Beyond courses in the three Core disciplines of computer science, business, and statistics, relevant graduate courses in other potential areas of concentration, such as finance, manufacturing, healthcare, national security, engineering, fraud detection, science, smart grid management, sustainability and the like, may be added as electives. Please contact the Program Director for guidance as to what courses are available to graduate students.

RELEVANT BUSINESS GRADUATE COURSES:
(A maximum of 16 graduate credits of Robert A. Foisie School of Business coursework may count toward the M.S. in Data Science):

  • ACC 503. Financial Intelligence for Strategic Decision-Making
  • BUS 500. Business Law, Ethics and Social Responsibility
  • FIN 500. Financial Information and Management
  • FIN 501. Economics for Managers
  • MIS 500. Innovating with Information Systems
  • MIS 571. Database Applications Development
  • MIS 573. Systems Design and Development
  • MIS 576. Project Management
  • MIS 581. Information Technology Policy and Strategy
  • MIS 583. User Experience Applications
  • MIS 584. Business Intelligence
  • MKT 568. Data Mining Business Applications
  • OBC 500. Group and Interpersonal Dynamics in Complex Organizations
  • OBC 501. Interpersonal and Leadership Skills
  • OIE 500. Analyzing and Designing Operations to Create Value
  • OIE 541. Operations Risk Management
  • OIE 544. Supply Chain Analysis and Design
  • OIE 552. Modeling and Optimizing Processes
  • OIE 598. Optimization Methods for Business Analytics

RELEVANT COMPUTER SCIENCE GRADUATE COURSES:

  • CS 5007. Introduction to Programming Concepts, Data Structures and Algorithms
  • CS 5084. Introduction to Algorithms: Design and Analysis
  • CS 504. Analysis of Computations and Systems
  • CS 509. Design of Software Systems
  • CS 534. Artificial Intelligence
  • CS 539. Machine Learning
  • CS 542. Database Management Systems
  • CS 561. Advanced Topics in Database Systems
  • CS 548. Knowledge Discovery and Data Mining
  • CS 584. Algorithms: Design and Analysis
  • CS 585/DS 503. Big Data Management
  • CS 586/DS 504. Big Data Analytics
  • CS 525. Data Visualization (Special Topics in Computer Science)
  • CS 525. Mobile Computing (Special Topics in Computer Science)
  • CS 525. Topics in Computer Science (with prior approval of the Program Review Committee to determine that topic is relevant to Data Science)
  • CS 536. Programming Language Design
  • CS 545. Digital Image Processing
  • CS 546. Human-Computer Interaction
  • CS 549. Computer Vision

Note: Students cannot receive credit for both CS 5084 and CS 584.

RELEVANT MATHEMATICAL SCIENCES GRADUATE COURSES:

  • MA 543/DS 502. Statistical Methods for Data Science
  • MA 542. Regression Analysis
  • MA 554. Applied Multivariate Analysis
  • MA 552. Distribution-Free and Robust Statistical Methods
  • MA 550. Time Series Analysis
  • MA 529. Stochastic Processes
  • MA 511. Applied Statistics for Engineers and Scientists
  • MA 540. Probability and Mathematical Statistics I
  • MA 541. Probability and Mathematical Statistics II
  • MA 546. Design and Analysis of Experiments
  • MA 547. Design and Analysis of Observational and Sampling Studies
  • MA 549. Analysis of Lifetime Data
  • MA 556. Applied Bayesian Statistics

RELEVANT LEARNING SCIENCES AND TECHNOLOGY PROGRAM GRADUATE COURSES:

  • CS 566. Graphical Models For Reasoning Under Uncertainty
  • CS 565. User Modeling
  • CS 567. Empirical Methods For Human-Centered Computing
  • PSY 505. Advanced Methods and Analysis for the Learning and Social Sciences

RELEVANT BIOINFORMATICS AND COMPUTATIONAL BIOLOGY PROGRAM COURSES:

RELEVANT BIOMEDICAL ENGINEERING COURSES:

  • BME 595. Special Topics: Machine Learning for Biomedical Informatics

RELEVANT ELECTRICAL AND COMPUTER ENGINEERING DEPARTMENT COURSES:

  • ECE 502. Analysis of Probabilistic Signals And Systems
  • ECE 503. Digital Signal Processing
  • ECE 504. Analysis Of Deterministic Signals And Systems
  • ECE 578/ CS 578. Cryptography and Data Security
  • ECE 630. Advanced Topics in Signal Processing
  • ECE 673. Advanced Cryptography
  • ECE 5311. Information Theory And Coding

Other potential areas of concentration, such as finance, manufacturing, healthcare, national security, engineering, fraud detection, science, smart grid management, sustainability and the like, may be added as electives. Please contact the Program Director for guidance as to what courses are available to graduate students.