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Overview
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Learning Outcomes
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Requirements
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Curriculum Details
Program Purpose
The Bachelor of Science in Statistics program seeks to provide students with a comprehensive understanding of statistical theories, methodologies, and problem-solving skills. The program aims to foster a deep appreciation for critical thinking, communication skills, and applying statistical methods across various industries and research domains. Graduates of this program will be well-prepared to contribute to the advancement of statistical techniques and software proficiency and further studies in statistics and related fields at the graduate level or for careers as statisticians, data analysts and research analysts.
Educational Objectives
The Bachelor of Science in Statistics program aims to:
- To develop a solid foundation in statistical theory and concepts including probability theory, hypothesis testing, regression analysis, and sampling techniques, enabling students to apply statistical methods to various disciplines.
- To cultivate critical thinking and problem-solving abilities by enabling students to identify problems, formulate hypotheses, and apply statistical reasoning to solve real-world problems.
- To foster effective communication and collaboration skills, preparing students to effectively communicate statistical findings to both technical and non-technical audiences through reports, visualizations, and presentations.
Faculty
Program Learning Outcomes
After completing this program, students should be able to:
- To develop a solid foundation in statistical theory and concepts including probability theory, hypothesis testing, regression analysis, and sampling techniques, enabling students to apply statistical methods to various disciplines.
- To cultivate critical thinking and problem-solving abilities by enabling students to identify problems, formulate hypotheses, and apply statistical reasoning to solve real-world problems.
- To foster effective communication and collaboration skills, preparing students to effectively communicate statistical findings to both technical and non-technical audiences through reports, visualizations, and presentations.
Admissions Requirement
- 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 Statistics is a 120-semester credit curriculum with three major components: major requirements, core general education courses, and free electives.
BS in Statistics Curriculum
| Area | Credits |
|---|---|
| Major Requirements | 58 |
| Mathematics | 15 |
| Statistics | 21 |
| Computer Science | 3 |
| Senior Synthesis, Career Development and Ethics | 7 |
| Major Electives | 12 |
| General Education Requirements | 44 |
| Humanities | 6 |
| Writing and Rhetoric | 9 |
| Quantitative Reasoning | Fulfilled by major courses |
| Natural Sciences | 4 |
| Social Sciences | 6 |
| Art and Aesthetics | 5 |
| Values and Ethics | 3 |
| World Languages | 8 |
| Personal Management | 3 |
| Free Electives | 20 |
| Total Required Credits for Graduation | 120 |
Major Requirements(58 credits)
The major requirements are comprised of fundamental courses in mathematics (15 credits), statistics (21 credits), and computer science (3 credits), courses that enable students to develop professional experience and insights (7 credits) as well as major electives (12 credits).
| Code | Course Title | Credits | Prerequisite(s)* |
|---|---|---|---|
| Mathematics (15 cr) | |||
| MAT105 | Calculus I | 4 | |
| MAT106 | Calculus II | 4 | MAT105 |
| MAT207 | Calculus III | 3 | MAT106 |
| MAT201 | Linear Algebra | 4 | |
| Statistics (21 cr) | |||
| STA101 | Introduction to Statistics | 3 | |
| STA202 | Introduction to Probability | 3 | MAT106 |
| STA211 | Statistical Theory and Methods | 3 | STA202 |
| DAS241 | Data Visualization | 3 | STA101 |
| STA331 | Applied Regression Analysis | 3 | MAT201 |
| STA421 | Design and Analysis of Experiments | 3 | STA211 |
| STA471 | Introduction to Linear Models | 3 | STA211 & MAT201 |
| Computer Science (3 cr) | |||
| COS102 | Introduction to Computer Programming | 3 | |
| Senior Synthesis, Career Development and Ethics (7 cr) | |||
| LAS004 | Career Development | 0 | |
| COS431 | Ethics in Computer and Data Science | 3 | |
| STA491 | Senior Project | 4 | Dept Approval |
| Major Electives (12 cr) | |||
| STA411 | Introduction to Categorical Data Analysis | 3 | STA211 |
| STA431 | Introduction to Multivariate Analysis | 3 | STA211 |
| STA435 | Bayesian Analysis | 3 | STA211 |
| STA441 | Survival Analysis | 3 | STA211 |
| STA445 | Nonparametric Statistics | 3 | STA211 |
| STA481 | Introduction to Stochastic Processes | 3 | STA202 & STA211 |
| COS321 | Database Systems | 4 | COS205 |
| COS331 | Data Mining | 3 | STA202 & STA305 |
| DAS435 | Machine Learning and Artificial Intelligence | 4 | COS331 |
| COS346 | Big Data Engineering | 3 | COS205 |
| DAS341 | Business Data Analysis | 3 | STA101 or CO211 |
| Total Credits Required for Graduation | 58 | ||
* The listed prerequisites can be waived with consent of instructor.
General Education for Statistics Major (40 credits)
| Code | Course Title | Credits | Prerequisite(s) |
|---|---|---|---|
| College Core (11 cr) | |||
| 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 (18) | |||
| College Success (2 cr) | |||
| Total Credits Required for Graduation | 58 | ||
