About the Program
The Department of Industrial Engineering and Operations Research (IEOR) offers four graduate programs: a Master of Engineering (MEng), a Master of Science (MS), a Master of Analytics (MAnalytics), and a PhD. These programs have been developed to meet the needs of individuals with backgrounds in engineering or the mathematical sciences who wish to enhance their knowledge of the theory, development, and use of quantitative models for design, analysis, risk management, and decision-making. This knowledge applies to complex systems in the industrial, service, or public sectors, including energy systems, supply chains, healthcare systems, and financial systems. Students may concentrate on theoretical studies in preparation for doctoral-level research, or on applications of state-of-the-art techniques to real world problems.
Master of Engineering (MEng)
The MEng is a professional, full-time, accelerated professional master's degree program. Students learn advanced techniques in IEOR and skills that prepare them to lead teams in developing new engineering solutions: skills in managing complex projects, motivating people, and directing financial and operational matters.
Master of Science (MS)
The MS is a full-time technical master's degree program. Students focus on both the theory of IEOR techniques and the application of those techniques. The MS is a terminal degree, meaning that students enrolled in the MS program do not typically continue further into the IEOR PhD program. Participants in the program are self-funded; the Department of IEOR does not offer funding and students will not be eligible for ASE (academic student employment) appointments funded by the department.
Master of Analytics (MAnalytics)
The 11-month in-person Master of Analytics program trains students in data-driven analytical methods and tools for optimization, statistics, simulation, and risk management with relevant industry context so that the graduates are not only highly skilled in the latest tools and fluent with working with large data sets, but also are able to raise the right questions to develop innovative models and find creative solutions to rapidly changing business and industry challenges, and communicate and implement their solutions.
Doctor of Philosophy (PhD)
The paramount requirement of a doctoral degree is the successful completion of a thesis on a subject within Industrial Engineering and Operations Research. Research areas may include the investigation of the mathematical foundations of and computational methods for optimization or stochastic models, including risk analysis. Research also may be undertaken to develop methodologies for the design, planning, and/or control of systems in a variety of application domains, including supply chains, energy systems, healthcare systems, and financial systems.
Admissions
Admission to the University
Minimum Requirements for Admission
The following minimum requirements apply to all graduate programs and will be verified by the Graduate Division:
- A bachelor’s degree or recognized equivalent from an accredited institution;
- A grade point average of B or better (3.0);
- If the applicant has completed a basic degree from a country or political entity (e.g., Quebec) where English is not the official language, adequate proficiency in English to do graduate work, as evidenced by a TOEFL score of at least 90 on the iBT test, 570 on the paper-and-pencil test, or an IELTS Band score of at least 7 on a 9-point scale (note that individual programs may set higher levels for any of these); and
- Sufficient undergraduate training to do graduate work in the given field.
Applicants Who Already Hold a Graduate Degree
The Graduate Council views academic degrees not as vocational training certificates, but as evidence of broad training in research methods, independent study, and articulation of learning. Therefore, applicants who already have academic graduate degrees should be able to pursue new subject matter at an advanced level without the need to enroll in a related or similar graduate program.
Programs may consider students for an additional academic master’s or professional master’s degree only if the additional degree is in a distinctly different field.
Applicants admitted to a doctoral program that requires a master’s degree to be earned at Berkeley as a prerequisite (even though the applicant already has a master’s degree from another institution in the same or a closely allied field of study) will be permitted to undertake the second master’s degree, despite the overlap in field.
The Graduate Division will admit students for a second doctoral degree only if they meet the following guidelines:
- Applicants with doctoral degrees may be admitted for an additional doctoral degree only if that degree program is in a general area of knowledge distinctly different from the field in which they earned their original degree. For example, a physics PhD could be admitted to a doctoral degree program in music or history; however, a student with a doctoral degree in mathematics would not be permitted to add a PhD in statistics.
- Applicants who hold the PhD degree may be admitted to a professional doctorate or professional master’s degree program if there is no duplication of training involved.
