Master of Science
Data Science and Analytics
NEW YORK’S PREMIER PUBLIC POLYTECHNIC
SUNY Polytechnic Institute
SUNY Polytechnic Institute, New York’s premier public polytechnic, provides an innovative and affordable higher education for students interested in science, engineering, technology, business, healthcare, and other liberal arts offerings for a well-rounded approach to experiential learning. This hands-on education is cognizant and respectful of the customary academic enterprise while fostering the fast-evolving culture of discovery in today’s knowledge-driven global economy, providing students an unmatched education targeted for success in our fast-changing world.
SUNY Poly students enjoy public school tuition with benefits that many small, private institutions boast, including small class sizes, individualized learning experiences, and a tight-knit community.
MS Data Science and Analytics
The Program
The MS Data Science and Analytics program is a hybrid program with courses offered on-campus and online dependent upon your specialization interests.
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.
Career Opportunities
In today’s data-driven world, the ability to effectively analyze and interpret data is essential for professionals in almost every industry. The MS in Data Science and Analytics program is designed to provide students with the knowledge and skills needed to succeed in this rapidly growing field. Graduates will learn the latest tools and technologies to analyze large and complex data sets, preparing them for a diverse range of career paths, such as: Data Analysts, Data Engineers, Machine Learning Engineers, Database Administrators, Applications Architects, Statisticians, and professionals in Risk Management and Market Research. Recent Bureau of Labor Statistics data suggests a much faster-than-average growth in job outlook and solid career earnings in this field. With such a high demand for data professionals and the potential for lucrative careers, studying data analytics can be a wise investment decision for your future.
Degree Requirements
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
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 3 credits Science & Engineering MST 570 Design and Analysis of Experiments.................................. 3 credits MST 680 Reliability and Quality Assurance ....................................... 3 credits Biology (offered on-campus only) BIO 505 Data Analytics Tools for Bioinformatics 3 credits Computer Science (offered on-campus only) CS 542 Machine Learning 3 credits CS 540 Artificial Intelligence 3 credits CS 541 Database Systems 3 credits CS 523 Parallel Computing 3 credits CS 524 Distributed Systems.............................................................. 3 credits CS 538 Special Topics in Algorithms ................................................ 3 credits 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 Social and Crime Analytics (offered 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 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
Admission Requirements
To be considered for admission, all applicants to the MS Data Science and Analytics program must possess a baccalaureate degree from an accredited university or college with an average of B or better (a GPA of 3.0 on a 4.0 point scale).
All applicants must also demonstrate an academic background with relevant undergraduate courses in:
• Statistics
• Matrix methods
• Basic calculus
• Introductory computer programming
Candidates not meeting these requirements may be considered on a case-bycase basis, which may include an invitation to take a bridge course to support preparedness for the curriculum.
Application for Graduate Admission and all required forms are available at sunypoly.edu/admissions/graduate
The fee to apply is $60. This fee is waived for military veterans, active-duty military, reserve and guard members, and their spouses and dependents; SUNY Poly alumni; current SUNY Poly matriculated students, as well as former EOP, and CSTEP students.
The Faculty
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.
For More Information: Graduate Admissions Office State University of New York Polytechnic Institute 100 Seymour Road Utica, NY 13502 315-792-7347 graduate@sunypoly.edu www.sunypoly.edu 4/23