Stanford Root

Schedule

Stanford Root

Schedule

MS&E 208D

Practical Training

UNITS:1
GRADING:Satisfactory/No Credit
LEVEL:Graduate
GER:—

MS&E students obtain employment in a relevant industrial or research activity to enhance professional experience, consistent with the degree program they are pursuing. Students submit a statement showing relevance to degree program along with offer letter to the Student Services Office before the start of the quarter, and a 2-3 page final report documenting the work done and relevance to degree program at the conclusion of the quarter. This course may not be repeated. Prerequisite: satisfactory progress toward the relevant MS&E degree. To receive a permission code to enroll, please submit this form: https://forms.gle/bFtMtwJMyaCJRhkf8 with statement and offer letter.

Syllabus for selected term:
View Autumn 2026 Syllabus

Sections

3 Terms
Internship 1Open
ID: 1930
0 / 99 enrolled
DAYS:Not Applicable
TIME:Not Applicable
LOCATION:Not Applicable
INSTRUCTOR:
Katila, Riitta
1unit

MS&E 208D: Practical Training

1 units · Satisfactory/No Credit

MS&E students obtain employment in a relevant industrial or research activity to enhance professional experience, consistent with the degree program they are pursuing. Students submit a statement showing relevance to degree program along with offer letter to the Student Services Office before the start of the quarter, and a 2-3 page final report documenting the work done and relevance to degree program at the conclusion of the quarter. This course may not be repeated. Prerequisite: satisfactory progress toward the relevant MS&E degree. To receive a permission code to enroll, please submit this form: https://forms.gle/bFtMtwJMyaCJRhkf8 with statement and offer letter.

Offered in Autumn 2026, Winter 2027, Spring 2027 at Stanford University.

Autumn 2026 sections

  • Internship — TBA TBA — Katila, Riitta (Graduate)

Winter 2027 sections

  • Internship — TBA TBA — Katila, Riitta (Graduate)

Spring 2027 sections

  • Internship — TBA TBA — Katila, Riitta (Graduate)

More MS&E courses

  • MS&E 184: The Future of Work: What Will it Mean to Build AI-Augmented Organizations?
  • MS&E 203: Building and Evaluating AI Products
  • MS&E 206: Incentives in Computer Science (CS 269I)
  • MS&E 208A: Practical Training
  • MS&E 208B: Practical Training
  • MS&E 208C: Practical Training
  • MS&E 208E: Part-Time Practical Training
  • MS&E 211DS: Introduction to Optimization: Data Science (MS&E 111DS)
  • MS&E 211X: Introduction to Optimization (Accelerated) (MS&E 111X)
  • MS&E 220: Probabilistic Analysis
  • MS&E 221: Stochastic Modeling
  • MS&E 223: Stochastic Simulation and Monte Carlo Methods

All MS&E courses · All departments