Sep 08, 2025

2025-2026 Graduate Catalog

Smart Manufacturing, Master of Science

Department of Industrial and Systems Engineering
502 Engineering Center (map)
(248) 370-2989 • Fax (248) 370-2699
www.oakland.edu/ise

Coordinator
Vijitashwa Pandey
502B Engineering Center
(248) 370-2989
pandey2@oakland.edu

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Program Description:

The Master of Science program in smart manufacturing is designed to equip students with the knowledge and skills necessary to excel in the rapidly evolving field of smart manufacturing. This interdisciplinary program emcompasses digital twins, data connectivity, data analytics and simulation of manfacturing systems.

The curriculum provides a strong foundation in core manufacturing principles while offering depth-areas in digital twins, artificial intelligence in manufacturing, augmented and virtual reality (AR/VR), and collaborative robotics. Students benefit from hands-on experience in cutting-edge laboratories and have the opportunity to engage with leading academic and industry experts in digital manufacturing.

Graduates of the program will be well-positioned for careers across various sectors, including automotive, aerospace, transportation, defense, and government. Admission is open to candidates holding a bachelor’s degree in any engineering discipline (industrial, mechanical, electrical, computer, chemical engineering etc.) Applicants from related fields may also be considered, subject to the completion of additional preparatory coursework, if needed.

Admission terms and application deadlines

Before an applicant’s file can be reviewed for full program admission, all application documents must be received in Oakland University Graduate School by the semester deadlines listed below. Incomplete applications will not be sent to departments for admission review.

February 15 (early) April 15 (regular) and July 15 (late) for fall semester
October 1 (early) and November 15 (regular) for winter semester
March 1 (regular) for summer semester
International applicants

Application requirements

To be considered for graduate admission, applicants must submit all Graduate Application Requirements and additional department requirements by the published application deadlines:

Graduate Application Requirements
Additional department application requirements

Requirements for recommendations:
- Two recommendation forms must be from faculty members of the undergraduate major department or professionals in the field who can evaluate the scholarly achievement and potential of the applicant. These recommendations form an important part of the admission credentials.
Applicants must submit official scores of their Graduate Record Examination (GRE) if they graduated from an institution not accredited by a regional accrediting agency of the USA. The department may choose to waive the GRE requirement if at least one of the following special circumstances is met:
- Applicant has a degree from a U.S. institution accredited by a regional accrediting agency.
- Applicant’s overall GPA from last degree is at least 3.0 on a 4.0 scale.
- Applicant has worked in the USA for at least two years in the engineering profession.
- To request a waiver, applicants must submit a Request to Waive GRE form to the Graduate School as part of the application packet. The request for waiver is subject to the approval of the Graduate Admissions Committee.
Bachelor of Science in any engineering discipline. Applicants from other disciplines such as computer science, engineering technology, information technology and related fields would be considered after successfully completing appropriate prerequisite courses.
Admission to master’s program is selective; applicants should have an undergraduate GPA of 3.0 on a 4.0 scale or better for regular admission.
If the applicant’s undergraduate GPA is between 2.7 and 3.0 on a 4.0 scale, admission with limited standing may be offered.
For applicants for whom the GRE is not waived, a 70% or better percentile score of the GRE Quantitative Reasoning section is required.

Admission review and assessment

Admission to graduate school at Oakland University is selective. In making admission recommendations to Oakland University Graduate School, each department assesses the potential of applicants for success in the program by examining their undergraduate records, goal statement, letters of recommendation, prerequisite courses and any other admission requirements established by the academic department.

Degree requirements

To fulfill the requirements for a Master of Science degree in smart manufacturing, a student must:

Successfully complete at least 32 credits of graduate level work, of which at least 24 credits must be in approved courses offered by the School of Engineering and Computer Science
Course credit will not be awarded for work applied toward another degree
Earn a cumulative GPA of at least 3.0 in courses applied toward the degree
Complete no more than two courses with a minimum grade of B-
Satisfy all requirements concerning academic progress (see Academic progress).

Course Requirements (32 credits)

Theory Courses (4 credits)

Choose one course from the following:
ISE 5517 - Statistical Methods in Engineering (4 credits)
ISE 5430 - Engineering Operations Research - Deterministic Models (4 credits)
ISE 5431 - Engineering Operations Research - Stochastic Models (4 credits)
ISE 5434 - Metamodeling and Optimization Methods in Design (4 credits)
SYS 5402 - Systems Optimization and Design (4 credits)
SYS 5404 - Signal and Linear Systems Analysis (4 credits)

Required courses (12 credits)

Manufacturing Foundations

Choose one course from the following:
ISE 5464 - Design for Manufacturing and Assembly Analysis (4 credits)
ISE 5475 - Additive Manufacturing 4 credits
ISE 6684 - Computer-Integrated Manufacturing Systems (4 credits)
ME 5701 - Manufacturing Processes (4 credits)
ME 5350 - Mechanical Computer-Aided Engineering (4 credits)
Manufacturing System Modeling and Analysis

