161
COS263 Network and System Security 3
COS351 Wireless Technology 3 COS253
COS353 Introduction to Cloud Computing 3 COS102
COS361 Wireless and Mobile Security 3 COS263
COS363 Cyber Forensics 3 COS261
COS461 Ethical Hacking 3 COS363
Senior Synthesis, Career Development and Ethics (7 cr)
COS431 Ethics in Computer and Data Science 3
COS491 Senior Project 4 Permission form
Major Electives (7 cr)
Select at least two courses of 300 or 400 level from the following list
COS105 Object-Oriented Programming 4 COS102
COS211 Probability for Computer Science 4 COS102, MAT105
COS224 Web Programming: Front-End 3 COS102
COS225 Web Programming: Back-End 3 COS102
COS243 Introduction to Data Science and Generative AI 3 COS102
COS305 Algorithm Design and Analysis 4 COS203, COS205
COS321 Database Systems 4 COS205
COS331 Data Mining 4 MAT201, COS211, DAS241
COS335 Machine Learning 4 COS203 or COS211
COS346 Big Data Engineering 3 COS205, COS321
COS425 Software Engineering 4 COS105, COS213
COS435 Cryptography 3 COS203
COS486 Independent Study in Computer Networks and Cybersecurity 3 Permission form
DAS101 Introduction to Data Science 3 COS102
DAS148 Ethical Topics in Data Science 1
DAS241 Data Visualization 3 COS102, COS211 or STA101
DAS251 Data Inference 3 COS102, COS211
DAS341 Business Data Analysis 3 COS211 or STA101
MAT106 Calculus II 4 MAT105
MAT201 Linear Algebra 4
STA101 Introduction to Statistics 3
Total Required Credits 73

General Education Requirements (42 credits)

The College requires that all undergraduate students, regardless of major, complete core general education courses in nine distributions. The Gen Ed requirements for Computer Science students are 42 credits.

General Education Curriculum for Computer Networks and Cybersecurity Major

Code Course Title Credits Prerequisite
Humanities (select two from the following) (6 cr)
HUM101 Introduction to Humanities 3 1
CIV111 Western Civilization 3 1
CIV112 Chinese Civilization 3 CLC112 or instructor approval
CIV113 World Civilization 3 1
HIS231 Topics in Chinese History 3 CIV112
HUM231 Western Religious Study 3 1
Writing and Rhetoric (9 cr)
ENG101 English Composition I 3
Select one from the following (3 cr)
ENG102 English Composition II 3 ENG101
ENG201 Academic Writing 3 ENG101
ENG205 Writing for Media 3 ENG101
Select one from the following (3 cr)
ENG231 Survey of Western Literature 3 ENG101
ENG104 Public Speaking 3
ENG221 Debate and Argumentation 3 ENG101
Quantitative Reasoning (fulfilled by major requirements) (0 cr)
Social Sciences (select two from the following) (6 cr)
ECO101 Principles of Economics 3
PSY101 Introduction to Psychology 3
SOC101 Introduction to Sociology 3
POL102 US Society and Government 3
POL201 The U.S. Constitution 3
POL101 Introduction to Political Science 3
Natural Sciences (4 cr)
PHY101 General Physics I 3
PHY101L General Physics I Lab 1
CHM100 Principles of Chemistry 3 Co-requisite
CHM100L Principles of Chemistry Lab 1 Co-requisite
BSC100 Principles of Biology 3 Co-requisite
BSC100L Principles of Biology Lab 1 Co-requisite
Art and Aesthetics (select at least 5 credits from the following) (5 cr)
ARH131 History of Graphic Design 3
DAN242 History of Dance: East and West 2
MUS204 History of Music 3
MUS243 History of Chinese Music 3
ARH211 History of Cinema and Video 2 ARH131 or instructor approval
ARH101 Art History I 3 1
ARH102 Art History II 3 1
ART111 Visual Literacy I 2
MUS111A Western Music Theory A 2 Instructor approval
MUS111B Western Music Theory B 2 MUS111A
Values and Ethics (3 cr)
PHL130 Philosophical Perspectives I 1
PHL131 Philosophical Perspectives II 1
PHL231 Philosophical Perspectives III 1 PHL130 and 131
World Languages (select one sequence from the following) (6 cr)
CLC111 Elementary Chinese I 3 Placement test
CLC112 Elementary Chinese II 3 CLC111
CLC211 Intermediate Chinese I 3 Placement test
CLC212 Intermediate Chinese II 3 CLC211
CLC311 Advanced Chinese I 3 Placement test
CLC312 Advanced Chinese II 3 CLC311
SPN101 Elementary Spanish I 3
SPN102 Elementary Spanish II 3
Personal Management (select at least 3 credits from the following) (3 cr)
LAS101 College Success2 1
LAS102 Career Development3 1
LAS103 Cultivation Practice 0
PSY100 Happiness – Positive Psychology 1
HSC130 Nutrition, Health and Wellness 2
PEW101 Wellness through Dance 1
PEW102 Wellness through Pilates 1
Total Required Credits 42

1 These courses require either the student’s Evidence-Based Reading and Writing section of SAT score is above 570 or the student passes Northern College’s English placement test unless the student receives consent from both his/her advisor and the course instructor.

2 Required for freshmen students.

3 Required for all undergraduates.

Free Electives (5 credits)

Students are free to choose 5 credits from the Computer Science elective courses or any other college level courses offered by the College.

 

 

BS in Computer Science

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  • Overview
  • Learning Outcomes
  • Requirements
  • Curriculum Details

Program Purpose

The Bachelor of Science in Computer Science program seeks to provide students with a comprehensive understanding of computer science principles, methodologies, and technologies. The program aims to foster a deep appreciation for critical thinking, problem-solving, and innovation in the rapidly evolving field of computing. Graduates of this program will be well-prepared to contribute to the advancement of technology and address complex challenges in various industries.

Educational Objectives

The program seeks to enable students to:

  • Develop a solid foundation in computer science theory, algorithms, data structures, and programming languages, enabling students to design, implement, and optimize software solutions across diverse computing environments.
  • Cultivate critical thinking and problem-solving abilities by engaging students in real-world challenges, fostering innovative approaches to address complex computing problems, and encouraging creative solutions using cutting-edge technologies.
  • Foster effective communication and collaboration skills, preparing students to work seamlessly in interdisciplinary teams and articulate technical concepts to diverse audiences.

Faculty

Admissions Requirement

  • Applicants entering as freshmen should have a minimum score of 550 on the Math section of the SAT, or a 24 on the Math section of the ACT. Additionally, they should have taken three years of high school math.
  • Transfer students should have a minimum cumulative GPA of 2.3.

Graduation Requirement

  • The academic requirements for graduation from the program are the successful completion of the curriculum with a grade point average of no less than 2.0.
  • In addition, a graduate must have taken at least 50% of all courses from FTC Northern.
  • Students must also complete at least 40 courses designated as “LAS” or Liberal Arts and Science in accordance with New York State regulations.

Curriculum Overview

The BS in Computer Science is a 120-semester credit curriculum with three major components: major requirements, general education requirements, and free electives.

Curriculum Structure for BS in Computer Science

Area Credits
Major Requirements 70
  Mathematics 16
  Science 8
  Computer Science 23
  Senior Synthesis, Career Development and Ethics 7
  Major Electives 16
General Education Requirements 38
  Humanities 6
  Writing and Rhetoric 9
  Quantitative Reasoning Fulfilled by major courses
  Social Sciences 6
  Natural Sciences Fulfilled by major courses
  Art and Aesthetics 5
  Values and Ethics 3
  World Languages 6
  Personal Management 3
Free Electives 12
Total Required Credits for Graduation 120

Course List

Major Requirements (70 credits)

The major requirements are comprised of fundamental courses in mathematics (16 credits), science (8 credits), computer science (23 credits), courses that enable students to develop professional experience and insights (7 credits), as well as major electives (16 credits).

