The Data science, BS program provides a comprehensive course of study in the mathematical theory and algorithms used to explore, understand, and analyze large sets of data. The program aims to equip students with the experience and knowledge needed to understand and implement current machine learning and artificial intelligence algorithms, as well as to provide a foundation for being able to learn novel techniques as they arise. The program is interdisciplinary; being supported by both the Department of Mathematics and the Department of Computer Science.
| Code and Title | Hours |
| MATH 125 or | Calculus I | 4 |
| MATH 145 | Honors Calculus I |
| MATH 126 or | Calculus II | 4 |
| MATH 146 | Honors Calculus II |
| MATH 227 or | Calculus III | 4 |
| MATH 247 | Honors Calculus III |
| MATH 237 | Introduction to Linear Algebra | 3 |
| MATH 301 | Discrete Mathematics | 3 |
| CS 100 or | CS I for Majors | 4 |
| CS 110 | Honors CS I for Majors |
| CS 101 or | CS II for Majors | 4 |
| CS 111 | Honors CSII for Majors |
| CS 201 | Data Structures and Algorithms | 4 |
| 30 |
| MATH 355 | Theory Of Probability | 3 |
| MATH 359 | Math Data Science | 3 |
| MATH 451 | Math Stats W/Applictn I | 3 |
| CS 301 | Database Management Systems | 3 |
| CS 451 | Data Science | 3 |
| CS 470 | Computer Algorithms | 3 |
| MATH 493 | Capstone in Data Science | 3 |
| 21 |
| Numerical Linear Algebra | |
| Non-Linear Optimization Theory | |
| Math Stats W/Applictn II | |
| Stochastic Processes I | |
| Social Media Data Analytics | |
| Reinforcement Learning | |
| 6 |
| Legal & Ethical Issues in Comp | |
| Cyber Law and Ethics | |
| 3 |
| Artificial Intelligence | |
| Information Retrieval | |
| Comp Foundations of ML | |
| Machine Learning | |
| 3 |
| Total Hours | 63 |
The Data Science major requires the completion of a minor or a second major.
Related courses that are not listed may be included with departmental permission. In particular, those with double majors in computer science may substitute MATH 311 Intro Scientific Computing in place of CS 301 Database Management Systems to complete the Data Science major, since CS 301 is required for the computer science program.
Grade Point Average
A 2.0 grade point average in the major is required for completion of the degree. Please see the Grades and Grade Points section of this catalog for an explanation on grade point average calculations.
Upper-level Residency
A minimum of 12 hours of 300- or 400-level courses in the major must be earned on this campus.
Required Minor
The mathematics major requires the completion of a minor or a second major.
Additional Major Requirements
Students are responsible for ensuring that they have met all University, College, major and minor requirements. These include the general education requirements, the major requirements, all requirements for an approved minor, and have sufficient credits to total a minimum of 120 applicable semester hours. Moreover, each student should meet with an adviser in the mathematics department for academic planning and to be approved for registration each semester. College advisers are also available for additional assistance with minor, College and University requirements.
Data Science graduates will be well prepared to for positions in
- Actuarial science
- Data Analyst
- Data Architect/Engineer
- Data Scientist
- Finance
- Machine learning engineer
- Market Research
- Operations Research Analyst
- Risk Management
or for any other positions which analyzes large quantities of data using computers and computational statistics.
In addition, the program will have internship, undergraduate research, and entrepreneurial opportunities for current students.
Learn more about opportunities in this field at the Career Center
