BS-MS: Data Science

Student Learning Outcomes

Students graduating from this program will:

  • develop solutions for advanced problems using appropriate skills and knowledge in data science;
  • recognize and apply state of the art techniques and tools in the data science field;
  • work effectively in teams;
  • demonstrate advanced knowledge in data science.

Admission requirements

  • 3.0 undergraduate cumulative GPA and
  • Undergraduate degree in Computer Science or Information Technology
Core Requirements
COMP-SCI 5530Principles of Data Science3
COMP-SCI 5540Principles of Big Data Management3
COMP-SCI 5565Introduction to Statistical Learning3
COMP-SCI 5567Deep Learning3
COMP-SCI 5588Data Science Capstone3
Electives:15
Cloud Computing
Big Data Analytics and Applications
Advanced Software Engineering
Knowledge Discovery and Management
Information Security and Assurance
Computer Vision
Special Topics
Directed Readings
Mathematical Methods in Data Science
Business Analytics and Statistics
Data Management and Data Mining for Business Analytics
Predictive Analytics Using R
Statistical Design Of Experiments
Time Series Analysis
Total Credits30