圣约翰大学

The versatile Master of Arts (M.A.) 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, privacy, medical science, climatology, materials science, digital imagery, and finance, just to name 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. 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.

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.

Courses

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

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.