Key Features of Data Science and Economics Programs

Graduate Study at the Intersection of Data Science and Economics

At Fordham, students can pursue advanced study in programs that combine rigorous training in data science, quantitative methods, and economic analysis. The chart below outlines key differences among our master’s and dual-degree offerings to help you choose the program best suited to your professional and academic objectives.

Click on a program name for full curriculum details, admissions information, and contact details.

  • Category MS in Data Science

    Intended audience Students seeking strong data-science, AI, and analytics skills, whether from computing/statistics backgrounds or transitioning into the field.
    Key outcome/careers Data scientist, AI engineer, business intelligence analyst, analytics manager
    Core skill-sets &
    curriculum focus    		 -Machine Learning
    -Deep Learning
    -Artificial Intelligence and Modern AI Tools
    -Big Data Frameworks (Hadoop/Spark)
    -Programming (Python/R)
    -Statistical Modeling
    STEM Designation This is a registered STEM-designated program that permits a 24-month extension of post-completion Optional Practical Training (OPT) for a total eligibility of up to 36 months.
    Total credits 30 credits (10 courses)
    Typical duration 1-2 years full-time
    Campus location Lincoln Center
  • Category MS in Data Science & Quantitative Economics
    Intended audience Students who want to combine economic theory, quantitative methods, and data-science tools.
    Key outcome/careers Quantitative analyst, economic data scientist, policy or market modeller (private/public/NGO sectors)
    Core skill-sets &
    curriculum focus
    -Micro and Macro Theory
    -Applied Econometrics (Applied Statistics)
    -Machine Learning and Modern AI tools
    -Python Programming
    -Gain skills using Machine Learning + Big Data Analysis for economic and financial issues and policy
    STEM Designation
    This is a registered STEM-designated program that permits a 24-month extension of post-completion Optional Practical Training (OPT) for a total eligibility of up to 36 months.
    Total credits 30 credits (10 courses)
    Typical duration 3 semesters full-time or
    5 semesters part-time
    Campus location Lincoln Center and Rose Hill
  • Category MA in Economics
    Intended audience Students aiming for a strong foundation in economics—covering theory, policy, and quantitative analysis—either from economics or related backgrounds.
    Key outcome/careers Economist, policy analyst, business or financial research analyst
    Core skill-sets &
    curriculum focus
    -Micro & Macro Theory
    -Applied Econometrics (Applied Statistics)
    -Quantitative Reasoning
    -Competence in various applied areas: financial economics, applied microeconomics, climate and resource economics, monetary policy, and health policy
    STEM Designation
    This is a registered STEM-designated program that permits a 24-month extension of post-completion Optional Practical Training (OPT) for a total eligibility of up to 36 months.
    Total credits 31 credits (10 courses)
    Typical duration 1 year full-time (accelerated) or up to
    5 years part-time
    Campus location Rose Hill
  • Category Dual MA in Economics and MS in Data Science
    Intended audience Students seeking dual expertise in economics and data science through an integrated, streamlined credential.
    * The dual degree is available to students that are currently enrolled in the MA in Economics or MS in Data Science programs.
    Key outcome/careers Data-driven economist, quantitative consultant, applied researcher, analytics leader in private/public sectors
    Core skill-sets &
    curriculum focus
    -Micro & Macro Theory
    -Applied Econometrics (Applied Statistics)
    -Quantitative Reasoning
    -Competence in various applied areas: financial economics, applied microeconomics, climate and resource economics, monetary policy, and health policy
    -Machine Learning
    -Deep Learning
    -Artificial Intelligence and Modern AI Tools
    -Big Data Frameworks (Hadoop/Spark)
    -Programming (Python/R)
    -Statistical Modeling
    Total credits 45 credits 
    (15 courses reduced from 60, if completed separately)
    Typical duration ~2.5-3 years full-time or longer if
    part-time
    Campus location Lincoln Center and Rose Hill