MS in Data Science
The program of study must satisfy the following distribution and course requirements:
Core Courses (18 credit hours)
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Required (3 credit hours)
- CIS 556/IMSE 556 Database Systems
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Choose one course (3 credit hours) from:
- CIS 5570 Introduction to Big Data
- IMSE 586 Big Data Analytics and Visualization
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Choose one course (3 credit hours) from:
- ECE 537/CIS 568 Data Mining
- ECE 579 Intelligent Systems
- DS 633 Data Mining for Business Applications
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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
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Choose one course (3 credit hours) from:
- DS 570 Management Science
- IMSE 500 Models of Operational Research
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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:
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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
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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
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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
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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).