StudyQA — Master: Data Analytics and Statistics — Washington University in St. Louis

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Description Contents Requirements Funding

The MS in Data Analytics and Statistics is an academic master’s degree designed for students interested in learning statistical techniques necessary to make informed decisions based on data analysis.

Statistics Track
Year 1: Fall ESE 520: Probability and Stochastic Processes Math 439: Linear Statistical Models ESE 425: Random Processes and Kalman Filtering	Year 1: Spring ESE 524: Detection and Estimation Theory Math 494: Mathematical Statistics CSE 514: Data Mining ESE 415: Optimization	Year 2: Fall Math 475: Statistical Computing Math 5061: Theory of Statistics I ESE 551: Linear Dynamic Systems I

Optimization and Decision Theory Track
Year 1: Fall ESE 520: Probability and Stochastic Processes ESE 403: Operations Research Math 439: Linear Statistical Models / ESE 551: Linear Dynamic Systems I	Year 1: Spring ESE 524: Detection and Estimation Theory Math 494: Mathematical Statistics CSE 514: Data Mining ESE 415: Optimization	Year 2: Fall CSE 541: Advanced Algorithms ESE 427: Financial Mathematics [or other application class] ESE 516: Optimization in Function Space

Computing Track
Year 1: Fall ESE 520: Probability and Stochastic Processes Math 475: Statistical Computation CSE 511: Introduction to Artificial Intelligence	Year 1: Spring ESE 524: Detection and Estimation Theory Math 494: Mathematical Statistics CSE 514: Data Mining CSE 517: Machine Learning	Year 2: Fall ESE 516: Optimization in Function Space Math 439: Linear Statistical Models ESE 403: Operations Research

Sample Programs Joint with MSEE

Joint MSEE and Statistics Track
Year 1: Fall ESE 520: Probability and Stochastic Processes ESE 551: Linear Dynamic Systems I ESE 425: Random Processes and Kalman Filtering	Year 1: Spring ESE 524: Detection and Estimation Theory Math 494: Mathematical Statistics Math 459: Bayesian Statistics ESE 415: Optimization	Year 2: Fall Math 475: Statistical Computing Math 5061: Theory of Statistics I ESE 545: Stochastic Control ESE 523: Information Theory	Year 2: Spring CSE 514: Data Mining CSE 517: Machine Learning ESE 553: Nonlinear Dynamic Systems Math 5062: Theory of Statistics II

Joint MSEE and Optimization and Decision Theory Track
Year 1: Fall ESE 520: Probability and Stochastic Processes ESE 403: Operations Research ESE 551: Linear Dynamic Systems I	Year 1: Spring ESE 524: Detection and Estimation Theory Math 494: Mathematical Statistics CSE 514: Data Mining ESE 415: Optimization	Year 2: Fall CSE 541: Advanced Algorithms ESE 427: Financial Mathematics [or other application class] ESE 516: Optimization in Function Space ESE 588: Quantitative Image Processing	Year 2: Spring CSE 517: Machine Learning ESE 553: Nonlinear Dynamic Systems ESE 544: Optimization and Optimal Control Math 459: Bayesian Statistics

Requirements

Application Fee ($75), credit card or check by mail
Unofficial copies of undergraduate and/or graduate transcripts
Three Letters of Recommendation

- Input recommendation providers' names and email addresses. Recommendation providers are automatically sent an email requesting a recommendation.
- Paper and email recommendations will not be accepted.
- The recommendations must be posted by the published deadline for final application submission.
Statement of Purpose and Resume/CV
- The Statement of Purpose should be a brief document explaining your goals and ambitions. (3 page maximum)
- Current Resume or Curriculum Vitae is to be uploaded in the section immediately following the Statement of Purpose.
GRE Scores
- GRE scores are required for all PhD and full-time Master’s applicants with the exception of applicants to the M. Eng. in Biomedical Innovation degree program.
- GRE scores are not required for applicants to part-time Master’s or the Bachelor’s/Master’s programs.
- If submitting scores, applicants must report their official scores via ETS at the time of application submission for evaluation purposes. The WashU School Code is 6929.
TOEFL or IELTS Scores
- Required for all international applicants.
- Applicants must report their official scores via ETS at the time of application submission for evaluation purposes. The WashU School Code is 6929.
  Note: This requirement may be waived if the applicant has a minimum of three years of documented study at an English-speaking institution, in a country where English is the primary language of daily living. Based on the evaluation of your application package, we retain the right to require English testing upon arrival and you may be required to take additional English classes. If you are recommended to take English classes, the cost of the courses will be your responsibility.