Curriculum Requirements

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
(map)
Phone: 
313-436-9145
Fax: 
313-593-4256
umd-cis-office@umich.edu
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