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Program Information:Master of Science Degree

From Stanford Electrical Engineering Department Graduate Handbook

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Guidelines for Preparing the MS Program Proposal

The Program Proposal form can be found here.


The Program Proposal form must be approved by the student's faculty academic adviser and be submitted to the EE Degree Progress office (Packard 177) prior to the end of the first quarter of enrollment in the program (second quarter for HCP students). The faculty does not prescribe specific courses to be taken. Each student, with the help of their faculty adviser, prepares a program of study to meet his or her particular research interests and submits it to the faculty for approval. Guidelines for course programs that will normally be approved are listed below.


If your plans for meeting the degree requirements change, you must submit a revised program proposal to the department’s student services office for approval early in your final quarter in the program. The University’s minimum requirement for each master's degree is 45 unduplicated units of work done at Stanford. Students must also maintain a minimum cumulative GPA of 3.0 in order to maintain good academic standing. 


There is a three-year limit from the first quarter of enrollment in the Master’s Program to conferral of the degree--the MS program is usually completed in five Academic Year quarters. For coterminal students, the three-year period begins in the quarter following completion of 180 units. Students in the Honors Cooperative Program have a five-year limit for completing the degree. During your final quarter in the program, you must submit an Application to Graduate for Advanced Degrees through Axess.


In order to meet the requirements of the EE-MS degree, you must meet the following guidelines:


  • DEPTH: A sequence of at least 3 letter graded EE courses. At least one must be at the 300 level and the other courses must be at the 200 level or above to provide depth in one area (minimum of 9 units). The list of approved depth sequences is available below.  Special Studies (e.g., EE390/391) cannot be included. Depth sequences not specifically listed require special approval from the student’s academic adviser and the EE Student Services office.


  • BREADTH: 3 EE courses from 3 different areas  outside of the depth area (minimum of 9 units). Special Studies (e.g., EE390/391) cannot be included. The breadth requirement is satisfied by courses from three different areas, not including courses in the selected depth area. Two courses are not considered as being in distinct areas if they can be found under a common depth area (some courses appear in multiple depth areas). The list of approved courses is available below.


  • SEMINAR: The seminar requirement can be fulfilled by either (i) enrolling in at least one seminar course for credit or (ii) attending a minimum of 8 informal or formal research seminars. Students who enroll in 8 research seminars must submit, with their final MS program proposal, a list of the seminars with a paragraph describing the content of these classes and must receive approval of their faculty adviser.

 Of the 45 units that are required to complete the requirements of the EE-MS degree:

  •  At least 36 units must be letter graded units.  Up to 6 units of Special Studies (EE391) may be used to fulfill this requirement (Performance courses such as golf, choir or photography are not allowed).'
  • At least 21 units must be letter graded EE courses*numbered at the 200 level or above (excluding 278A), including at least 9 units numbered at the 300 level or above.
  • At least 30 units must be in technical areas such as science, mathematics, and engineering;Thesis, Special Studies, and seminar units cannot be included among these 30 units.
  • 1 seminar course from math, science or engineering departments.
  • 8 additional units of your choice. 
  • At least 36 units must be at or above the 100 level.



*'For the purpose of this and all other guidelines, "Electrical Engineering courses" includes all courses taught by the Electrical Engineering Department and all out-of-department courses approved as Electrical Engineering related courses. Related courses are listed in the EE Graduate Handbook.


New students are strongly advised not to undertake a heavy academic program in their first quarter at Stanford, as they are adjusting to their new environment and the demanding nature of graduate work. Three regular courses (8-10 units) provide a full-time workload, particularly during the first quarter at Stanford. The student's adviser should be consulted for further guidance on this and other course-enrollment questions.

The ability to take advantage of modern computing facilities is an essential skill for electrical engineers, and an increasing number of our courses routinely require programming ability, which is considered to be a requirement for the M.S. degree. If they do not already possess such skills, students are required to acquire this skill, preferably early in their programs, by taking a regular Computer Science course, or one of the special "short courses" given by the Computation Center, or by self-study.


Because the M.S. degree is an advanced degree in electrical engineering awarded entirely on the basis of course work, the program should contain a substantial amount of advanced electrical engineering course work. Mezzanine (200 level) courses, suitable for advanced undergraduates or beginning graduates, may be used in partial satisfaction of this requirement, but at least part of the program should be in the more advanced 300 and 400 series courses.


Special Studies

Students are encouraged to take full advantage of the opportunities for individual work (Special Studies) under the direction of individual faculty members, under the heading of EE 390 (satisfactory/no credit) or EE391(letter grade). Possibilities under this heading range from directed reading in an area of mutual interest to the equivalent of an M.S. thesis. These courses cannot be applied toward the fulfillment of the depth and breadth requirements.


