Campuses:
Twin Cities Campus
Economics M.A.Economics
College of Liberal Arts
Link to a list of faculty for this program.
Contact Information
Department of Economics, 4101 Hanson Hall, 1925 4th Street South, Minneapolis MN 55455 (6126256833; fax: 6126240209)
Email:
econdgs@umn.edu
Along with the programspecific requirements listed below, please read the
General Information section of
this
website for requirements that apply to all major fields.
Note: Students are admitted only for the PhD in economics; the MA is an optional part of the PhD program.
The economics graduate program offers degree work in both theoretical and applied fields of economics with an emphasis on quantitative economic analysis. The strong quantitative component in this degree emphasizes multivariate calculus, linear algebra, and econometrics (statistical methods of economic data). Economics coursework consists of microeconomic theory, macroeconomic theory, economic growth, price theory, costbenefit analysis, econometrics, economic modelling and forecasting, industrial organization, economic development, game theory, optimization theory, and financial, computational, international, mathematical, monetary, public, and labor economics. Fields of specialization and written preliminary examinations include microeconomic theory, macroeconomic theory, econometrics, economic growth and development, financial economics, game theory, computational economics, industrial organization, labor economics, international economics, mathematical economics, monetary economics, and public economics.
Program Delivery
Prerequisites for Admission
Special Application Requirements:
Note: The Economics graduate program does not accept applications directly to the MA; rather, the MA is an additional or alternative credential for students admitted to the Economics PhD program.
For an online application or for more information about graduate education admissions, see the
General Information section of this
website.
Program Requirements
Plan B: Plan B requires
24
major credits and
6
credits outside the major.
The final exam is written.
A capstone project is required.
Capstone Project:Two Plan B projects consisting of research papers or literature reviews are required; the PhD written preliminary exams required in two fields outside of economic theory ("field exams") may be used to satisfy either or both of the Plan B projects.
This program may be completed with a minor.
Use of 4xxx courses towards program requirements is not permitted.
A minimum GPA of 3.00
is required for students to remain in good standing.
Coursework offered on both the AF and S/N grade basis must be taken AF, with a minimum grade of C earned for each.
Required Core Courses (16 Credits)
Take the following courses for 16 credits:
ECON 8101  Microeconomic Theory
(2.0 cr)
ECON 8102  Microeconomic Theory
(2.0 cr)
ECON 8103  Microeconomic Theory
(2.0 cr)
ECON 8104  Microeconomic Theory
(2.0 cr)
ECON 8105  Macroeconomic Theory
(2.0 cr)
ECON 8106  Macroeconomic Theory
(2.0 cr)
ECON 8107  Macroeconomic Theory
(2.0 cr)
ECON 8108  Macroeconomic Theory
(2.0 cr)
Economics Electives (8 Credits)
Select at 8 credits of electives. ECON 8990 cannot be used to meet degree requirements.
ECON 8xxx
Outside Coursework (6 Credits)
Take at least 6 credits outside the major. Courses are selected in consultation with the director of graduate studies. ECON 8990 cannot be used to meet degree requirements.
CSCI 5302  Analysis of Numerical Algorithms
(3.0 cr)
CSCI 5512  Artificial Intelligence II
(3.0 cr)
CSCI 5521  Machine Learning Fundamentals
(3.0 cr)
CSCI 5523  Introduction to Data Mining
(3.0 cr)
CSCI 5525  Machine Learning: Analysis and Methods
(3.0 cr)
CSCI 5715  From GPS, Google Maps, and Uber to Spatial Data Science
(3.0 cr)
CSCI 5801  Software Engineering I
(3.0 cr)
CSCI 8115  HumanComputer Interaction and User Interface Technology
(3.0 cr)
ECON 8xxx
FINA 8802  Theory of Capital Markets I: Discrete Time
(2.0 cr)
FINA 8803  Theory of Capital Markets II: Continuous Time
(2.0 cr)
FINA 8810  Topics in Asset Pricing
(2.0 cr)
FINA 8812  Corporate Finance I
(2.0 cr)
FINA 8820  Topics in Corporate Finance
(2.0 cr)
IE 8534  Advanced Topics in Operations Research
(1.04.0 cr)
MATH 5485  Introduction to Numerical Methods I
(4.0 cr)
MATH 5486  Introduction To Numerical Methods II
(4.0 cr)
MATH 5615H  Honors: Introduction to Analysis I
(4.0 cr)
MATH 5616H  Honors: Introduction to Analysis II
(4.0 cr)
MATH 5651  Basic Theory of Probability and Statistics
(4.0 cr)
MATH 5652  Introduction to Stochastic Processes
(4.0 cr)
MATH 8201  General Algebra
(3.0 cr)
MATH 8271  Lie Groups and Lie Algebras
(3.0 cr)
MATH 8301  Manifolds and Topology
(3.0 cr)
MATH 8302  Manifolds and Topology
(3.0 cr)
MATH 8306  Algebraic Topology
(3.0 cr)
MATH 8441  Numerical Analysis and Scientific Computing
(3.0 cr)
MATH 8442  Numerical Analysis and Scientific Computing
(3.0 cr)
