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.
Mathematics Correlates (3 units)
Students must complete one science lab (200 Level or Above) :
- BIO 201: Foundations of Biological Inquiry
- CHE 201: General Chemistry I
- CHE 202: General Chemistry II
- PHY 201: General Physics I
- PHY 202: General Physics II
- PHY 220: Advanced Geology
- PHY 411: Electromagnetic Waves and Optics
Students must complete one Science Lab, CSC 230 or MAT 341
- CSC 230: CS II: Data Structures
- BIO 201: Foundations of Biological Inquiry
- CHE 201: General Chemistry I
- CHE 202: General Chemistry II
- PHY 201: General Physics I
- PHY 202: General Physics II
- PHY 220: Advanced Geology
- MAT 341: Computational Mathematics
- PHY 411: Electromagnetic Waves and Optics
Complete one course:
- CSC 220: CS I: Computer Problem Solving
Data Science and Statistics Core (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: Theory and Applications
- 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
- MAT 498: Capstone
Data Science and Statistics Options
Complete one course:
- STA 306: Applied Multivariate Analysis
- STA 307: Datamining & Predictive Modeling
- STA 404: Computational and Bayesian Statistics
Complete one course:
- STA 300/400 Level Option
Complete three courses:
- At least two options should be STA/MAT 300 or 400 Level courses.
- One pre approved non-MAT/STA course may be counted.
Students complete an additional 5 course units by taking courses of their choosing. Two of these must be STA courses numbered 300 or above, including one course chosen from among the approved data science options (see checklist below). Two of the remaining three courses must be STA or MAT courses numbered 300 or above. The fifth course may be an additional STA or MAT course numbered 300 or above or may be a course from the following list:
BIO 471/CSC 471, CHE 372, CSC 335, CSC 445, FIN 360, PHY 401
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.