
College Station, United States
The M.S. in Analytics at Texas A&M University is a STEM-certified program delivered in a hybrid format (online and on-campus) for working professionals. The curriculum focuses on regression analysis, time series, machine learning, and data visualization. A defining feature is the year-long Capstone Project, where students solve a business problem using their own organization's data. Notable features include the program's partnership with SAS and its focus on the business application of statistical methods. The program builds technical skills in R, Python, SAS, and predictive modeling. Research participation is centered on applied analytics and enterprise data deployment. Graduates typically pursue pathways as data scientists, analytics managers, and business intelligence leads. The program is designed for students with strong quantitative backgrounds and professional experience.
Texas A&M University is a public land-grant and sea-grant research university founded in 1876 in College Station, Texas, making it the first public institution of higher education in the state. It enrolls approximately 76,000 students, one of the largest enrollments of any U.S. university, and its schools include the Mays Business School and the College of Engineering. Texas A&M is a member of the Association of American Universities and is particularly known for its engineering, agriculture, and business programs, alongside its historic Corps of Cadets military tradition.
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Check Insurance PlansBased on current data, Analytics at Texas A&M University has a total cost of ₹49,32,340 and an estimated ROI (including loan interest) of 160% over a 12-months program. Texas A&M University's median graduate package is ₹86,56,125.
Texas A&M University requires a minimum TOEFL iBT score of 100 or an IELTS score of 7.0, along with a GPA of 3.00. GRE is required and GMAT is required for this program.