Applied Statistics and Decision Making (M.S.)

Are you enticed by the fact that statistics experts are getting hired everywhere, but you feel that your true calling lies in biomedical research? Do you have a knack for numbers but a devotion to public policy?

These unique combinations find a home in the Gabelli School’s Master of Science in Applied Statistics and Decision Making (M.S.S.D.) program. The curriculum is general enough to offer a solid foundation in data science and flexible enough to marry it to the specific area that interests a student most—whether it’s a business discipline or not.

This works in your favor in ways you might not even realize: Companies are looking for candidates who demonstrate a clear passion for their chosen field.

Fordham M.S.S.D. students can choose between a one-year, full-time program, or a part-time, two-year option that accommodates work schedules or internships.

To learn more about the M.S. in Applied Statistics and Decision Making, visit the Fordham website.

Prerequisites

M.S.S.D. students need basic knowledge of statistics and calculus when they start the program. If you don’t have that, we can help. Students who need prerequisites can take them at the Gabelli School prior to beginning the M.S.S.D. coursework.

Curriculum

The schedule below illustrates how the M.S.S.D. is structured for a full-time student who aims to complete the degree in one year. Part-time students work with our program director and academic advisor to stretch the M.S.S.D. over a longer time frame that makes sense for their professional schedules. This is a ten course, 30-credit program, with five required courses and a choice of five electives.

Elective Courses

Courses in this group have the ASDM attribute.
Students may consult with the Faculty Program Director and Academic Advisor to seek approval to fulfill electives among SDGB, FNGB, GFGB, QFGB, and ISGB courses. Students are responsible for completing any course prerequisites if necessary.