
MAJOR FINDER
Filter by College
Filter by Subject
Mathematics and Data Science

Analyze, Model, and Interpret
Data scientists are experts at analyzing, modeling, and interpreting complex data. This interdisciplinary program provides fundamental training in mathematics, data science, computer science, and statistics to start a career in the field. Data scientists are in high-demand, have excellent starting salaries, and can work in a variety of areas.
RELATED MAJORS
AREAS OF STUDY
- Computational Mathematics
- Data Science
- Differential Equations
- Linear Algebra
- Mathematical Modeling
- Optimization
- Probability and Statistics
CAREER OPTIONS
- Actuary
- Data Scientist
- Financial Analyst
- Operations Research Analyst
- Quantitative Analyst
- Software Engineer
- Statistician
GRADUATE PROGRAMS
- Actuarial Science
- Computer Science
- Data Science
- Mathematics / Applied Mathematics
- MBA
- Operations Research
- Statistics
What’s special about this program?
Data scientists are valuable assets in any discipline and able to apply current technological tools to assimilate data, perform analysis, and express results. Students will communicate results to quantitative specialists and wider audiences and demonstrate an ability to apply mathematics to real world situations.
Get Involved
Undergraduate Research
Honors Program
Math Club
Putnam Competition
Mathematical Contest in Modeling
Sample curriculum
FALL
MATH210
|
Discrete Mathematics I |
MATH241
|
Analytic Geometry and Calculus A |
CISC106
|
General Computer Science for Engineers |
UNIV101
|
First Year Experience |
University Breadth Requirement
|
SPRING
MATH219
|
Data Science I |
MATH242
|
Analytic Geometry and Calculus B |
MATH315
|
Discrete Mathematics II |
CISC210
|
Introduction to Systems Programming |
ENGL110
|
First-Year Writing |
FALL
MATH243
|
Analytic Geometry and Calculus C |
MATH349
|
Elementary Linear Algebra |
CISC220
|
Data Structures |
Lab Science Requirement
|
|
University Breadth Requirement
|
SPRING
MATH350
|
Probability Theory and Simulation Methods |
CISC320
|
Introduction to Algorithms |
Ethics Requirement (may count as Group A)
|
|
Lab Science Requirement
|
|
University Breadth Requirement
|
FALL
MATH426
|
Computational Mathematics I |
MATH450
|
Mathematical Statistics |
MATH/CISC/STAT Requirement
|
|
Multicultural Requirement
|
|
University Breadth Requirement |
SPRING
MATH428
|
Computational Mathematics II |
CISC437
|
Database Systems |
Free Elective
|
|
Free Elective
|
|
University Breadth Requirement
|
FALL
MATH419
|
Data Science II |
MATH529
|
Fundamentals of Optimization |
MATH/CISC/STAT Requirement
|
|
Discover Learning Experience Requirement (DLE)
|
|
University Breadth Requirement
|
SPRING
MATH/CISC/STAT Requirement | |
Free Elective | |
Free Elective | |
Free Elective | |
Free Elective |