Major Required Courses for BS in Computer Science

Code Course Title Credits Prerequisite(s)
Major Core 54
Mathematics (16 cr)
MAT105 Calculus I 4
MAT106 Calculus II 4 MAT105
MAT201 Linear Algebra 4
COS203 Discrete Mathematics and Probability Theory 4 COS102
Science (8 cr)
PHY101 General Physics I 3
PHY101L General Physics I Lab 1
PHY102 General Physics II 3 PHY101
PHY102L General Physics II Lab 1 PHY101L
Computer Science (23 cr)
COS102 Introduction to Computer Programming 3
COS105 Object-Oriented Programming 4 COS102
COS205 Data Structures 4 COS102
COS213 Computer Architecture 4 COS205
COS305 Algorithm Design and Analysis 4 COS203, COS205
COS403 Computer Operating Systems 4 COS213
Senior Synthesis, Career Development and Ethics (7 cr)
COS431 Ethics in Computer and Data Science 3
COS491 Senior Project 4 Permission form
Major Electives (16 cr)
Select at least two courses of 300 or 400 level from the following list
COS151 Introduction to Information Technology 3
COS153 Networking Technologies and Telecommunications 3 COS151
COS161 Introduction to Cybersecurity 3
COS211 Probability for Computer Science 4 COS102, MAT105
COS224 Web Programming: Front-End 3 COS102
COS225 Web Programming: Back-End 3 COS102
COS243 Introduction to Data Science and Generative AI 3 COS102
COS251 Linux Systems and Network Administration 3 COS153
COS253 Routing and Switching Essentials 3 COS153
COS261 Cybercrime and Governance 3 COS161
COS263 Network and System Security 3
COS321 Database Systems 4 COS205
COS331 Data Mining 4 MAT201, COS211, DAS241
COS335 Machine Learning 4 COS203 or COS211
COS346 Big Data Engineering 3 COS205, COS321
COS351 Wireless Technology 3 COS253
COS353 Introduction to Cloud Computing 3 COS102
COS361 Wireless and Mobile Security 3 COS263
COS363 Cyber Forensics 3 COS261
COS425 Software Engineering 4 COS105, COS213
COS435 Cryptography 3 COS203
COS461 Ethical Hacking 3 COS363
COS482 Independent Study in Computer Science 3 Permission form
DAS101 Introduction to Data Science 3 COS102
DAS148 Ethical Topics in Data Science 1
DAS241 Data Visualization 3 COS102, COS211 or STA101
DAS251 Data Inference 3 COS102, COS211
DAS341 Business Data Analysis 3 COS211 or STA101
STA101 Introduction to Statistics 3
Total Required Credits 70

General Education Requirements (38 credits)

The College requires that all undergraduate students, regardless of major, complete core general education courses in nine distributions. The Gen Ed requirements for Computer Science students are 38 credits.

General Education Curriculum for Computer Science Major

Code Course Title Credits Prerequisite
Humanities (select two from the following) (6 cr)
HUM101 Introduction to Humanities 3 1
CIV111 Western Civilization 3 1
CIV112 Chinese Civilization 3 CLC112 or instructor approval
CIV113 World Civilization 3 1
HIS231 Topics in Chinese History 3 CIV112
HUM231 Western Religious Study 3 1
Writing and Rhetoric (9 cr)
ENG101 English Composition I 3
Select one from the following (3 cr)
ENG102 English Composition II 3 ENG101
ENG201 Academic Writing 3 ENG101
ENG205 Writing for Media 3 ENG101
Select one from the following (3 cr)
ENG231 Survey of Western Literature 3 ENG101
ENG104 Public Speaking 3
ENG221 Debate and Argumentation 3 ENG101
Quantitative Reasoning (fulfilled by major requirements) (0 cr)
Social Sciences (select two from the following) (6 cr)
ECO101 Principles of Economics 3
PSY101 Introduction to Psychology 3
SOC101 Introduction to Sociology 3
POL102 US Society and Government 3
POL201 The U.S. Constitution 3
POL101 Introduction to Political Science 3
Natural Sciences (fulfilled by Major courses) (0 cr)
Art and Aesthetics (select at least 5 credits from the following) (5 cr)
ARH131 History of Graphic Design 3
DAN242 History of Dance: East and West 2
MUS204 History of Music 3
MUS243 History of Chinese Music 3
ARH211 History of Cinema and Video 2 ARH131 or instructor approval
ARH101 Art History I 3 1
ARH102 Art History II 3 1
ART111 Visual Literacy I 2
MUS111A Western Music Theory A 2 Instructor approval
MUS111B Western Music Theory B 2 MUS111A
Values and Ethics (3 cr)
PHL130 Philosophical Perspectives I 1
PHL131 Philosophical Perspectives II 1
PHL231 Philosophical Perspectives III 1 PHL130 and 131
World Languages (select one sequence from the following) (6 cr)
CLC111 Elementary Chinese I 3 Placement test
CLC112 Elementary Chinese II 3 CLC111
CLC211 Intermediate Chinese I 3 Placement test
CLC212 Intermediate Chinese II 3 CLC211
CLC311 Advanced Chinese I 3 Placement test
CLC312 Advanced Chinese II 3 CLC311
SPN101 Elementary Spanish I 3
SPN102 Elementary Spanish II 3
Personal Management (select at least 3 credits from the following) (3 cr)
LAS101 College Success2 1
LAS102 Career Development3 1
LAS103 Cultivation Practice 0
PSY100 Happiness – Positive Psychology 1
HSC130 Nutrition, Health and Wellness 2
PEW101 Wellness through Dance 1
PEW102 Wellness through Pilates 1
Total Required Credits 38

1 These courses require either the student’s Evidence-Based Reading and Writing section of SAT score is above 570 or the student passes Northern College’s English placement test unless the student receives consent from both his/her advisor and the course instructor.

2 Required for freshmen students.

3 Required for all undergraduates.

Free Electives (12 credits)

Students are free to choose 12 credits from the Computer Science elective courses or any other college level courses offered by the College.

 

 

BFA in Fine Arts & Design (Graphic Design)

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The Graphic Design concentration of the BFA in Fine Arts & Design program is dedicated to fostering the creative, technical, and critical thinking skills necessary for students to become proficient and innovative graphic designers. Our program is designed to provide a comprehensive education that equips students with the knowledge and skills required to excel in the dynamic and ever-evolving field of graphic design.

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  • Overview
  • Learning Outcomes
  • Requirements
  • Curriculum Details

Program Purpose

The Graphic Design concentration of the BFA in Fine Arts & Design is dedicated to fostering the creative, technical, and critical thinking skills necessary for students to become proficient and innovative graphic designers. Our program is designed to provide a comprehensive education that equips students with the knowledge and skills required to excel in the dynamic and ever-evolving field of graphic design.

Educational Objectives

The program aims to educate students to:

  • Demonstrate proficiency in graphic design software and tools.
  • Create visually compelling and effective design solutions for a variety of media and platforms.
  • Exhibit the ability to conceptualize and execute design projects from ideation to completion.
  • Apply critical thinking and problem-solving skills to design challenges.
  • Understand the ethical and cultural dimensions of design and its impact on society.
  • Communicate and collaborate effectively in professional design environments.
  • Develop a professional-quality design portfolio showcasing a range of projects and creative development.

Faculty

Program Learning Outcomes

After completing this program, students should be able to:

  • Demonstrate proficiency in graphic design software and tools.
  • Create visually compelling and effective design solutions for a variety of media and platforms.
  • Exhibit the ability to conceptualize and execute design projects from ideation to completion.
  • Apply critical thinking and problem-solving skills to design challenges.
  • Understand the ethical and cultural dimensions of design and its impact on society.
  • Communicate and collaborate effectively in professional design environments.
  • Develop a professional-quality design portfolio showcasing a range of projects and creative development.

Admissions Requirement

Institutional-wide Admission Criteria

  • Completion of high school or equivalent.
  • Official Transcript: allow for evaluation of academic performance, relevant coursework, and overall readiness for college-level study.
  • Personal Statement: helps reviewers understand the applicant’s motivations and aspirations to pursue the program of study.
  • Letters of Recommendation: Letters of recommendation from teachers, mentors, or professionals familiar with the applicant’s abilities and potential, and additional insights into the applicant’s character, work ethic, and potential for success in the program.