MATH 8445  Numerical Analysis of Differential Equations
(3.0 cr)
MATH 8501  Differential Equations and Dynamical Systems I
(3.0 cr)
MATH 8502  Differential Equations and Dynamical Systems II
(3.0 cr)
MATH 8520  Topics in Dynamical Systems
(1.03.0 cr)
MATH 8571  Theory of Evolutionary Equations
(3.0 cr)
MATH 8572  Theory of Evolutionary Equations
(3.0 cr)
MATH 8583  Theory of Partial Differential Equations
(3.0 cr)
MATH 8590  Topics in Partial Differential Equations
(1.03.0 cr)
MATH 8601  Real Analysis
(3.0 cr)
MATH 8602  Real Analysis
(3.0 cr)
MATH 8651  Theory of Probability Including Measure Theory
(3.0 cr)
MATH 8652  Theory of Probability Including Measure Theory
(3.0 cr)
MATH 8659  Stochastic Processes
(3.0 cr)
NSCI 5101  Neurobiology I: Molecules, Cells, and Systems
(3.0 cr)
PSY 5015  Cognition, Computation, and Brain
(3.0 cr)
PSY 5018H  Mathematical Models of Human Behavior
(3.0 cr)
PSY 5062  Cognitive Neuropsychology
(3.0 cr)
PSY 5064  Brain and Emotion
(3.0 cr)
PSY 5065  Functional Imaging: Handson Training
(3.0 cr)
PSY 5137  Introduction to Behavioral Genetics
(3.0 cr)
STAT 5101  Theory of Statistics I
(4.0 cr)
STAT 8054  Statistical Methods 4: Advanced Statistical Computing
(3.0 cr)
STAT 8056  Statistical Learning and Data Mining
(3.0 cr)
STAT 8101  Theory of Statistics 1
(3.0 cr)
STAT 8102  Theory of Statistics 2
(3.0 cr)
STAT 8501  Introduction to Stochastic Processes with Applications
(3.0 cr)


Credits:  2.0 [max 2.0] 
Typically offered:  Every Fall 
Credits:  2.0 [max 2.0] 
Typically offered:  Every Fall 
Credits:  2.0 [max 2.0] 
Typically offered:  Every Spring 
Credits:  2.0 [max 2.0] 
Typically offered:  Every Spring 
Credits:  2.0 [max 2.0] 
Typically offered:  Every Fall 
Credits:  2.0 [max 2.0] 
Typically offered:  Every Fall 
Credits:  2.0 [max 2.0] 
Typically offered:  Every Spring 
Credits:  2.0 [max 2.0] 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  CSci 5512W/CSci 5512 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Periodic Fall 
Credits:  3.0 [max 3.0] 
Typically offered:  Periodic Fall & Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Fall Even Year 
Credits:  3.0 [max 3.0] 
Typically offered:  Spring Even Year 
Credits:  3.0 [max 3.0] 
Prerequisites:  2041 or # 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Typically offered:  Periodic Fall & Spring 
Credits:  2.0 [max 2.0] 
Typically offered:  Every Fall 
Credits:  2.0 [max 2.0] 
Typically offered:  Every Spring 
Credits:  2.0 [max 4.0] 
Grading Basis:  AF or Aud 
Typically offered:  Fall Even Year 
Credits:  2.0 [max 2.0] 
Typically offered:  Every Fall & Spring 
Credits:  2.0 [max 4.0] 
Grading Basis:  AF or Aud 
Typically offered:  Fall Odd Year 
Credits:  1.0 4.0 [max 8.0] 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Spring 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 5651/Stat 5101 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall & Spring 
Credits:  3.0 [max 3.0] 
Grading Basis:  AF or Aud 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Grading Basis:  AF or Aud 
Typically offered:  Periodic Fall 
Credits:  3.0 [max 3.0] 
Grading Basis:  AF or Aud 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Grading Basis:  AF or Aud 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Grading Basis:  AF or Aud 
Typically offered:  Periodic Fall 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Grading Basis:  AF or Aud 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Grading Basis:  AF or Aud 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Grading Basis:  AF or Aud 
Typically offered:  Every Spring 
Credits:  1.0 3.0 [max 12.0] 
Grading Basis:  AF or Aud 
Typically offered:  Periodic Fall & Spring 
Credits:  3.0 [max 3.0] 
Grading Basis:  AF or Aud 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Grading Basis:  AF or Aud 
Typically offered:  Periodic Spring 
Credits:  3.0 [max 3.0] 
Grading Basis:  AF or Aud 
Typically offered:  Every Fall 
Credits:  1.0 3.0 [max 3.0] 
Grading Basis:  AF or Aud 
Typically offered:  Every Fall & Spring 
Credits:  3.0 [max 3.0] 
Grading Basis:  AF or Aud 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Grading Basis:  AF or Aud 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Grading Basis:  AF or Aud 
Typically offered:  Every Fall & Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Spring Even Year 
Credits:  3.0 [max 3.0] 
Grading Basis:  AF only 
Typically offered:  Periodic Fall 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Grading Basis:  AF or Aud 
Typically offered:  Spring Odd Year 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Fall 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Prerequisites:  STAT 8053 or # 
Grading Basis:  AF or Aud 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Grading Basis:  OPT No Aud 
Typically offered:  Periodic Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Periodic Fall 