Program Director: Dr. Mark Barratt, Ph.D.
MS in Supply Chain Management website
Degree Offered
MS in Supply Chain Management
Program Description
The MS in Supply Chain Management is designed to develop ethical leaders in the field of supply chain management. The program is aimed at individuals with technical or business degrees who are looking to further develop their understanding of the roll of supply chain management in their organizations, lead technical teams and units as well as supply chain initiatives and innovations, and expand their organization's competitiveness through innovation use of supply chain management for business effectiveness and efficiencies.
The program is offered online with three 1-credit in-person workshops. The program may be completed within one calendar year, including fall, spring and summer terms. Most students enroll in the S.C.M.M. program part-time. All students are required to complete and achieve a pass in the masters capstone applied project.
Students may pursue a specialization in Data Science. To complete the specialization, the student needs to take 6 additionally specified credits beyond the master's program requirements, which extends the student's program.
Prerequisites for Admission
Admission to the master's in supply chain program requires:
- a bachelor's degree from an accredited college or university;
- an acceptable record of academic achievement at the bachelor's level and in any previous graduate course work. Applicants with an undergraduate GPA below 3.000 need to complete an admissions interview and may be asked to supply a GMAT/GRE score if evidence of quantitative work is not reflected in academic course work or professional work experience;
- an overall composite profile of admission data (including an evaluation of previous work experience) that predicts success in the program.
Application Requirements
Application requirements and the online application link are available through the GSM website.
Note: Students may apply for regular degree, non-degree or temporary non-degree status. Non-degree applicants and temporary non-degree applicants must submit all required application materials. Non-degree and temporary non-degree status are not available to international students. International applicants must apply for regular degree admission status.
Students are encouraged to complete all application materials and apply for degree status. Non-degree status and temporary non-degree status are valid for a term or a limited number of terms as approved by the program director. Students with non-degree or temporary non-degree status are not eligible to continue taking GSM classes beyond the time frame the approved term(s) without degree admission. Typically, non-degree admission is not recommended in the S.C.M.M. program.
Supply Chain Management
The Master of Science in Supply Chain Management program (SCMM) is designed to be completed in 24 months. This is a 31-credit, cohort program designed to develop ethical leaders in the field of supply chain management. The program is mix of predominantly online and three short (2-3 day), face-to-face residential workshops. Applicants without the required supply chain management background are required to successfully complete SCMM 6501 Supply Chain Foundation at the beginning of the program. Those with a supply chain background may request a waiver of this requirement.
Students enroll in six (6) credits of courses each term. Three (3) of the total 31 credits are formed by three (3) residential workshop periods.
Master's Degree with No Specialization
Course List Code | Title | Hours |
1 | |
COSC 6520 | Data Analytics | 3 |
or MBA 6100 | Business Analytics |
SCMM 6500 | Supply Chain Workshop 1 | 1 |
SCMM 6501 | Supply Chain Foundation | 1 |
SCMM 6505 | Logistics - Methods and Systems | 2 |
SCMM 6510 | Sourcing in the Digital Supply Chain | 2 |
SCMM 6515 | Industry 4.0 | 2 |
SCMM 6520 | Additive Manufacturing | 1 |
SCMM 6525 | Transportation and Network Design | 2 |
SCMM 6530 | Supply Chain Workshop 2 | 1 |
SCMM 6535 | Supply Chain Collaboration | 2 |
SCMM 6545 | Applied Project | 2 |
SCMM 6550 | Supply Chain Workshop 3 | 1 |
SCMM 6570 | Supply Chain Finance | 1 |
SCMM 6931 | Topics in Supply Chain Management | 1 |
SCMM 6997 | Supply Chain Capstone | 3 |
| 6 |
| Supply Chain Management | |
| Negotiations | |
| Transportation | |
| Supply Chain Sustainability | |
| Applied Project 2 | |
| Supply Chain Planning | |
| Supply Chain Risk and Resilience | |
| Global Strategic Sourcing | |
| Lean Enterprise | |
| Supply Chain Finance | |
| Enterprise Systems | |
| Data Intelligence | |
| Data Analytics | |
| Data at Scale | |
| Data Ethics | |
Total Credit Hours: | 31 |
Master's Degree with a Specialization in Data Science
A Data Science specialization is available. To earn the specialization, students must complete COSC 6510 Data Intelligence and COSC 6820 Data Ethics as the two electives in the Master of Science in Supply Chain Management program. Additionally, students must complete COSC 6520 Data Analytics and COSC 6570 Data at Scale, which adds an additional 6 credit hours to the overall program requirements and brings the total number of program credits to 37.
All courses for the specialization must be completed prior to graduating from the Master of Science in Supply Chain Management program. The grade of B or better is required in all courses related to a specialization. Transfer credits are not permitted for courses related to specializations. Obtaining both the specialization and a certificate is not permitted. Courses may not be used for more than two of the following options: certificate, specialization or master’s.
Master's Degree with the Data Science Certificate
The Department of Computer Science offers a Data Science certificate. If a Supply Chain Management student chooses to earn the certificate, admission to the Data Science certificate program must be obtained at the same time as admission to the Supply Chain Management program and will be enrolled simultaneously into both programs. There is no retroactive awarding of certificates or using courses that were taken prior to the admission to the certificate program to satisfy the requirements of a certificate, and credit may not be transferred in to satisfy the requirements for certificates.
