With a Master of Arts degree in Applied Mathematics, Computing, and Machine Learning, you can deftly help organizations understand change, calculate risks, and make data-informed decisions to make a positive impact.
Mathematics, particularly the field of applied mathematics, is accelerating rapidly. Applied Mathematics, Computing, and Machine Learning professionals work in almost every field and sector—both public and private—including some of the most up-and-coming areas such as clean energy, climate modeling, data mining, machine learning and artificial intelligence, personalized medicine, supply chain, and more.
Applied mathematics, computing, and machine learning have the ability to transcend the theoretical by placing value and providing clarity. This field deftly bridges the gap between theoretical knowledge and practical applications, validating and refining theories, and enabling new discoveries.
Unlike programs that focus solely on pure mathematics or computer science, St. John’s distinctive degree program offers deep knowledge of theoretical mathematics as it also strengthens your familiarity with the procedures and algorithms that underlie computation.
By earning your master’s in applied mathematics, computing, and machine learning, you gain the skills needed to succeed in some of the most sought-after (and rapidly growing) careers. No matter which field you’re interested in, you can pursue various careers with an M.A. in Applied Mathematics, Computing, and Machine Learning.
M.A. in Applied Mathematics, Computing degree awarded
Estimated Time to Complete
We know how important it is to stay at the forefront of the complex industry of machine learning. That’s why we created the Machine Learning Institute (MLI).
The Machine Learning Institute at St. John’s University addresses the rising demand of machine learning in research, the sciences, and engineering. It offers exciting lectures and minicourses to help you prepare for this rapidly growing and evolving field. Here are just some of the topics covered by the MLI mini courses:
There’s nothing quite like hands-on, real-world experience to prepare you for a career in applied mathematics, computing, and machine learning.
“As a student in the Applied Mathematics, Computing, and Machine Learning master’s program, I had agreat experience with 1:1 mentorship with professors, especially with research projects. They always set aside time to help with any questions or concerns.” -Alexis P. Adams ’23G
“As a student in the Applied Mathematics, Computing, and Machine Learning master’s program, I had a
great experience with 1:1 mentorship with professors, especially with research projects. They always set aside time to help with any questions or concerns.” -Alexis P. Adams ’23G
“My master’s from St. John’s has been extremely important (and a game changer) in my career. Thanks to all the combined analytical, research, and soft and hard skills developed through studying at St. John’s, I am able to deliver business value in my role as a Business Data Analyst for the New York City Department of Health.” -Ismael Monsegnur ’20G
The M.A. requires the successful completion of 33 credits of coursework and a coursework examination.
You are required to complete one of the following from each section:
(Must complete both)
Students must also complete five elective courses. Courses include:
We are here to answer any questions you may have about the M.A. in Applied Mathematics, Computing, and Machine Learning degree program and the admission process.
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The Office of Student Financial Services is committed to providing students and their families with the information they need to navigate and understand the financial aid and payment process.
St. John’s offers a free online application for all 100+ undergraduate programs, and graduate applications carry a low cost for most programs.