Transfer Credit

Students may not transfer credits from a previously earned degree to count toward the requirements of the MS degree program. NDO students may, however, apply up to 18 units of Stanford coursework toward their EE degree.


Performance Courses

Performance courses such as golf, choir or photography cannot count toward the 36 letter graded unit requirement.  But they can count (up to 8 units) toward the additional unit requirement.

Deviations

Every attempt should be made to meet the above guidelines. Courses that deviate from one or more of the guidelines listed above must be approved by your faculty program advisor and EE Degree Progress.

Students contemplating a special program should submit a revised Master's Program Proposal form along with a written description of their particular objectives and how the proposed program meets these objectives.

The M.S. faculty adviser should initial the petition to show approval. The statement and revised program proposal should then be submitted to the Degree Progress Officer in Packard 177. 



Out of Department Courses Considered as EE Courses (Related Courses)


Please note that not all courses may be offered every year.

Course Title Equivalent EE Level
AA 244A Introduction to Plasma Physics and Engineering 200-299
AA 272C Global Positioning Systems 200-299
APPPHYS 202
Quantum Probability and Quantum Information
200-299
APPPHYS 203
Atoms, Fields and Protons
200-299
APPPHYS 207 Laboratory Electronics 100-199
APPPHYS 208 Laboratory Electronics 100-199
APPPHYS 227 Quantum Device Physics of Atomic and Semiconductor Systems 200-299
APPPHYS 272 Solid State Physics 200-299
APPPHYS 273 Solid State Physics II 200-299
APPPHYS 304 Lasers Laboratory 300-399
APPPHYS 305 Nonlinear Optics Laboratory 300-399
APPPHYS 387 Quantum Optics and Measurements 300-399
BIOE 334 Engineering Principles in Molecular Biology 300-399
CS 107 Computer Organization and Systems 100-199
CS 108 Object-Oriented Systems Design 100-199
CS 110 Principles of Computer Systems 100-199
CS 140 Operating Systems and Systems Programming 200-299
CS 143 Compilers 200-299
CS 144 Introduction to Computer Networking 200-299
CS 148 Introduction to Computer Graphics and Imaging
100-199
CS 194 Software Project 100-199
CS 205A Mathematical Methods for Robotics, Vision, and Graphics 200-299
CS 221 Artificial Intelligence: Principles and Techniques 200-299
CS 231A Introduction to Computer Vision 200-299
CS 228 Probabilistic Graphical Models: Principles and Techniques
300-399
CS 229 Machine Learning 300-399
CS 229A
Applied Machine Learning
200-299
CS 240 Advanced Topics in Operating Systems 200-299
CS 242 Programming Languages 200-299
CS 243 Program Analysis and Optimizations 300-399
CS 244
Advanced Topics in Networking
200-299
CS 244E Networked Wireless Systems 200-299
CS 245 Database Systems Principles 300-399
CS 248 Interactive Computer Graphics
200-299
CS 255 Introduction to Cryptography 200-299
CS 315A Parallel Computer Architecture and Programming 300-399
CS 315B Parallel Computing Research Project 300-399
CS 321 Information Processing for Sensor Networks 300-399
CS 343 Advanced Topics in Compilers 300-399
CS 344 Topics in Computer Networks 300-399
CS 347 Parallel and Distributed Data Management 300-399
CS 348A Computer Graphics: Geometric Modeling 300-399
CS 348B Computer Graphics: Image Synthesis Techniques 300-399
CS 448B Data Visualization 300-399
ENGR 105 Feedback Control Design 100-199
ENGR 205 Introduction to Control Design Techniques 200-299
ENGR 206 Control System Design 200-299
ENGR 207A Linear Control Systems I 300-399



ENGR 209A Analysis and Control of Nonlinear Systems 300-399



ENGR 240 Introduction to Micro and Nano Electromechanical Systems 200-299
ENGR 341 Micro/Nano Systems Design and Fabrication 300-399



MATSCI 199/MATSCI 209 Electronic and Optical Properties of Solids 200-299
MATSCI 316 Nanoscale Science, Engineering, and Technology 300-399
MATSCI 323 Thin Film and Interface Microanalysis 200-299
MATSCI 343 Organic Semiconductors for Electronics and Photonics 300-399
MATSCI 347 Introduction to Magnetism and Magnetic Nanostructures 200-299
ME 358 Heat Transfer in Microdevices 200-299
MS&E 237 The Social Data Revolution: Data Mining and Electronic Business 200-299
MS&E 251 Stochastic Decision Models 200-299
MS&E 310 Linear Programming 300-399
MS&E 311 Optimization 300-399
MS&E 313 Vector Space Optimization 300-399
MS&E 321 Stochastic Systems 300-399
MS&E 322 Stochastic Calculus and Control 300-399
MS&E 336 Topics in Game Theory with Engineering Applications 300-399
MS&E 338 Advanced Topics in Information Science and Technology 300-399



