Skip to main content
Skip to desktop navigation to bypass mobile navigation
Skip to main navigation to bypass utlility navigation
.

                                                      Health Alert: COVID-19 - Please refer to our latest updates here.  Classes are being conducted remotely as of March 16th.

Mathematics

 

Every company needs employees with expert mathematical skills to inform business decisions. The master's in Mathematics at the YU Katz School focuses on developing your skills in modeling, algorithms, and numerical applications to help you succeed in a variety of industries. In our program, you will use predictive scientific simulations to solve real-world problems.

We start with core mathematical sciences, including probability theory and mathematical statistics, and then continue onto specialized topics, such as nonlinear partial differential equations, geometric analysis, mathematical physics, K-theory and C*-algebras, dynamical systems, network science, computational topology, and data science.

Our Mathematics master's follows an apprenticeship model. Students will choose a research project and a develop it across multiple semesters under the guidance of a faculty member or industry mentor. Recent research projects have included applications to systems biology, complex networks, topological insulators, and astrodynamics.

The master's in Mathematics is STEM-accredited, making graduates eligible for extended Optional Practical Training to live and work in the United States for up to 36 months after graduation.

Highlights

  • Work with research-active faculty or an industry mentor on real-world simulations.
  • Capitalize on our New York City location with workshops, seminars, internships, and networking.
  • Apply your mathematical skills in industries such as finance, technology, pharmaceuticals, bioscience, marketing, energy, insurance, research, or policy.
  • Earn your degree at a top 100 university according to U.S. News and World Report.

The master’s in Mathematics is a STEM-approved degree. International students may be eligible for up to 36 months of OPT. The program also offers several opportunities for Curricular Practical Training (CPT).

Built into the curriculum is the ability for students to customize their ten courses to focus on specific areas to build successful careers in math. Students may also pursue the Financial Mathematics specialization, which combines mathematical knowledge with emerging applications, including financial time series, pricing of derivatives, portfolio theory, risk management, and econometrics.

  • Data Science
  • Mathematical Modeling
  • Probability Theory

Our program is ideal for motivated individuals seeking a rigorous, yet flexible master's degree in mathematics. The MA will prepare you for a doctoral program or a career in industries such as technology, healthcare, economics, or finance.

Note that YU undergraduate students may be eligible to earn credit towards the MA in Mathematics under the dual degree BA/MA option. For more information, please email Dr. Marian Gidea.

  • Actuary
  • Data analyst
  • Financial analyst
  • Investment Analyst
  • Mathematician
  • Quantitative Analyst
  • Statistician

Our graduates are prepared to apply to doctoral programs and have been employed by companies including Goldman Sachs, Merrill Lynch, J.P. Morgan Chase & Co., Bank of America, Citigroup, Deutsche Bank, Ernst & Young Actuarial Group, Deloitte & Touche, Travelers Insurance, TIAA-CREF, and many others.

Students graduating from our PhD program are prepared to pursue mathematics at the highest levels, such as a research mathematician, a university professor or an applied mathematician in industry or government positions.

Successful incoming students to the PhD program have mathematical skills at the masters level, which is often demonstrated by a masters degree and a strong masters thesis. Exceptional students may be admitted to the program without a masters degree and can earn an MA degree in mathematics along the way while pursuing their PhD studies.

In the first year, students take required courses and are expected to pass an advanced qualifying examination in real analysis, complex analysis and a third field chosen by the student in the intended area of research. After passing the qualifying exams, students can choose elective or reading courses in specialized topics and start to work on the research thesis with the guidance of a faculty adviser. Upon completion and successful defense of the thesis, the PhD degree is awarded.

Our PhD program follows an apprenticeship model, in which students work on a research project across multiple semesters under the close guidance of a mentor. Being a small PhD program, maximal attention is payed to all our students.

Yeshiva University has an exceptional tradition and legacy in mathematical physics, and an impressive track record of training research mathematicians. Famous alumni include: Hillel Furstenberg (Abel Prize in Mathematics 2020), Benjamin WeissMichael Aizenman, and Charles Peskin.

A lot of present research topics are still organized around mathematical physics, such as dynamical systems, celestial mechanics, statistical mechanics, classical and quantum mechanics, geometric analysis, partial differential equations, complex systems, computational mathematics and physics, and materials science. More details on faculty research interests can be found here.

Besides the exceptional opportunities of becoming a pure mathematician at Yeshiva University, an increasing number of PhD graduates decide to start a career outside of academia, such as in business, industry or government. We leverage our excellent location in midtown and uptown Manhattan to the fullest to provide our students the opportunity to take an internship position, build connections and land a competitive job as a highly skilled mathematician outside academia. 

File downloads