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 (MSSD) 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 MSSD 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 MS in Applied Statistics and Decision Making, visit the Fordham website.

Prerequisites

MSSD 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 MSSD coursework.

Curriculum

The schedule below illustrates how the MSSD 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 MSSD 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
FallCredits
SDGB 7844 STAT METHODS AND COMP I 3
SDGB 7841 STATISTICAL THEORY I 3
SDGB 7843 JUDGMENT & DECISION MAKING 3
Six credits of electives from the courses in the table below 6
 Credits15
Spring
SDGB 7840 APPLIED REGRESSION ANALYSIS 3
SDGB 7841 STATISTICAL THEORY I 3
Nine credits of electives from the courses in the table below 9
 Credits15
 Total Credits30

Elective Courses

Courses in this group have the ASDM attribute.

Course Title Credits
CISC 5300COMPUTER PROGRAMMING C++3
CISC 5350FINANCIAL PROGRAMMING3-4
CISC 6930DATA MINING3
CISC 6950ALGORITHMS & DATA ANALYS3
DGGB 7850FORECASTING MODELS3
ECON 6020MACROECONOMIC THEORY I3
ECON 6950FINANCIAL ECONOMETRICS3
FNGB 749AFINANCIAL MODELING3
ISGB 7967DATA MINING FOR BUSINESS3
ISGB 7975BUS ANALYTICS FOR MANAGERS3
MKGB 779IDATA-DRIVEN MARKETING DECISIONS3
MKGB 8701MARKETING ANALYTICS1.5
PSGE 7210EXPERIMENTAL DESIGN3
PSGE 7213APPLICATION OF MULTIVARIATE TECHNIQUES IN EDUCATION AND PSYCHOLOGY3
PSYC 7820NONPARAMETRIC STATS3
PSYC 7835CATEGORICAL DATA ANLSYS3
PSYC 7965EXPERIMENTAL DESIGN3
QFGB 8925SIMULATION APPLICATIONS2
QFGB 8935RISK MANAGEMENT2