Masters with Specialization in Health Monitoring


M.S. Degree in Structural Engineering
with Specialization in Health Monitoring & Non-Destructive Evaluation

The M.S. degree in SHM &NDE provides specialized multidisciplinary knowledge in the three technology areas of

  1. Sensing Technology,
  2. Data Interrogation, and
  3. Modeling Analysis


Thesis option (units)

Comprehensive option (units)

Core course

SE 263 “Nondestructive Evaluation (4)

SE 265 “Structural Health Monitoring Principles” (4)

SE 263 “Nondestructive Evaluation (4)

SE 265 “Structural Health Monitoring Principles” (4)

Capstone experience

No requirement

SE 296 “Independent Study” or approved equivalent (4)

Thesis research

SE 299 “Graduate Research” (8)

No requirement

Focus sequence 1

One from Focus Area 1 (4)

One from Focus Area 1 (4)

Focus sequence 2

Two from Focus Area 2 (8)

Two from Focus Area 2 (8)

Focus sequence 3

Two from Focus Area 3 (8)

Two from Focus Area 3 (8)

Technical elective

No requirement

One from Technical Elective (4)

Total units



Many courses currently offered within the Jacobs School of Engineering may be grouped into numerous focus sequences within each technology area, as shown in the following list:

A. Sensing Technology Area  (Focus Area 1)

SE 252 “Experimental Mechanics and NDE”

SE 264 “Sensors and Data Acquisition for Structural Engineering”

SE 266 “Smart and Multifunctional Materials”

SE 268 “Structural System Testing and Model Correlation”

CSE 237A “Introduction to Embedded Computing”

ECE 257B “Principles of Wireless Networks


B. Data Interrogation (Focus Area 2)

SE 207 “Diagnostic Imaging”

ECE 251A “Digital Signal Processing I”

ECE 251B “Digital Signal Processing II”

ECE 251C “Filter Banks and Wavelets”

ECE 253 “Fundamentals of Digital Image Processing”

ECE 254 “Detection Theory”

SE 268 “Structural System Testing and Model Correlation”

MAE 283A “Parametric Identification: Theory and Methods”

CSE 254 “Statistical Learning”

CSE 255 “Data Mining and Predictive Analytics”

CSE 250A “Principles of Artificial Intelligence: Probabilistic Reasoning and Learning”

CSE 250B “Principles of Artificial Intelligence: Learning Algorithms”

ECE 271A “Statistical Learning I”

ECE 271B “Statistical Learning II”


C. Modeling and Analysis  (Focus Area 3)

SE 207  “Fracture Mechanics and Failure Mechanisms” [1,2]

SE 207 “Validation and Verification of Computational Models”

SE 202 “Structural Stability”

SE 203 “Structural Dynamics”

SE 205 “Nonlinear Mechanical Vibrations”

SE 206 “Random Vibrations”

SE 224 “Structural Reliability and Risk Analysis”

SE 233 “Computational Techniques in Finite Elements” or SE 276A “Finite Elements in Solid Mechanics I”

SE 235 “Wave Propagation in Elastic Media” or MAE 238 “Stress Waves in Solids”

SE 236 “Wave Propagation in Continuous Structural Elements”

SE 253A “Mechanics of Laminated Composite Structures I”

SE 262 “Aerospace Structures Repair”

SE 254 “FRPs in Civil Structures”

SE 268 “Structural System Testing and Model Correlation”


Additionally, the Technical Elective course required for the Comprehensive option may be chosen from any of the Focus Area lists above (provided it is not being counted as a Focus Area requirement), or from this additional pre-approved list of courses:

SE 200 “Applied Mathematics in Structural Engineering”

SE 253B “Mechanics of Laminated Composite Structures II”

MAE 273A “Dynamic Behavior of Materials”

SE 201A “Advanced Structural Analysis”

SE 260 “Aerospace Structural Mechanics I”

ECE 250 “Random Processes”

SE 204 “Advanced Structural Dynamics”

SE 276B “Finite Elements in Solid Mechanics II”

ECE 241D “Array Processing”

SE 234 “Plates and Shells”

MAE 208 “Mathematics for Engineers”

ECE 255AN “Information Theory”

MAE 272 “Imperfections in Solids”

ECE 272A “Stochastic Processes in Dynamic Systems”

ECE 275A “Parameter Estimation I”

CSE 250C “Machine Learning Theory”


For the MS Thesis option, the eight-unit graduate research SE 299 culminates with the preparation of a written research thesis. The thesis must be successfully defended in an oral examination and public presentation conducted by a committee composed of three faculty members. The committee will consist of three faculty members, one with expertise in each of the three focus areas. A complete copy of the student’s thesis must be submitted to each member of the MS thesis committee at least two weeks prior to the defense.

For the MS Comprehensive option, the four-unit independent study SE 296 must be conducted as a capstone experience project. This project is intended to provide a mentored project whereby students integrate knowledge learned from their technology areas into solving a problem from structural health monitoring/prognosis or nondestructive evaluation. The specific deliverables associated with the capstone project experience will be proposed by the student together with the SE 296 mentor and will be approved by the Director of the MS program by the end of the quarter preceding the one in which the students intends to register in SE 296. The deliverables will be delivered to the SE 296 mentor, assessed by the mentor, and both the deliverables and assessment will be submitted to the Director of the MS program for final approval.

Because of the inherent inter-disciplinary nature of the MS SHM&NDE program, research within SE 296 or SE 299 may be conducted at outside locations (industry or government facilities). In this case a scientist or engineer on location, with an adjunct faculty appointment at UC San Diego, will be identified as the SE 296 mentor or the SE 299 advisor and who will also be a member of the Thesis committee.

Each quarter they are registered, all students in the M.S. SHM &NDE Comprehensive Examination Plan and all first-year students in the M.S. SHM &NDE Thesis Plan are required to enroll in the seminar course SE 290 (Invited Speakers).  For those students working in industry or government laboratories that cannot be released from their duties, successful completion of SE 290 will be obtained by attending an equivalent number of seminars at the off-site location that must be approved by a scientist on location with an adjunct faculty appointment at UCSD.