Graduate programs

More than 60 students are enrolled in our graduate programs.

We offer:

MA in Statistics

The MA in Statistics program is tailored toward data science, statistics and computational sciences. It emphasizes real-world applications, preparing skilled statisticians and data scientists for professional careers in industry. The curriculum includes a lab component focusing on contemporary data analysis practices, exposing students to relevant methods, software and theory.

MA in Mathematics and PhD in Mathematical Sciences

Both the MA in Mathematics and PhD in Mathematical Sciences programs encourage a broad understanding of various mathematical subjects. These programs include coursework in both mathematics and statistics, allowing students to explore a wider range of topics than typically offered in departments dedicated to either mathematics or statistics. Funding through teaching or research assistantships is available.

Faculty and Class Sizes

Our department has a dedicated and distinguished faculty with research expertise in areas such as algebra, number theory, analysis, combinatorics, dynamical systems, geometry/topology, applied and computational mathematics, probability, and statistics. We maintain small class sizes (typically five to 20 students), facilitating active interaction in the classroom and personalized advising.

Graduate Student Activities

Our graduate students are actively engaged beyond their coursework and research. They participate in seven regular seminar series and organize the annual Binghamton University Graduate Combinatorics, Algebra, and Topology (BUGCAT) conference, which has been running since 2008.

Alumni Success

Our graduates have gone on to successful careers in both industry and academia. Here are some examples of where our alumni are now:

Industry

  • AbbVie - Senior Statistician
  • Amazon.com, Inc. – Data Scientist
  • Celgene - Biostatistician
  • Corning Inc. – Statistician
  • Google - Software Engineer
  • JP Morgan Chase - Risk Pricing Analyst
  • Tiktok - Machine Learning Engineer
  • Wells Fargo Bank – Quantitative Associate

Academia

  • Indiana University, Indianapolis
  • Miami University (Ohio)
  • King's College
  • Texas Tech University
  • University of Alabama
  • University of San Diego
  • University of Science and Technology of China
  • University of Utah
  • Utica College