Master of Science in Logistics Systems Engineering
Master of Science
Logistics Systems Engineering
Master of Science in Logistics Systems Engineering (MS-LSE) is an interdisciplinary program, which focuses on logistics, lean, quality, production, and healthcare systems. It prepares students for a variety of different positions by giving them the ability to design a system, component, or process to meet desired needs within the realistic constraints. Students seeking admission in this program must have a bachelor’s degree in any engineering, technology, applied sciences, business, and related academic disciplines.
U.S. and International students can choose to enroll to study on the main BGSU campus or in the online program.
The MS-LSE program prepares students to combat issues that arise in logistic and systems engineering settings, and to understand the impact of engineering solutions in a global, economic, environmental, and societal context. MS-LSE graduates will be competent to occupy positions such as Systems Engineer, Engineering Manager, Logistics Manager, Supply Chain Analyst, Healthcare Analyst, Industrial Engineer, Plant Manager, Systems Integrator, Process Improvement Manager, and Engineering Operations Manager.
- This program is a Joint program between the BGSU College of Technology Architecture and Applied Engineering and the College of Business. It is one of the very few programs in the nation that blends engineering skills with business skills.
- Highly demanding and highly compensated soft-skilled based engineering program
Quality Classroom Experiences
Our faculty is made up of recognized leaders in their respective fields, providing highly personalized attention within a learner-centered environment. This strong mentoring community strikes just the right balance of the most current, relevant theory with hands-on, practical knowledge that prepares our graduates to succeed in a rapidly evolving, global environment. The graduates from this program will be well versed in designing, managing, and making business decisions related to the real world complex systems.
The Master of Science in Logistics Systems Engineering program is composed of 30 credit hours post bachelor’s and is designed to teach students to solve problems that arise in logistic and systems engineering settings, and to understand the impact of engineering solutions in global, economic, environmental, and societal contexts. Major coursework includes logistics transportation and distribution systems; integrated logistics planning and analysis; supply chain management; Logistics Systems Design and Analysis; healthcare systems engineering; demand driven supply chain planning and operations; quality management in healthcare delivery; data mining; project management; and graduate internship or study abroad experience. The program culminates in a six credit hours thesis or a three hours capstone project.
Upon completion of the Master's degree, students in Environmental Science are expected to be able to:
- Perform planning and strategic decision-making effectively in the field of logistics and systems engineering.
- Perform modeling and analysis of systems and integrate the results.
- Design systems with a clear understanding of complex dynamics in the field of logistics and systems engineering.
- Adapt effective leadership in project management through clear communication and collaborative teamwork.
- Integrate core competencies to develop solutions to complex systems problems in the field of logistics and systems engineering.
This degree requires 30 credit hours from three areas. The core consists of 15 credit hours; 9 credit hours from engineering and 6 credit hours from supply chain management. At least 18 credit hours of 6000 or higher level courses must be taken. Synthesis hours cannot be taken without the consent of advisor and graduate coordinator.
LSE Core Courses (15 hours)
Analysis, design, and implementation of domestic and international transportation systems of people, processes, and technology. Not repeatable. Approved for distance education.
Distribution systems design, warehouse design, process design, and material handling within the extended enterprise. Approved for distance education.
Overview of the logistics function in a global supply chain. Topics include logistics demand management, transportation, and distribution analytics, logistics service quality, logistics information and communication technology, cycle counting, vendor managed inventory, warehousing, transportation regulations and pricing, rate negotiation, third party logistics, and global logistics strategy. Prerequisite: MBA 6040. Credit may not be received for MBA 5420 and MGMT 4420.
Focuses on how supply chains create value for organizations, their suppliers and customers. Explores supply, operations, and logistics processes and how they are integrated with other functions within the firm and across organizations. Examines supply chain strategy; product, process, and service design; quality and lean; planning, control, and measurement systems; and ethical and environmental decisions. Prerequisite: MBA students only or with permission of Graduate and Executive Studies in Business. Approved for Distance Ed. Extra Fee.
The design and operation of contemporary logistics, with a special emphasis of modeling and analysis. Approved for distance education.
Elective Courses (9-12 Credit Hours)
Other courses as approved by Graduate Coordinator
Modeling and analysis of operations research problems in healthcare using techniques from mathematical programming. Improving healthcare systems and processes by integrating systems analysis, health systems engineering, quality management, and operations research techniques. Approved for distance education.
Examine the demand driven processes necessary to effectively plan and schedule operations in a supply chain. Focusing on the planning hierarchy of sales and operation planning, master production scheduling, and materials requirements planning, additional emphasis is placed on distribution requirements planning, flow, and capacity within operations systems and the supply chain. Prerequisite: MBA 6040. Credit not allowed in MBA 5450 and MGMT 4450.
