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 |
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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 |
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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 | Health Informatics |
SOC 538 - Special Topics in Crime Analytics | HI 501 Health Care Informatics |
HI 509 Legal Issues in Health Care Informatics | |
HI 520 Standardized Code Sets & Medical Terminologies | |
HI 600 Quality Improvement in Health Care | |
HI 630 Clinical Decision Support Systems | |
Science & Engineering | |
MST 570 Design and Analysis of Experiments | |
MST 680 Reliability and Quality Assurance |
On Campus or Online Option |
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Mathematics |
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 |
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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.