The graduate certificate in Data Science and Analytics is designed to serve the advanced educational needs of bachelor’s-prepared professionals who require modern skills for manipulation and organization of their industry data. The advanced certificate program consists of 12 graduate credit hours and is designed to equip graduates with essential data analytics skills and competencies to be effective and competitive in today’s data-driven work environments.
Data science and analytics (DSA) is a fast-growing area leading to excellent job opportunities in a variety of fields, including business, industry, health, government, and education. This interdisciplinary certificate offers recent college graduates and industry professionals the opportunity to build skills as data analysts, without the commitment of pursuing a Master’s degree. However, the graduate certificate program in DSA may be applied toward a master’s degree in Multidisciplinary Studies - Data Science and Analytics Track at SUNY Buffalo State.
About the Interdisciplinary Unit in Data Science and Analytics
Joaquin Carbonara (Math/Statistics)
Science and Math Complex 384
Barbara Sherman (Computer Information Systems)
Computer Information Systems Department
Technology Building 206
All students are required to have a minimum overall GPA of 2.50, the campus-wide standard. Students are required to have an undergraduate level introductory statistics course and an undergraduate level introductory programming course. Exceptions to these requirements are made on a case by case basis by the admission committee and program faculty.
Required Courses (12 credit hours)
DSA 501 Data-Oriented Computing 3
DSA 650 Data Strategy and Governance 3
MAT 646 Introduction to Statistics for Data Science 3
CIS 512 Introduction to Data Science and Analytics 3
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