Applicants may apply only to one single degree program or one concurrent degree program per admission cycle.
Required Documents for Applications
- Transcripts: Applicants may upload unofficial transcripts with your application for the departmental initial review. Unofficial transcripts must contain specific information including the name of the applicant, name of the school, all courses, grades, units, & degree conferral (if applicable).
- Letters of recommendation: Applicants may request online letters of recommendation through the online application system. Hard copies of recommendation letters must be sent directly to the program, by the recommender, not the Graduate Admissions.
-
Evidence of English language proficiency: All applicants who have completed a basic degree from a country or political entity in which the official language is not English are required to submit official evidence of English language proficiency. This applies to institutions from Bangladesh, Burma, Nepal, India, Pakistan, Latin America, the Middle East, the People’s Republic of China, Taiwan, Japan, Korea, Southeast Asia, most European countries, and Quebec (Canada). However, applicants who, at the time of application, have already completed at least one year of full-time academic course work with grades of B or better at a US university may submit an official transcript from the US university to fulfill this requirement. The following courses will not fulfill this requirement:
-
courses in English as a Second Language,
-
courses conducted in a language other than English,
-
courses that will be completed after the application is submitted, and
-
courses of a non-academic nature.
-
Applicants who have previously applied to Berkeley must also submit new test scores that meet the current minimum requirement from one of the standardized tests. Official TOEFL score reports must be sent directly from Educational Test Services (ETS). The institution code for Berkeley is 4833 for Graduate Organizations. Official IELTS score reports must be sent electronically from the testing center to University of California, Berkeley, Graduate Division, Sproul Hall, Rm 318 MC 5900, Berkeley, CA 94720. TOEFL and IELTS score reports are only valid for two years prior to beginning the graduate program at UC Berkeley. Note: score reports can not expire before the month of June.
Where to Apply
Visit the Berkeley Graduate Division application page.
Doctoral Degree Requirements
Normative Time Requirements
Normative Time to Advancement
Total normative time to advancement is 2-3 years.
Step I: This process normally takes 1 year (to take the entrance exam).
Step II: After passing the preliminary or entrance exam, students prepare for their PhD oral qualifying examination. This step lasts one to two years. With the successful passing of the orals, students are advanced to candidacy for the PhD degree.
Normative Time in Candidacy
Step III: Students undertake research for the PhD dissertation under a three-person committee in charge of their research and dissertation. The students then write a dissertation based on the results of this research. On completion of the research, workshops, and approval of the dissertation by the committee, the students are awarded the doctorate.
Total Normative Time
Total normative time is 5-6 years or 10-12 semesters.
Time to Advancement
Doctoral Entrance Exam
Every doctoral student is required to take the doctoral entrance examination. Students entering without an MS degree are required to complete all MS degree requirements and may do so by completing the MS course requirements and passing the doctoral entrance exam.
The entrance examination consists of three parts:
- An optimization exam: Students are required to take IND ENG 262A and at least one other course in Group A (see below) to be prepared for this exam.
- A stochastic processes exam: Students are required to take IND ENG 263A and at least one other course in Group B (see below) to be prepared for this exam.
- An exam on modeling and applied operations research: Students are required to take two courses in Group C (see below to be prepared for this exam.
All required courses for the doctoral entrance examination must be taken for a letter grade.
The entrance examination will be offered near the end of every spring semester, approximately one week before finals. Passing the entrance examination is based on both superior performances on all parts of the exam, and on previous coursework. Students are required to take the entire exam at the same time. In order to take the exam, students are expected to perform sufficiently well in their first-year courses. During the middle of the spring semester, a faculty committee will review the performance of first-year doctoral students, and students who have performed sufficiently well on their coursework (so that a superior performance on all parts of the exam will lead to passing) will be permitted to take the exam.
All students who would like to be considered for the doctoral program are expected to take this exam no later than their third semester in this department. In particular, students who enter in the fall are expected to take the exam at the end of the spring semester in the same academic year.
