Data Science Minor

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 Title Credits
Prerequisite courses
COMP1000COMPUTER SCIENCE I4
or ELEC3150 OBJECT ORIENTED PROGRAMMING FOR ENGINEERS
MATH1030STATISTICS & APPLICATIONS4
or MATH2100 PROBABILITY & STATISTICS FOR ENGINEERS
Core Courses8
COMP3125DATA SCIENCE FUNDAMENTALS4
MATH2860LINEAR ALGEBRA & MATRIX THEORY4
Elective Courses12
Select 3 from the following electives (Required to choose electives from 3 different departments)
Computer Science
COMP3750INTRODUCTION TO BIOSTATISTICS4
COMP4050MACHINE LEARNING4
COMP4700ARTIFICIAL INTELLIGENCE4
COMP4750EMBEDDED ARTIFICIAL INTELLIGENCE4
Applied Mathematics
MATH2200ADVANCED STATISTICS4
MATH2250TIME SERIES4
MATH3700OPERATIONS RESEARCH4
MATH4050MACHINE LEARNING4
Applied Science
SCIN2500SCIENTIFIC COMPUTING4
Humanities & Social Sciences
COMM4305WEB ANALYTICS & MEDIA RESEARCH4
Management
MGMT1500DECISION ANALYSIS FOR BUSINESS4
MGMT2000MANAGEMENT INFORMATION SYSTEMS4
MGMT2500SYSTEMS ANALYSIS & DESIGN3
Total Credits20