Virtual Info Sessions
Interested in learning more about Binghamton University's Master of Science in Data Analytics program? Join us for a virtual info session!
You'll have the chance to get all of your questions answered, as we'll discuss eligibility, expectations, curriculum and the application process.
About the program
The curriculum for Binghamton University's Master of Science in Data Analytics program combines core courses, practicums with real-world projects and electives from multiple fields of interest.
The 30-credit program, which takes about 10 months to complete, provides a robust exploration of the core fundamentals of analytics, while also allowing for the flexibility to explore applicable areas of interest.
The highly quantitative nature of the curriculum qualifies the program as a STEM degree.
The program leverages the cross-disciplinary insights of three of Binghamton University's schools:
- Harpur College of Arts and Sciences
- School of Management
- Thomas J. Watson College of Engineering and Applied Science
Rooted on foundations in mathematical sciences, management, system and computer science, the curriculum builds an understanding of the methods and techniques of data analytics and emphasizes real-world applications.
Students will be assigned a faculty academic advisor, and will be required to meet with their advisor each semester to review progress in courses, field placement and career goals.
- Save time. Our 30-credit program can be completed in about ten months.
- Save money. Get the credentials and education needed for a rewarding career at an affordable price.
- Best of the best. You’ll work with the best faculty from each of the three Binghamton schools involved in the program, knocking down the silos between fields.
- Different perspectives. Our faculty are experts in a wide range of fields, from computer science to mathematics to business to systems science to industrial engineering.
- Collaboration. You'll team up with a cohort of motivated students from a wide variety of backgrounds. Recent cohorts have included computer science, psychology, economics, finance, math, engineering, communications, and business majors.
- A commitment to data science. Binghamton University’s Transdisciplinary Area of Excellence (TAE) in Data Science provides a collaborative environment to produce innovative research, and our library offers a robust collection of resources for the data analytics program.
- Jobs. Be in demand in a rapidly-growing field. Working with our strong alumni base and career services offices, you'll position yourself for the right jobs before you leave Binghamton.
- Fellowship opportunity. U.S. citizens and permanent residents are encouraged to learn more about our highly competitive merit-based Clifford D. Clark Diversity Fellowships. Learn more at this link.
Graduates are in-demand for data analysis jobs, with nearly all recent students reporting to have received at least one full-time job offer by graduation. The average starting salary for our most recent cohort was nearly $80,000.
Our students have gone on to work for major firms and non-profits in a wide variety of fields, including healthcare, hospitality, marketing, manufacturing, financial services, insurance and accounting.
Job titles our recent graduates hold include pricing analyst, systems analyst, data scientist, marketing insights manager, career consulting analyst and corporate financial analyst.
What students are saying
Students in the MS Data Analytics program come from a wide variety of educational backgrounds, and become data-driven leaders in impactful industries and fields. Here is what they have to say about the program:
“The program is agile and evolves according to the job market when it is necessary. It’s only a year long, and is a well-designed, condensed and compact program that enables you to not pause your career or life for a long period of time. It offers two practicum courses, a chance to build up your network, and an opportunity to learn from different companies while studying. This strengthens your chances to get a job offer before graduation, and it led to me appearing on recruiter radars for data-related jobs.” - Onur Tasasiz '20, MS '21
“The wide reaching content of the program surprised me. We covered many different topics in only a year's time. I would absolutely recommend this program due to the great faculty, curriculum, and also the opportunity to work with other very smart and talented peers.” - Dylan Mitlof '20, MS '21
“I can say that I am really satisfied with the two practicum courses, which provide a great opportunity to use the acquired knowledge to work with real data in collaboration with real-world organizations. They give confidence to students to deal with real-world projects.” - Ashok Kumar Reddy Patel, MS '21
“We got to work with data from real companies and take a project from beginning to end. Understanding the entire process will greatly improve your chances of becoming successful in the data field. The projects will be a major talking point on your résumé. This program is an amazing opportunity if you want to get ahead in your career. The skills and tools learned will put you in a great position, whatever industry you decide to be in.” - Bryant Lum '20, MS '21
We listen closely to alumni and industry partners to ensure our curriculum is meeting the current and future needs of the data-driven economy. Members of our data analytics advisory board include:
- Jay Benet '74, former vice chairman & CFO, The Travelers Companies
- Shari Cleary '97, global head of 3rd party & cloud-based measurement, Google
- Alan Gorenstein, MBA '92, executive director and head of marketing analytics, asset management, J.P. Morgan
- Lisa Materazzo '90, MBA '97, group vice president of marketing, Toyota North America
- Perry Metviner '90, managing director, co-chief operating officer & chief technology officer, Davidson Kempner Capital Management LP
- Afzal Rehman, MD, PhD, UHS Heart and Vascular Institute
- Ruofei Zhang, PhD '05, director of engineering, Google