Program Overview
The Department of Mathematics and Statistics offers a professionally oriented Master’s of Science degree program in data science and statistics. The lively and versatile curriculum focuses on training that is applicable in the real world, and the program aims to prepare skillful statisticians and data scientists for professional careers in industry. The track includes an integral lab component that emphasizes the practice of contemporary data analysis and exposes students to methods, software and theory commonly used in applications of statistics.
The program requires courses specific to the area of statistics, and the student is required to finish 10 courses, including a capstone seminar course, for a total of 40 credits. An exit exam or final thesis is not required.
Degrees Offered
- MS in Data Science and Statistics
Internships, Research Opportunities and More
The MS is designed to provide students with a solid foundation of practical knowledge to work with data science and statistics in depth, for future careers in the public and private sectors as statistical scientists, consultants and engineers to manage and analyze data. The department emphasizes faculty guidance and support; there are regularly seminars such as the annual Peter Hilton Memorial Lecture, where distinguished mathematicians and scholars are invited to discuss their research.
After You Graduate
Due to retirements, the McKinsey Global Institute projected in a recent study that by 2018 the United States will need 140,000 to 190,000 professional statisticians. The New York State Department of Labor also estimates optimistic employment opportunities for statisticians. Graduates of the program will be trained to pursue careers in a variety of fields that require data-crunching and quantitative analysis such as electrical and computer engineering, bioengineering, pharmaceutics, economics, finance, management and many more.
Admission Requirements
Funding/Scholarships
There are many funding and scholarship opportunities at Binghamton. We encourage prospective students to review available program-specific scholarships and awards, and visit the program's website for additional information. Note: Master's students are generally self-funded, although funding opportunities occasionally arise.
For more information, visit the Data Science and Statistics website.
No profile found.