Program-specific Criteria

  • Portfolio Submission: A strong portfolio showcasing the applicant’s artistic and design skills is often crucial. This may include examples of illustrations, digital designs, and other relevant work.
  • Academic Qualifications: Applicants are usually required to have a high school diploma or equivalent. Some programs may also consider academic performance in relevant subjects.
  • Letters of Recommendation: Some programs may request letters of recommendation from teachers or professionals who can assess the applicant’s creativity, work ethic, and potential in graphic design.
  • Personal Statement or Essay: Applicants may be required to submit a personal statement or essay explaining their interest in graphic design, their career goals, and how the program aligns with their aspirations.
  • Interview or Portfolio Review: In some cases, applicants might be required to participate in an interview or portfolio review process to discuss their work, design philosophy, and future goals.
  • Color Vision Test: Submission of non-colorblindness test results or take the test, ensuring applicants can effectively perceive and work with a full spectrum of colors.

Graduation Requirement

  • The academic requirements for graduation are the successful completion of the curriculum with a grade point average of no less than 2.0.
  • In addition, a graduate must have taken at least 50% of all courses from FTC Northern.

Curriculum Overview

BFA in Graphic Design (Graphic Design Concentration) is a 121-semester credit curriculum with three major components: major requirements, general education requirements, and free electives.

Graphic Design Concentration Curriculum

Area Credits
College Core 11
Breadth Distribution 28
Major Requirements 76
Free Electives 6
Total Required Credits for Graduation 121

College Core (11 credits)

Code Course Title Credits Prerequisite(s)
College Success (2 cr)
LAS102 College Success 2  
LAS004 Career Development 0  
College English (3 cr)
ENG101 Effective English 3  
World Civilizations (6 cr)
CIV111 Western Civilization 3  
CIV112 Chinese Civilization 3  
CIV113 World Civilization 3  
Breadth Distribution (28 cr)
*5cr fulfilled by major requirements
Humanities (6 cr)
HUM125 U.S. Society and Government 3  
HUM204 Survey of Western Literature 3 ENG101
HUM221 The Making of the Modern World 3  
HUM222 Topics in Chinese History 3  
Writing and Rhetoric (3 cr)
ENG104 Public Speaking 3 ENG101
ENG201 Academic Writing 3 ENG101
ENG205 Writing for Media 3 ENG101
ENG221 Debate and Argumentation 3 ENG101
Quantitative Reasoning (3 cr)
MAT101 Mathematics in Applied Context 3  
STA101 Introduction to Statistics 3  
MAT201 Linear Algebra 4  
MAT104 Applied Calculus 3  
MAT105 Calculus I 4  
MAT106 Calculus II 4 MAT105
Scientific Reasoning (5 cr)
*Natural science (2cr)
BMS132 Nutrition, Health and Wellness 3  
ART102A Art Anatomy A 2  
*Social Science (3cr)
ECO101 Principles of Economics 3  
PSY101 Introduction to Psychology 3  
SOC101 Introduction to Sociology 3 Required for Graphic Design
Art and Aesthetics (5 cr)
ART111 Visual Literacy I 2  
ARH131 History of Graphic Design 3  
Values and Ethics (3 cr)
PHL130 Philosophical Perspectives I 1  
PHL131 Philosophical Perspectives II 1  
PHL231 Philosophical Perspectives III 1 PHL130 & 131
LAS005 Self-cultivation Practice 0  
World Language and Literature (8 cr)
CLC111 Elementary Chinese I 4 Placement test
CLC112 Elementary Chinese II 4 CLC111
CLC211 Intermediate Chinese I 4 Placement test
CLC212 Intermediate Chinese II 4 CLC211
CLC311 Advanced Chinese I 4 Placement test
CLC312 Advanced Chinese II 4 CLC311
Total Required Credits 39  

Major Requirements (76 credits)

Code Course Title Credits Prerequisite(s)
Drawing Fundamental Skills and Training (8 cr)
DRP102 Beginner Painting 4  
DRP101 Drawing I 4  
Art History and Theory (12 cr)
ART111 Visual Literacy I 2  
ARH131 History of Graphic Design 3  
ART221 Graphic Design Psychology 3 ART211
ART213 Theory of Graphic Print Production 2 DSG104
ART211 Visual Literacy II 2 ART111
Professionalism and Career Development (9 cr)
BUS121 Fundamentals of art management 3  
AMG211 Brand Identity 2  
Choose one of:*
DSG351 Junior Internship 3 DSG351A
DSG461 Senior Capstone 4 DSG351B
Major Core – Graphic Design (44 cr)
Fundamental Design Skills (41 cr)
DSG101 Design Studio I 3  
DSG102 Computer Graphics 3  
DSG104 Typography Design I 5 DSG102
DSG204 Typography Design II 5 DSG104
DSG111 Photography 3  
DSG212 Video production 3 DSG111
DSG302 Web design 5 DSG204
DSG303 Brand Identity of Design 5 AMG211, DSG104
DSG311 Motion Graphics Studio I 3 DSG102
DSG321 Motion Graphics Studio II 3 DSG311
DSG443 Portfolio Design 3 DSG351B
Design Elective (3 cr)
DSG351 Junior internship 3 DSG351A
DSG351A Portfolio preview I 0 Soph or Junior
DSG351B Portfolio preview II 0 Junior or Senior
BUS331 Arts and Entertainment Law 3  
DRP121 Traditional handwriting art 1  
DSG332 Advertising Design 5 DSG103
DSG442 Packaging design 3 DSG304
DSG441 Environmental Graphic Design 3 DSG321
DSG102 Emerging Technologies in Design 5 ART211
DSG304 Infographic Design 3 DSG102
DSG121 3D Modeling & Printing 3  
Total Required Credits 76  

Free Electives (6 credits)

Students are free to choose 6 credits beyond major and General Education requirements from any university level courses offered by FTC Northern.

The BFA in Design is a 121-semester credit curriculum.

Minor in Graphic Design (20 credits)

Code Course Title Credits Prerequisite(s)
Fundamental Skills and Training (4 cr)
DRP101 Drawing I 4  
Fundamental Design Skills (12 cr)
DSG101 Design Studio I 3  
DSG103 Computer Graphics 3  
DSG111 Photography 3  
DSG212 Video Production 3  
Art Theory Requirement (4 cr)
ART111 Visual Literacy I 2  
ART211 Visual Literacy II 2 ART111
Total Required Credits 20  

 

 

Certificate in Data Science

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The Data Science Certificate program is designed to provide working professionals with the necessary knowledge base and skills to tackle real-world data analysis challenges or to pursue more advanced studies.

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  • Overview
  • Requirements
  • Curriculum Details

Program Purpose

The Data Science Certificate program is designed to provide working professionals with the necessary knowledge base and skills to tackle real-world data analysis challenges or to pursue more advanced studies.

Educational Objectives

The Certificate in Data Science program aims to:

  1. Prepare students from a variety of sectors for successful careers in data analytics, data management, visualization, and programming for a data science role.
  2. Help students gain hands-on experience in utilizing a variety of statistical and computer science tools and techniques to analyze.
  3. Nurture in students the integrity and ethicality necessary for building and sustaining a successful professional career.

Faculty

Admissions Requirement

Applicants are required to hold a high school diploma or higher.

Graduation Requirement

Candidates are required to pass all courses with a grade of C or higher to complete the certificate.

Curriculum Overview

The Certificate in Data Science program consists of five courses totaling 19 credits. The courses required for completion are as follows:

Code Course Title Credits Prerequisite(s)
Core Requirements (19 cr)
STA101 Introduction to Statistics 3 None
COS102 Introduction to Computer Programming 3 None
DAS101 Introduction to Data Science 3 COS102
DAS241 Data Visualization 3 STA101, COS102
BUS341 Business Data Analysis 3 STA101
COS331 Data Mining 4 DAS241, COS205 or instructor approval
Total Required Credits for Graduation 19

Graduate Certificate in Data Science

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After completing this program, students will have in-depth understanding of the key theories and methodologies in data science, with focus on the areas of statistics, data mining, and machine learning.

