Data Science Minor
The Data Science minor (MDSC) provides students with the necessary analytical skills to gather and analyze (big) data and introduces principal components of machine learning to infer from processed data and share results in a meaningful way.
To earn the Data Science minor, students must successfully complete 20 credits (5 courses, 4 credits each). To enroll in the minor, students must successfully complete each of the two prerequisite courses.
| Course | Title | Credits |
|---|---|---|
| Prerequisite courses | ||
| COMP1000 | COMPUTER SCIENCE I | 4 |
| or ELEC3150 | OBJECT ORIENTED PROGRAMMING FOR ENGINEERS | |
| MATH1030 | STATISTICS & APPLICATIONS | 4 |
| or MATH2100 | PROBABILITY & STATISTICS FOR ENGINEERS | |
| Core Courses | 8 | |
| COMP3125 | DATA SCIENCE FUNDAMENTALS | 4 |
| MATH2860 | LINEAR ALGEBRA & MATRIX THEORY | 4 |
| Elective Courses | 12 | |
| Select 3 from the following electives (Required to choose electives from 3 different Academic Units s) | ||
| Computer Science | ||
| COMP3750 | INTRODUCTION TO BIOSTATISTICS | 4 |
| COMP4050 | MACHINE LEARNING | 4 |
| COMP4700 | ARTIFICIAL INTELLIGENCE | 4 |
| COMP4750 | EMBEDDED ARTIFICIAL INTELLIGENCE | 4 |
| Applied Mathematics | ||
| MATH1550 | FOUNDATIONS OF APPLIED MATHEMATICS | 4 |
| MATH2200 | ADVANCED STATISTICS | 4 |
| MATH2250 | TIME SERIES | 4 |
| MATH3700 | OPERATIONS RESEARCH | 4 |
| MATH4050 | MACHINE LEARNING | 4 |
| Applied Science | ||
| SCIN2500 | SCIENTIFIC COMPUTING | 4 |
| Humanities & Social Sciences | ||
| COMM4305 | WEB ANALYTICS & MEDIA RESEARCH | 4 |
| COMM4335 | SEE IT AND SAY IT WITH DATA VIZ | 4 |
| PHIL4525 | VIRTUAL ETHICS | 4 |
| Management | ||
| MGMT1500 | DECISION ANALYSIS FOR BUSINESS | 4 |
| MGMT2000 | MANAGEMENT INFORMATION SYSTEMS | 4 |
| MGMT2500 | SYSTEMS ANALYSIS & DESIGN | 3 |
| Total Credits | 20 | |