Curriculum
Advanced undergraduate courses in linear algebra (equivalent to MATH 110) are prerequisites for the PhD program. Students who have not taken these courses prior to entering the graduate program are required to do so during their first year.
Some students have specific research interests and goals when they enter a doctoral program; for others, these interests develop in the process of taking courses and preparing for the entrance examination. In either case, it is imperative that students begin their research as soon as possible after completing their entrance examination. One of the important initial steps in this process is finding a faculty member who will agree to supervise the dissertation (thesis advisor). Every student is required to complete at least one unit of independent study with a faculty member each semester after passing the entrance examination until finding a thesis adviser.
A minimum of nine graduate courses is required in the major, including those taken prior to the entrance examination. Usually, these are courses taken in this department, but to a very limited extent, courses taken in other departments or at other institutions may be counted as part of this requirement. These courses should provide depth in the student's probable research area.
In addition, course work is required in two minor areas. This is a College of Engineering requirement, which specifies that two or three courses (of advanced undergraduate or graduate level) typically represent a minimum program for a minor. This loose wording reflects the diverse needs of the College. In this department, each minor must consist of six units at the graduate level, at least three of which must be taken for a letter grade. A minor may serve either to strengthen theoretical foundations (e.g., measure-theoretic probability theory), or as an area of application (e.g., transportation). At most one course of one minor can be a course from within this department, as long as this course is distinct from the major. Both minors should be selected to strengthen the student's background in his or her research area, and subject to the approval of the head graduate adviser. Graduate courses at other institutions may make up part of a minor if the subject matter is appropriate.
The thesis advisor, once known, should be consulted about all matters regarding the program of study.
Coursework is comprised of an approved study list based on the student’s research interest, which must include the following:
| Code | Title | Units |
|---|---|---|
| IND ENG 262A | Mathematical Programming I | 4 |
| IND ENG 263A | Applied Stochastic Process I | 4 |
| IND ENG 298 | Group Studies, Seminars, or Group Research | 1 |
| Group A: Optimization: Select a minimum of one of the following: | 3 | |
| Mathematical Programming II [3] | ||
| Computational Optimization [3] | ||
| Network Flows and Graphs [3] | ||
| Integer Programming and Combinatorial Optimization [3] | ||
| Group B : Stochastic Modeling: Select a minimum of one of the following: | 3 | |
| Introduction to Data Modeling, Statistics, and System Simulation [3] | ||
| Experimenting with Simulated Systems [3] | ||
| Applied Stochastic Process II [3] | ||
| Queueing Theory [3] | ||
| Applied Dynamic Programming [3] | ||
| Group C: Modeling and Applied Operations Research: Select a minimum of two of the following: 1 | 6 | |
| Analysis and Design of Databases [3] | ||
| Economics and Dynamics of Production [3] | ||
| Introduction to Financial Engineering [3] | ||
| Introduction to Production Planning and Logistics Models [3] | ||
| Facilities Design and Logistics [3] | ||
| Supply Chain Operation and Management [3] | ||
| Production and Inventory Systems [3] | ||
| Learning and Optimization [3] | ||
| Applied Dynamic Programming [3] | ||
- 1
In addition to the courses listed here, many occasionally-offered 290 series courses fit into this category, such as IND ENG 290A (Dynamic Production Theory and Planning Models) and IND ENG 290R (Topics in Risk Theory; check with the head graduate advisor about specific courses which may be approved.
Foreign Language(s)
In addition to English, the program does not require another language.
Qualifying Examination (QE)
The Qualifying Examination is an oral examination with a written component administered by four faculty members. Three of these faculty members are required to be IEOR faculty members and the fourth faculty member must be from another department with expertise in one of the student’s minor areas of study. Students are expected to take the Qualifying Examination within three semesters after passing the Doctoral Entrance Exam. Priority in department funding (especially NRTs) will be given to students who have passed their Doctoral Entrance Exams and are in their 3rd, 4th, and 5th semesters. Although it is necessary for a student to identify a potential research area and some potential dissertation topics in order to complete this exam, it is not necessary for the student to do a substantial amount of research in the area of the examination.
