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Engineering

PhD Complex Systems and Data Science at University of Vermont

University of Vermont, United States

Programme overview

The Ph.D. in Complex Systems and Data Science provides a pan-disciplinary academic training for graduate students working on complex systems problems across all quantitative sciences. While the Ph.D. resides in the College of Engineering and Mathematical Sciences (CEMS), thereby providing a strong computational and theoretical training, the program’s scope is science-wide, encompassing natural, artificial, and sociotechnical systems. Depending on their chosen area of focus, students will work within and across research groups (potentially outside of CEMS) and be strongly connected with other students through co-location and regular student-led meetings and events.

Department: Complex Systems and Data Science  |  Study mode: full-time  |  Location: Burlington, VT, United States

What you will study

1. Completion of coursework 2. The comprehensive exams 3. The dissertation proposal

Official programme page

Application information

Entry requirements

Students will need to earn a minimum 3.0 GPA to graduate. Graduate College-wide: at least 2 letters of recommendation (individual programmes may require up to 3); applicants whose first language is not English need TOEFL iBT 90, IELTS 6.5 or Duolingo 110 minimum; admission tests, GPA and other criteria vary by programme.

Tuition is charged per credit, so the total depends on the modules you register for each year. Current fees are listed in the official fee schedule.

Graduate applications go through the UVM Graduate College online application; deadlines vary by programme. The application fee is $65 for master's and doctoral programmes. At least two letters of recommendation are required by the Graduate College.

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