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Applied and Computational Mathematics, Master of Arts

Math and Computer Science
33 Credits

St. John's College of Liberal Arts and Sciences
Queens Campus


The versatile Master of Arts in Applied and Computational Mathematics at St. John’s University will prepare you for immediate and lucrative employment in a wide range of high-growth career fields that include data mining and privacy, materials science, digital imagery, and finance, to name just a few. Unlike programs that focus solely on pure mathematics or computer science, this distinctive degree program offers you deep knowledge of theoretical mathematics alongside familiarity with the procedures and algorithms that underlie computation.  

Through the 33-credit program, you’ll use computer programs to solve real-world mathematical problems. You’ll develop and analyze mathematical models of physical and biological phenomena and engineering systems, interpret the solutions of these problems in the context of what they model, and use the results to identify relationships, patterns, and the effects of altering one or more variables or modeling assumptions.

Courses covering such topics as software systems, computer algorithms, machine learning, formal language theories, and database management systems will provide you with the research, analytical, and communication skills to succeed in any career path you choose. Thanks to our small class sizes, you’ll receive individual attention from faculty to guide your research and help you make career connections. Full-time students can complete the degree in two years, with classes scheduled to accommodate working professionals.

The program offers a track in Artificial Intelligence and Machine Learning, which will prepare you for careers in this quickly-growing area of science, art, technology, and business.

Department Faculty

Please see a list of our Mathematics and Computer Science faculty.

Department Contact

Florin Catrina, Ph.D.
Associate Professor and Program Director
St. John Hall, Room 334L
[email protected]


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The M.A. requires successful completion of 33 credits of coursework chosen from among the following three-credit courses, along with a comprehensive examination. You may also elect the Artificial Intelligence and Machine Learning.

Required Courses

  • MTH 161 Introduction to Probability
  • MTH 165 Introduction to Computing with Applications
  • MTH 167 Mathematical Modeling I
  • MTH 177 Software Systems
  • MTH 180 Computer Algorithms
  • MTH 209 Linear Algebra I
  • MTH 213 Applied Algebra
  • MTH 580 Database Management Systems
  • MTH 600 Topics in Applied and Computational Mathematics

Elective Courses (Choose Two)

  • MTH 172 Operations Research I
  • MTH 222 Machine Learning
  • MTH 242 Artificial Intelligence
  • MTH 276 Automata and Formal Language Theories
  • MTH 282 Convex Optimization

Artificial Intelligence and Machine Learning Track (Choose Five)

  • MTH 172 Operations Research I
  • MTH 222 Machine Learning
  • MTH 242 Artificial Intelligence
  • MTH 282 Convex Optimization
  • MTH 284 Statistical Natural Language Processing
  • MTH 290 Advanced Machine Learning


You can find more information about admission to this master’s program on the Graduate Admissions page.

International Students
International applicants may find more information on our International Admission and International Students and Scholars pages.

Contact Information
Office of Graduate Admission
[email protected]

Tuition and Financial Aid

The Department of Mathematics and Computer Sciences offers a limited number of academic graduate assistantship positions each year on a highly competitive basis. These positions provide tuition remission and a stipend and involve assisting faculty with their research. Non-academic graduate assistantships, which also offer tuition remission and a stipend, are available throughout the University. For more information about assistantships, please visit the Graduate Admissions page.

For information about other forms of financial aid, please visit Tuition and Financial Aid.

Career Outcomes

The M.A. in Applied and Computational Mathematics is a versatile and in-demand degree for employment. Effective use of advanced applied mathematical techniques has become increasingly important in industrial, business, and scientific settings, which rely on sophisticated software to solve complex problems. The ability to construct and analyze specific mathematical models and develop and efficiently execute computational mathematical algorithms is needed in virtually any field.

Once you graduate with your M.A., you’ll be able to pursue further doctoral study in mathematics or find immediate employment related to high growth fields such as: materials science; machine learning and artificial intelligence; computer animation and digital imagery; finance and economics; ecology; systems biology; climatology; and epidemiology.

Employers seeking candidates with advanced degrees in applied mathematics include:

  • Government laboratories, research offices, and agencies
  • Federally-funded contractors
  • Engineering research organizations
  • Computer information and software firms
  • Energy systems firms
  • Electronics and computer manufacturers
  • Consulting firms
  • Producers of petroleum and petroleum products
  • Aerospace and transportation equipment manufacturers
  • Financial service and investment management firms
  • Transportation service providers
  • Chemical or pharmaceutical manufacturers
  • Medical device companies
  • Communications services providers
  • Academic institutions and research institutes
  • Consumer products companies

Additional Information

Because of the low student-to-faculty ratio within the mathematics program, you will be able to work closely with professors on independent research in preparation for your career. The Department of Mathematics and Computer Science will also notify you of potential internship opportunities as they become available, and will assist you in the internship application process as needed. Our faculty members are active scholars who are dedicated to helping each student succeed.