To support students in pursuing various career paths, the following three informal tracks have been developed as guidelines:
Available Tracks
In general, students who take two courses from the designated set of relevant courses for each track can claim the track as their specialty. The relevant courses for various tracks below are suggestive. The available courses will vary year by year to some degree. A small set of courses can count for more than one track, but only one course may be double-counted for the purpose of claiming tracks. Finally, upon approval, students can take and count up to 2 courses outside the economics department.
a) Financial Economics
ECON 7200 ST: Changing Market Technology
ECON 7240 Workshop in Applied Econometrics
ECON 7251 International Finance
Relevant courses in Finance Department
b) Health Economics
ECON 7200 ST: Health Econ & Health Care
ECON 7240 Workshop in Applied Econometrics
Relevant courses in Bouve College of Health Sciences such as:
PHTH 5234 Economic Perspectives on Health Policy
c) Industrial Organization
ECON 7271 Industrial Organization
ECON 7200 ST: Comp Policy & Regulation
ECON 7200 ST: Games and Behaviors
ECON 7240 Workshop in Applied Econometrics
NETS 7341 Network Economics
d) International Economics
ECON 7240 Workshop in Applied Econometrics
ECON 7250 International Economic Development
ECON 7251 International Finance
ECON 7253 International Integration
e) Labor and Development Economics
ECON 5291 Applied Development
ECON 5292 Gender and Development Economics
ECON 5293 Agriculture and Economic Development
ECON 7240 Workshop in Applied Econometrics
ECON 7250 International Economic Development
f) Public Economics
PPUA 6530 State and Local Public Finance
ECON 7200 ST: Health Econ & Health Care
ECON 7210 Applied Microeconomic Policy Analysis
ECON 7266 Economics of Government
g) Urban and Regional Economics
ECON 7210 Applied Microeconomic Policy Analysis
ECON 7260 Urban Economic Systems
ECON 7261 Urban Economic Development
ECON 7262 Regional Economic Theory
ECON 7240 Workshop in Applied Econometrics
Relevant courses in Data Analytics or Data Sciences programs such as:
- DA 5020 Collecting, Storing, and Retrieving Data
- DA 5030 Data Mining and Machine Learning
- DS 5220 Supervised Machine Learning and Learning Theory
- DS 5230 Unsupervised Machine Learning and Data Mining
This track is primarily for students who would like to pursue a PhD degree upon graduation. Students who followed this track have typically entered our own PhD program or gone to other PhD programs such as Cornell and Wisconsin. Note, however, students in this track are not guaranteed an admission to our own PhD program, although students in this track who perform well would have a significantly higher chance to be admitted.
Requirements:
a) Core courses:
- Advanced Math and Statistics for Economists (ECON 6105)
- Advanced Micro Theory (ECON 6110)
- Advanced Macro Theory (ECON 6120)
- Advanced Applied Econometrics 1 (ECON 6140)
b) Core electives:
- Micro Theory 2 (7710)
- Macro Theory 2 (7720)
- Applied Econometrics 2 (7740)
c) Other elective classes
Note: all tracks in general require the 4 core courses (Math and Statistics for Economists, Micro Theory, Macro Theory, and Applied Econometrics). The 6000 level courses are strongly suggested for the tracks.
Contact Information
Northeastern University
360 Huntington Avenue
301 Lake Hall
Boston, MA 02115-5000
phone: 617.373.2882
fax: 617.373.3640
email:
econ@northeastern.edu (undergrad and general inquiries)
gradecon@northeastern.edu (graduate inquiries)
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Type of Program
- Graduate