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  • Overview
  • Requirements
  • Curriculum Details

Program Purpose

The Graduate Certificate in Data Science program offers a rigorous curriculum that prepares students for careers in data science. The program covers the fundamental concepts and practical skills necessary for data analysis, modeling, and visualization, as well as the application of machine learning, artificial intelligence, and cloud computing to real-world data problems.

By the end of the program, students will have a solid foundation in the mathematical and statistical concepts necessary for data analysis, as well as hands-on experience with Python programming, data analysis, and visualization tools. They will also have practical experience using machine learning and AI techniques to solve real-world problems and be prepared for careers in data science career.

Educational Objectives

The Graduate Certificate in Data Science program aims to:

  1. Demonstrate a solid understanding of the mathematical foundations of data science, including linear algebra, calculus, probability theory, and statistical inference.
  2. Apply their knowledge of data analysis and visualization using Python libraries such as NumPy, Pandas, and Matplotlib.
  3. Perform data mining and machine learning tasks to solve real-world problems, including supervised and unsupervised learning, deep learning, natural language processing, and computer vision.
  4. Set up and deploy/manage big data and cloud computing environments, and process large datasets using distributed computing techniques. Develop a strong understanding of how data can drive business decisions, and communicate data insights effectively to stakeholders.

Faculty

Admissions Requirement

Applicants to the Graduate Certificate in Data Science are required to have an undergraduate degree with an average GPA of 2.8 or higher. Prior quantitative coursework (calculus, linear algebra, statistics, etc.) and experience in computer programming are recommended.

Graduation Requirement

Candidates are required to pass all courses with a grade of B minus or higher to complete the certificate.

Curriculum Overview

The Graduate Certificate in Data Science program consists of five courses totaling 15 credits. The courses required for completion are as follows:

Code Course Title Credits Prerequisite(s)
Core Requirements (15 cr)
DAS501 Mathematical Foundations for Data Science 3 None
COS501 Computational Foundation for Data Science 3 None
DAS541 Data mining for Business 3 DAS501, COS501
DAS522 Exploratory Data Analysis and Visualization 3 DAS501, COS501
COS536 Applied Machine Learning 3 DAS541
Total Required Credits for Graduation 15

MS in Data Science

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The Master of Science in Data Science program seeks to produce students with advanced theory and methods of data science, with the ability to apply their knowledge and methods to solve practical problems in their field of interest.

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  • Overview
  • Learning Outcomes
  • Requirements
  • Curriculum Details

Program Purpose

The Master of Science in Data Science program seeks to produce students with advanced theory and methods of data science, with the ability to apply their knowledge and methods to solve practical problems in their field of interest.

Educational Objectives

The Master of Science in Data Science program aims to:

  1. Have in-depth understanding of the key theories and methodologies in data science, with focus on the areas of statistics, data mining, and machine learning.
  2. Be fluent in statistical programming languages and big data tools through coursework, projects and applied research.
  3. Be able to analyze problems and make data-driven decisions with professionalism in real world settings.

Faculty

Program Learning Outcomes

After completing this program, students will:

  1. Have in-depth understanding of the key theories and methodologies in data science, with focus on the areas of statistics, data mining, and machine learning.
  2. Be proficient in statistical programming languages and big data tools through coursework, projects, and applied research.
  3. Be able to analyze problems and make data-driven decisions with professionalism in real world settings.

Admissions Requirement

Institutional-wide Admission Criteria

  • Completion of undergraduate degree
  • Official Transcript: allow for evaluation of academic performance, relevant coursework, and overall readiness for college-level study.
  • Personal Statement: helps reviewers understand the applicant’s motivations and aspirations to pursue the program of study.
  • CV: presents the academic and professional history of the applicant
  • Letters of Recommendation: Letters of recommendation from teachers, mentors, or professionals familiar with the applicant’s abilities and potential, and additional insights into the applicant’s character, work ethic, and potential for success in the program.

Program-specific Criteria

All applicants to the MS in Data Science are required to have an undergraduate degree in data science, statistics, computer science, applied mathematics, or another major with adequate quantitative background. Prior quantitative coursework (calculus, linear algebra, statistics, etc.) and prior computer programming and theory coursework are required.

Graduation Requirement

  • The academic requirements for graduation are the successful completion of the curriculum with a grade point average of no less than 2.7.
  • In addition, a graduate must have taken at least 50% of all courses from FTC Northern.

Curriculum Overview

The MS in Data Science is a 36-semester credit curriculum with three major components: core requirements, electives, and a capstone project.

AreaCredits
Core Requirements15-21
Electives9-15
Capstone6
Total Required Credits for Graduation36

Curriculum Details

The program requirements are comprised of foundations for Data Science (6 credits), statistics (3 credits), data analytical tools (3 credits), data mining and machine learning (6 credits), ethics in Data Science (3 credits), electives, and a capstone project.

Course List for MS in Data Science

Code Course Title Credits Prerequisite(s)
Core Requirements (15-21 cr)
DAS501 Mathematical Foundation for Data Science* 3 None
COS501 Computational Foundation for Data Science* 3 None
DAS502 Probability for Data Science 3 DAS501, COS501
DAS522 Exploratory Data Analysis and Visualization 3 DAS501, COS501
DAS541 Data Mining for Business 3 DAS501, COS501
COS536 Applied Machine Learning 3 DAS541
DAS548 Ethics in Computer and Data Science 3 None
Electives (9-15 cr) Select from the following
DAS512 Statistical Inference and Modeling 3 DAS502
COS531 Modern Applied Statistical Learning 3 DAS502
COS541 Big Data and Data Engineering 3 None
COS643 Computer Vision and Natural Language Processing 3 COS536
STA511 Advanced Regression Analysis 3 DAS501
DAS631 Generative AI: Foundation and Application 3 COS536
STA521 Design and Analysis of Experiments 3 DAS502
STA541 Survival Analysis 3 DAS512
Capstone Project (6 cr)
DAS761 Capstone Project 6 Department Approval
Total Credits Required for Graduation 36

* Can be exempt upon meeting certain criteria and with permission from the department. For each exemption one extra elective needs to be taken to meet the requirement for graduation.

MS in Quantum Computing (Online)

Not Found

The Master of Science in Quantum Computing program seeks to provide students with a comprehensive education in the principles and applications of quantum computing. Through a combination of theoretical and hands-on coursework, students will develop a strong foundation in quantum mechanics, computer science, and mathematics, and learn how to apply these principles to the design and analysis of quantum computing systems.

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  • Overview
  • Learning Outcomes
  • Requirements
  • Curriculum Details

Program Purpose

The Master of Science in Quantum Computing program seeks to provide students with a comprehensive education in the principles and applications of quantum computing. Through a combination of theoretical and hands-on coursework, students will develop a strong foundation in quantum mechanics, computer science, and mathematics, and learn how to apply these principles to the design and analysis of quantum computing systems.

Educational Objectives

The Master of Science in Quantum Computing program aims to:

  1. Students will develop a strong foundation in the mathematical principles of quantum mechanics, including linear algebra and probability theory.
  2. Students will develop a strong foundation in the principles of quantum algorithms and their implementation on quantum hardware, to gain fluency in statistical programming languages and big data tools through coursework, projects and applied research.
  3. Students will be able to implement practical applications of quantum computing and analyze their advantages and limitations, as well as to program and simulate quantum computers using languages such as Qiskit, Cirq, and Bracket.

Faculty

Program Learning Outcomes

After Completing this program, students should:

  1. Students will develop a strong foundation in the mathematical principles of quantum mechanics, including linear algebra and probability theory. 
  2. Students will develop a strong foundation in the principles of quantum algorithms and their implementation on quantum hardware, to gain fluency in statistical programming languages and big data tools through coursework, projects and applied research. 
  3. Students will be able to implement practical applications of quantum computing and analyze their advantages and limitations, as well as to program and simulate quantum computers using languages such as Qiskit, Cirq, and Bracket.

