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PGDM Executive in
Business Analytics

PGDM Executive in Business Analytics

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  • Course Duration

    15 Months

  • Eligibility

    Any graduate having 5+ years of work experience

  • Format

    Blended Learning (Online)

  • Course fee

    INR 1,00,000

About the Programme

The Post Graduate Diploma in Management (PGDM) Executive – Business Analytics is a 15-month advanced management programme designed specifically for experienced professionals who aim to lead data-driven organizations.

This program bridges the gap between business strategy and analytical intelligence. It empowers executives to make informed decisions using data interpretation, predictive models, and performance insights. The course combines managerial knowledge with analytics tools and techniques, helping professionals become strategic thinkers capable of harnessing data for organizational growth.

This specialization is ideal for managers, team leaders, and professionals who wish to transition into leadership roles where analytics plays a central role in decision-making.

Unique Pedagogy

Unique Pedagogy

  • The pedagogy of the PGDM Executive in Business Analytics focuses on applied learning, flexibility, and managerial relevance. It is structured to fit into the lifestyle of working professionals without compromising academic depth.
  • Flexible Learning Environment: The programme is delivered through an advanced digital platform that allows learners to study at their own pace using interactive e-learning content, recorded lectures, and live sessions.
  • Practical, Industry-Oriented Curriculum: Every subject is designed to connect theory with real-world business cases. Learners analyze data-driven business scenarios across functions such as marketing, finance, operations, and strategy.
  • Experiential Learning through Projects: Learners complete a capstone project that integrates business analytics with management practices. This ensures the ability to apply analytical tools in decision-making contexts.
  • Case-Based Teaching: The course uses Harvard-style business cases, simulations, and practical examples to enhance analytical and problem-solving capabilities.
  • Mentorship by Industry Experts: The faculty includes senior academicians and corporate professionals who bring practical exposure and guide learners on industry applications of analytics.
Academic Partnership

Academic Partnerships

  • The PGDM Executive in Business Analytics is part of the academic ecosystem of the MIT Group of Institutions, Pune — a pioneering educational conglomerate known for excellence in management, technology, and innovation.
  • MITSDE leverages its strong academic and industry collaborations to ensure that the PGDM Executive programme remains aligned with evolving market requirements.
  • These collaborations ensure that learners receive a holistic, future-ready education that is globally recognized and industry-applicable.
  • The curriculum is designed in consultation with industry experts and data analytics practitioners.
  • The programme reflects global best practices in business analytics education.
  • Collaborative learning opportunities include webinars, expert talks, and industry case projects.
Expert Faculty

Expert Faculty

  • The faculty for the PGDM Executive in Business Analytics includes a blend of academicians, industry veterans, and data professionals who bring a perfect balance of theory and application to the classroom.
  • This expert-driven approach ensures that participants can apply analytical frameworks confidently in real-time business environments.
  • Academic Experts: Professors specializing in business analytics, data interpretation, and strategic management.
  • Industry Mentors: Professionals with experience in analytics, consulting, and business strategy who share practical insights through webinars and live sessions.
  • Personalized Guidance: Learners receive one-on-one mentoring and project feedback to ensure conceptual clarity and application-oriented learning.
  • Skill Integration: Faculty emphasize the use of analytical tools, business intelligence dashboards, and strategic modeling for executive-level problem-solving.

Learning Outcomes

Learning Outcomes

    By the end of the PGDM Executive in Business Analytics programme, learners will be able to:

  • Understand the Role of Analytics in Business Strategy: Learn how to integrate data insights into strategic decision-making.
  • Apply Analytical Tools and Techniques: Gain proficiency in applying business analytics, data visualization, and statistical models for practical problem-solving.
  • Interpret and Communicate Data-Driven Insights: Develop the ability to translate complex data into actionable business strategies.
  • Improve Operational and Strategic Efficiency: Use analytics to identify trends, optimize resources, and drive innovation within the organization.
  • Lead Data-Driven Teams: Build leadership skills that enable executives to guide teams toward analytical excellence and informed decision-making.
  • Execute a Real-World Analytics Project: Apply learned concepts through a comprehensive project demonstrating analytical capability and managerial understanding.

