4+1 Mathematics BS/Data Analytics MS
Curriculum
Undergraduate Requirements - Mathematics (BS)
MATHEMATICS MAJOR
| Code | Title | Credits |
|---|---|---|
| MAT 111 | Calculus I | 4 |
| MAT 112 | Calculus II | 4 |
| MAT 211 | Calculus III | 4 |
| MAT 219 | Linear Algebra | 4 |
| MAT 222 | Differential Equations 1 | 3 |
| or DAT 211 | Advanced Statistics with R | |
| MAT 230 | Logic, Set Theory, and Proofs | 4 |
| MAT 311 | Abstract Algebra | 4 |
| MAT 321 | Real Analysis | 4 |
| MAT 380 | Mathematics Seminar | 1 |
| MAT 381 | Mathematics Seminar | 1 |
| MAT 480 | Mathematics Seminar | 1 |
| Select one of the following: | 3 | |
| Topics in Algebra | ||
| Probability & Statistics II | ||
| Complex Analysis | ||
| CSC 111 & 111L | Introduction to Programming and Introduction to Programming Laboratory 1 | 4 |
| Choose one of the following: | 3-4 | |
| General Physics for Physical Science Majors I and General Physics for Physical Science Majors I Laboratory | ||
Any one Economics (ECO) class | ||
| Electives: Any four additional 300 or 400-level mathematics courses 3 | 12-16 | |
| Total Credits | 56-61 | |
- 1
For students enrolled in the Mathematic BS/Data Analytics 4+1 Program:
- 2
For those with concentration in another area (double majors or MAT major with a minor in another area), up to two courses may be waived from the four-elective requirement.
Graduate Requirements - Data Analytics(MS)
| Code | Title | Credits |
|---|---|---|
| Foundation Courses (can be waived at the program director's discretion) | ||
| BAN 609 | Business Analytics & Forecasting | 3 |
| CSC 511 & 511L | Introduction to Programming and Introduction to Programming Lab | 3 |
| CSC 512 & 512L | Data Structures and Algorithms and Data Structures and Algorithms Lab | 3 |
| Summer | ||
| MAT 500 | Topics in Applied Mathematics 1 | 4 |
| DAT 500 | Interactive Graphical Case Studies in Big Data | 1 |
| Elective (Domain specific) 1 | 3 | |
| Fall | ||
| DAT 511 | Data Stewardship: Preparation, Exploration and Handling of Big Data | 3 |
| CSC 610 & 610L | Database Management and Database Management Lab | 3 |
| DAT 521 | Applied Integrative Projects in Data Analytics I | 3 |
| Elective (Domain Specific) 1 | 3 | |
| Spring | ||
| DAT 512 | Statistical Approaches to Big Data | 3 |
| DAT 514 | Data Mining and Machine Learning | 3 |
| DAT 515 | Visualization and Presentation of Advanced Analytics | 3 |
| DAT 522 | Applied Integrative Projects in Data Analytics II | 3 |
| Total Credits | 41 | |
- 1
Up to 10 credits of coursework (from those noted) may be waived by the program director based on a student's preparation and experience.
Domain Courses
Students will take at least two domain courses drawn from the courses below. Students may apply to the program director to take graduate level courses drawn from other domain areas, or more advanced courses for which they have adequate preparation.
| Code | Title | Credits |
|---|---|---|
| Business and Finance Domain | ||
| Financial Accounting | ||
| Statistics for Managers with Excel | ||
| Corporate Finance | ||
| Portfolio Analysis | ||
| Financial Modeling | ||
| Investment Management | ||
| Fixed Income Securities | ||
| Derivative Securities | ||
Roadmap
Recommended Undergraduate Semester Schedule for Major Course
| Freshman | |
|---|---|
| Fall | Spring |
| MAT 111 | MAT 112 |
| PHY 223 & 223L (or ECO Course) | CSC 111 & 111L1 |
| Sophomore | |
| Fall | Spring |
| MAT 211 | MAT 219 |
| MAT 230 | DAT 2112 |
| Junior | |
| Fall | Spring |
| MAT 321 | MAT 380 |
| MAT elective | MAT elecitvie |
| MAT elective | |
| Senior | |
| Fall | Spring |
| MAT 311 | MAT 480 |
| MAT 381 | MAT restricted elective 3 |
| MAT elective | CSC 512 & 512L |
| DAT 511 or BAN 609 | |
