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Curriculum and Courses

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