Admissions Requirement

Institutional-wide Admission Criteria

  • Completion of undergraduate degree
  • Official Transcript: allow for evaluation of academic performance, relevant coursework, and overall readiness for college-level study.
  • Personal Statement: helps reviewers understand the applicant’s motivations and aspirations to pursue the program of study.
  • CV: presents the academic and professional history of the applicant
  • Letters of Recommendation: Letters of recommendation from teachers, mentors, or professionals familiar with the applicant’s abilities and potential, and additional insights into the applicant’s character, work ethic, and potential for success in the program.

Program-specific Criteria

  • All applicants to the MS in Quantum Computing should have an undergraduate degree in related fields such as physics, mathematics, computer science, or engineering.
  • Applicants are required to have a minimum undergraduate GPA of 2.7 to be considered for admission.

Graduation Requirement

  • Successful completion of the curriculum with a grade point average of no less than B minus (2.7).
  • Take at least 50% of required credits from FTC Northern.
  • Complete the MS degree within 4 years of matriculation to the program.

Curriculum Overview

The MS in Quantum Computing is a 33-semester credit curriculum with three major components: core requirements, electives, and a capstone project.

MS in Quantum Computing Curriculum

Area Credits
Core Requirements 23
Foundation 9
Quantum Algorithms 6
Applications and Special Topics 6
Electives 6
Capstone 4
Total Required Credits for Graduation 33

Curriculum Details

Code Course Title Credits Prerequisite(s)
Core Requirements (23 cr)
QCI400 Overview of Quantum Computing 2 None
QCI401 Mathematical Foundations of Quantum Computing 3 None
QCI501 Qubits, Quantum Gates and Quantum Circuits 3 Co-Requisite: QCI401
QCI521 Foundational Quantum Algorithms 3 QCI501
QCI531 Practical Quantum Computing Applications 3 Co-Requisite: QCI521
QCI601 Quantum Computing Hardware and Systems 3 QCI501
QCI621 Advanced Quantum Algorithms – Machine Learning 3 QCI521
QCI641 Topics in Quantum Computing 3 QCI531
Electives (Select two from the following)(6 cr)
COS531 Modern Applied Statistical Learning 3 DAS502
COS541 Big Data Engineering 3 None
QCI602 Advanced Quantum Mechanics 3 QCI401
COS536 Applied Machine Learning 3 DAS541
COS643 Computer Vision and Natural Language Processing 3 COS536
Capstone Project (4 cr)
QCI651 Capstone Project 4 QCI641
Total Credits Required for Graduation 33
MFA in Dance

Not Found

The Master of Fine Arts (MFA) in Dance program seeks to help professionally experienced dance artists who have been trained systematically at the undergraduate level either in Classical Chinese Dance or Classical Ballet to acquire artistry, knowledge, and competency to become lead or principal dancers, managers, college faculty, researchers, or scholars so they can help preserve, promote, and facilitate cross-communications between Classical Chinese Dance and Classical Ballet in diverse cultural settings.

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  • Overview
  • Learning Outcomes
  • Requirements
  • Curriculum Details

Program Purpose

The Master of Fine Arts (MFA) in Dance program seeks to help professionally experienced dance artists who have been trained systematically at the undergraduate level either in Classical Chinese Dance or Classical Ballet to acquire artistry, knowledge, and competency to become lead or principal dancers, managers, college faculty, researchers, or scholars so they can help preserve, promote, and facilitate cross-communications between Classical Chinese Dance and Classical Ballet in diverse cultural settings.

Educational Objectives

The Master of Fine Arts in Dance program aims to:

  1. To help students develop advanced technical proficiency and artistry in dance that enables them to pursue professional careers in performance, choreography, teaching, and/or administration.
  2. To enable students to develop the ability to create original choreographic works in dance both independently and in collaboration with others, as well as to conduct investigative research in dance.
  3. To obtain requisite knowledge and skills for teaching and explaining dance in its cultural, historical, and aesthetic contexts through both verbal and written language to audiences with diverse backgrounds.

Faculty

Program Learning Outcomes

After completing this program, students will:

  • Students will maintain technical proficiency while refining one’s expression in Classical Ballet and/or Classical Chinese Dance.
  • Students will develop further insight into movement range, processes and mechanics, and movement principles in Classical Ballet and/or Classical Chinese dance.
  • Students will choreograph works that embody one’s own artistic philosophy, style, and intellectual insight.
  • Students will be able to resourcefully conduct research, and effectively utilize knowledge for investigative purposes and theoretical inquiry.
  • Students will display extensive dance knowledge that encompasses the areas of history, theory, science, and education, and be able to describe their interrelation.
  • Students will be able to articulate and defend one’s theoretical understanding and artistic views through lucid oral and written discourse.

Admissions Requirement

Institutional-wide Admission Criteria

  • Completion of undergraduate degree
  • Official Transcript: allow for evaluation of academic performance, relevant coursework, and overall readiness for college-level study.
  • Personal Statement: helps reviewers understand the applicant’s motivations and aspirations to pursue the program of study.
  • CV: presents the academic and professional history of the applicant
  • Letters of Recommendation: Letters of recommendation from teachers, mentors, or professionals familiar with the applicant’s abilities and potential, and additional insights into the applicant’s character, work ethic, and potential for success in the program.

Program-specific Criteria

  • Unless an in-person interview could be arranged, applicants must submit a 5-minute audition video file of the applicant performing ballet, classical Chinese dance, and/or another dance form. The video does not need to be recent—it can be a video from when the applicant was at the peak of his/her performance career. Recordings must be unedited and clearly labeled with the applicant’s full name and a list of the repertoire performed therein. Alternatively, applicants can also submit 10 dance photos of themselves.
  • Applicants may be invited to campus for a live audition if deemed necessary. The live audition consists of a condensed class dance technique and lasts for approximately one and a half hours. If the applicant passes the first part of the audition, he or she will be asked to perform a short solo dance piece that the applicant has learned or choreographed. The solo should be accompanied by music that is playable from an MP3 player or similar device.

Specific admission criteria for the MFA in Dance program include:

  • Prior systematic training in ballet, classical Chinese dance, and/or general dance competency
  • Prior professional experience in dance performance, production, choreography, and/or dance teaching
  • Experience or exhibiting keen interest in using the form of dance for cross-cultural communication.

Graduation Requirement

Students must complete all the required credits in the Studio Core Requirements, Academic Core Requirement, Free Electives, and the final Master’s Project with a minimum GPA of 2.5 in order to graduate.

Curriculum Overview

The MFA in Dance is a 60-semester credit curriculum with four major components: studio core requirements, academic core requirements, electives, and a capstone project with an optional thesis.

MFA in Dance Curriculum

Area Credits
Studio Core Requirements 22
Concentration courses, one of 22
Classical Chinese Dance
Techniques 16
Repertoire 4
Choreography 2
Classical Ballet
Techniques 16
Repertoire 4
Choreography 2
Academic Core Requirements 12
Pedagogy 2
History and Theory 4
Dance Science 3
Research 2
Music 1
Graduate Electives Requirements 16
Studio Electives >6
Academic Electives >6
Dance Professionalism & Research 4
Master’s Project 6
Total Required Credits for Graduation 60