The course requirements for the Data Science certificate are the same as those required for the specialization, as outlined above, plus MBA 6100 Business Analytics. The certificate may add up to an additional 6 credits. Obtaining both the specialization and a certificate is not permitted. Courses may not be used for more than two of the following options: certificate, specialization or master’s.
For more information, see the certificate in Data Science.
Master's Degree with the Business and Managerial Analytics Certificate
The Graduate School of Management offers a Business and Managerial Analytics certificate. If a Supply Chain Management student chooses to earn the certificate, admission to the Business and Managerial Analytics certificate program must be obtained at the same time as admission to the Supply Chain Management program and will be enrolled simultaneously into both programs. There is no retroactive awarding of certificates or using courses that were taken prior to the admission to the certificate program to satisfy the requirements of a certificate, and credit may not be transferred in to satisfy the requirements for certificates.
The course requirements for the Business and Managerial Analytics certificate are as follows:
Course List Code | Title | Hours |
COSC 6520 | Data Analytics | 3 |
or MBA 6100 | Business Analytics |
COSC 6510 | Data Intelligence | 3 |
COSC 6820 | Data Ethics | 3 |
1 | 6 |
| Customer Relationship Management | |
| Marketing Research | |
| Marketing Analytics | |
| Applied Econometrics | |
| Applied Time-Series Econometrics and Forecasting | |
| Accounting Analytics 2 | |
| Fraud Examination and Analytics |
Total Credit Hours: | 15 |
The certificate may add up to an additional 9 credits. Obtaining both the specialization and a certificate is not permitted. Courses may not be used for more than two of the following options: certificate, specialization or master’s.
Master's Degree with No Specialization with a Systems Engineering or Machine Learning Certificate
The Opus College of Engineering offers the Systems Engineering (SYEN) certificate and the Machine Learning (MLRN) certificate. Students may wish to earn the Supply Chain Management master's degree plus one of these certificates (SYEN or MLRN). This option can be pursued by those who have already completed the Systems Engineering or Machine Learning certificate or by concurrent enrollment in the Supply Chain master’s degree and in the System Engineering or Machine Learning certificate.
Students seeking concurrent SCMM master's-engineering certificate enrollment must do so prior to taking engineering certificate courses. Those enrolled in the Supply Chain master’s program who take engineering courses prior to enrolling in the specified certificate are not be permitted to apply those courses to completing a certificate.
Those who have already completed either certificate within the last 5 years can have those courses applied to meet the certificate requirements specified below:
Systems Engineering Course options:
Course List Code | Title | Hours |
| |
GEEN 5820 | Systems Engineering Principles and Practice | 3 |
GEEN 5830 | Engineering Risk Analysis | 3 |
| 6 |
| Biomedical Instrumentation Design | |
| Image Processing for the Biomedical Sciences | |
| Systems Physiology | |
| Traffic Characteristics and Design | |
| Sustainable Engineering | |
| Software and System Security | |
| Fundamentals of Artificial Intelligence | |
| Sensor Devices: Theory, Design and Applications | |
| Software Testing | |
| Introduction to Algorithms | |
| Introduction to Intelligent Systems | |
| Industrial Ecology and Sustainable Design | |
| Model-Based Systems Engineering | |
| Physical Systems Modeling | |
| Experimental Design | |
| Human Factors Engineering | |
| |
Total Credit Hours: | 12 |
Machine Learning Course options:
Course List Code | Title | Hours |
| |
EECE 6822 | Machine Learning | 3 |
| 9 |
| Visual Analytics | |
| Data Mining | |
| Advanced Machine Learning | |
| Data at Scale | |
| Data Ethics | |
| Introduction to Algorithms | |
| Developments in Computer Software | |
| Fundamentals of Artificial Intelligence |
| Introduction to Intelligent Systems | |
| Introduction to Neural Networks and Fuzzy Systems | |
| Evolutionary Computation | |
| Algorithm Analysis and Applications | |
| Artificial Intelligence | |
| Pattern Recognition | |
| Neural Networks and Neural Computing | |
| Advanced Topics in Electrical and Computer Engineering | |
| |
Total Credit Hours: | 12 |
ACCELERATED BACHELOR'S-MASTER'S DEGREE PROGRAM
This five-year program allows students to earn both their master of science in supply chain management (M.S. in Supply Chain Management) and an undergraduate degree from the College of Business Administration. Undergraduate students begin their graduate work in their senior year. A maximum of 9 credits may count for both the undergraduate and graduate degrees.
Should a student be denied admission to the M.S. in Supply Chain Management program, the courses are counted toward the undergraduate degree only. A minimum grade of B is required for courses taken as a undergraduate student for graduate credit to apply toward graduate program requirements. Upon completion of the first term as a master's candidate, the student must petition the appropriate Graduate School of Management program director to transfer the courses taken as an undergraduate to the master's degree.
To be considered for admission to the five-year program, applicants must formally apply to the Graduate School of Management during their junior year at Marquette University, complete all of the application requirements as listed above and indicate on their application that they are applying for the five-year or ADP program. For information, contact the Graduate School of Management (414) 288-7145, send an email to GSM@marquette.edu, or visit the Graduate School of Management website.