Recent supply chain disruptions have highlighted the importance of data-driven and efficient supply chain management practices. Having a strong understanding of supply chain analytics will provide a competitive advantage in the job market, as employers seek individuals who can effectively analyze and improve their supply chain operations. With the increasing use of technology and data in the supply chain industry, the demand for professionals with expertise in this area is expected to grow according to industry experts. In response to this critical need, JMU's College of Business and School of Professional & Continuing Education partner to offer a non-credit certificate series on Supply Chain Analytics.
Prepare today for tomorrow's career
Request More Information About This Certificate Series
Supply Chain Analytics – Level 1: Exploratory Analytics
Duration:
6 weeks
(10-15 hours/week)
Begins May 20, 2024
Format:
100% online
(hybrid - synchronous and asynchronous content)
Program Fee:
$2,450
(per level)
Registration Deadline: April 30, 2024
Certificate Series Takeaways
- Learn how to capture, clean, upload, and access supply chain data using an Enterprise Resource Planning (ERP) system.
- Leverage data visualization tools to develop supply chain dashboards.
- Compare supply chain network member performances and identify supplier performance improvement opportunities.
- Utilize supply chain metrics and key performance indicators (KPIs) to identify opportunities to improve operational efficiency and effectiveness.
- Develop forecasting skills to improve the accuracy and reliability of supply chain decisions regarding inventory levels and sustainability efforts
- Employ geospatial information to gain supply chain advantages in speed-to-market and cost efficiency.
Certificate Series Applicants
Whether you're about to embark on a supply-chain career, or getting ready to take the one you've already got in a different direction, our Supply Chain Analytics Non-credit Certificate Series may be exactly what you're looking for.
Perfect for:
- Recent college graduates seeking careers in the supply-chain industry
- Entry-level supply-chain specialists who are ready to move up
- Established supply-chain associates who wish to develop or update their analytical skills.
- Consultants interested in securing supply-chain projects.
Certificates of Completion
A certificate is awarded upon successful completion of each of the three levels.
Certificate Series Levels
Level 1 will run from May 20 - June 24, 2024. Register here.
| The methods and software used in Level 1 are listed below. | |
| Analytical Methods | Software |
| Introduction to ERP - Data Gathering, Cleansing, Preparation |
Odoo ERP |
| Introductory Probability/Statistics | MS Excel |
| Descriptive Statistics/Exploratory Data Analysis | MS Excel |
| Time Series Forecasting | MS Excel and Monte Carlo Simulation |
| Data Visualization and Dashboard | MS Excel and Tableau |
| Geospatial Analysis | ArcGIS |
Level 2 will run from July 15 - August 19, 2024. Register here.
Students will gain knowledge of:
- Advanced Supply Chain Forecasting
- Evaluation of Inventory and Sourcing Policies
- Customer/Supplier Segmentation and Pricing Strategies
- Sales/Inventory Velocity
- Return on Supply Chain Technology Investments
- Supply Chain Impact on Firm’s Bottomline
Check back later for more information on the Supply Chain Analytics Non-credit Certification Series: Level 3.
Luis Novoa, Ph.D
Assistant Professor, Computer Information Systems and Business Analytics; MBA Program
William J. Ritchie, Ph.D
Professor and CSX Professor, Business Management
Baback Vaziri, Ph.D
Associate Professor, Computer Information Systems and Business Analytics; MBA Program
Questions?
If you have any questions or would like more information about the Supply Chain Analytics
Non-credit Certification Series, please contact
Mert Tokman.
Hours of operation:
Mon - Fri: 8 a.m. - 5 p.m.