Course Syllabus

Semester 1
  • Foundations of Business Management (S1F01)
  • Managerial Economics (S1C10)
  • Accounting for Managers (S1C15)
  • Managerial Communication - LAB (Credits = 2+2) (S1C14)
  • Leading People and Organization (S4EO4)

AI Foundation

AI Mindset + Prompt Engineering for Business Output

What the Learner Becomes:

AI-Ready Professional
Certificate
  • AI Readiness Certificate + AI Productivity Certificate (AIRCPC)
  • Certified Professional Excel Analyst (CPEA)
  • Certified Professional Data Analyst (CPDA)

Total Credits 20

Semester 2
  • Research Methodology and Management Decision (S2C14)
  • Data Mining for Business Analytics (S2DB1)
  • Predictive Modelling (S3EL6)
  • Financial Analytics (S4SF3)
  • Marketing Analytics - LAB (Credits = 3+1) (S3EL4)
  • Supply Chain Analytics -LAB (Credits = 3+1) (S4SL1)

AI Intermediate

Domain-contextualised AI module + workplace artifact

What the Learner Becomes:

AI-Enabled Task Optimiser
Certificate
  • AI Automation Certificate + AI Strategy Certificate (AIACSC)
  • Certified Professional Data Science Analyst (CPDSA)
  • Certified Professional Quantitative Business Analyst (CPQBA)

Total Credits 24

Project Term - 3 Months
  • Desk Research
  • Project Work (PWEX1C)

Total Credits 6

AI Intermediate

Domain-contextualised AI module + workplace artifact

What the Learner Becomes:

AI-Enabled Task Optimiser

Total Cumulative Credits 50

Note :

  • The above course curriculum is subject to revision as per AICTE guidelines from time to time and as per industry updates.
  • Exams would be conducted during the January and July exam cycles.
  • All the Exams at MITSDE (Internal & External) are in the form of Multiple Choice Questions.
  • Student will have to attempt all the components in the Learning Management System and submit TWO Quizzes (30 marks each) for each subject.
  • Internal Examinations carry 60% marks (2 Quizzes of 30 Marks each) and External Proctored Exam carry 40% weightage (passing criteria for both internal & external exam is 50%).

Fee Structure

Full course fee (Four semesters)

INR 1,00,000/-

Inclusive of all taxes

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Scholarship

Alumni

up to 25% in course fees.

Defence personal

up to 30% in course fees.

Specially Abled

up to 20% in course fees.

Fees Options

  • Installment 1
  • Installment 2
  • Installment 3

Course fee - Installment

  • At the time of admission ₹ 30,000/-
  • Within 3 months - ₹ 32,500/-
  • Within 6 months - ₹ 32,500/-
  • Special Discount - ₹ 5,000/-

Course fee – Lumpsum ₹1,00,000

Discount ₹ 10,000/-

Total lumpsum – ₹90,000/-

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Note :

  • Students are required to pay an additional Exam Fee of ₹750 per paper and a Project Evaluation Fee of ₹2,000.

For Installments

  • First Installment needs to be paid at the time of admission.
  • Second Installment needs to be paid within 3 months from the date of admission.
  • Third Installment needs to be paid within 6 months from the date of admission.

After completing the PGDM Executive in Business Analytics, professionals are equipped to take on senior and leadership roles that require a blend of strategic and analytical expertise.

    Career Opportunities Include:

  • Business Analytics Manager
  • Data-Driven Strategy Lead
  • Senior Business Analyst
  • Operations and Process Optimization Manager
  • Marketing Analytics Head
  • Financial Analytics Consultant
  • Product Strategy and Insights Manager
  • Business Intelligence Specialist
  • Analytics Consultant for Corporates or Startups

The programme opens doors to industries such as banking, IT, consulting, e-commerce, manufacturing, healthcare, and logistics, where data-driven decision-making is central to success.

Frequently Asked Questions

Graduates with a minimum of 5 years of professional experience across any sector can apply.

The course is a 15-month online programme designed for working professionals.

The programme is delivered entirely online through a flexible learning platform with access to recorded lectures, case studies, and digital resources.

Assessment is based on assignments, online quizzes, projects, and final evaluations focusing on practical applications.

Yes. Learners receive 100% placement assistance, including resume support, interview preparation, and career guidance.

The course provides exposure to analytics tools and techniques for business intelligence, performance tracking, and decision-making (conceptual understanding).

The PGDM Executive is designed for experienced professionals, focusing on strategic leadership, managerial application, and analytics-based business transformation rather than entry-level management training.

ENQUIRY