Our applied mathematics - data analytics students develop strong relationships with professors and learn the mathematics, statistics and programming that will help them get jobs in NYC and attend PhD programs.
Making sense of the large amounts of data that are being produced in business, industry and government requires a combination of mathematical modeling, programming and analysis. Data analysts combine these tools to solve complex problems and make informed decisions.
Why Choose Applied Mathematics - Data Analytics?
In our graduate program, you will master probabilistic modeling, databases 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.
Students who graduate from the Applied Mathematics-Data Analytics program have strong career choices with all of our recent graduates obtaining a job within six months of graduation and many students having job offers before they graduate. The department helps to create these opportunities by supporting students in the internship and job application process and connecting them with alumni at companies including Celonis, UPS, Blackrock, and ConEd. The department also has agreements with local nonprofit organizations like Casita Maria, which provides after school activities for children in the Bronx, to provide opportunities for applying data analytics to social justice issues.
As part of the graduate 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).
Students interested in obtaining a Ph.D. receive guidance during their Ph.D. application process. Students from our department have been successful in obtaining acceptances into Ph.D. programs in applied mathematics, statistics, and operations research at schools that include Columbia University, Johns Hopkins University, Pennsylvania State University, and Michigan State University.
Flexibility and Time to Completion
Our Advanced Certificate Students in Applied Mathematics - Data Analytics students work with the graduate director to design a post-baccalaureate 18-credit mathematics program that is tailored to their career goals.
Students may pursue the program full-time or part-time. Courses are scheduled in the evenings and some have an online component to accommodate students who work full-time. The program gives flexibility by allowing students to start in either the fall or the spring semester.
The cost is competitive for graduate programs in New York City. In addition to loans, financial support for graduate students in Applied Mathematics-Data Analytics is available on a competitive basis in the form of graduate assistantships and research assistantships.
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.
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.
What Will You Learn?
If you have a quantitative undergraduate degree and have taken Calculus I-II-III, Linear Algebra and Probability, then our 18-credit Advanced Certificate Program in applied mathematics - data analytics program provides students with experience in topics which include:
applied linear algebra
statistical methodology and probabilistic modeling
operations research and non-linear optimization
You will use computing and programming environments such as MATLAB, R and Python.
You will learn methods in computing, statistics and machine learning with a deep understanding of the mathematics in these methods. As a data analytics student you will:
Develop programming skills to solve problems in predictive analytics and applied mathematics
Gain confidence using analytics and data visualization software
Learn how to use probability models including random variables, Markov chains and queuing theory
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.