Data Science and Analytics - Degree Requirements

Our program has an interdisciplinary nature, consisting of six required core courses, four elective courses chosen across specialized offerings from several academic departments, and a capstone experience (internship, project, or thesis). Students may choose to select four courses that fall within one specialization, or pick and choose courses across different specializations.  Elective courses will be selected with the assistance of an academic advisor. 

Core Required Courses: 18 credits 

On Campus or Online Option
DSA 501 - Statistical Inference         
DSA 503 - Data Collection and Design
DSA 504 - Data Analytics Tools  
DSA 506 - Visual Analytics and Communication  
DSA 507 - Introduction to Machine Learning  
DSA 508 - Big Data Platforms and Analytics  

All 6 DSA courses are required – 3 credits each.

Elective Specialty Courses: 12 credits (choose 4 courses)

Students can choose all 4 courses in one specialized area of interest, or pick and choose courses from different disciplines. Each specialty course is 3 credits.

On Campus Only

Online Only
Courses are asynchronous

Biology Business Analytics
BIO 505 - Data Analytics Tools for Bioinformatics ACC 540 - Intro to Forensic Accounting/ Fraud Detection 
  ACC 641 - Accounting Info Systems and Data Analytics
Computer Science BLW 570 - Business Law, Ethics, Intellectual Property
CS 542 - Machine Learning FIN 532 - Investment Strategy
CS 540 - Artificial Intelligence TIM 500 - Project Management
CS 541 - Database Systems  
CS 523 - Parallel Computing Design and Digital Humanities 
CS 524 - Distributed Systems IDT 548 - Contemporary Trends in Data Visualization  
CS 538 - Special Topics in Algorithms  IDT 554 - Advanced Web Development and Design
  IDT 503 - User Experience Design
Social and Crime Analytics IDT 534 - Information Design
SOC 520 -  Criminology COM 548 - Special Topics in Visual Analytics and Communication
SOC 521 - Crime and Social Policy IDT 555 - Ethical and Legal Issues of the Information Age
SOC 531 - Social Network Analysis  
SOC 533 - Crime Mapping and GIS  
SOC 538 - Special Topics in Crime Analytics  
On Campus or Online Option
STA 510 - Regression and Analysis of Variance
MAT 550 - Time Series Analysis
MAT 515 - Mathematical Methods in Computational Science & Engineering
MST 570 - Design and Analysis of Experiments 
MST 680 - Reliability and Quality Assurance

Final Required Capstone: 3 credits

On Campus or Online Option
Choose one. Courses are 3 credits each.
DSA 597 - Internship
DSA 598 - Project
DSA 599 - Thesis

To graduate from MS DSA, a student must achieve an average GPA of 3.0 or above for all courses counted toward the degree.

Program Total:  33 credits


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