Data Science
The Data Science Track involves taking a minimum of 30 degree credits (600 or 700 level):
- 6-credit thesis or a 3-credit research project
- 9 credits of required (core) courses
- 3 credits of mathematical physics or applied mathematics
- 6 credits of required Data Science courses
- the remaining credits are to be filled with elective courses
Choose 3 among the following Physics core courses
| Class number | Class name | # of credits |
| 26:755:511 | Advanced Classical Mechanics | 3 |
| 26:755:521 | Classical Electrodynamics | 3 |
| 26:755:532 | Quantum Mechanics | 3 |
| 26:755:541 | Statistical Mechanics | 3 |
Choose 2 among Data Science courses
| Class number | Class name | # of credits |
| 26:645:611 | Special Topics: Introduction to Statistical Models in Science and Engineering | 3 |
| 26:645:651 | Introduction to Data Science | 3 |
| 26:645:652 | Statistics and Machine Learning | 3 |
Available Electives
| Class number | Class name | # of credits |
| 26:755:610 | Special Topics in Experimental Physics (topics vary) | 3 |
| 26:755:611 | Special Topics in Theoretical Physics (topics vary) | 3 |
| 26:755:632 | Quantum Mechanics II | 3 |
| 26:755:680 | Quantum Mechanics III | 3 |
| 26:755:621 | Classical Electrodynamics II | 3 |
| NJIT | NJIT offers several electives such as Biophysics, Physics of Materials, and several others | |
| New Brunswick | Rutgers New-Brunswick offers several electives in Physics, Engineering, Data Science, and others | |
| Business School | Rutgers Business School offers several electives in Data Science, Machine Learning, and Quantitative Finance |