Main navigation
- Programs
- Subjects
- Universities
- Destinations
- Advice
The Economics Master of Science program provides skills to apply microeconomic principles and data analytics to decisions and policy, including for markets, organizations, and government.
The Economics Master of Science program provides skills to apply microeconomic principles and data analytics to decisions and policy, including for markets, organizations, and government.
The program prepares students with core skills related to microeconomic theory, economic growth and innovation, and econometrics. Included are principles of optimal decision making; evaluation of individual, organizational, and societal costs and benefits; the role of markets; analytical modeling; data analytics; econometric techniques to explore relationships in data, assess causality, and make forecasts; econometric software use and reporting; determinants of economic growth; and the roles of science, innovation, and technology in driving growth. A quantitative and mathematical approach is used throughout.
Students also develop skills tailored for their future plans. These skills may include behavioral economics: analysis of actual behavior patterns of individuals, experimental techniques to study human behavior, economic theory to account for actual behavior, and policies to nudge behaviors and outcomes or to take advantage of behaviors for financial markets or other economic insights. Students may explore strategic interactions in economic applications of game theory. Students may study determinants and impacts of technological innovation, and how to better manage innovation processes and strategy. For health care, one of the biggest sectors of the economy, students may analyze patient and physician behaviors, government and medical industry policies, pharmaceutical and medical device industries, and the resulting cost and health care outcomes. Students gain extensive skills in data analytics, often extending their skills with leading-edge econometric techniques in big data analysis and management, and sometimes spanning disciplines to develop cognate data analytic skills such as computational data management algorithms and deep learning and neural network prediction. Students may develop interdisciplinary programs combining study of mathematics, computer science, engineering, management, or other disciplines.
The program can be completed in two semesters and 30 credits.
Applicants to the M.S. in Economics program should have completed a bachelor’s program at an approved institution or should be in a bachelor’s degree program at Rensselaer. Preparation prior to entering the M.S. program should include basic undergraduate courses in economics and mathematics, including calculus. Some background in statistics is strongly recommended. Coursework is selected in consultation with the program adviser. A thesis is optional, and requires that the student pass a comprehensive oral examination. There is no foreign language requirement
Outcomes of the Graduate Curriculum
Students who successfully complete this program will be able to:
Graduation Requirements
GRADUATE APPLICATION
Complete the online application for full- or part-time graduate degree programs.
Applicants may apply only to one degree program per term. Multiple applications for one term are not permitted.
NONREFUNDABLE APPLICATION PROCESSING FEE OF $75
The application processing fee must be paid electronically after submitting your application.
The application fee is waived for Rensselaer alumni, current Rensselaer students (matriculating and non-matriculating), employees, and employee spouses.
PERSONAL STATEMENT
Your Personal Statement should address your academic and research interests, and future career goals as they relate to the graduate program to which you are applying. The statement should include relevant academic/research, professional, and personal experiences that influenced your decision to apply to the graduate program.
The Architectural Sciences, M.S., program with a concentration in Built Ecologies requires an additional and separate Research Proposal describing your research goals and academic plan. The Research Proposal should describe your intended area of research and its broader significance, explaining why this area of inquiry matters. The statement should also address how your research interests align with the work being conducted at CASE, referencing any specific CASE projects that have inspired you and how they connect to your proposed research.
RESUME OR CURRICULUM VITAE
Your resume should include details about your education, employment, and internship history, as well as any pertinent research experience. International students in the U.S. on OPT or CPT should include details about their current activities.
LETTERS OF RECOMMENDATION
You will be required to enter two recommenders on the online application. Recommendations should be from your academic advisor(s), professors, research mentors, etc., who can provide an assessment of your likelihood of success at the graduate level in your field of study.
PORTFOLIO, IF REQUIRED BY DEPARTMENT
Architecture, Built Ecologies, and Electronic Arts only.
Critical Game Design M.S./Ph.D. requires examples of prior work (e.g.: portfolio, project samples).
TRANSCRIPTS AND DEGREES
Transcripts and Degrees must be in English (all post-secondary education, including transcript keys).
Unofficial transcripts should be uploaded to your graduate application. The minimum requirement for admission consideration is the completion and award of a four year U.S. bachelor's degree, or its equivalent, by the time of planned enrollment.
GRE/GMAT SCORES
Required for Management, Ph.D.
Optional for all other degree programs. Strongly recommended for all Computer Science and Cognitive Science programs. The GRE Institution code is 2757.
INTERNATIONAL STUDENTS (ONLY)
Applicants possessing a valid Green Card will be considered as a domestic student for purposes of admission and financial aid.
The TOEFL, IELTS, Duolingo, or PTE is required of all international applicants whose native language is not English.