Choose one course from the following:
ISE 5469 - Computer Simulation of Discrete Event Systems (4 credits)
ISE 5581 - Lean Principles and Application (4 credits)
ISE 5485 - Statistical Quality Analysis (4 credits)
Broader Concepts

Choose one course from the following:
ISE 5487 - Foundations of Systems Engineering (4 credits)
ISE 5488 - Advanced Systems Engineering (4 credits)
ISE 5540 - Occupational Biomechanics (4 credits)
ISE 5410 - Supply Chain Modeling and Analysis (4 credits)

Depth Area Courses (8 credits)

Select 8 credits from one of the following four depth areas

Digital Twins

Required course:
ISE 5472 - Digital Twins in Smart Manufacturing (4 credits)
Choose four credits from the following:
ISE 5560 - Product Lifecycle Management (4 credits)
ISE 5462 - PLM Applications - Robotic Systems (2 credits)
ISE 5463 - PLM Applications - Ergonomics (2 credits)
ISE 5466 - PLM Applications - Change Management (2 credits)
ISE 5467 - PLM Applications - Throughput Simulation (2 credits)
ISE 5461 - PLM Applications - Product Data Management (2 credits)
Artificial Intelligence

Required course:
ISE 5512 - Artificial Intelligence in Manufacturing (4 credits)
Choose one course from the following:
ISE 5435 - Data Analytics (4 credits)
ME 5310 - Machine Learning Engineering Design (4 credits)
CSI 5130 - Artificial Intelligence (4 credits)
ISE 5483 - Production Systems and Workflow Analysis (4 credits)
AR/VR Applications

Required course:
ISE 5442 - Virtual and Augmented Reality (4 credits)
Choose one course from the following:
ISE 5443 - Automotive User Experience (4 credits)
ISE 5473 - Mixed Reality Applications in Manufacturing (4 credits)
CSI 6550 - Advanced Visual Computing (4 credits)
ECE 5510 - Machine Vision (4 credits)
Collaborative Robots

Required course:
ISE 5471 - Collaborative Robots and Flexible Automation (4 credits)
Choose one course from the following:
ISE 5422 - Robotic Systems (4 credits)
ISE 5423 - Industrial Automation Systems (4 credits)
ECE 5551 - Human Robot Interaction (4 credits)

Exit (8 credits)

General Electives (8 creduts)

Select 8 credits of 5000- and/or 6000-level courses from the disciplines of ISE (excluding ISE 5001,5002, and 5003), SYS, ECE, ME, or CSE (excluding CSE 5005, 5006, 5007, and 5008).

Note that the satisfaction of the prerequisites for any given course on this list may depend upon the engineering discipline of the student’s B.S. degree.

-OR-

Thesis (8 credits)

Although the Smart Manufacturing master’s degree requirements may be satisfied by taking only coursework, a master’s thesis (ISE 6998) may be included as part of the program in place of general elective courses. Students electing a thesis option must accumulate 8 credits of ISE 6998. Successful completion and defense of a thesis is a prerequisite for earning thesis credits. Students choosing the thesis option must select an advisory committee, which is composed of at least three faculty members from the Department of Industrial and Systems Engineering. The selection of the committee and the plan of study must be approved by the ISE Department chair.

Good academic standing

All graduate students are expected to remain in good academic standing throughout the entire course of their graduate program. To be in good academic standing , a graduate student must make satisfactory progress toward fulfilling degree requirements, including the completion of critical degree milestones as set forth by the academic program. The student must also maintain a minimum semester and overall GPA of 3.0 (B) or better.

Good academic standing is a requirement for:

Holding a Graduate Assistantship
Receiving a fellowship or scholarship
Advancing to candidacy for a graduate degree
Going on a leave of absence
Obtaining a graduate certificate or degree from Oakland University.

Additionally, graduate students must meet all department academic standards which may be more stringent than the minimum set forth by the University.

Graduate students who are not in good academic standing for any reason are subject to probation and/or dismissal from further graduate study.

Related program information

Plan of study

All accepted applicants, in consultation with their assigned faculty program adviser, must develop a plan of study that details specific courses the students will use to satisfy their degree requirements. The plan of study must be approved by the faculty program adviser and submitted by the student to Oakland University Graduate School.

Master’s and graduate certificate students must submit a department-approved plan of study by the end of their first semester of graduate coursework. Doctoral students must submit an approved plan of study prior to completion of the first year of coursework. (See the Graduate Student Responsibility section of this catalog.)

Note: Credit granted for successful completion of a course toward an undergraduate degree program may not be repeated for a graduate degree. If a substitution is approved, the minimum number of program-approved graduate credits will be required. A Petition of Exception - OU Course Waiver/ Substitution requesting the substitution must be approved.

Satisfactory academic progress

Satisfactory Academic Progress (SAP) is the term used to denote a student’s successful completion of coursework toward a certificate or degree. Federal regulations require the Office of Financial Aid to monitor Satisfactory Academic Progress for all financial aid recipients each semester.

Students who fall behind in their coursework, or fail to achieve minimum standards for grade point average and completion of classes, may lose their eligibility for all types of federal, state and university aid. Contact the Office of Financial Aid for additional details.