MS Applied Statistics and Decision-Making

Fordham University, Gabelli School Of Business

Program Description

MS Applied Statistics and Decision-Making

Fordham University, Gabelli School Of Business

Businesses and governments have realized that data provides the best basis for both day-to-day tactical decisions and long-range strategic planning.

Be Your Company's Data Resource

More than ever, employers seek new hires who can bring data to bear on the decision-making process. This need touches all business fields: finance, marketing, public policy, manufacturing, technology implementation, and beyond.

Fordham’s MS in Applied Statistics and Decision-Making (MSSD) prepares students for this kind of work. It is an interdisciplinary program, drawing upon courses from computer science, management, psychology, IT, finance, and other academic areas.

This 30-credit program can be completed in one year of full-time study or two years of part-time study.

The ideal MSSD candidate will have earned an undergraduate or graduate degree in a quantitative or analytic discipline, such as statistics, mathematics, computer science, engineering, economics, or business. The MSSD builds on that previous study, with a structure as follows:


A basic knowledge of statistics and calculus is required. Students who do not meet this requirement can fulfill it by taking graduate business courses at Fordham prior to starting the MSSD program.

FALL TERM(five courses, 15 credits)

  • SD 7840 Applied Regression Analysis
  • SD 7841 Statistical Theory I
  • SD 7843 Judgment and Decision-Making
  • Plus two electives

SPRING TERM (five courses, 15 credits)

  • SD 7842 Statistical Theory II (To include Linear Models)
  • SD 7844 Statistical Methods and Computation I
  • Plus three electives


  • CISC 5300 Computer Programming C++
  • CICS 5350 Financial Programming
  • CISC 6930 Data Mining
  • CISC 6950 Algorithms and Data Analysis DG 7850 Time Series and Forecasting Models
  • ECON 6020 Macroeconomics
  • ECON 6950 Financial Econometrics FN 749A ST: Financial Modeling
  • IS 7975 Business Analytics for Managers
  • IS 7967 Data Mining for Business
  • MG 75XX ST: Bayesian Statistics
  • MG 75XX ST: Design of Statistical Studies
  • MG 75XX ST: Statistical Methods and Computation II
  • MG 75XX ST: Stochastic Processes
  • MG 75XX ST: Sampling Theory and Survey Design
  • MG 7605 Statistical Process Control
  • MK 779I ST: Data-Driven Marketing Decision-Making
  • MK 8701 Marketing Analytics
  • PS 6215 Quantitative Methods in Decision-Making
  • PS 7210 Design of Experiments
  • PSYC 7965 Experimental Design
  • PS 7213 Multivariate Statistics
  • PSYC 7835 Categorical Data Analysis
  • PSYC 7820 Nonparametric Statistics
  • QF 8925 Simulation Applications
  • QF 8935 Credit Risk Management
  • QF 8935 Risk Management
  • XX XXXX Qualitative Decision-Making

For descriptions of all courses listed above, please visit the Academic Bulletin and consult the Course Listings section.

For more information about the MSSD program, contact Professor Robert Wharton of the management systems faculty at

This school offers programs in:
  • English

Last updated February 8, 2016
Duration & Price
This course is Campus based
Start Date
Start date
Sept., 2017
Part time
Full time
40,560 USD
Start date Sept., 2017
USA New York, New York
Application deadline Request Info
End date Request Info
Duration Request Info
Price 40,560 USD
Full-time‚Ä®: $40,560