The request to revise the Master of Science in Engineering Management

Date: March 6, 2014
To: College of Engineering
From: Office of Academic Affairs
Approved On: February 18, 2014
Approved by: Graduate Council
Implementation Date: Summer 2014

Note: Deletions are strikethroughs. Insertions are underlined.

Catalog Copy

2013-2014 Graduate Catalog

Department of Systems Engineering and Engineering Management

seem.uncc.edu

Graduate Program Director

Dr. Ertunga C. Ozelkan

Dr. Tao Hong

Graduate Faculty

Badrul Chowdhury, Professor

Alfred D’Ambrosio, Adjunct Professor

Tao Hong, Assistant Professor and Graduate Program Director

Churlzu Lim, Associate Professor

Mike Ogle, Assistant Professor and Undergraduate Program Director

Agnes Galambosi Ozelkan, Adjunct Professor

Ertunga C. Ozelkan, Associate Professor and Director Interim Department Chair

Srijib Mukherjee, Adjunct Professor

Yesim Sireli, Associate Professor

S. Gary Teng, Professor

Master of Science in Engineering Management

The Master of Science Degree in Engineering Management program prepares professionals for careers in managing projects, programs, systems, and organizations. Industrial, research, consulting, and commercial firms now demand engineering managers with both cutting-edge technical competence and the management skills necessary to forge linkages with the systems and business sides of these organizations. These managers must be able to form and manage high performance teams and manage business and technological operations. The program of study is necessarily multidisciplinary, combining elements of advanced study in various engineering disciplines with studies of business and system operations and organizational behavior.

Additional Admission Requirements

In addition to the general requirements for admission to the Graduate School, the Engineering Management program seeks the following from applicants to the M.S. in Engineering Management program:

  1. Either a bachelor’s degree in engineering or a closely related technical or scientific field, or a bachelor’s degree in business, provided relevant technical course requirements have been met
  2. Undergraduate coursework in engineering economics, calculus, or statistics
  3. An average grade of 3.0 (out of 4)
  4. GRE or GMAT.

GRE Waiver conditions:

  1. GRE is waived for applicants with more than 2 years of relevant industry experience and a bachelor’s degree in engineering from a US ABET accredited school.
  2. GRE is waived from applicants who have completed an SEEM Graduate Certificate Program with a GPA of 3.6 or higher.

Documents to be Submitted for Admission

  1. Transcript(s) showing a baccalaureate degree in engineering, engineering technology, or a scientific discipline, or a baccalaureate degree in business administration from an accredited college or university
  2. A satisfactory score on the General Test of the GRE or GMAT
  3. Written descriptions of any relevant and significant work experience
  4. Applicants whose native language is not English, will need to satisfy the UNC Charlotte Graduate School’s English proficiency requirements.
  5. If the applicant’s native language is not English, an overall score of 575 (paper-based test), 230 (computer-based test), or 90 (Internet-based test) in the Test of English as a Foreign Language (TOEFL)

Early-Entry Program

Undergraduate students with a GPA of 3.2 or above and with at least 75 semester hours completed toward a baccalaureate degree in Civil, Electrical, Mechanical, or Systems Engineering, or Engineering Technology at UNC Charlotte may be admitted to the M.S. in Engineering Management program as an Early-Entry student provided they meet all other requirement of admission except the first item of the admission requirements.

Entry From the SEEM Graduate Certificate Programs

SEEM Graduate certificate students can apply for admission for the MSEM Program. They will be eligible to transfer their graduate certificate course credits if they received a B or above. GRE will be waived for students who graduated from the SEEM Graduate Certificate Program with a GPA 3.6 or higher.

Degree Requirements

Thirty semester hours of approved graduate work within one of two options:

Option 1

Successful completion of 30 semester hours of graduate-level coursework.

Option 2

Successful completion of 24 semester hours of graduate-level coursework and 6 hours of thesis research.

