Core course requirements (4 courses)
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1 Theory course (MPCS or PhD level)
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2 Systems core classes (MPCS or approved 300-level PhD level)
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1 Machine Learning (MPCS 53111 or approved 300-level PhD course)
Research requirements (4 courses)
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2 Practicum courses with MS research advisor
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2 Reading & Research courses to work on research
Elective course requirements (4 courses)
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CMSC 300-level PhD courses providing depth in a specific area.
Internship requirements
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Pre-doctoral students should plan to work with their MS research advisor in the summer after their first academic year of study.
Sample Pre-Doc Course Schedule
Pre-Doctoral students are expected to concentrate most of their research work in their first year, allowing them to build a competitive PhD application in their final quarter. A typical schedule could look like this (research courses appear highlighted in bold):
Autumn
|
Winter
|
Spring
|
Summer
|
Autumn
|
Reading & Research |
Practicum |
Practicum |
Research with advisor |
Elective |
Theory |
Systems |
Reading & Research |
|
Elective |
Systems |
Elective |
Machine Learning |
|
Elective |