Mathematical Sciences (PhD, MA)

Program Overview

The graduate program in the Department of Mathematics and Statistics offers a Master’s of Arts in Mathematics and Doctor of Philosophy in Mathematical Sciences.

The department boasts a dedicated and distinguished faculty; their main areas of research are algebra, analysis, combinatorics, geometry/topology and statistics. Students are required to take coursework in at least three of these areas of concentration, and encouraged to take advantage of the diverse range of electives and specializations available. Funding options such as teaching assistantships or, in some cases, research fellowships are available. For additional funding opportunities, visit these sites: ; Office of External Scholarships, Fellowships and Awards; Scholarships, .

The Department of Mathematics and Statistics is able to waive the application fee for a limited number of qualified PhD candidates. To be considered for the waiver, (including all required materials) but do not pay the application fee. Once you upload all application documents, email Professor Laura Anderson (landersn@binghamton.edu) with a justification to support your waiver request. If you wish to be considered for funding, submit at least two weeks before the application deadline (by Jan.16 ahead of the Jan. 30 application deadline). You will be notified via email regarding your request one week in advance of the application deadline. If your request is denied, you must pay the application in order to ensure your application will be reviewed by the admissions committee.

Degrees Offered

  • PhD in Mathematical Sciences
  • MA in Mathematics

Internships, Research Opportunities and More

The MA is designed to provide students with a solid foundation of knowledge to work with mathematics in depth, either for future placement in a PhD program or professional careers in the public and private sectors. The PhD program prepares students for teaching in higher education as well as higher-level careers in government and industry. Students who have substantial graduate-level training without an MA may enter the PhD program directly.

The department is committed to developing a lively, versatile curriculum that is applicable in the real world; many students report that their courses have been an essential foundation in their professional lives. The program also emphasizes faculty guidance and support; the department runs in all areas of research, and both faculty and graduate students are welcome to present. The department also runs annual or biannual events for the broader mathematical community, including:

After You Graduate

Our graduates have secured tenure-track and tenured faculty positions at various institutions, from small colleges to research universities in the U.S. and abroad. Alumni also pursue careers in the public and private sectors as statisticians, data analysts, consultants, researchers and programmers.

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

    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. PhD students who are registered and/or certified full-time will receive a scholarship that covers the cost of broad-based fees (this does not include international student fees). Note: Master's students are generally self-funded, although funding opportunities occasionally arise.

    For more information, visit the Mathematical Sciences website.