Students need to complete 30 credits to complete the degree, by taking the following set of courses.
Four required courses (12 credits)
Two elective courses from Elective I (6 credits)
Two elective courses from Elective II (6 credits)
One of two capstone options (6 credits)

The program is designed to be completed within two years.

Required Core Courses (12 Credits):

• CSc 74020 Machine Learning: 3 credits
• CSc 83060 Data Visualization: 3 credits
• CSc 84030 Big Data Analytics: 3 credits
• CSc 84040 Data Mining: 3 credits

Capstone Project (6 credits)

A 6-credit capstone project—either the master’s research project option (Option 1), the internship option for professional experience (Option 2), guided research and implementation of projects in project-oriented courses.

Option 1:

• CSc 86180 Capstone Project I in Data Science: 3 credits
• CSc 86190 Capstone Project II in Data Science: 3 credits

Option 2:

• CSc 86210 Capstone Internship in Data Science: 6 credits

Elective Courses (12 credits): Choose two courses in each elective area

Elective I: Analytics Courses (Choose 6 credits)

• CSc 72030 Database Management Systems: 3
• CSc 74040 Natural Language Processing: 3
• CSc 74010 Artificial Intelligence: 3
• CSc 86120 Modeling and Simulation: 3
• CSc 85040 Algorithms for Big Data: 3
• CSc 80060 Advanced Data Structures: 3
• CSc 80040 Combinatorial Algorithms: 3
• CSc 84050 Graphical Models: 3
• CSc 86130 Stochastic Optimization: 3
• CSc 86110 Pattern Matching: 3
• CSc 86140 Graph and Social Network Analysis: 3
• CSc XXXXX Statistical inference

Elective II: Applications Courses (Choose 6 credits)

• CSc 82040 Social and Cultural Computing: 3
• CSc 74030 Computer Vision and Image Processing: 3
• CSc 83040 Text Mining: 3
• CSc 76010 Parallel Scientific Computing: 3
• CSc 86010 Massively Parallel Systems (GPUs)
• CSc 86150 Quickest Detection of Abrupt Changes: 3
• CSc 84060 3D Photography: 3
• CSc 84100 Speech and Audio Understanding: 3
• CSc 84090 Vision, Brain and Assistive Technologies: 3
• CSc 86080 Big Spatial Data: 3
• CSc 86090 Big Data Management and Analysis: 3
• CSc 84080 Information Retrieval: 3

Total for M.S. in Data Science: 30 credits