M.Sc. On Campus

Statistical and Economic Modeling

Duke University

24 months
57900 USD/year
57900 USD/year
Tuition fee
Apply date
Start date


 The Master's in Statistical and Economic Modeling program at Duke University is jointly managed and overseen by the Departments of Statistical Science and Economics to train and develop statistical skills linked to economics, finance, and related areas to prepare graduates for Ph.D. studies or related professions. 


About this Program

The focus of this master in Statistical and Economic Modeling at Duke University is on theory and methods of statistical science and economics, computational statistics, and interdisciplinary economic applications.  Students will study both statistics and economics coursework in depth, and will write a thesis paper based on an individual and mature research project. The degree will emphasize computational statistics and econometrics in a variety of programming languages including SAS, STATA, R, S-Plus, and others. Numerous opportunities for interdisciplinary research are possible through the connections with scholars at the Fuqua School of Business, Nicholas School of the Environment and Earth Sciences, the Sanford School of Public Policy, the Department of Computer Science, the National Institute of Statistical Sciences, the Statistical and Applied Mathematical Sciences Institute, and other departments, institutes, and local universities. Graduates will be awarded an M.S. degree in Statistical and Economic Modeling.

Because students study sophisticated statistical and analytical tools beyond the level covered in undergraduate and business school environments, our students have a distinct advantage when proceeding to Ph.D. programs and other careers featuring quantitative analysis and forecasting.

Programme Structure

Courses include:

  • Bayesian Inference and Decision
  • Choice Theory
  • Statistical Genetics
  • Predictive Modeling and Statistical Learning
  • Programming for Statistical Science
  • Advanced Bayesian Inference and Stochastic Modeling
  • Theory of Statistical Inference
  • Probabilistic Machine Learning
  • Information Theory
  • Advanced Probabilistic Machine Learning
  • ProSeminar: Becoming a Statistical Scientist
  • DataFest
  • Bayesian and Modern Statistical Data Analysis
  • Numerical Analysis
  • Statistical Methods for Computational Biology
  • Computational Structural Biology
  • Applied Stochastic Processes
  • Statistical Data Mining
  • Statistical Decision Theory
  • Causal Inference
  • Statistical Learning and Bayesian Nonparametrics

Key information


  • Full-time
    • 24 months

Start dates & application deadlines


30 SCH


On Campus

Academic requirements

GPA admission requirements GPA
GRE admission requirements GRE®

Other requirements

General requirements

  • Bachelor's degree in engineering or science from an accredited institution (transcripts required, including an estimated GPA and a grade scale)
  • Statement of Purpose
  • Resume
  • Three recommendations
  • Graduate Record Exam (GRE) or equivalent—official results
  • English Language Testing (TOEFL or IELTS)—official results 
  • Interview and/or a video introduction
  • Nonrefundable application fee of US$75— paid by credit card, or by a check made payable to Duke University

Tuition Fee

To alway see correct tuition fees
  • International

    57900 USD/year
    Tuition Fee
    Based on the tuition of 28950 USD per semester during 24 months.
  • National

    57900 USD/year
    Tuition Fee
    Based on the tuition of 28950 USD per semester during 24 months.

Living costs for Durham

990 - 1670 USD /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.


Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Statistical and Economic Modeling
Duke University


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