The student is required to have completed or be currently enrolled in courses that will complete at least one of the two minors at the time of the Qualifying Examination. At least one of the minors completed or being completed at the time of the Examination must consist entirely of courses from outside the department. In addition, at the time of the Qualifying Examination, the student is required to have a specific plan for completing the other minor within two semesters.
Prior to the exam, the student is required to identify a research area (broadly defined) in which he or she will be able to demonstrate expertise during the oral part of the examination. In addition, the student must be prepared to demonstrate expertise in one minor field. The objective of the exam is to assess the student’s ability to demonstrate knowledge in a broad research area, and to identify potential research topics within this area.
At least six weeks prior to the approximate date of the Qualifying Examination, the student needs to begin to arrange for Graduate Division approval of the exam committee. The application form is available in your CalCentral under “Student Resources” and “Submit a Form”. Select “Higher Degree Committees Form”. Once the date and the exam committee are decided upon, the student must also request a room in which the exam can be held. Meanwhile, the student should prepare a list of topics, called a syllabus, which will form the basis of the Exam. The syllabus should include topics from the three subject areas to be listed on the "Application for Qualifying Examination" form, i.e., equivalent to several courses, together with topics from one of the minor areas.
At least one month before the exam date, the student must also prepare and submit the following documents to Head Graduate Advisor: a white Program of Study card that includes all major and minor courses taken or planned (whether or not they are included in the syllabus), a transcript, a list of faculty members who will serve on the exam committee, a syllabus, a preliminary draft of the technical report for the exam committee, and the student’s advisor’s signature to approve the intended date and topics. Both the Graduate Division's "Application for Qualifying Examination" form and the Program of Study card must be approved and signed by the Head Graduate Advisor.
At least two weeks prior to the exam, the student must submit his or her Qualifying Exam Report, to the qualifying exam committee. This report should be in the form of a research proposal, and should include both a substantial survey and critical evaluation of the literature in the likely area of the dissertation, and a potential research agenda in this area. If the student has completed preliminary research in this area, it is also appropriate to include a report of this research in this document. However, preliminary results are not required, and cannot make up the bulk of the document.
The Qualifying Exam document will be reviewed by the three professors who represent the major on the student’s Qualifying Examination Committee, to determine adequacy of preparation for the research area. For students who follow these guidelines and the recommendations of the Graduate Adviser and Thesis Adviser, this usually results in quick approval. However, if preparation is judged to be inadequate, they may recommend additional course work and postponement of this Examination.
In many departments, including IEOR, it has been the practice for students to schedule their own Qualifying Examinations. This exam is to be scheduled for three hours, at a time when all Committee members can attend.
The oral portion of the Qualifying Examination has two parts. In the first part, the student presents a 45-minute talk based on his or her Qualifying Examination Report. The Committee will ask questions pertaining to the report and presentation at this time. During the second part of the oral examination, the committee will ask more general questions to determine the student’s level of expertise in the broadly defined research area specified by the student (and described in the syllabus). During this time, the outside committee member will also ask questions about one of the student’s minor areas.
If the student's performance is judged to be unsatisfactory, the Committee may recommend reexamination, possibly after additional preparation has been completed. If the reasons for the unsatisfactory performance are judged to be major and fundamental, the Committee may recommend that a second attempt be denied.
Time in Candidacy
Advancement
After passing the qualifying examination, the student should file an application for advancement to candidacy in CalCentral, which sets up a three-person guidance committee for the dissertation. Once this is approved, the student is eligible for reduced fees. After advancing to candidacy, the student is expected to spend full time doing research on his or her dissertation, and on related teaching tasks.