The curriculum consists of six core courses and four additional courses (or two courses with the thesis option) selected from an approved list of electives. Students are expected to complete a Plan of Study that identifies a concentration such as Energy Systems, Systems Engineering, Lean Six Sigma, or Logistics and Supply Chains.

Students who do not have the required background in fundamental concepts in engineering economics and/or statistics will be required to take the following course on top of the 30 credits required for an MSEM degree.

  • EMGT 6101 Engineering Management Fundamentals (Course credit does not count towards degree requirement)

Required Core Courses (12 hours)

  • EMGT 6980 Industrial and Technology Management Seminars (1) (EMGT students must earn three credits in this course, on-campus students need to register for 091, 092, and 093 sections sequentially, online students need to register 081, 082, and 083 sections sequentially)

Core A – Systems Management

One to two courses from the following:

  • EMGT 6142 Quality and Manufacturing Management (3)
  • EMGT 6901 Advanced Project Management (3)
  • EMGT 6904 Product and Process Design (3)
  • EMGT 6920 Logistics Engineering and Management (3)
  • EMGT 6924 Lean Six Sigma Practice and Management (3)
  • EMGT 6930 Capital Cost Estimating (3)
  • EMGT 6950 Engineering Systems Integration (3)
  • EMGT 6985 Engineering Management Project (3)

Core B – Systems Analytics

One to two courses from the following:

  • EMGT 6905 Designed Experimentation (3)
  • EMGT 6906 Processing Systems Simulation (3)
  • EMGT 6910 Technological Forecasting and Decision-Making (3)
  • EMGT 6912 Techniques and Intelligent Tools for Engineering Decision Support (3)
  • EMGT 6915 Engineering Decision and Risk Analysis (3)
  • EMGT 6952 Engineering Systems Optimization (3)
  • EMGT 6955 Systems Reliability Engineering (3)
  • EMGT 6965 Energy Analytics (3)

Concentrations (12 credits)

Systems Analytics Concentration

Four courses from the following:

  • EMGT 6905 Designed Experimentation (3)
  • EMGT 6906 Processing Systems Simulation (3)
  • EMGT 6910 Technological Forecasting and Decision-Making (3)
  • EMGT 6912 Techniques and Intelligent Tools for Engineering Decision Support (3)
  • EMGT 6915 Engineering Decision and Risk Analysis (3)
  • EMGT 6952 Engineering Systems Optimization (3)
  • EMGT 6955 Systems Reliability Engineering (3)
  • EMGT 6965 Energy Analytics (3)

Energy Systems Concentration

  • EMGT 5961 Introduction to Energy Systems (3)

Plus three of the following:

  • EMGT 5962 Energy Markets (3)
  • EMGT 5963 Energy Systems Planning (3)
  • EMGT 5964 Case Studies in the Energy Industry (3)
  • EMGT 6965 Energy Analytics (3)

Lean Six Sigma Concentration

  • EMGT 6905 Designed Experimentation (3)
  • EMGT 6924 Lean Six Sigma Practice and Management (3)
  • EMGT 6926 Lean Supply Networks (3)

Plus one of the following:

  • EMGT 6901 Advanced Project Management (3)
  • EMGT 6904 Product and Process Design (3)
  • EMGT 6142 Quality and Manufacturing Management (3)

Logistics and Supply Chains Concentration

  • EMGT 6920 Logistics Engineering and Management (3)
  • EMGT 6926 Lean Supply Networks (3)

Plus two of the following:

  • EMGT 5963 Energy Systems Planning (3)
  • EMGT 6142 Quality and Manufacturing Management (3)
  • MBAD 6193 Global Business Environment (3)
  • MBAD 6208 Supply Chain Management (3)

Note: Based on department approval, students may request to take other graduate courses related to their selected concentration. Students are responsible for fulfilling the prerequisites of the courses they plan to take from other graduate programs.

Interdisciplinary Elective Courses

Depending on the degree and concentration options selected, remaining credit hours may be filled by taking elective courses. Any course from the Engineering Management Program, including the ones below, may be taken as an elective course.