This course emphasizes the practical application of the theories and techniques of quality management and the implementation of processes to develop a commitment to continuous improvement in healthcare organizations. Prerequisite: Must be MHSA student or permission by instructor. Approved for distance education.
This course deals with the fundamentals of regression analysis and modeling. It covers simple linear regression, multiple regression and generalized linear model. The focus is on hands-on experience. Use statistical software packages. Prerequisite: Admission to MSA Program.
MSA 6440 - Data Mining
Data mining is the analysis of large data sets for the purpose of discovering useful information, uncovering important trends, detecting frauds and prediction. This course will cover a variety of data mining applications and algorithms. Topics include classification and regression trees, neural networks, clustering, discriminant analysis, affinity analysis, and Bayesian methods. Students will be exposed to a variety of applications in areas such as finance, insurance, manufacturing, marketing, fraud detection, and scientific data. Uses spreadsheet and statistical software packages. Prerequisite: MSA 5020.
CS 6440 - Data Mining
Summer. Data mining is the analysis of large data sets for the purpose of discovering useful information. This course will cover a variety of data mining applications and algorithms. Topics include regression trees, clustering, neural networks, link analysis, and market based analysis. Students will be exposed to applications in business (finance, insurance, manufacturing, marketing), crime detection (identifying criminal patterns, fraud detection), and science (analysis of scientific data. Students taking the course should have a basic knowledge of elementary statistics. Prerequisite: STAT 2120 or equivalent. [Cross-listed with STAT 6440.]
STAT 6440 - Data Mining
Summer. Data mining is the analysis of large data sets for the purpose of discovering useful information. This course will cover a variety of data mining applications and algorithms. Topics include regression trees, clustering, neural networks, link analysis, and market based analysis. Students will be exposed to applications in business (finance, insurance, manufacturing, marketing), crime detection (identifying criminal patterns, fraud detection), and science (analysis of scientific data. Students taking the course should have a basic knowledge of elementary statistics. Prerequisite: STAT 2120 or equivalent. [Cross-listed with CS 6440.]
Assessment and application of quality driven change process, emphasizing technological and cultural issues associated with servicing customers from a supplier perspective in both manufacturing and non-manufacturing circumstances. Team-based project configuring portfolio based on ISO/QS 9000 rubrics.
Lean systems based improvement, process quality and variation reduction through documentation systems analysis and design in manufacturing and non-manufacturing environments. Team-based project configuring portfolio based on ISO/QS 9000 and lean systems elements. Approved for Distance Ed.
This course examines the strategic role of supply management within organizations. Topics covered include developing and implementing category plans, developing sourcing strategies, identifying, evaluating, and negotiating with suppliers to establish contracts, administering contracts, and managing supplier relationships. The importance of ethics and sustainability in global supply management and how digital technologies are changing supply chain processes are explored. Approved for distance education.
Fall. Systematic exploration of a topics in Renewable technologies, such as manufacturing, energy and green products through readings and projects.
TECH 6200 - Project Management in Applied Engineering
This course develops a foundation for successful completion of a technical project. The course covers a wide range of fundamental concepts related to project management such as project management framework, project management process, project life cycle, and the ten knowledge areas of project management including integration management, scope management, time management, cost management, quality management, human resource management, communication management, risk management, procurement management, and stakeholder management. Approved for distance education.
SCM 6030 - Strategic Project Management for Supply Chain Change
Projects are key drivers of change in today's supply chains because they link strategy, execution, and capabilities. Effective supply chain leaders must be competent project managers. This course presents the foundations of project management and introduces students to the world of real-life supply chain project challenges. Course topics include key issues when managing projects in supply chains: strategy, project selection, structure and culture, project plans, managing risk, scheduling resources, reducing project duration, leading and managing teams, supply chain change management, performance management and evaluation and current topics in supply chain project management. Approved for distance education.
Spring or on-demand. A practical approach to the foundation of robotics and automation with applications to the operation and programming of industrial robotics systems used in manufacturing industries. Prerequisite: Fundamental knowledge in a programming language, or permission from instructor.
LSE 5700 - Study Abroad Experience
International and cultural exposure to gain an understanding of logistics and supply chain operations and design in the global market through exploration of logistics practices of U.S. and Panamanian businesses. Credit cannot be earned for both SYE 4700 and LSE 5700. Approved for distance education.
TECH 6890 - Graduate Internship
Work and study in business, industry, service, or government agency in a position related to student's intended area of specialization. Student assumes a professional role and pursues solutions to appropriate technical management problems. Placement must be approved by major advisor prior to registration. May be repeated to six hours. A minimum of 520 hours of employment during one semester is required. Graded S/U.