Required Professional Development
Teaching Opportunities
The Department of IEOR strives to provide every student with an opportunity to gain teaching experience. Every year, students work as teaching assistants responsible for discussion or laboratory sections (Graduate Student Instructors, or GSIs) and serve as readers assisting with grading but not conducting independent teaching.
Professional Conference Attendance
Workshops
At least once a year after passing the qualifying examination, the student is required to hold a dissertation workshop. A form signed by the committee chair must be submitted to the student services office annually. Each dissertation workshop has two primary objectives:
- It provides the department an opportunity to review the progress of students who have passed the qualifying examination, toward completion of their doctoral dissertation.
- It facilitates interaction between the student and the dissertation committee and provides the basis for useful and consistent guidance. While the dissertation committee is primarily responsible for providing guidance, feedback from other faculty and from students is sought as well.
During the workshop, the candidate is expected to present a prospective of, and results from, the dissertation research. Dissertation advisers should advise students about the appropriate time for the workshops. However, initiation of the workshops is the student's responsibility. The student needs to notify the department at least one month in advance of the desired workshop date, and coordinate this date with the dissertation committee. At least two weeks prior to each workshop, the student shall distribute to the dissertation committee a report called the dissertation prospectus. Announcement of the workshop will be made through all the channels used to announce departmental seminars.
Each workshop is divided into two parts. The first part is devoted to a public presentation by the student and subsequent discussion. This part is conducted as a seminar and is open to all faculty and students. Graduate students and faculty who have research interests that relate to the workshop are encouraged to attend; this may be their best opportunity to provide constructive feedback to the candidate. (Graduate students who have not yet reached this stage in their own program often find that participating in workshops is a valuable educational experience.) The dissertation committee moderates the presentation and discussion, controls the asking of questions by the audience, and calls an end to the first part of the workshop.
In the second part of the workshop, which immediately follows the public presentation, the dissertation committee and other interested faculty members will reconvene in private with the candidate for the purpose of giving more feedback and specific guidelines for continuing research. At this time, the committee may decide that the candidate's progress is unsatisfactory. Should the committee reach this conclusion, it will be reported in writing, with proper justification, to the candidate and the department chair. The committee may require an additional workshop sooner than one year after the unsatisfactory one. Recurrent failure to present a satisfactory prospectus workshop may result in the disqualification of the student and termination of doctoral candidacy.
Dissertation Defense Workshop
Once the candidate has completed his or her research and completely written the thesis, a defense workshop must be scheduled and held. A completed copy of the thesis must be distributed to the committee at least two weeks before this final workshop. This workshop will follow the same format as other workshops. The committee will inform the candidate about any remaining problems or issues with the thesis. If the committee has serious issues with the thesis, it may require an additional defense workshop. A form signed by the student's committee chair must be submitted to the Student Services Office immediately after the workshop.
Master's Degree Requirements (MS)
Unit Requirements
Students are required to complete 24 semester units of upper division and graduate coursework, 12 units of which must be graduate courses in the major taken for a letter grade. IND ENG 298 units do not count towards this requirement.
Curriculum
All students are required to take 1 unit of IND ENG 298; at least one course each from the following categories: Optimization, Stochastic Models, and Modeling (see below); and additional courses.
Beyond these requirements, the program is quite flexible. No more than two units of IND ENG 299 may be counted toward the degree. The remainder of the program can include electives outside the department. Entering students are expected to have two years of undergraduate mathematics, primarily calculus but including linear algebra. In addition, they are expected to have completed at least one semester each of upper division courses in probability and in statistics. They should also have competency in a scientific programming language.
