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?
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 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).
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
Students will typically complete the program in 3 semesters plus 1 internship or research project during the summer. Students who are undergraduates at Manhattan College are able to count six credits of graduate coursework toward both their undergraduate and graduate degrees which shortens the duration of the program.
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 the M.S. 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.
"I earned my bachelor’s degree in Mathematics from Manhattan. I'm the first generation in my family to go to college and I felt very insecure about my ability to understand all of the course material. My professors noticed that I lacked confidence, and definitely helped me overcome that. They were so helpful during my four years of undergrad that I felt like I could take on the challenge of graduate school.
"I originally chose Manhattan College for its location and size. I grew up in a small town in Pennsylvania — I wanted a big city experience without being too bombarded by crowd. I had visited a couple colleges in New York City, and I felt like those campuses were too spread out. When I visited Manhattan it felt like a really welcoming, tight-knit community. Having a more traditional campus made a big difference.
"In my MATH 492: Mathematical Modeling course we partnered with Assistant Provost David Mahan, formerly executive director of institutional research and assessment. We used statistical analysis to define patterns in and identify factors affecting student retention, engagement at Manhattan. It was my first experience applying complex math to solve a real world problem.
"One of the biggest takeaways from the Master’s program so far, is that if I don't know something, I know I have the problem-solving and research skills to figure it out.
"It was very messy - there was a lot of stuff missing and just trying to figure out exactly how to get results. The experience showed me that nothing will ever go exactly as planned. It was a glimpse of what it's like to have a career in mathematical modeling, and to work with at team. Nothing that is truly fulfilling comes easy. The fact that we worked so hard to get there, once it was done I felt an huge sense of accomplishment.
"The summer after I graduated, I interned with CPXi, a digital media holding company in midtown Manhattan. I found the opportunity through the Office of Career Pathways' Jasperlink job board and recruiting platform. As a publisher operations support intern, I assessed daily digital media reports from several different websites and help value the space for potential buyers in real-time bidding. It was really exciting. The experience helped me honed my computer skills.
"I used so many of the skills I learned in my modeling course, especially Microsoft Excel. So I was very happy that I had that experience from my course that gave me the extra push to get the internship.
"The graduate experience is very different. The class size is smaller than undergraduate — like a cohort, we help each other out. There are more projects and the pace is faster. Generally, more is expected of you. I’m also starting to feel a little more pressure in finding a job after graduation. I’m excited to start the job search.”
What Will You Learn?
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:
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 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 on a particular topic, our faculty members are eager to collaborate with you and mentor you to present your work at professional conferences.