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:
Please note: 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         MIS 583 User Experience Applications

BUS 500 Business Law, Ethics and Social Responsibility                 MIS 584 Business Intelligence                              

FIN 500 Financial Information and Management                                MKT 568 Data Mining Business Applications

FIN 501 Economics for Managers                                                       OBC 500 Group and Interpersonal Dynamics in Complex Organizations

MIS 500 Innovating with Information Systems                                    OIE 500 Analyzing and Designing Operations to Create Value

MIS 571 Database Applications Development                                     OIE 541 Operations Risk Management

MIS 573 Systems Design and Development                                        OIE 544 Supply Chain Analysis and Design

MIS 576 Project Management                                                               OIE 552 Modeling and Optimizing Processes

MIS 581 Information Technology Policy and Strategy                           OIE 598 Optimization Methods for Business Analytics

 

RELEVANT COMPUTER SCIENCE GRADUATE COURSES: Note: Students may not receive credit for both CS 5084 and CS 584

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 541 Deep Learning

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) 

CS 536. Programming Language Design                                                   CS 545. Digital Image Processing

CS 546. Human-Computer Interaction                                                        CS 549. Computer Vision


RELEVANT MATHEMATICAL SCIENCES GRADUATE COURSES:

MA 511. Applied Statistics for Engineers and Scientists                        MA 529. Stochastic Processes

 MA 540. Probability and Mathematical Statistics I                                MA 541. Probability and Mathematical Statistics II 

 MA 542. Regression Analysis                                                               MA 543/DS 502. Statistical Methods for Data Science

MA 542. Regression Analysis                                                                 MA 546. Design and Analysis of Experiments

MA 547. Design and Analysis of Observational and Sampling Studies  MA 547. Design and Analysis of Observational and Sampling Studies

MA 549. Analysis of Lifetime Data                                                          MA 550. Time Series Analysis

MA 552. Distribution-Free and Robust Statistical Methods                    MA 554. Applied Multivariate Analysis

         MA 556. Applied Bayesian Statistics
 

RELEVANT LEARNING SCIENCES AND TECHNOLOGY PROGRAM GRADUATE COURSES:

CS 565. User Modeling                                                                     

CS 566. Graphical Models For Reasoning Under Uncertainty

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:

BCB 501. Bioinformatics

BCB 502/CS 582. Biovisualization

BCB 503/CS 583. Biological and Biomedical Database Mining

BCB 504/MA 584. Statistical Methods in Genetics and Bioinformatics
 

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, and engineering, 

fraud detection, science, smart grid management, and sustainability may be added as electives.

Please contact the Program Director for guidance as to what courses are available to graduate students.