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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

Decision making skillsSupply ManagementData Analysis

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)

1: What is the duration of the Supply Chain Management Analytics online course?

The programme duration is six weeks.

2: How much time should I dedicate to the Supply Chain Management Analytics online certification course per week?

The recommended time commitment is 4 to 6 hours per week.

3: Is this program entirely online?

Yes, the Supply Chain Management Analytics programme is a fully online certificate program.

4: Is there any academic credit or degree granted upon completion?

No, this programme does not grant academic credit or a degree from the Wharton School.

5: Are there any specific prerequisites for enrolling in the course?

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.

6: What will I learn in this program?

Participants will learn supply chain analytics, the newsvendor model, demand forecasting, inventory management, network design, machine learning applications, and real-world supply chain strategies.

7: Who are the instructors for the program?

The programme is led by Professor Gad Allon, an award-winning educator and expert in operations management and operations strategy.