MS Data Science and Analytics
- Utica, USA
- Albany, USA
MSc
DURATION
4 semesters
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
Mar 2026
STUDY FORMAT
Blended
Key Summary
The Master of Science program in Data Science and Analytics (MS DSA) prepares students to be productive contributors in many professions dealing with complex data, in particular those that relate to the ethical collection, exploration and preparation of multi-modal data, the design of analytics models to extract knowledge from data, and the effective communication of data analysis results to decision-making constituencies.
MS DSA requires the acquisition of fundamental knowledge and skills through six compulsory courses in statistical analysis and design of experiments, script language programming, visual communication, machine learning, and distributed data processing. Four elective courses must also be completed within a single area of specialization (e.g. computer science, mathematics, sociology, etc.) or across more than one area with advisor approval. The program culminates with an internship in an industrial organization, a practical project, or a more research-oriented thesis.
MS DSA draws upon SUNY Polytechnic Institute’s outstanding academic talent in computer science, mathematics, social and behavioral sciences, biology, communications, business management, nanoscale engineering, nanoscale science, and health sciences and nursing. MS DSA students have the opportunity to interact and work with faculty of diverse research and teaching interests.
This MS DSA program has an interdisciplinary nature, consisting of six required core courses, a capstone experience (internship, project, or thesis), and four elective courses chosen across specialization offerings from several academic departments of SUNY Polytechnic Institute. 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 Electives: 18 credits
(offered online or on-campus)
- DSA 501 Statistical Inference: 3 credits
- DSA 503 Data Collection and Design: 3 credits
- DSA 504 Data Analytics Tools: 3 credits
- DSA 506 Visual Analytics and Communication: 3 credits
- DSA 507 Introduction to Machine Learning: 3 credits
- DSA 508 Big Data Platforms and Analytics: 3 credits
Required Capstone: 3 Credits (choose one)
(offered online or on-campus)
- DSA 597 Internship: 3 credits
- DSA 598 Project: 3 credits
- DSA 599 Thesis: 3 credits
Elective Courses: 12 credits (choose 4)
Mathematics
(offered online or on-campus)
- STA 510 Regression and Analysis of Variance: 3 credits
- MAT 550 Time Series Analysis: 3 credits
- MAT 515 Mathematical Methods in Computational Science & Engineering: 3 credits
- MST 570 Design and Analysis of Experiments: 3 credits
- MST 680 Reliability and Quality Assurance: 3 credits
Biology
(offered on-campus)
- BIO 505 Data Analytics Tools for Bioinformatics: 3 credits
Computer Science
(on-campus courses)
- CS 542 Machine Learning: 3 credit
- CS 540 Artificial Intelligence: 3 credit
- CS 541 Database Systems: 3 credit
- CS 523 Parallel Computing: 3 credit
- CS 524 Distributed Systems: 3 credit
- CS 538 Special Topics in Algorithms: 3 credit
Design and Digital Humanities
(offered online only)
- IDT 548 Contemporary Trends in Data Visualization: 3 credits
- IDT 554 Advanced Web Development and Design: 3 credits
- IDT 503 User Experience Design: 3 credits
- IDT 534 Information Design: 3 credits
- COM 548 Special Topics in Visual Analytics & Communication: 3 credits
- IDT 555 Ethical and Legal Issues of the Information Age: 3 credits
Crime Analytics
(on-campus only)
- SOC 520 Criminology: 3 credits
- SOC 521 Crime and Social Policy: 3 credits
- SOC 531 Social Network Analysis: 3 credits
- SOC 533 Crime Mapping and GIS: 3 credits
- SOC 538 Special Topics in Crime Analytics: 3 credits
Health Informatics
(offered online only)
- HI 501 Health Care Informatics: 3 credits
- HI 509 Legal Issues in Health Care Informatics: 3 credits
- HI 520 Standardized Code Sets & Medical Terminologies: 3 credits
- HI 600 Quality Improvement in Health Care: 3 credits
- HI 630 Clinical Decision Support Systems: 3 credits
Business Analytics
(offered online only)
- ACC 540 Intro to Forensic Accounting/Fraud Detection: 3 credits
- ACC 641 Accounting Info Systems and Data Analytics: 3 credits
- BLW 570 Business Law, Ethics, Intellectual Property: 3 credits
- FIN 532 Investment Strategy: 3 credits
- TIM 500 Project Management: 3 credits
To graduate from MS DSA, a student must achieve an average GPA of 3.0 or above for all courses counted toward the degree.
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