The requirements for each concentration follow the course lists for the three categories, below.
| Code | Title | Units |
|---|---|---|
| Optimization courses | ||
| IND ENG 160 | Nonlinear and Discrete Optimization | 3 |
| IND ENG 162 | Linear Programming and Network Flows | 3 |
| IND ENG 262A | Mathematical Programming I | 4 |
| or EL ENG C227T | Introduction to Convex Optimization | |
| IND ENG 262B | Mathematical Programming II | 3 |
| IND ENG 266 | Network Flows and Graphs | 3 |
| IND ENG 269 | Integer Programming and Combinatorial Optimization | 3 |
| Code | Title | Units |
|---|---|---|
| Stochastic Models courses | ||
| IND ENG 165 | Engineering Statistics, Quality Control, and Forecasting | 4 |
| IND ENG 166 | Decision Analytics | 3 |
| IND ENG 173 | Introduction to Stochastic Processes 1 | 3 |
| IND ENG 231 | Introduction to Data Modeling, Statistics, and System Simulation | 3 |
| IND ENG 261 | Experimenting with Simulated Systems | 3 |
| IND ENG 263A | Applied Stochastic Process I | 4 |
| IND ENG 263B | Applied Stochastic Process II | 3 |
| IND ENG 267 | Queueing Theory | 3 |
| Code | Title | Units |
|---|---|---|
| Modeling courses | ||
| IND ENG 150 | Production Systems Analysis | 3 |
| IND ENG 153 | Logistics Network Design and Supply Chain Management | 3 |
| IND ENG 215 | Analysis and Design of Databases | 3 |
| IND ENG 220 | Economics and Dynamics of Production | 3 |
| IND ENG 221 | Introduction to Financial Engineering | 3 |
| IND ENG 250 | Introduction to Production Planning and Logistics Models | 3 |
| IND ENG 251 | Facilities Design and Logistics | 3 |
| IND ENG 253 | Supply Chain Operation and Management | 3 |
| IND ENG 254 | Production and Inventory Systems | 3 |
| IND ENG 265 | Learning and Optimization | 3 |
| IND ENG 268 | Applied Dynamic Programming | 3 |
| IND ENG 290 | Special Topics in Industrial Engineering and Operation Research (With approval of advisor) | 2-3 |
- 1
IND ENG 173 replaced IND ENG 161. Student will receive no credit for IND ENG 173 after taking IND ENG 161.
Course Requirements by Concentration
Operations Research Concentration
| Code | Title | Units |
|---|---|---|
| IND ENG 262A | Mathematical Programming I (fulfills Optimization requirement) | 4 |
| IND ENG 263A | Applied Stochastic Process I (fulfills Stochastic Models requirement) | 4 |
| IND ENG 298 | Group Studies, Seminars, or Group Research | 1 |
| Select two from the following (at least one must be a Modeling course): | ||
| Introduction to Financial Engineering [3] | ||
| Experimenting with Simulated Systems [3] | ||
| Mathematical Programming II [3] | ||
| Applied Stochastic Process II [3] | ||
| Computational Optimization [3] | ||
| Network Flows and Graphs [3] | ||
| Queueing Theory [3] | ||
| Applied Dynamic Programming [3] | ||
| Integer Programming and Combinatorial Optimization [3] | ||
Production & Service Operations Concentration
When selecting options below, please be sure to select at least one course from each category: Optimization, Stochastic Models, and Modeling (see above).
