Econometrics and Quantitative Economics (EQE) Specialization
This specialization supplements MA economic theory and econometric classes with one or more graduate “big data” or GIS mapping courses. Economic theory is widely applied to analyze the optimal pricing of all sorts of products from airline seats to car services. Social media and App based services generate large data sets well-suited to economic and statistical analysis.
- A natural MA degree for Math-Econ undergraduate majors or students with previous courses in applied econometrics/statistics.
- Well suited to those who plan to work with “big data” (large data sets generated by online service or search providers).
- Students acquire skills math, programming, R, Stata, Matlab and/or Eviews depending on their preparation (see below).
- Optional Professional Certification involves a research replication paper or a supervised private or public sector internship (requires a third semester).
- EQE is a DHS STEM designated degree (CIP code 45.0603) that may qualify students for three years of OPT or CPT (optional or curriculum practical training).
- Well suited to working with international organizations or private sector firms working applying economics to solve real world problems.
Students completing this specialization will have the skills to model and solve economic problems as well as to apply widely used econometrics packages and programming tools to analyse large data sets.
Learning Goals
Preparation and Further Reading
Applicants should have BA/BS in Economics, Math, Statistics, or related field. Recommended: Statistics (2 semesters) Calculus (2 semesters), and Linear algebra. Computer science and upper division statistics courses are also very helpful. Fordham and other University offer Summer GIS and sql data base courses. Some online courses in these areas are available. Please contact us at Economics@fordham.edu for further information, adding Econometrics and Quantitative Economics (EQE) to the subject line of your email.
Preparation and further reading
Illustrative EQE MA Program
- First year Fall/Spring Schedule [12 credits]
- ECON 5710 – Mathematics for Economists I [3 credits]
- ECON 6010 – Microeconomic Theory I [3 credits]
- ECON 6020 – Macroeconomic Theory I [3 credits]
- ECON 6910 – Applied Econometrics [3 credits]
- First Year Summer Courses: (Use sample courses from above 3-6 credits)
- ID Specialization courses:
- One of these ECON courses on this list:
- ECON 6950 – Financial Econometrics [3 credits]
- ECON 6710 – Math for Economists II [3 credits]
- 1-2 Outside Econ elective course from this list (3-6 Credits)
- CISC 5850 Social Networks [3 credits]
- BISC 7529 GIS [3 credits]
- CISC 5950 Big Data Programming [3 credits]
- CISC 6930 Data Mining (or CISC 6950 Algorithms and Data Analysis)
- CISC 5600 NoSQL Database Systems or CISC 6325 Database Systems
- One of these ECON courses on this list:
Illustrative EQE MA Program
Illustrative Five year EQE MA Program
- Undergraduate Senior 4th year (6 credits)
- ECON 5710 Mathematics for Economists I [3 credits]
- ECON 6910 Applied Econometric [3 credits]
- Summer Session classes (or see electives below)(6 credits):
- ECON 5006 – Programming for Economics and Finance [3 credits]
- ECON 5740 – GIS Mapping using Stata and R [3 credits]
- Fifth Year Schedule (18 credits)
- ECON 6010 Microeconomic Theory I [3 credits]
- ECON 6020 Macroeconomics I [3 credits]
- 1-2 ECON electives: (3-6 Credits)
- ECON 6950 – Financial Econometrics
- ECON 6710 Math for Economists II
- 1-2 Other non-ECON electives (3-6 credits)
- CISC 5850 Social Networks
- CISC 5950 Big Data Programming
- BIC 7529 GIS [3 credits]
Illustrative Five Year EQE MA Program
Optional Professional Certification
Optional Professional Certification varies by degree and but students generally work in their field, do a special project or conduct supervised research (2-4 Credits)