DATA SCIENCE & ANALYTICS MS program
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 this STEM-based DSA program will be guided to apply the degree curriculum towards their own career aspirations.
This curriculum includes courses covering the data science cycle of analysis using math, statistics, machine learning, database management, data visualization, programming, and business intelligence. All students will have applied and experiential learning opportunities 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.
WHO SHOULD APPLY
The M.S. in DSA is designed for individuals with quantitative talent, scientific background, and an entrepreneurial mindset wanting to join the data revolution that is changing all aspects of modern life. The data being collected every- where in our lives has been hailed as the “oil” of the new century. The need to understand such data has generated an unprecedented demand for skilled data analysts.
A bachelor's degree from an accredited college or university with a minimum cumulative GPA of 2.5 (4.0 scale).
A two- to three-page statement of intent essay that includes educational and professional objectives and reasons for interest in a nontraditional study format.
An interview with DSA faculty.
In addition, all applicants should review the Admission to a Graduate Program section in the Graduate Catalog (catalog. buffalostate.edu/graduate).
Students in this curriculum engage immediately in advanced courses in math and computer science. Certain background knowledge is necessary for success in the curriculum. It is recommended that applicants should have completed introductory-level undergraduate or equivalent coursework in computer programing, calculus, and basic statistics. If needed, the preparatory courses are available by advisement.
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