Applied Statistics and Decision Making (M.S.)

This program is on PAUSE and will not have an entering class for the 2020-2021 academic year. Applications for the 2021-2022 academic year will be accepted starting September 1, 2020.

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.


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.


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.

Plan of Study Grid
SDGB 7844 Stat Methods and Comp I 3
SDGB 7841 Statistical Theory I 3
SDGB 7843 Judgment and Decision Making 3
Six credits of electives from the courses in the table below 6
SDGB 7840 Applied Regression Analysis 3
SDGB 7842 Statistical Theory II 3
Nine credits of electives from the courses in the table below 9
 Total Credits30

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.

Course Title Credits
ACGB 6111Fundamentals of Accounting I3
ACGB 7125Financial Statement Analysis3
ACGB 7128Advanced Financial Statement Analysis3
ACGB 719FAccounting Controls3
ACGB 719GAudit Data Analytics3
ACGB 719HIT Audit and Information Assurance3
ACGB 719JIndustry Analysis and Strategic Planning3
ACGB 819AValuation and Modeling for Accounting1.5
CISC 5300Computer Programming C++3
CISC 5350Financial Programming3
CISC 5790Data Mining3
DGGB 7850Forecasting Models3
ECON 6020Macroeconomic Theory I3
ECON 6950Financial Econometrics3
FNGB 749AFinancial Modeling3
ISGB 7967Data Mining for Business3
ISGB 7975Business Analytics for Managers3
MIGB 7732Data Driven Mktg Decisions3
MKGB 7730Research Methods3
MKGB 779IData-Driven Marketing Decisions3
MKGB 8701Marketing Analytics1.5
PSGE 7210Experimental Design3
PSGE 7213Application of Multivariate Techniques in Education and Psychology3
PSYC 7835Categorical Data Analysis3
PSYC 7965Experimental Design3
QFGB 8925Simulation Applications2
QFGB 8935Risk Management2