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The USC Master of Science in Engineering Management (MSEMT) program is designed for students with undergraduate degrees in engineering or related sciences to prepare them for management responsibilities. As an MSEMT student, you will learn how to lead technology projects as well as manage teams, engineering functions, and companies. In addition, you will gain an understanding of the economic decision making processes. More than just theory, the MSEMT program offers real world examples provided by instructors who have years of relevant industry experience, covering topics such as technology creation, management of invention, information systems, managerial accounting, and quantitative methods. This is also a suitable program to help prospective technical entrepreneurs understand the enterprise creation process.
- Bachelor of Science degree in engineering or the equivalent with undergraduate coursework in engineering economy.
- Cumulative undergraduate GPA of at least 3.0 on a 4.0 scale.
- Scores of at least 700 for the quantitative portion and 500 for the verbal portion of the GRE general test.
- Statement of Purpose
- Three letters of Recommendation (not required, but highly recommended)
- International students whose native language is not English must earn a satisfactory score on the TOEFL (600 on the paper-based test; 250 on the computer-based test) or take the on-campus International Student English Examination (ISE) prior to initial registration.
DEFICIENCY COURSES
Admitted students who do not meet the coursework requirements will be assigned courses to complete the deficiencies. Undergraduate coursework in engineering economy is a program prerequisite, which can be satisfied after admission by completing ISE 460, if necessary.
A minimum of 30 units is required for the M.S. in Engineering Management degree.
- Minimum number of units in the ISE department: 18 units
- Minimum number of units at the 500 level or above:18 units
- At least one course from each of the seven areas listed below (under "Course Descriptions"): 21 units
- Elective courses from specialization tracks: 9 units. Please consult and receive approval from an Industrial and Systems Engineering graduate advisor before enrolling in elective courses.
- A minimum cumulative GPA of 3.0 is required for graduation
Deficiency Course Descriptions
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ISE460 - Engineering Economy
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3
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Units: 3
Course Description: Utilizing principles of economic analysis for choice of engineering alternatives and engineering systems. Pre-tax and after-tax economy studies. Upper division standing.
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Accounting Courses Choose one
Project and Teams Courses Choose one
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ISE515 - Engineering Project Management
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3
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Units: 3
Course Description: Applying industrial and systems engineering skills to problems drawn from industry, while working in teams of 3-4 students. Teach project management skills and provide direct experience in managing and executing a group project.
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ISE544 - Management of Engineering Teams
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3
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Units: 3
Course Description: Design and management of engineering teams. Group decision-making, motivation, leadership, infrastructural requirements, performance measurement, team diversity, conflict, and integration.
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Technology Courses Choose one
Information Systems Choose one
Engineering Economy Choose one
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ISE561 - Economic Analysis of Engineering Projects
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3
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Units: 3
Course Description: Economic evaluations of engineering systems for both government and private industry; quantitative techniques for evaluating non-monetary consequences; formal treatment of risk and uncertainty. Prerequisite: ISE 460.
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ISE562 - Value and Decision Theory
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3
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Units: 3
Course Description: Decision making under risk conditions; utility theory; sufficient statistics; conjugate prior distributions; terminal and pre-posterior analysis; Bayesian statistics versus classical statistics.
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ISE563 - Financial Engineering
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3
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Units: 3
Course Description: A quantitative introduction to the concepts and techniques that are useful in economic analyses of engineering projects. Covered topics include: Interest rates and present value analysis; Rate of returns; Arbitrage and its use in pricing; The Arbitrage Theorem and its applications; Geometric Brownian motion; Option pricing theory; Optimization models in financial engineering; Solving optimization models by dynamic programming; Value at risk calculations; Pricing by expected utility; Simulation analysis. A prerequisite course in probability is required. The course involves novel concepts as well as mathematical derivations.
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Enterprises Choose one
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ISE507 - Six Sigma for Health Care
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3
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Units: 3
Course Description: This course presents Six Sigma and Lean metrics, methods and systems with emphasis on their application to Health Care services.
The course will comprise interactive classroom lectures, text and special topic reading, individual research, homework assignments and team presentations.
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ISE508 - Health Care Operations Improvement
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3
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Units: 3
Course Description: Hospital productivity is critical to cost-effective health care. The course covers topics in improving operations, such as patient flow, quality (concepts and mechanics) and process improvement. Students will become familiar with methods and resources for implementing change in a health care setting, such as a hospital or clinic.
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ISE517 - Modern Enterprise Systems
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3
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Units: 3
Course Description: Study of various aspects of integrated manufacturing and service enterprises including management, design and production functions, interfaces and related resources and information systems. Recommended preparation: manufacturing processes, probability, statistics, computer programming.
