Students
Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
Not Available
Duration
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Details
Program Details
Degree
PhD
Course Language
English
About Program

Program Overview


Academics

The university offers various academic programs, including the Interdisciplinary Doctoral Program in Statistics, Minor in Statistics and Data Science, MicroMasters program in Statistics and Data Science, Data Science and Machine Learning: Making Data-Driven Decisions, and the Norbert Wiener Fellowship.


Interdisciplinary Doctoral Program in Statistics

The Interdisciplinary Doctoral Program in Statistics offers several interdisciplinary PhD programs, including:


  • Interdisciplinary PhD in Aero/Astro and Statistics
  • Interdisciplinary PhD in Brain and Cognitive Sciences and Statistics
  • Interdisciplinary PhD in Economics and Statistics
  • Interdisciplinary PhD in Mathematics and Statistics
  • Interdisciplinary PhD in Mechanical Engineering and Statistics
  • Interdisciplinary PhD in Physics and Statistics
  • Interdisciplinary PhD in Political Science and Statistics
  • Interdisciplinary PhD in Social & Engineering Systems and Statistics

Interdisciplinary PhD in Mechanical Engineering and Statistics

Requirements

Students must complete their primary program’s degree requirements along with the IDPS requirements. Statistics requirements must not unreasonably impact performance or progress in a student’s primary degree program.


Grade Requirements

  • B+ in all required coursework
  • PhD Earned on Completion: Mechanical Engineering and Statistics
  • IDPS/Mechanical Engineering Chair: Themistoklis Sapsis

Course Requirements

  • IDS.190: Doctoral Seminar in Statistics (only available in Fall)
  • Probability:
    • 6.7700 (6.436): Fundamentals of Probability
    • 18.675: Theory of Probability
  • Statistics:
    • 6.7730: Modern Mathematical Statistics
    • 18.655: Mathematical Statistics
    • 18.6501: Fundamentals of Statistics
    • IDS.160: Mathematical Statistics – a Non-Asymptotic Approach
  • Computation & Statistics:
    • 2.168: Learning Machines
    • 6.7910 (6.860): Statistical Learning Theory and Applications
  • Data Analysis:
    • 2.122: Stochastic Systems
    • 2.29: Numerical Fluid Mechanics

Minor in Statistics and Data Science

The Minor in Statistics and Data Science is also available.


MicroMasters program in Statistics and Data Science

The MicroMasters program in Statistics and Data Science is offered.


Data Science and Machine Learning: Making Data-Driven Decisions

The Data Science and Machine Learning: Making Data-Driven Decisions program is available.


Norbert Wiener Fellowship

The Norbert Wiener Fellowship is also offered.


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