Why Choose Applied Mathematics - Data Analytics?
In our graduate program you will master probabilistic modeling, data mining and machine learning, operations research and statistics, and work on projects that combine these tools to solve complex problems and make informed decisions.
Analytics is one of the fastest growing fields in business, industry and government. According to the Bureau of Labor and Statistics, job growth in this field will increase by 30% in the next 10 years.
Programs Offered
We offer three different program options, 5-year B.S./M.S., M.S., and Certificate, to accommodate students of virtually all levels.
M.S.
If you have a quantitative undergraduate degree and have taken Calculus I-II-III, Linear Algebra and Probability, then our 30-credit M.S. in applied mathematics - data analytics program provides students with experience in:
- computational methods
- applied linear algebra
- statistical methodology and probabilistic modeling
- machine learning
- operations research and non-linear optimization
- database methods
You will use computing and programming environments such as MATLAB, R and Python. You can also take electives in mathematics, business and computer science.
As part of the M.S. program, students are encouraged to complete internships. Recent students have interned for UPS, Blackrock, 1010 Data and the New York State Research and Development Authority (NYSERDA).
5-Year B.S./M.S.
Our B.S. in Mathematics/M.S. in Applied Mathematics - Data Analytics students work with the graduate director to design a program that allows them to begin with graduate study in their junior year, and to finish the combined program in 5 years. As an undergraduate student, you will begin with calculus classes, which are enhanced by computational software such as MAPLE. Undergraduate courses in linear algebra are enhanced using MATLAB and statistics courses use R. Courses in abstract algebra and analysis build depth. You can do an independent study or choose from a wide range of elective topics, including:
- statistical inference
- applied statistics
- mathematical modeling
- operations research
- machine learning
Certificate
We also offer a 18-credit post-baccalaureate certificate for students who have a bachelor's degree in a quantitative discipline and a strong background in mathematics.
The Community
Small classes foster collaborative problem solving and knowledge sharing. You will become a part of a caring and creative campus community, developing strong relationships, both with peers and professors.
If you want to pursue research in a particular topic, our faculty members are eager to collaborate with you, and mentor you to present your work at professional conferences.
The Experience
Our New York City location is just minutes from the nation’s top financial and tech industry companies. Intern with established companies, like UPS or Google, or get in on the ground floor in New York’s booming tech startup industry.