| Code | Title | Units |
|---|---|---|
| IND ENG 298 | Group Studies, Seminars, or Group Research | 1 |
| Select two of the following: | ||
| Introduction to Production Planning and Logistics Models [3] | ||
| Facilities Design and Logistics [3] | ||
| Production and Inventory Systems [3] | ||
| Select one of the following: | ||
| Production Systems Analysis [3] | ||
| Service Operations Design and Analysis [3] | ||
| Logistics Network Design and Supply Chain Management [3] | ||
| Select one of the following: | ||
| Methods of Manufacturing Improvement [3] | ||
| Production Systems Analysis [3] (if not select above) | ||
| Service Operations Design and Analysis [3] (if not selected above) | ||
| Logistics Network Design and Supply Chain Management [3] (if not selected above) | ||
| Engineering Statistics, Quality Control, and Forecasting [4] | ||
Simulation & Decision Technology Concentration
| Code | Title | Units |
|---|---|---|
| IND ENG 115 | Industrial and Commercial Data Systems (fulfills Modeling requirement) | 3 |
| or IND ENG 215 | Analysis and Design of Databases | |
| IND ENG 261 | Experimenting with Simulated Systems (fulfills Stochastic Models requirement) | 3 |
| IND ENG 298 | Group Studies, Seminars, or Group Research | 1 |
| Select two of the following (one must be from the Optimization category): | ||
| Decision Analytics [3] | ||
| Mathematical Programming I [4] | ||
or EL ENG C227T | Introduction to Convex Optimization | |
| Special Topics in Operations and Information Technology Management [1-4] | ||
Financial Systems Concentration
| Code | Title | Units |
|---|---|---|
| IND ENG 221 | Introduction to Financial Engineering (fulfills Modeling requirement) | 3 |
| IND ENG 222 | Financial Engineering Systems I | 3 |
| IND ENG 223 | Financial Engineering Systems II | 3 |
| IND ENG 298 | Group Studies, Seminars, or Group Research | 1 |
Master of Science Thesis (Plan 1)
Students may complete the requirements by writing a thesis, rather than taking a comprehensive examination. The course requirements under the thesis option are the same as under the comprehensive option. Under the thesis option, the minimum unit requirement of regular course work is 20 units, not including the thesis. A committee of three professors, including one from outside the IEOR Department, will be formed to guide and approve the thesis.
The Comprehensive Exam or Project (Plan 2)
In addition to course and waiver exam requirements, students are required to complete one of two options: a comprehensive exam or a master's project and oral presentation of this project. The structure of the comprehensive exam may vary from year to year but is designed so that students whose curriculum includes 12 units of graduate courses in the major and satisfies the group distribution listed above should be prepared to take the exam. At the current time, the comprehensive exam consists of a short oral presentation to a panel of two or three faculty of a solution to a case study, for which the students will be given at least two weeks to prepare, followed by relevant questions from the faculty panel.
Relation to Doctoral Requirements
In general, the first year doctoral requirements meet the requirements of the MS degree, but the reverse is not necessarily true. Students who are interested in earning a PhD should apply to enter the MS/PhD if they do not yet have an MS degree. More detailed information on the entrance exam may be found on the Doctoral Degree Requirements tab.
Master's Degree Requirements (MEng)
Unit Requirements
Minimum number of units to complete degree: 25 semester units.
Curriculum
Technical Course work (must be taken for a letter grade):
- Core Courses: All students are required to take IND ENG 240 and IND ENG 241. Students in the FinTech and IPES programs are also required to take IND ENG 242.
- Technical Electives: Students must complete a minimum of 6 units of IND ENG 200 level technical electives for letter grades from the lists below. FinTech students must select two of the following: IND ENG 221, IND ENG 222, IND ENG 223 , IND ENG 224. IP & Entrepreneurship Strategy students must take IND ENG 242 and one additional approved INDENG 200+ course, plus two business courses, ENGIN 273 and ENGIN 274
Leadership Courses (must be taken for a letter grade)
- All students must complete 8 semester units of core leadership courses, which must be in the 200-series.
- The Innovation Lecture Series (IND ENG 295 taken S/U), is optional.
Capstone Project Courses:
- Students must take the capstone integration course each semester.
- All students must complete 5 units of capstone courses: 2 units in the fall semester and 3 units in the spring semester (see the course lists below).
