Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
This Supply Chain Management Analytics online course is designed to equip operations professionals with the essential expertise to optimise inventory and enhance operational efficiency in the ever-changing global landscape. The Supply Chain Management Analytics certification by Emeritus addresses the critical challenges faced by supply chain professionals, particularly in the aftermath of a global pandemic that disrupted the global supply chain network.
With a focus on harnessing data and analytics, the Supply Chain Management Analytics certification course provides a deep understanding of key supply chain concepts, tools, and techniques that are vital for guiding effective supply chain strategies. The curriculum encompasses six modules, starting with an introduction to supply chain analytics, followed by a detailed exploration of the newsvendor model, demand analytics, inventory analytics, and more.
The Highlights
- Approx. 6 Weeks To Complete
- Certification By the University of Pennsylvania
- Economic Order Quantity (EOQ)
- Forecasting models
Programme Offerings
- Certification
- Discussion Forum Live Lecture
- Expert Faculty
- Live teaching session
- Framework
- Industry Example
- Assignment
- Interactive discussion
- Knowledge Check
- Poll
- Capstone Project
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | The Wharton School, Philadelphia |
The full Supply Chain Management Analytics certification fees amount to US $ 2,600.
Supply Chain Management Analytics fee structure
Particulars | Fee |
Supply Chain Management Analytics fee structure course fee | US $ 2,600 |
Eligibility Criteria
Certification Qualifying Details
Upon successful completion of the Supply Chain Management Analytics certification syllabus, participants will receive a digital certificate of completion from the Wharton School.
What you will learn
During Supply Chain Management Analytics classes, participants will be able to:
- Learn how to leverage data and analytics to improve supply chain performance, enhance decision-making, and respond effectively to market demands.
- Explore the concept of continuous behavioural authentication, as traditional password-based authentication becomes less effective, enabling them to leverage advanced authentication choices in their cybersecurity strategies.
- Learn how data science enhances the quality of data inputs, facilitating the creation of effective KPIs to measure the health of an organisation's cybersecurity programme, processes, or controls.
Who it is for
The Supply Chain Management Analytics certification training is designed for professionals in various career options and professions related to supply chain management, operations, and analytics. The programme is particularly beneficial for individuals working in roles and industries where optimising inventory and supply chain efficiency are crucial for success. Some of the key target audiences for this course include:
Admission Details
Follow the steps below to join the online course.
Step 1- Click on the link below: https://online-execed.wharton.upenn.edu/supply-chain-analytics/?thank_you=true
Step 2- Click on the “Apply Now” button.
Step 3- Fill in the basic details and then submit the form.
Step 4- A representative will contact you to begin the process of enrolment.
The Syllabus
- Without Supply Chain Management Analytics, data is just numbers. Supply chain analytics gives form — and meaning — to data, allowing organizations to develop an up-to-the-minute understanding of their supply chain’s health.
- During the first week, you will learn the importance of supply chain analytics and explore the fundamental elements of the supply chain, including its role, impact, and key challenges.
- Learn the core components of an efficient supply chain model and explore potential solutions to navigate through uncertainty.
- Take an in-depth look at the newsvendor model, a mathematical model used in operations management to determine optimal inventory levels.
- Relying on a combination of historical information, insights, and market intelligence about the future, forecasting enables organizations to build and maintain efficient supply chains.
- In this you will learn about the different methods of forecasting, review best-in-class examples, and apply the methods you’ve learned to see how forecasting informs the decision-making process.
Organizations must avoid out-of-stock merchandise, back orders, and delivery delays to remain competitive and respond to demand.
Develop a thorough understanding of inventory decisions in the supply chain and the role that analytics plays.
Review examples and use them to put optimization methods to the test.
- Learn about network design, the role it plays in supply chain analytics, and the factors affecting network design decisions. Then, run an optimization model to polish your decision-making skills.
- Examine current machine learning trends and learn what’s next for the supply chain. In addition, take a closer look at an important application of machine learning — forecasting.
Instructors
The Wharton School, Philadelphia Frequently Asked Questions (FAQ's)
The programme duration is six weeks.
The recommended time commitment is 4 to 6 hours per week.
Yes, the Supply Chain Management Analytics programme is a fully online certificate program.
No, this programme does not grant academic credit or a degree from the Wharton School.
Functional knowledge of probability, statistics, and linear algebra is required for full value from the programme. Knowledge of R or Python is beneficial but not required.
Participants will learn supply chain analytics, the newsvendor model, demand forecasting, inventory management, network design, machine learning applications, and real-world supply chain strategies.
The programme is led by Professor Gad Allon, an award-winning educator and expert in operations management and operations strategy.