Why Choose Mathematics?

Mathematics is at the core of all the hard and soft sciences and even has application in the arts. An advanced degree helps students refine their understanding of mathematics, and open new career opportunities. ​This flexible, 30-credit program is specifically designed for teachers — whether you aspire to grow your career, become a community college professor, or simply wish to expand your mathematical education.

The Classes

As a graduate student in the mathematics program, you will study tertiary mathematics in four classical areas: algebra, analysis, statistics/data analysis and number theory. You will also choose from a series of elective courses.

The Community

Small classes foster collaborative problem solving and knowledge sharing. You will become a part of a caring and creative campus community, and develop strong relationships, both with peers and professors. 

​Meet the faculty »​

What Will You Learn?

As mathematics master’s student, you will learn:

• Classical foundations of mathematics, from group and ring theory to number theory and analysis.
• How data analytics is used to make better decisions.
• How classical mathematics connects to the secondary curriculum.

You may take electives that teach you:

• How machine learning leaders to more intelligent computer algorithms
• How chaos theory describes population dynamics.
• How network theory can be used to analyze the performance of a soccer team.

A five-year accelerated course of study is also available to mathematics undergraduates at Manhattan College.

See degree requirements

What Will You Do?

​Become a master teacher in your current school district, land a new position as a community college professor, or choose to pursue an advanced degree. Our graduates have received fellowships to pursue Doctoral degrees in mathematics, statistics, biostatistics, operations research and epidemiology.

Or start a new career. An advanced mathematics degree is applicable to virtually any industry. You will be prepared to work in actuarial science, computer science, operations research, engineering, biomathematics, cryptography and finance.