Required Technical Courses
| Code | Title | Units |
|---|---|---|
| IND ENG 240 | Optimization Analytics | 3 |
| IND ENG 241 | Risk Modeling, Simulation, and Data Analysis | 3 |
Technical Electives
| Code | Title | Units |
|---|---|---|
| IND ENG 221 | Introduction to Financial Engineering | 3 |
| IND ENG 222 | Financial Engineering Systems I | 3 |
| IND ENG 223 | Financial Engineering Systems II | 3 |
| IND ENG 224 | Portfolio and Risk Analytics | 3 |
| IND ENG C227B | Convex Optimization and Approximation | 3 |
| IND ENG 242 | Applications in Data Analysis | 3 |
| IND ENG 250 | Introduction to Production Planning and Logistics Models | 3 |
| IND ENG C253 | Supply Chain and Logistics Management | 3 |
| IND ENG 262A | Mathematical Programming I | 4 |
| IND ENG 262B | Mathematical Programming II | 3 |
| IND ENG 263A | Applied Stochastic Process I | 4 |
| IND ENG 263B | Applied Stochastic Process II | 3 |
| IND ENG 265 | Learning and Optimization | 3 |
| IND ENG 266 | Network Flows and Graphs | 3 |
| IND ENG 267 | Queueing Theory | 3 |
| IND ENG 290 | Special Topics in Industrial Engineering and Operation Research ( (Fundamentals of Machine Learning & Data Analytics)) | 2-3 |
Required Leadership Courses
| Code | Title | Units |
|---|---|---|
| ENGIN 270A | Organizational Behavior for Engineers | 1 |
| ENGIN 270B | R&D Technology Management & Ethics | 1 |
| ENGIN 270C | Teaming & Project Management | 1 |
| ENGIN 295 | Communications for Engineering Leaders | 1 |
Required Capstone Courses
| Code | Title | Units |
|---|---|---|
| ENGIN 296MA | Master of Engineering Capstone Project (Fall) | 2 |
| ENGIN 296MB | Master of Engineering Capstone Project (Spring) | 3 |
Master of Analytics (MAnalytics)
Unit Requirements
Minimum number of units to complete degree: 29-semester units.
Curriculum
Python camp
All students are encouraged to take a Python boot camp (50 hrs in August) in preparation for the technical coursework. The Python boot camp is a 0-unit course offered in August leading up to the program's start.
Technical Course work (must be taken for a letter grade):
| Code | Title | Units |
|---|---|---|
| Core Analytical Methods Courses | ||
| IND ENG 215 | Analysis and Design of Databases | 3 |
| IND ENG 240 | Optimization Analytics | 3 |
| IND ENG 241 | Risk Modeling, Simulation, and Data Analysis | 3 |
| IND ENG 242 | Applications in Data Analysis | 3 |
| IND ENG 243 | Analytics Lab | 4 |
Elective Specialty Courses
| Code | Title | Units |
|---|---|---|
| Students must complete a minimum of 9 units of IND ENG 200 level technical electives for letter grades from the lists below: | ||
| IND ENG 220 | Economics and Dynamics of Production | 3 |
| IND ENG 221 | Introduction to Financial Engineering | 3 |
| IND ENG 222 | Financial Engineering Systems I | 3 |
| IND ENG 223 | Financial Engineering Systems II | 3 |
| IND ENG 224 | Portfolio and Risk Analytics | 3 |
| IND ENG 250 | Introduction to Production Planning and Logistics Models | 3 |
| IND ENG 251 | Facilities Design and Logistics | 3 |
| IND ENG 252 | Service Operations Management | 3 |
| IND ENG 253 | Supply Chain Operation and Management | 3 |
| IND ENG 254 | Production and Inventory Systems | 3 |
| IND ENG 265 | Learning and Optimization | 3 |
| IND ENG 266 | Network Flows and Graphs | 3 |
| IND ENG 299 | Individual Study or Research | 1-12 |
Summer Internship:
All students must complete four units of the summer internship (individual study) course (10 weeks in May-July) during the final summer semester.
| Code | Title | Units |
|---|---|---|
| IND ENG 299 | Individual Study or Research | 1-12 |
Contact Information
Department of Industrial Engineering and Operations Research
4141 Etcheverry Hall
Phone: 510-642-5484
Head Graduate Advisor
Dorit S. Hochbaum
4181 Etcheverry Hall
Phone: 510-642-4998
MEng Graduate Student Affairs Officer
Yerdua (Yeri) Caesar-Kaptoech
4137 Etcheverry Hall
Phone: 510- 642-7983