Curriculum Details

Code Course Title Credits Prerequisite(s)
Studio Core 22
Choose one of the following concentrations:
Classical Ballet Concentration 22
DAB501R Advanced Classical Ballet I 8 None
DAB601R Advanced Classical Ballet II 8 DAB501R
DAB521R Repertory I: Classical Ballet 4 None
DAB534 Graduate Choreography I: Classical Ballet 2 None
Classical Chinese Dance Concentration 22
DAN501R Advanced Classical Chinese Dance I 8 None
DAN601R Advanced Classical Chinese Dance II 8 DAN501R
DAN521R Repertory I: Classical Chinese Dance 4 None
DAN534 Graduate Choreography I: Classical Chinese Dance 2 None
Academic Core 12
DAN511 Dance Throughout the Ages 3 None
DAN512 Dance Kinesiology 3 None
DAN531 Advanced Pedagogy I 2 None
DAN545 Integration of Dance and Music 1 None
DAN548 Seminar: Dance in Cultural Context 1 None
LAS550 Research Methodology in the Arts 2 None
Graduate Electives 16
Studio Electives – select at least 6 cr from the following:
(2 credits must be a studio fundamentals course NOT within the student’s concentration)
DAN502R Advanced Pointe & Partnering I 4 (2 cr per sem) Instructor Consent
DAN602R Advanced Pointe & Partnering II 4 (2 cr per sem) DAB502R
DAN522 Acting for Stage 2 None
DAB535 Graduate Choreography II: Ballet 2 DAB534
DAN535 Graduate Choreography II: Classical Chinese Dance 2 DAN534
DAN541 Intermediate Techniques of Classical Chinese Dance I 2 None
DAN542 Intermediate Techniques of Classical Chinese Dance II 2 DAB541
DAB541 Intermediate Techniques of Classical Ballet I 2 None
DAB542 Intermediate Techniques of Classical Ballet II 2 DAN542
DAN543 Intermediate Techniques of Modern Dance I 2 Instructor Consent
DAN544 Intermediate Techniques of Modern Dance II 2 DAN543
DAB621R Repertory II: Ballet 4 (2 cr per sem) DAB521R
DAN621R Repertory II: Classical Chinese Dance 4 (2 cr per sem) DAN521R
Academic Electives – select at least 6 cr from the following:
DAN532 Advanced Pedagogy II 2 DAN531
DAN633 Psychology in Dance Education 2 DAN531
DAN646 Topics in Dance Ethnography 2 None
DAN647 Perspectives on Dance Aesthetics 2 None
LAS522 Seminar in Performing Arts Management 2 None
LAS570 Media Technology for the Arts 2 None
DAN652 Independent Study or Project 2 Department Chair approval
Dance Professionalism & Research 4
DAN661 Applied Experiential Learning Practicum 4 Department Chair approval
Master Projects 6
DAN651 Master’s Project 6 LAS550
Total Credits Required for Graduation 60
BS in Data Science

Not Found

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  • Overview
  • Learning Outcomes
  • Requirements
  • Curriculum Details

Program Purpose

The Bachelor of Science in Data Science program seeks to provide students with a solid foundation in data analysis and data management methods and skills, as well as experience in the practical applications of data science to prepare students for careers or advanced studies in data analysis or a related field.

Educational Objectives

The Bachelor of Science in Data Science program aims to:

  1. Provide students with a solid foundation in the theories and methods of mathematics and statistics, computer science principles relating to data representation, retrieval, and programming, key technologies in data science, as well as the effective use of data analysis tools to practical applications.
  2. Equip students with hands-on experience and professional skills in practical data analysis, problem solving, and data driven decision-making.
  3. Enable students to develop critical thinking and communication skills, along with a sense of teamwork, professional attitudes, and ethical judgment.

Faculty

Program Learning Outcomes

After completing the program, students should:

1. Demonstrate command of key concepts, methods, theories and application in the core areas of data science: data mining and statistical analysis, inferential and predictive modeling, programming and data management.

2. Demonstrate proficiency with statistical analysis of data, develop the ability to build and assess data-based models, and execute statistical analyses with professional statistical software; develop relevant programming abilities and skills in data management. 

3. Apply skills and knowledge in a collaborative and professional setting through projects, practical and internships experiences.

4. Identify social, legal, and ethical issues in data science and apply a professional code of ethics relevant to the data science profession.

5. Demonstrate a capacity for critical thinking and communicating complex statistical methods to managers and other audiences.

Admission Requirements

  • Applicants entering as freshmen should have one of the following:
    • minimum score of 670 on the Math section of the SAT, 
    • a 29 on the Math section of the ACT.
    • a score of 3 or higher in AP Calculus AB or BC exams, 
    • a grade of “C” or higher in a 3-credit-hour (or more) Calculus I course from an accredited US college for any student to be admitted. 
  • Transfer students should have a minimum cumulative GPA of 2.3.

Graduation Requirement

  • The academic requirements for graduation are the successful completion of the curriculum with a grade point average of no less than 2.0.
  • In addition, a graduate must have taken at least 50% of all courses from FTC Northern.
  • Students must also complete at least 42 courses designated as “LAS” or Liberal Arts and Science in accordance with New York State regulations.

Curriculum Overview

The BS in Data Science is a 120-semester credit curriculum with three major components: major requirements, core general education courses, and free electives.

BS in Data Science Curriculum

Area Credits
Major Requirements 65
    Mathematics and Statistics 21
    Computer Science 19
    Senior Synthesis and Career Development 9
    Major Electives 16
General Education Requirements 42
    Humanities 6
    Art and Aesthetics 5
    Values and Ethics 3
    Writing and Rhetoric 9
    Quantitative Reasoning (fulfilled by major requirements) 0
    Natural Sciences 4
    Social Sciences 6
    World Languages 6
    Personal Management 3
Free Electives 13
Total Required Credits forGraduation 120

Curriculum Details

Major Requirements(65 credits)

The major requirements are comprised of fundamental courses in mathematics and statistics (21 credits), computer science (19 credits), courses that enable students to develop professional working ethics, experience and insights (9 credits), as well as major electives (16 credits).

Code Course Title Credits Prerequisite(s)
Major Core (49 cr)
Mathematics and Statistics (21 cr)
MAT105 Calculus I 4 None
DAS101 Introduction to Data Science 3 COS102
MAT201 Linear Algebra 4 None
COS211 Probability for Computer Science 4 MAT105, COS102
DAS241 Data Visualization 3 COS102, STA101 or COS211
DAS251 Data Inference 3 COS102, COS211
Computer Science (19 cr)
COS102 Introduction to Computer Programming 3 None
COS205 Data Structures 4 COS102
COS321 Database Systems 4 COS205
COS331 Data Mining 4 MAT201, COS211, DAS241
DAS435 Machine Learning and Artificial Intelligence 4 COS331
Senior Synthesis, Career Development and Ethics (9 cr)
DAS148 Ethical Topics in Data Science 1 None
DAS149 Career Development in Data Science 1 None
COS431 Ethics in Computer and Data Science 3 None
DAS491 Senior Project 4 Permission form
Major Electives (16 cr) Select from the following list with at least two courses from 300 or 400 level
Data Science Electives (at least 8 cr required)
STA101 Introduction to Statistics 3 None
COS105 Object-Oriented Programming 4 COS102
MAT106 Calculus II 4 MAT105
COS141 Essentials for Software Development in Data Science 1 None
COS224 Web Programming: Front-End 3 COS102
COS225 Web Programming: Back-End 3 COS102
COS243 Prompt Engineering and Application of Generative AI 3 COS102
STA311 Applied Regression Analysis 3 STA101 or COS211, MAT201
DAS341 Business Data Analysis 3 STA101 or COS211
COS346 Big Data Engineering 3 COS205, COS321
DAS361 Data Science Internship I 3 Permission form
DAS362 Data Science Internship II 1 DAS361
STA421 Design and Analysis of Experiments 3 DAS251
STA441 Survival Analysis 3 DAS251
DAS452 Independent Study for Data Science 2 Permission form
Computer Science Electives
COS151 Introduction to Information Technology 3 None
COS153 Networking Technologies and Telecommunications 3 COS151
COS161 Introduction to Cybersecurity 3 None
COS203 Discrete Mathematics and Probability Theory 4 COS102
COS213 Computer Architecture 4 COS205
COS251 Linux Systems and Network Administration 3 COS153
COS253 Routing and Switching Essentials 3 COS153
COS261 Cybercrime and Governance 3 COS161
COS263 Network and System Security 3 None
COS305 Algorithm Design & Analysis 4 COS203, COS205
COS351 Wireless Technology 3 COS253
COS353 Introduction to Cloud Computing 3 COS102
COS361 Wireless and Mobile Security 3 COS263
COS363 Cyber Forensics 3 COS261
COS403 Computer Operating Systems 4 COS213
COS425 Software Engineering 4 COS105, COS213
COS435 Cryptography 3 COS203
COS461 Ethical Hacking 3 COS363
Total Credits Required for Graduation 65  

General Education Core (42 credits)

Northern requires that all undergraduate students, regardless of major, complete core general education courses in nine distributions. The Gen Ed requirements for Data Science students are 42 credits.