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ISE527 - Quality Management for Engineers
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3
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Units: 3
Course Description: Principles of quality management, quality philosophies and frameworks, quality leadership and strategic planning, process management, and performance measurements.
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SAE550 - Engineering Management of Government-Funded Programs
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3
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Units: 3
Course Description: Analysis of risks inherent in managing high-tech/high-cost government-funded engineering programs; tools and techniques for coping with the impacts of politically-driven budgets on the engineering design process. Recommended preparation: two years of work experience. This course is offered every other semester.
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SAE551 - Lean Operations
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3
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Units: 3
Course Description: Study of lean principles and practices as applied to automotive, aerospace and other industries.
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Quanitative Methods Choose one
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ISE514 - Advanced Production Planning and Scheduling
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3
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Units: 3
Course Description: Advanced concepts in production planning and scheduling including resource allocation, lot sizing, flow shop and job shop scheduling, workforce scheduling and assembly line balancing. Recommended preparation: prior knowledge of operations research and probability theory.
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ISE525 - Design of Experiments
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3
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Units: 3
Course Description: Planning data collection to investigate relationships between product/process design choices (materials, temperatures, etc.) and performance, empirical modeling to predict performance, identification of the best design choices. Recommended preparation: ISE 225.
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ISE530 - Introduction to Operations Research
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3
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Units: 3
Course Description: Linear programming, integer programming, transportation and assignment problems, networks, dynamic programming, Markovian models, and queueing. Prerequisite: MATH 225, ISE 220.
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ISE536 - Linear Programming and Extensions
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3
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Units: 3
Course Description: Linear programming models for resource allocation; simplex and revised simplex methods; duality; sensitivity; transportation problems; selected extensions to large scale, multiobjective, and special structured models. Prerequisite: MATH 225 or EE 441 or departmental approval.
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ISE538 - Elements of Stochastic Processes
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3
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| ISE580 - Advanced Concepts in Computer Simulation |
3 |
Units: 3
Course Description: Random variables, stochastic processes, birth-and-death processes, continuous and discrete time Markov chains with finite and infinite number of states, renewal phenomena, queueing systems.
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Elective Courses (9 units) Three courses are chosen from specialization tracks with the consent of the advisor, including:
--Information Systems
--Software Engineering
--Systems Engineering
--Consult with advisor to determine other specialization tracks.
Please note that the courses listed above are those available via DEN. Additional courses are available on campus. Please consult the department website for a complete list of options.
In order to evaluate any application for admission, application materials must be submitted by the deadlines listed:
June 15th Fall admission (Domestic)
March 15th Fall admission (International)
September 1st Spring admission
January 15th Summer admission
Please fill out the application and submit the following to the USC Office of Graduate Admission via the online application system by clicking here.
- Statement of Purpose
- The statement of purpose should describe succinctly your reasons for applying to the proposed program at the Viterbi School of Engineering, your preparation for this field of study, study interests, future career plans, and other aspects of your background and interests which may aid the admissions committee in evaluating your aptitude and motivation for graduate study.
- Three Letters of Recommendation
- Letters of recommendation should be from faculty or others (supervisors, professional colleagues, etc.) qualified to evaluate your potential for graduate study. They should be written on official letterhead.
Please arrange to have the following sent to the USC Office of Admission as a hard copy (USC Graduate Office of Admission, University Park Campus, Los Angeles, CA 90089-0915):
- Official Transcript(s) from all post-secondary schools you have attended, and official translations if they are not in English.
- General GRE scores (no older than 5 years). Official scores must be sent through ETS to the University of Southern California, ETS code 4852)
- TOEFL scores (required for international students)
NOTE: If you meet our minimum qualifications, you can get started BEFORE you are formally admitted to USC, as a "LIMITED" student! Click here for more information.
For the USC Engineering Management Department:
Mary Ordaz
Student Services Advisor
Industrial and Systems Engineering, GER 245
Tel: (213) 740-4886
Fax: (213) 740 1120
Email: mordaz@usc.edu
Dr. Stan Settles
IBM Chair in Engineering Management, Director of Systems Architecture and Engineering Program, and Professor of Industrial and Systems Engineering
Epstein Department of Industrial & Systems Engineering
Tel: (213) 740-0263
Email: settles@usc.edu
For the USC Distance Education Network (DEN):
Ray Fujioka
Master's & Professional Programs [MAPP]
Tel: (213) 740-4488
Fax: (213) 821-0851
Email: info@den.usc.edu
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