Data Science and Analytics - Master of Science
Data science and analytics (DSA) is a fast-growing discipline leading to excellent job opportunities in a variety of fields, including business, industry, health, government, and education. Students who enroll in the Data Science and Analytics master's program will be guided to create their best degree curriculum based on their own career aspirations.
The curriculum includes courses covering big data, statistics, machine learning, database management, data visualization, programming, and business intelligence. All students will have applied and experiential learning opportunities, be involved in research, and be required to complete an internship.
The degree program is interdisciplinary in nature. Students will have the benefit of studying from experts in the respective fields in a coordinated curriculum. The DSA curriculum will be combined with business and communication courses allowing graduates to become leaders in their profession.
Master's Degree Programs
Buffalo State offers two master’s degree options in Data Science and Analytics designed for working professionals and full-time students alike. Both programs share the same core requirements and provide a strong foundation in data management, analytics, and communication.
Program Options
- Data Science and Analytics, M.S. (DSA-MS)
A federally recognized STEM program that allows F-1 visa holders to apply for a 24-month Optional Practical Training (OPT) extension beyond the standard 12-month period. - Multidisciplinary Studies, M.S. – Data Science and Analytics Track
Offers greater flexibility with a wider selection of elective courses. This track is not designated as a STEM-OPT program but provides a broader, customizable academic experience.
Program Format
Courses are offered in person and scheduled during the evening, providing the flexibility students need to balance academic goals with professional or personal responsibilities. This format makes it possible for full-time employees to advance their education without interrupting their careers. Small class sizes encourage collaboration, discussion, and hands-on learning, while access to faculty experts and campus resources ensures a supportive learning environment throughout the program.
Program Length
Each master’s program consists of 10 courses (30 total credits). Full-time students typically complete the degree in 15 months—three semesters plus one summer session. Students taking classes part-time may progress at their own pace, allowing for greater flexibility based on work or personal schedules. The accelerated timeline and evening course structure make it possible to earn an advanced degree efficiently while gaining immediately applicable skills in data science and analytics.
PROGRAMS AND PATHWAYS
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