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Post-graduate diploma in Management (PGDM) in Business Analytics with Logistics Course

Learn business analytics and logistics with our complete PGDM course. Get hands-on training, work on real-world projects, and use advanced tools. Gain skills in supply chain management, data analysis, and smart decision-making to build a strong career.

No Cost EMI

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Starts at Rs. 6,458

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Master the skills that shape the future of technology with the Advanced Certificate Program in Generative AI, a 5-month generative AI course by upGrad.

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Start Date

Starts at Rs. 6,458

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Introduction to Post-Graduate Diploma in Management (PGDM) in Business Analytics with Logistics Course

Course Snapshot

Hours of Learning

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Industry Projects

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GenAI Tools

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A PGDM course is a great choice if you want to grow in management and become a future leader. Approved by AICTE, the Post Graduate Diploma in Management (PGDM) is a well-known two-year course that helps you develop strong leadership and management skills.

The course covers finance, marketing, operations, human resources, and strategy. Our practical training with real time live projects allows learners to acquire real time experience that also helps to get the best career opportunity in the job market.

Comprehensive Curriculum

A complete program designed by experts, covering the latest business analytics tools, logistics management, and data-driven decision-making to help you succeed.

Key Highlights of Post-graduate diploma in Management (PGDM) in Business Analytics with Logistics Course

What does this course have to offer?

Our curriculum covers in-demand industry relevant topics

Managerial communication
Corporate Finance
Operations Management
Quantitative Techniques for Managers
Business Awareness
Financial Accounting
Taxation concepts
Improving Leadership Skills
SAP FICO
Zoho books
Tally Prime

Learn about Finance, Tax and SAP, Tally software.

Students and Graduates
Business Owners and Entrepreneurs
Working Professionals
Business Owners and Entrepreneurs
Supply Chain and Logistics Managers
Startups and Non-Profit Organizations

This PGDM in Business Analytics with Logistics course is perfect for anyone looking to develop strong analytical skills and gain expertise in logistics management. It helps you understand data-driven decision-making, supply chain optimization, and business growth strategies, making career advancement easier and more effective.

This course opens doors to exciting career opportunities in business analytics and logistics. Whether you want to work for a company or start your own consultancy, you’ll gain the skills to manage data, optimize supply chains, and make smart business decisions.

Generative AI Models
Transformers
ChatGPT
Prompt Engineering
Product Development
Product Development
Deploy Web Apps with Flask

Bachelor’s degree in any discipline, basic understanding of business or statistics (preferred), open to fresh graduates, working professionals, and entrepreneurs.

Start to Learn about PGDM today!

Learn key business analytics and logistics concepts, apply them in real-world scenarios, and gain hands-on experience with data analysis and supply chain management to boost your skills.

Earn Valuable Credentials And Recognition

Boost your career with an Advanced PGDM Certification and gain expertise in business analytics, logistics, and data-driven decision-making.

Key Highlights of Generative AI Course

Earn valuable credentials and recognition

Make your portfolio stand apart with an Advanced Certification in Generative AI

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Courses

Meet Our Expert Team

Learn more about the experts who will be supporting your learning
journey and helping you achieve your career goals

CA Ashna Bharath Pillai

Business & Tax Regulatory

CA Ashna Bharath Pillai

Business & Tax Regulatory

CA Ashna Bharath Pillai

Business & Tax Regulatory

CA Ashna Bharath Pillai

Business & Tax Regulatory

World-Class Curriculum

Master Marketing with a World-Class Curriculum

Prepare for a career in the high-growth field of data analytics. In this program, you’ll learn in-demand skills like Python, Excel, and SQL to get job-ready in as little as 4 months.

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Key Highlights of Post-graduate diploma in Management (PGDM) in Business Analytics with Logistics Course

Skills You Will Acquire

Finance skills

Managerial Skills

Networking Skills

Business Planning

Team Management Skills

Organization Skills

Communication Skills

Digital Marketing Course Career Outcomes

What our learners have achieved?

A quick summary of the placement support received by this program’s alumni

32%

Avg. Salary Hike

86%

Learners Achieving their Outcomes

3500+

Successful Transitions

250+

Hiring Partners

Top Recruiters

Post-graduate diploma in Management (PGDM) in Business Analytics with Logistics Course Eligibility & Admissions

How To Apply

The application journey is simple and straightforward, and can be completed in three easy steps.

Fill the Application Form

Fill out the application form on the upGrad portal

Get Shortlisted

You will receive a shortlisting email based on your profile

Block Your Seat

Secure your seat by paying the course fee

Industry Experts - Post-graduate diploma in Management (PGDM) in Business Analytics with Logistics Course

Learn from Industry Experts

Transform your career and become a PGDM Expert today!

Learn about various machine learning techniques, their applications and use cases. Furthermore, you will learn about deep learning and understand how it differs from machine learning.

FAQ

Frequently Asked Questions

The application journey is simple and straightforward, and can be completed in three easy steps.

Who can join this course?

Anyone with a bachelor’s degree can join. Fresh graduates, working professionals, and business owners can apply.

What will I learn?

You will learn business analytics, supply chain management, logistics, and how to use data to make smart business decisions.

Can I study online?

You can work as a Business Analyst, Logistics Manager, Data Analyst, Supply Chain Analyst, or Operations Manager.

What jobs can I get after this course?

You can work as a Business Analyst, Logistics Manager, Data Analyst, Supply Chain Analyst, or Operations Manager.

Do you provide job support?

Yes, we offer career guidance, resume help, and access to job opportunities through our placement support.