The data science and statistics specialization of the mathematics major enables students to concentrate their studies in statistics and to develop a deep understanding of the computational statistical methods that form the bedrock of data science. The Undergraduate Bulletin contains the official list of major requirements. However, students will meet all their requirements by completing the major requirements listed below and in the checklist, meeting the department’s retention and GPA requirements, and completing TCNJ’s College Core requirements. Below are additional program documents and other information about the specialization. For more information, please contact your advisor or the department chair.
Requirements for the mathematics major with specialization in data science and statistics
Core Courses (9.5 units)
MAT 099: Orientation to Mathematics and Statistics
MAT 128: Calculus B
MAT 200: Proof Writing Through Discrete Mathematics
MAT 205: Linear Algebra
MAT 229: Multivariable Calculus
MAT 275: Sophomore Seminar
STA 215: Statistical Inference and Probability
STA 305: Regression Analysis
MAT 316: Probability
STA 410: Mathematical Statistics
STA 498: Capstone
Options (5 units)
Students complete an additional 5 course units by taking courses of their choosing. Students may count at most one course unit of independent study, guided study, or independent research (MAT/STA 39x/49x) as one of the five course units.
Three Data Science/Statistics option courses which can be chosen from any STA courses at the 300/400-level (3 course units).
At minimum, 1 of the option courses must have a Data Science designation. The courses with this designation are:
- STA 306/Applied Multivariate Analysis
- STA 307/Data Mining and Predictive Modeling
Two additional options courses which can be chosen from any MAT/STA courses at the 300/400-level (1-2 course units). One non-MAT/STA course from the following list (0-1 course units):
- CSC 315/Database Systems
- CSC 426/Machine Learning
- ECO 420/Econometrics
- FIN 365/Quantitative Finance and Risk Management
- ISTG 615/Business Analytics (Regression Modeling II)
- PBHG 652/Biostatistics for Public Health
- PUBG 511/Program Evaluation and Causal Inference for Policy Analysis
- SOC 302/Quantitative Research Methods
Correlates (2 units)
- CSC120/Foundation of Computational Thinking or MAT 203/Introduction to Mathematical Computing (1 course unit)
- One natural science course from the list approved by the Mathematics and Statistics department. The course must have a lab component (1 course unit)
Additional documents
- 2025-26 Checklist
- College Core Requirements for Mathematics Majors
- Four-year Planner: 2025-26
- Click here for our previous specializations in Statistics and Data Science.
- Transfer Planner
- Graduation and retention standards
- Honors
- Learning goals
- Science requirements