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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 combined Bachelor鈥檚 and M.S. 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.

Career Outcomes

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. 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.

Flexibility and Time to Completion

Our B.A./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. Students count six credits of graduate coursework toward both their undergraduate and graduate degrees.

What Will You Learn?

B.A./B.S.-M.S. in applied mathematics - data analytics program provides students with experience the core undergraduate curriculum (calculus, linear and abstract algebra, real and complex analysis) and in addition the material used in applied mathematics and data analytics:

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 may also take electives in mathematics, business and computer science.

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.

What Will You Do?

With an advanced mathematics degree, you will be prepared to work in data science, actuarial science, operations research, statistics, software engineering, and finance.

Jobs for Data Analytics Professionals

Careers of interest for data analytics majors include the following.

Data analyst
Data scientist
Statistician
Consultant
Actuary
Financial analyst
Software engineer
Operations research analyst