To submit a proposed plan of study, use the Applied CS Program webform.
Courses - Core (26 credits) + Electives (6 credits)
Core
- CS 331 Introduction to Artificial Intelligence (4)
- CS 434 Machine Learning and Data Mining (4)
- MTH 254 Vector Calculus I (4)
- MTH 341 Linear Algebra I (3)
- PH 211 General Physics w/ Calculus (4)
- ROB 456 Intelligent Robotics (4)
- ST 314 Intro to Stats for Engineers (3)**
Electives
- CS 332 (CS 399) Intro to Applied Data Science w/ Programming
- CS 406 Projects (maximum 6 cr.)
- CS 432 (CS 499) Intro to Applied Machine Learning
- CS 435 Applied Deep Learning
- CS 475 Introduction to Parallel Programming (4)
- CS 492 Mobile Software Development
- CS 493 Cloud Application Development
- ENGR 211 Statics (3)
- ENGR 212 Dynamics (3)
- MTH 342 Linear Algebra II (4)
- MTH 351 Intro to Numerical Analysis (3)
- MTH 451 Numerical Linear Algebra (3)
- PH 212 General Physics w/ Calculus
- ROB 421 Applied Robotics (4)
- ST 421 Introduction to Mathematical Statistics I (4)
- ST 422 Introduction to Mathematical Statistics II (4)
**ST 314 must be used in Focus area. Must complete 9 credits of CS restricted electives