Code Course Title Credits Prerequisite(s)
Humanities (6 cr) Select two from the following
CIV111 Western Civilization 3 None1
CIV112 Chinese Civilization 3 CLC112 or instructor approval
CIV113 World Civilization 3 None1
HIS231 Topics in Chinese History 3 CIV112
Writing and Rhetoric (9 cr)
ENG101 English Composition I 3 None
Select one from the following (3 cr)
ENG102 English Composition II 3 ENG101
ENG201 Academic Writing 3 ENG101
ENG205 Writing for Media 3 ENG101
Select one from the following (3 cr)
ENG231 Survey of Western Literature 3 ENG101
ENG104 Public Speaking 3 None
ENG221 Debate and Argumentation 3 ENG101
Quantitative Reasoning (0 cr) Fulfilled by major requirements
Social Sciences (6 cr) Select two from the following
ECO101 Principles of Economics 3 None
PSY101 Introduction to Psychology 3 None
SOC101 Introduction to Sociology 3 None
POL101 Introduction to Political Science 3 None
Natural Sciences (4 cr) Select one sequence from the following
PHY101 General Physics I 3 Co-requisite with PHY101L
PHY101L General Physics I Lab 1 Co-requisite with PHY101
CHM100 Principles of Chemistry 3 Co-requisite with CHM101L
CHM100L Principles of Chemistry Lab 1 Co-requisite with CHM101
BSC100 Principles of Biology 3 Co-requisite with BSC101L
BSC100L Principles of Biology Lab 1 Co-requisite with BSC101
Art and Aesthetics (5 cr) Select at least 5 credits from the following
ARH131 History of Graphic Design 3 None
DAN242 History of Dance: East and West 2 None
MUS204 History of Music 3 None
MUS243 History of Chinese Music 3 None
ARH211 History of Cinema and Video 2 ARH131 or instructor approval
ARH101 Art History I 3 None1
ARH102 Art History II 3 None1
ART111 Visual Literacy I 2 None
MUS111A Western Music Theory A 2 Instructor approval
MUS111B Western Music Theory B 2 MUS111A
Values and Ethics (3 cr)
PHL130 Philosophical Perspectives I 1 None
PHL131 Philosophical Perspectives II 1 None
PHL231 Philosophical Perspectives III 1 PHL130 and 131
World Languages (6 cr）Select one sequence from the following
CLC111 Elementary Chinese I 3 Placement test
CLC112 Elementary Chinese II 3 CLC111
CLC211 Intermediate Chinese I 3 Placement test
CLC212 Intermediate Chinese II 3 CLC211
CLC311 Advanced Chinese I 3 Placement test
CLC312 Advanced Chinese II 3 CLC311
SPN101 Elementary Spanish I 3 None
SPN102 Elementary Spanish II 3 None
Personal Management (3 cr) Select at least 3 credits from the following
LAS102 College Success2 2 None
LAS004 Career Development3 0 None
LAS005 Cultivation Practice 0 None
BMS132 Nutrition, Health and Wellness 2 None
PEW101 Wellness through Dance 1 None
PEW102 Wellness through Pilates 1 None
Total Credits Required for Graduation 42  

1 Theses courses require either the student’s Evidence-Based Reading and Writing section of SAT score is above 570 or the student passes FTC Northern’s English placement test unless the student receives consent from both his/her advisor and the course instructor.

2 Required for freshmen students.

3. Required for all undergraduates.

Free Electives (13 credits)

Students are free to choose 13 credits beyond major and Generation Education requirements from any university level courses offered by FTC Northern.

BFA in Dance

Not Found

The Bachelor of Fine Arts in Dance program seeks to instill a solid foundation and an excellent educational experience to prepare qualified and aspiring students for careers or advanced studies in Classical Ballet, Classical Chinese Dance or a related field.

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  • Overview
  • Learning Outcomes
  • Requirements
  • Curriculum Details

Program Purpose

The Bachelor of Fine Arts (BFA) in Dance program seeks to instill a solid foundation and an excellent educational experience to prepare qualified and aspiring students for careers or advanced studies in Classical Ballet, Classical Chinese Dance or a related field.

Educational Objectives

The Bachelor of Fine Arts in Dance program aims to:

  • To enable students to develop a multifaceted physicality through systematic training in dance techniques as well as the ability to perform, create, educate, and administrate in the fields of Classical Ballet and/or Classical Chinese Dance.
  • To equip students with professional experiences and the ability to apply professional knowledge and skills in practical problem solving and decision-making related to dance, along with a sense of teamwork, professional attitudes, and ethical judgment.
  • To enable students to develop communication and critical thinking skills for life-long learning, the ability to appreciate the cultures, values, and arts of human traditions, and a respect for moral character.

Faculty

Program Learning Outcomes

After completing this program, students should be able to:

  • Students can demonstrate the correct execution of dance movements in Classical Ballet and/or Classical Chinese Dance.
  • Students can rehearse and perform expressively in front of a live audience.
  • Students can use choreographic tools to create original dance works.
  • Students will be able to explain and contextualize key concepts from dance-based pedagogy, kinesiology, arts administration, and dance history/cultural studies through discussions, essays, exams, and presentations.
  • Students will exhibit a professional work ethic and practically apply knowledge from dance academic courses by completing projects and/or professional internships.

Admissions Requirement

Institutional-wide Admission Criteria

  • Completion of high school or equivalent.
  • Official Transcript: allow for evaluation of academic performance, relevant coursework, and overall readiness for college-level study.
  • Personal Statement: helps reviewers understand the applicant’s motivations and aspirations to pursue the program of study.
  • Letters of Recommendation: Letters of recommendation from teachers, mentors, or professionals familiar with the applicant’s abilities and potential, and additional insights into the applicant’s character, work ethic, and potential for success in the program.

Program-specific Criteria

In addition to meeting the general college admissions requirements, applicants to the undergraduate dance program (BFA in Dance) are expected to have a minimum of two years’ experience with ballet, classical Chinese dance, or other dance training.

In lieu of an in-person interview, applicants to the graduate dance program are required to submit a 5-minute audition video file of the applicant performing ballet, classical Chinese dance, and/or another dance form. The video must be made within six months of the date of application. Recordings must be unedited and clearly labeled with the applicant’s full name and a list of the repertoire performed therein.

Applicants may be invited to campus for a live audition if deemed necessary. The live audition consists of a condensed class dance technique and lasts for approximately one and a half hours. If the applicant passes the first part of the audition, he or she will be asked to perform a short solo dance piece that the applicant has learned or choreographed. The solo should be accompanied by music that is playable from an MP3 player or similar device.

Applicants will be assessed on their:

Applicants will be assessed on their:

  • Potential for a career in dance
  • Physique and body alignment
  • Coordination and flexibility
  • Rhythmic accuracy
  • Ability to replicate movement combinations
  • Respect for moral character and the commitment to learn ballet and classical Chinese dance in a holistic way.

Graduation Requirement

  • Students must complete all the required credits in the Major Requirements, General Education Core and Free Electives with a minimum GPA of 2.0 in order to graduate.
  • Students must also complete at least 41 courses designated as “LAS” or Liberal Arts and Science in accordance with New York State regulations.

Curriculum Overview

The curriculum for the BFA in Dance is a 124-semester credit program with three major components: major requirements, general education requirements, and free electives.