Synthesis Courses (3-6 hours) -Either Plan I or Plan II
Plan I: Thesis
The thesis option is a major project of original research, conducted under the supervision of the student’s major advisor. Students electing this option must register for no fewer than six credit hours of thesis research as part of their degree program.
Credit for thesis study. A student may register for unlimited thesis credits with a maximum of six credits allowable toward degree requirements. Prerequisite: TECH 6790.
Plan II: Capstone Project
Students choosing this option will conduct an applied project with a company to address a real world problem using skills learned from various program courses. The students will write a project report and present the findings.
A comprehensive or synthesis course that integrates all aspects of the technology management process. Students will combine concepts and skills from prior masters of technology coursework, problem solving techniques, published works, and industry sources to successfully complete a term-length Project-based Learning Assignment(s) (PLA). Completion the PLA will required that the student draw from knowledge gained from courses taken during their graduate education, problem solving techniques, published work, and industry sources. Approved for distance education.
Sample Plan of Study: Capstone Project Option
* A student may take TECH 6960 in Year 2/Semester 1 and finish this program in 1.5 years
|Year 1/Semester 1||Year 1/Semester 2||Year 2/Semester 1||Year 2/Semester 2|
|LSE 5020||LSE 5020||LSE 6750||TECH 6960*|
|MBA 5420||MBA 6040||Elective III|
|Elective I||Elective II||Elective IV|
Sample Plan of Study: Thesis Research Option
|Year 1/Semester 1||Year 1/Semester 2||Year 2/Semester 1||Year 2/Semester 2|
|LSE 5020||LSE 5020||LSE 6750||TECH 6960|
|MBA 5420||MBA 6040||Elective III|
|Elective I||Elective II||TECH 6990|
Internships and Careers
This program offers an optional internship program or a study abroad experience to Panama to infuse international aspect of logistics and system design into the curriculum. The purpose of the internship experience is to gain working knowledge about the daily roles and responsibilities of administrators and managers in a Logistics and Systems Engineering occupation; develop the management and leadership skills to promote a productive working environment in Logistics and Systems Engineering occupations; and promote the student’s personal and career development through interaction with the supervisor and members of the organization or company.
Salary & Job Placement Data
In the Midwest, the demand for employees with a master’s degree in Logistics System Engineering (LSE) rose 50% in the last decade, based on a market research study conducted by EAB Global, Inc. Nationally, there was an even greater increase in demand for LSE master’s degree holding students by employers. The average advertised annual salary for LSE degree-holding employees is $102,000.
For a regular admission in the program, applicants must meet the following requirements:
- Applicants must submit their resumes listing educational background and job experience among others.
- A minimum undergraduate GPA of 3.0 (on a 4.0 scale) is required for regular admission to the program. All Graduate College admissions policies pertaining to GPA requirements will be followed for this program.
- Applicants must submit official scores from the Graduate Record Examination (GRE). The Graduate Management Admissions Test (GMAT) may be submitted in place of the GRE. GRE may be waived in case-by-case instances when an applicant has a graduate degree from a U.S. institution or at least five years of relevant and progressive experience. Applicants must submit their graduate transcripts showing degree completion or a one-page summary of their job experience stating job responsibilities, duration, accomplishments, and supervisor contact information.
- Scanned copies of transcripts from previously attended institutions are required to complete application. Final official or notarized copies of transcripts and diplomas will be required upon admission.
- Applicants must also submit two letters of recommendation addressed to the Graduate Coordinator. These letters should come from individuals with knowledge of the applicant’s qualifications and ability to successfully complete graduate study. Examples of these individuals include past professors, supervisors, or colleagues holding a graduate degree.
- International applicants are also required to submit scores from the International English Language Testing System (IELTS), the Pearson Test of English Academic (PTEA), or the Test of English as a Foreign Language (TOEFL).
Outstanding Job Placement
Go Far with a career as a systems engineer, logistics manager, industrial engineer, supply chain analyst, engineering operations manager, and many more.
Our graduates will be well suited to work for any of the following companies. Amazon, APL Logistics, Boeing, Chrysler, Dana, FedEx, Ford, General Electric, General Motors, Honda, Lockheed Martin, Mercy Health, Ohio Department of Transportation, Ohio Logistics, Owens Illinois, ProMedica, Stryker Logistics, UPS
For additional information contact:
MD Sarder, Ph.D.
Chair and Professor, Department of Engineering Technologies
College of Technology, Architecture and Applied Engineering
2673 Technology Building
Updated: 10/14/2022 02:45PM