Minor in Data Science

The Data Science minor 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 List
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 departments)  
Computer Science  
COMP3750 INTRODUCTION TO BIOSTATISTICS 4
COMP4050 MACHINE LEARNING 4
COMP4700 ARTIFICIAL INTELLIGENCE 4
COMP4750 EMBEDDED ARTIFICIAL INTELLIGENCE 4
Applied Mathematics  
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
Management  
MGMT1500 DECISION ANALYSIS FOR BUSINESS 4
MGMT2000 MANAGEMENT INFORMATION SYSTEMS 4
MGMT2500 SYSTEMS ANALYSIS & DESIGN 3
Total Credits 20