¸ÌéÙÖ±²¥

MA IN MATHEMATICS

Professor instructs his graduate mathematics class

Mathematics plays an essential part in every area of modern technology. Recognizing this diverse and important role of mathematics, the Department of Mathematics and Statistics offers a flexible Master of Arts in Mathematics graduate program built on a core of required courses and a wide range of specialized electives. The MA in Mathematics is ideal for those who have completed undergraduate coursework through multivariate calculus and linear algebra, and is a gateway to a multitude of in-demand careers and entrance to top PhD programs.

Students may complete their degree on a full or part-time basis, and have the flexibility to take elective courses in the MS in Applied Statistics program.

We also offer Graduate and Post-Master's Certificates in Math.

PROGRAM DETAILS

Students work closely with their advisors to select courses to best match their career aspirations. With a mix of foundational courses and electives, graduate students in Mathematics at ¸ÌéÙÖ±²¥ are prepared to gain entry into top PhD programs or advance in the career of their choice. Recent graduates of the program have embarked on careers such as:

  • Actuarial and accounting firms
  • The pharmaceutical industry
  • Systems analyst
  • Operations research
  • Secondary school teaching

Degree Requirements

Each student is required to complete 30 credit hours including:

  • MAT 7660 Linear Algebra
  • MAT 9000 Graduate Math Seminar (3 credits): Supervised study of selected topics in mathematics with presentations by individual students. This course is generally taken at the end of the program.
  • At least one course in pure mathematics (such as: MAT 7600- Advanced Calculus, MAT 7610 - Complex Analysis, MAT 8650- Abstract Algebra, MAT 8700 - Topology, MAT 7770 - Number Theory, MAT 8600 - Real Analysis).
  • Electives: up to four courses may be chosen from Statistics courses (such as: MAT 7404 - Statistical Methods, MAT 8400 - Statistical Theory, etc.). 
Courses
  • MAT 7290 - Geometry
  • MAT 7300 - History of Mathematics
  • MAT 7305 - Technology in the Teaching of Math
  • MAT 7310 - Topics in the Teaching of Math 
  • MAT 7600 - Advanced Calculus
  • MAT 7605 - Topics in Analysis
  • MAT 7610 - Complex Analysis
  • MAT 7660 - Linear Algebra
  • MAT 7670 - Mathematical Logic
  • MAT 7750 - Numerical Analysis 
  • MAT 7770 - Number Theory
  • MAT 7780 - Financial Mathematics
  • MAT 7790 - Dynamical Systems & Chaos
  • MAT 8430 - Operations Research
  • MAT 8435 - Mathematical Modeling
  • MAT 8600 - Real Analysis
  • MAT 8650 - Abstract Algebra
  • MAT 8655 - Topics in Algebra
  • MAT 8700 - Topology 
  • MAT 8705 - Topics in Topology
  • MAT 8740 - Applied Math 
  • MAT 9000 - Seminar

Sample Programs

To help students who wish to choose courses with a particular interest or concentration in mind, the following sample programs have been drawn up:


Pre-PhD Training

  • MAT 7600 - Advanced Calculus 
  • MAT 7605 - Topics in Analysis 
  • MAT 7610 - Complex Analysis 
  • MAT 7660 - Linear Algebra 
  • MAT 8600 - Real Analysis 
  • MAT 8650 - Abstract Algebra 
  • MAT 8655 - Topics in Algebra 
  • MAT 8700 - Topology I 
  • MAT 8705 - Topics in Topology


Junior College Teaching

  • MAT 7290 - Geometry 
  • STAT 7404 - Statistical Methods I 
  • MAT 7600 - Advanced Calculus 
  • MAT 7605 - Topics in Analysis 
  • MAT 7610 - Complex Analysis 
  • MAT 7660 - Linear Algebra 
  • MAT 7670 - Mathematical Logic 
  • MAT 8430 - Operations Research 
  • MAT 8650 - Abstract Algebra 
  • MAT 8655 - Topics in Algebra


Applied Mathematics

  • MAT 7600 - Advanced Calculus 
  • MAT 7605 - Topics in Analysis 
  • MAT 7660 - Linear Algebra 
  • MAT 7610 - Complex Analysis 
  • MAT 7750 - Numerical Analysis I 
  • MAT 7755 - Numerical Analysis II 
  • MAT 8430 - Operations Research 
  • MAT 8435 - Mathematical Modeling 
  • MAT 8740 - Applied Math I 
  • MAT 8745 - Applied Math II


Statistics, Probability and Operations Research

  • STAT 7404 - Statistical Methods I 
  • STAT 7500 - Statistical Programming 
  • MAT 7600 - Advanced Calculus 
  • MAT 7605 - Topics in Analysis 
  • MAT 7660 - Linear Algebra 
  • MAT 7750 - Numerical Analysis I
  • STAT 8400 - Statistical Theory I 
  • STAT 8401 - Statistical Theory II 
  • MAT 8430 - Operations Research 
  • MAT 8435 - Mathematical Modeling 
  • STAT 8462 - Stochastic Processes

¸ÌéÙÖ±²¥ loves teachers! The University offers tuition discounts from 20% to 40% for current secondary school teachers. Our programs can be completed on a part-time basis, and each class meets once a week in the evenings.

       

Ready for the Next Step?

Department of Mathematics & Statistics
SAC Room 305
¸ÌéÙÖ±²¥ University
800 Lancaster Avenue
¸ÌéÙÖ±²¥, PA 19085 

Graduate Applied Statistics
and Data Science
Director: Dr. Paul Bernhardt

Graduate Mathematics
Director: 
Dr. Klaus Volpert

    

DEADLINES

March 1: For Fall admission with funding consideration

May 1: For Fall admission for international students without funding

August 1: For admission without funding for the fall

October 15: For Spring admission for international students without funding

December 1: For admission without funding for the spring

See more information and begin your application.

    

ALUMNI NEWS

Duane Stanton '19 MS, a statistical modeling expert

A New Treatment for COVID-19 Approved for Emergency Use. This Applied Statistics Alum Is on the Team That Helped Make It Happen

Duane Stanton '19 MS, a statistical modeling expert with GlaxoSmithKline and a graduate of the ¸ÌéÙÖ±²¥ master’s program in Applied Statistics, assisted in preparing a new monoclonal antibody treatment for market.