Curriculum Structure for BFA in Dance

Area Credits
Dance Fundamental Skills and Training 14
Dance History, Education & Administration 19
Concentration courses (Classical Ballet / Classical Chinese Dance) 44
Professionalism and Research 6
General Education Requirements 37
Free Electives 6
Total Required Credits for Graduation 124

Major Required Courses for BFA in Dance (81 credits)

Code Course Title Credits Prerequisite(s)
Dance Fundamental Skills and Training (14 cr)
DAB101R Fundamentals of Classical Ballet I 6 Dept. Approval for (non-dance majors)
DAN101R Fundamentals of Classical Chinese Dance I 6 Dept. Approval for (non-dance majors)
DAN121R Introduction to Repertoire of Dance 2
Dance History, Education, and Administration (19 cr)
DAN211 History of Dance: East and West 2
DAN212 Dance Anatomy 3
DAN331 Dance Pedagogy I 2 DAN211 & DAN212
DAN332 Dance Pedagogy II 2 DAN331
DAN334 Composition I 2
DAN335 Composition II 2 DAN334
BUS121 Fundamentals of Arts Management 3
MKT201 Principles of Marketing 3
Dance Professionalism and Research (6 cr)
DAN351 Applied Experiential Learning Practicum 2 Dept. Approval
DAN451 Senior Project 4 Completion of 85 credits
DAN461 Senior Internship 4 Completion of 85 credits
Select one of the two concentrations
Concentration – Classical Ballet (42 cr)
Skills and Techniques
DAN201R Fundamentals of Classical ballet II 6 DAB101R
DAB301R Fundamentals of Classical Ballet III 8 DAB201R
DAB401R Fundamentals of Classical Ballet IV 8 DAB301R
DAB102R Ballet – Pointe & Partnering I 2 DAB101R or instructor consent
DAB202R Ballet – Pointe & Partnering II 2 DAB102R
DAB302 Ballet – Pointe & Partnering III 2 DAB202R
DAB103R Character Dance I 2
DAB203R Character Dance II 2 DAB103R
DAB303R Character Dance III 2 DAB203R
Repertory (5 cr)
DAB221R Repertory and Rehearsal I: Classical Ballet 2 DAN121R
DAB321R Repertory and Rehearsal II: Classical Ballet 3 DAB221R
Music (3 cr)
MUS140 History of Music 3
Concentration – Classical Chinese Dance (42 cr)
Skills and Techniques (34 cr)
DAN201R Fundamentals of Classical Chinese Dance II 6 DAN101R
DAN301R Fundamentals of Classical Chinese Dance III 8 DAN201R
DAN401R Fundamentals of Classical Chinese Dance IV 8 DAN301R
DAN102R Shen Yun I 2
DAN202R Shen Yun II 2 DAN102R
DAN103R Chinese Folk and Ethnic Dances I 2
DAN203R Chinese Folk and Ethnic Dances II 2 DAN103R
DAN104R Special Techniques in Chinese Dance I 2 DAN101R or instructor consent
DAN204R Special Techniques in Chinese Dance II 2 DAN104R
Repertory (5 cr)
DAN221R Repertory and Rehearsal I: Classical Chinese Dance 2 DAN121R
DAN321R Repertory and Rehearsal II: Classical Chinese Dance 3 DAN221R
Music (3 cr)
MUS243 History of Chinese Music 3
Total Major Requirements 81

General Education Curriculum for Dance Major (37 credits)

Code Course Title Credits Prerequisite(s)
College Core (11 cr)
College Success (2 cr)
LAS102 College Success 2
LAS004 Career Development 0 Required
College English (3 cr)
ENG101 Effective English 3
World Civilizations (6 cr)
CIV111 Western Civilization 3
CIV112 Chinese Civilization 3
CIV113 World Civilization 3
Breadth Distribution (18 cr)
Humanities (6 cr)
HUM125 U.S. Society and Government 3
HUM204 Survey of Western Literature 3 ENG101
HUM221 The Making of the MOdern World 3
HUM222 Topics in Chinese History 3
Writing and Rhetoric (3 cr)
ENG104 Public Speaking 3 ENG101
ENG201 Academic Writing 3 ENG101
ENG205 Writing for Media 3 ENG101
ENG221 Debate and Argumentation 3 ENG101
Quantitative Reasoning (3 cr)
MAT101 Public Speaking 3
STA101 Introduction to Statistics 3
MAT201 Linear Algebra 4
MAT104 Applied Calculus 3
MAT105 Calculus I 4
MAT106 Calculus II 4 MAT105
Social Sciences (3 cr)
ECO101 Principles of Economics 3
BMS135 Introduction to Psychology 3
SOC101 Introduction to Sociology 3
Values and Ethics (3 cr)
PHL130 Philosophical Perspectives I 1
PHL131 Philosophical Perspectives II 1
PHL231 Philosophical Perspectives III 1 PHL130 & 131
LAS005 Self-cultivation Practice 0
World Language and Literature (8 cr)
CLC111 Elementary Chinese I 4
CLC112 Elementary Chinese II 4
CLC211 Intermediate Chinese I 4
CLC212 Intermediate Chinese II 4
CLC311 Advanced Chinese I 4
CLC312 Advanced Chinese II 4
Total Required Credits 37

Free Electives (6 credits)

Students are free to choose 6 credits from the following dance elective courses or any college level courses offered by the College.

Dance Electives

Code Course Title Credits Prerequisite(s)
LAS102 College Success 2
DAN122 Performing and Acting 2
DAB141 Introduction to Classical Ballet 1
DAN141 Introduction to Classical Chinese Dance 1
DAB102R* Ballet – Pointe & Partnering I 2 (1cr per sem) Instructor consent
DAN143R* Modern Dance 4 (cr per sem) Instructor consent
DAN302R* Shen Yun III 3 (1.5 cr per sem) DAN202R
DAN303R* Chinese Folk & Ethnic Dances III 2 (1 cr per sem) DAN203R
DAN304R* Special Techniques in Chinese Dance III 2 (1 cr per sem) DAN204R
DAB402R* Ballet – Pointe & Partnering IV 2 (1 cr per sem) DAB302R
DAB403R* Character Dance IV 2 (1 cr per sem) DAB303R
DAB421R* Repertory and Rehearsal III: Ballet 4 (2 cr per sem) DAB321R
DAN421R* Repertory and Rehearsal III: Classical Chinese Dance 4 (2 cr per sem) DAN321R
DAN434 Beginning Choreography 2 DAN335
DAN452 Independent Study for Dance 2 Department Chair Approval
Or any other college level courses
* For studio courses labeled with “R”, students are eligible to receive credit(s) after 1 semester rather than to complete the required 2 semesters.

Dance Minor Curriculum (20 credits)

Code Course Title Credits Prerequisite(s)
Dance Fundamentals (12 cr)
Dance Minor students are required to take 3 cr each of DAB101R and DAN101R
DAB101R* Fundamentals of Classical Ballet I 6 (3 cr per sem)
DAB201R* Fundamentals of Classical Ballet II 6 (3 cr per sem) DAB101R
DAN101R* Fundamentals of Classical Chinese Dance I 6 (3 cr per sem)
DAN201R* Fundamentals of Classical Chinese Dance II 6 (3 cr per sem) DAB101R
Dance Electives (8 cr)
DAN121R* Introduction to Repertoire of Dance 2 (1 cr per sem)
DAN132R* Modern Dance 4 (2 cr per sem) Instructor consent
DAB102R* Ballet – Pointe & Partnering I 2 (1 cr per sem) DAB101R, or instructor consent
DAB103R* Character Dance I 2 (1 cr per sem)
DAB221R* Repertory and Rehearsal I: Ballet 2 (1 cr per sem) DAN121R
DAN102R* Shen Yun I 3 (1.5 cr per sem)
DAN103R* Chinese Folk and Ethnic Dances I 2 (1 cr per sem)
DAN104R* Special Techniques in Chinese Dance I 2 (1 cr per sem) DAN101R, or instructor consent
DAN221R* Repertory and Rehearsal I: Classical Chinese Dance 2 (1 cr per sem) DAN121R
DAN211 History of Dance: East and West 2
DAN212 Dance Anatomy 3
DAN331 Dance Pedagogy I 2 DAN211 & DAN212
DAN332 Dance Pedagogy II 2
DAN334 Composition I 2
DAN335 Composition II 2 DAN334
DAN434 Beginning Choreography 2 DAN335
DAN452 Independent Study for Dance 2 Department Chair approval
Students may also select from any other higher level studio courses listed in the Dance Major curriculum
Total Required Credits 20

* For studio courses labeled with “R”, students are eligible to receive credit(s) after 1 semester rather than to complete the required 2 semesters.

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