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