  • EMGT 5090 Special Topics (3)
  • EMGT 5150 Leadership For Engineers (3)
  • EMGT 5961 Introduction to Energy Systems (3)
  • EMGT 5962 Energy Markets (3)
  • EMGT 5963 Energy Systems Planning (3)
  • EMGT 5964 Case Studies in the Energy Industry (3)
  • EMGT 6090 Financial Management for Global Engineering Operations (3)
  • EMGT 6090 Special Topics (3)
  • EMGT 6142 Quality and Manufacturing Management (3)
  • EMGT 6901 Advanced Project Management (3)
  • EMGT 6902 Legal Issues in Engineering Management (3)
  • EMGT 6904 Product and Process Design (3)
  • EMGT 6905 Designed Experimentation (3)
  • EMGT 6906 Processing Systems Simulation (3)
  • EMGT 6910 Technological Forecasting and Decision-Making (3)
  • EMGT 6912 Techniques and Intelligent Tools for Engineering Decision Support (3)
  • EMGT 6915 Engineering Decision and Risk Analysis (3)
  • EMGT 6920 Logistics Engineering and Management (3)
  • EMGT 6924 Lean Six Sigma Practice and Management (3)
  • EMGT 6926 Lean Supply Networks (3)
  • EMGT 6930 Capital Cost Estimating (3)
  • EMGT 6950 Engineering Systems Integration (3)
  • EMGT 6952 Engineering Systems Optimization (3)
  • EMGT 6955 Systems Reliability Engineering (3)
  • EMGT 6965 Energy Analytics (3)
  • EMGT 6985 Engineering Management Project (3)

Two relevant graduate courses from other programs may be taken as elective courses for the engineering management degree with approval of the SEEM program. Courses completed from other departments as part of the M.S. concentrations count towards the two allowed electives. Students are responsible for fulfilling the prerequisites of the courses they plan to take from other graduate programs.

The following are recommended MBAD courses for electives:

  • MBAD 6141 Operations Management (3)
  • MBAD 6161 Human Behavior in Organizations (3)
  • MBAD 6164 Executive Communications (3)
  • MBAD 6195 Negotiation and Conflict Management (3)

Note: Students are required to have adequate preparation prior to taking the required MBAD (Master of Business Administration) courses. Traditionally, this consists of at least completing courses in engineering economics, foundations of economics, and mathematics through differential and integral calculus. Students are advantaged by having completed courses in foundations of accounting and statistics.

Admission to Candidacy Requirements

Each student is required to submit a Plan of Study to the Department’s Graduate Director. Upon completion of a substantial amount of the graduate work, each student must file an Admission to Candidacy form to the Graduate School by the filing date specified in the University Calendar.

Application for Degree

Students preparing to graduate must submit an online Application for Degree by the filing date specified in the University Calendar. If a student does not graduate in the semester identified on the Application for Degree, then the student must update his/her Admission to Candidacy and submit a new Application for Degree for graduation in a subsequent semester.

[Proposed Catalog Copy of Courses (Only affected course descriptions are listed below)]

EMGT 6101: Engineering Management Fundamentals. (3) The main objective of this course is to cover fundamental skills for engineering managers in the area of engineering economics, probability and statistical analysis. The students will utilize spreadsheet models and statistical packages to apply these skills in the analysis of engineering management problems. Course credit does not count towards MSEM degree requirement. (On demand)

EMGT 6965: Energy Analytics. (3) Pre-or corequisite: EMGT 5961, or SEGR 4961, or STAT 5123, or ECON 6113, or consent of the instructor. Other recommended courses are EMGT 5962 and EMGT 5963. Energy analytics is an interdisciplinary area applying techniques and methodologies of engineering management, economics, statistics and electrical engineering to solve real-world analytical problems in the energy industry. This course is designed for current and future analysts, operators, planners and their managers in the energy industry. It covers major energy related applications of descriptive, predictive and prescriptive analytics. The topics include energy data analysis, load forecasting, price forecasting, renewable generation forecasting, energy trading and risk management, demand response and customer analytics, and utilities outage analytics. (On demand)