MS in Data Science

The program of study must satisfy the following distribution and course requirements: 

Core Courses (18 credit hours)

  • Required (3 credit hours)
    • CIS 556/IMSE 556 Database Systems
  • Choose one course (3 credit hours) from:
    • CIS 5570 Introduction to Big Data
    • IMSE 586 Big Data Analytics and Visualization
  • Choose one course (3 credit hours) from:
    • ECE 537/CIS 568 Data Mining
    • ECE 579 Intelligent Systems
    • DS 633 Data Mining for Business Applications
  • Choose one course (3 credit hours) from:
    • IMSE 514 Multivariate Statistics
    • STAT 530 Applied Regression Analysis
    • STAT 535 Data Analysis and Modeling
    • STAT 555 Environmental Statistics
    • STAT 560 Time Series Analysis 
  • Choose one course (3 credit hours) from:
    • DS 570 Management Science
    • IMSE 500 Models of Operational Research
  • Choose one course (3 credit hours) from:
    • CIS 545 Data Security and Privacy
    • ECE 527 Multimedia Security & Forensics
    • HHS 570 Information Science and Ethics

Concentration Courses (9 credit hours)

Note that the concentrations are offered for guidance only. Students may select a concentration or select three courses from any of the concentrations for a broader approach to the degree. 

One of the following concentrations is recommended:

  • Computational Intelligence

    Choose three courses from: 

    • CIS 5700 Advanced Data Mining
    • CIS 579 Artificial Intelligence
    • CIS 585 Advanced AI
    • ECE 537/CIS 568 Data Mining
    • ECE 552 Fuzzy Systems
    • ECE 579 Intelligent Systems
    • ECE 5831 Pattern Recognition & Neural Networks
    • ECE 679 Advanced Intelligent Systems
    • IMSE 500 Models of Operation Research
    • IMSE 505 Optimization
    • IMSE 514 Multivariate Statistics
    • IMSE 5205 Engineering Risk-Benefit Analysis
    • IMSE 559 System Simulation
    • IMSE 586 Big Data Analytics & Visualization
    • IMSE 605 Advanced Optimization
    • MATH 520 or ECE 555 Stochastic Processes
    • MATH 562 Mathematical Modeling
    • MATH 573 Matrix Computations
    • STAT 530 Applied Regression Analysis
    • STAT 535 Data Analysis and Modeling
    • STAT 545 Reliability & Survival Analysis
    • STAT 555 Environmental Statistics
    • STAT 560 Times Series Analysis
  • Applications

    Choose three courses from: 

    • ESCI 585 Spatial Analysis & GIS
    • FIN 531 Finance Fundamentals & Value Creation
    • HIT 520 Clinical & Evidence Based Medicine
    • IMSE 516 Project Management & Control
    • IMSE 561 Total Quality Management & Six Sigma
    • IMSE 5655 Supply Chain Management
    • IMSE 567 Reliability Analysis
    • IMSE 580 Production and Operations Engineering
    • IMSE 586 Big Data Analytics & Visualization
    • MKT 515 Marketing Management
    • OM 521 Operations Management
    • OM 571 Supply Chain Management
    • STAT 545 Reliability & Survival Analysis
    • STAT 560 Times Series Analysis
  • Business Analytics

    Choose two courses from: 

    • DS 630 Applied Forecasting
    • DS 631 Decision Analysis
    • DS 632 System Simulation

    Choose one course from: 

    • FIN 531 Financial Fundamentals & Value Creation
    • MIS 525 Computer & Information Systems
    • MKT 515 Marketing Management
    • OM 521 Operations Management
  • Big Data Informatics

    Choose three courses from: 

    • CIS 534 Semantic Web
    • CIS 536 Information Retrieval
    • CIS 545 Data Security & Privacy
    • CIS 548 Security & Privacy in Cloud Computing
    • CIS 552 Information Visualization & Multimedia Gaming
    • CIS 554 Information Systems Analysis & Design
    • CIS 559 Principles of Social Network Science
    • CIS 560 Electronic Commerce
    • CIS 562 Web Information Management
    • CIS 5700 Advanced Data Mining
    • CIS 5570 Introduction to Big Data
    • CIS 571 Web Services
    • CIS 577/IMSE 577 User Interface Design & Analysis
    • CIS 586 Advanced Data Management
    • ECE 524 Interactive Media
    • ECE 525 Multimedia Data Storage & Retrieval
    • ECE 5251 Multimedia Design Tools I
    • ECE 5252 Multimedia Design Tools II
    • ECE 527 Multimedia Security & Forensics
    • ECE 528 Cloud Computing
    • ECE 576 Information Engineering
    • ESCI 585 Spatial Analysis & GIS
    • IMSE 570 Enterprise Information Systems
    • IMSE 586 Big Data Analytics & Visualization
    • OM 665 Information in Supply Chain Management

Capstone Course (3 credit hours)

In consultation with a faculty advisor, the student should choose between a capstone course (recommended) or one additional course from his/her concentration. Acceptable capstone courses are:

  • CIS 695 Master's Project
  • DS 635 Analytics Experience Capstone
  • ECE 695 Master's Project
  • EMGT 590 Capstone Project

Note that no more than a total of 15 credit hours may be taken in the College of Business for this degree (core, concentrations, and capstone). 

Computer and Information Science

105
CIS Building
Phone: 
313-436-9145
Fax: 
313-593-4256
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