MS&E 351 Dynamic Programming and Stochastic Control 300-399
MUSIC 420A Signal Processing Models in Musical Acoustics 300-399
MUSIC 421A Audio Applications of the Fast Fourier Transform (FFT) 300-399
MUSIC 422 Perceptual Audio Coding 300-399
MUSIC 424
Signal Processing Techniques for Digital Audio Effects
300-399
PSYCH 221 Applied Vision and Image Systems 300-399
RAD 226 In Vivo Magnetic Resonance Spectroscopy and Imaging 300-399
STATS 315A Modern Applied Statistics: Learning 300-399
STATS 315B Modern Applied Statistics: Data Mining 300-399
STATS 375
Inference in Graphical Models
300-399


The following courses were previously approved as Related courses but are no longer offered:

AA 251 Introduction to the Space Environment

ENGR 207B Linear Control Systems II

ENGR 210B Advanced Topics in Computation for Control

GEOPHYS 265 Imaging Radar and Applications

MS&E 339 Approximate Dynamic Programming

Acceptable Courses for the Depth and Breadth Areas

The following list satisfies the depth requirement for the different specializations shown. A depth sequence consists of three courses taken from a single line and must contain a minimum of one class at the 300 level or above.

The breadth requirement is satisfied by courses from three different areas not including any courses in the selected depth area. Two courses are not considered as being in distinct areas if they can be found under a common depth area (some courses appear in multiple depth areas). Courses such as 293A and B under General Breadth may be used as breadth but are not part of a depth sequence.

Any 200 level or higher EE-Related courses that are not listed below (excluding EE 278A) may be taken as "additional EE courses", to satisfy the 21 units of EE courses requirement.

Please note that not all courses may be offered every year.

updated 6/18/12

  1. Biomedical Sensing and Imaging
    • 202, 225, (264 or 265), 302, 303, 331, 418
  2. Computer Hardware
    • 271, 273, 282, 382A, CS 315A, CS 315B
  3. Computer Software Systems
    • (EE 284 or CS 144), CS 242, CS 140, CS 240, CS 243, CS 245
    • CS 248, CS 348A, CS 348B
    • CS 143, CS 242, CS 243, CS 245, CS 343
  4. Control and System Engineering
    • 263, 363, 365, ENGR 205, ENGR 207A, ENGR 207B, ENGR 209A, ENGR 209B
  5. Communication Systems
    • 276, 279, 359, 360, 379
    • 375, 376A, 376B, 379, 387, 388, 477, 478 
    • 247, 279, 345, 347, 348, 379
  6. Dynamic Systems and Optimization
    • 263, 363, 364A, 364B, 365, MS&E 351, MS&E 339, MS&E 310, MS&E 311, MS&E 313, MS&E 321, MS&E 322
  7. Electronic Circuits
    • 214B, 271, 313, 314A (formerly 314), 314B, 315A, 315B, (344 or 414), 371
  8. Electronic Devices, Sensors and Technology
    • 212, 216, 248, 311, 312, 316, 317, 320, 321, 410, ENGR 240, ENGR 341, ENGR 342
  9. Fields, Waves and Radioscience
    • 242, 252, 254, 256, 262, 303, 346, 355, AA 244, AA 251
  10. Image Systems
    • 262, 331, 366, 368, 369A, 369B, 369C, 469B
    • 368, 398A, 398B, Psych 221, CS 231A, CS 248, CS 348A, CS 348B
  11. Lasers, Optoelectronics and Quantum Electronics
    • 231, 232, 234, 235, 243, 268, 334, 336, 340, 343, 346, 349, APPPHYS 304, APPPHYS 305
  12. Network Systems
    • (284 or CS 144), 382C, 384A, 384B, 384C, 384E, 384M, 384S, 384X, 384Y, CS 344, MS&E 336
  13. Signal Processing
    • 278B, 263, 363, 372, 378A, 378B, MS&E 339
    • (264 or 265 or 278B), Music 420A, Music 421A, Music 422, Music 424
    • CS 221, CS 228, CS 229, Stats 315A, Stats 315B
  14. Solid State Materials and Devices
    • 222, 223, 228, 243, 327, 328, 329, 335, MATSCI 199/209, MATSCI 323, MATSCI 343, MATSCI 347
  15. General Breadth (each line considered a separate area)
    • 293A, 293B
    • 204
    • 214A (counts as Electronic Circuits if Electronic Circuits is not the MS depth area)
    • 233 (counts as Electronic Circuits if Electronic Circuits is not the MS depth area)
    • CS 229A (counts as Signal Processing if Signal Processing is not the MS depth area)
    • EE 257/GP 258 (as long as the student’s MS depth area is not Image Systems or Signal Processing)



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