PGDM Business Analytics Program, Fees, Admission, Syllabus, Career

Admissions 2026-28 Apply Now

PGDM in Business Analytics

Every industry – from retail and finance to healthcare and logistics relying on data to drive its decisionmaking processes. Businesses are facing the challenge of extracting actionable insights from large data. Many companies lack the expertise to analyze the Data effectively and translate findings into business strategies. This gap has created a need for professionals with analytical expertise to develop business strategy and guide the organizational decisions.

The need for decisions based on real-time data to stay competitive. The rise of technologies like artificial intelligence, machine learning, and predictive analytics are reshaping businesses operations, Thus, Business Analytics Programme gains significance in today’s competitive world. To keep abreast IPE Launched its twoyear AICTE approved full time PGDM – Business Analytics Program for the academic year 2024-25 with an intake of 60.

Candidates for this programme are selected based on their academics, performance in GDPI, and the competitive valid score in CAT / XAT / MAT / ATMA / CMAT / GMAT and any other test approved by AICTE.

Programme Educational Objectives

To equip the Graduates with a comprehensive understanding of key business functions and imbibe the ability to integrate knowledge with advanced analytical and data-driven techniques to identify and solve complex business problems.
To prepare Graduates with strong analytical skills to use modern technological tools for analyzing and interpreting large datasets, thereby enabling informed and effective contextual decision-making.
To enable the Graduates think innovatively to identify the opportunities and drive organizational growth, and to develop entrepreneurial skills to encourage the startup ventures,
To develop strong communication skills in Graduates to work collaboratively and to effectively present data-driven insights and business strategies to various stakeholders enhancing their impact in the business analytics domain.
To train the Graduates to become responsible leaders and ethical decision-makers, with a keen understanding of both domestic and global business dynamics, with commitment to sustainable practices that benefit organizations and society.

Programme Outcomes

Graduates will demonstrate a holistic understanding of core and contemporary management concepts and analytics principles
Graduates will be able to identify business problems, formulate related analytical models and evaluate their capability in addressing intricate business issues.
Graduates will exhibit critical thinking abilities and reasoning skills to analyse the problems that are needed for designing and recommending innovative solutions for multifaceted business problems using advanced analytics techniques and for developing data-driven strategies for the processes to meet the specified needs.
Graduates will demonstrate their skill of using predictive modelling techniques, modern analytical approaches including software languages and data visualization tools and their scope.
Graduates will develop an understanding of the environmental (GLOCAL) impact of businesses and apply management and analytics knowledge to create innovative and sustainable solutions for future generations.
Graduates will recognize and absorb the importance of lifelong learning, individual skills and team skills, in response to the continuous analytical and technological changes in the dynamic business environment.
Graduates will proficiently exhibit oral and written communication skills tailored to local and multinational organizational environments.
Graduates will demonstrate professionalism, entrepreneurial acumen, ethical conduct, leadership, and resilience while collaborating with diverse stakeholders and addressing the managerial challenges.

Programme Educational Objectives

To equip Graduates with a comprehensive understanding of key business functions and imbibe in them the ability to integrate this knowledge with advanced analytical and data-driven techniques to identify and solve complex business problems.
To prepare Graduates with strong data analytical skills using modern technological tools to analyse and interpret large datasets, thereby enabling informed and effective decision-making in various business contexts.
To enable Graduates to cultivate innovative thinking, entrepreneurial skills and apply them for various business situations to identify opportunities, develop startup ventures, and drive organizational growth and transformation in a competitive global market.
To develop Graduates with strong communication skills to work independently and collaboratively with diverse teams, and to effectively present data-driven insights and business strategies to various stakeholders, thereby enhancing their impact in the business analytics domain.
To train Graduates to exhibit responsible leadership and ethical decision-making, with a keen understanding of both domestic and global business dynamics, and a commitment to sustainable practices that benefit organizations and society.

Program outcomes

Graduates will demonstrate a holistic understanding of core and contemporary management concepts and analytics principles
Graduates will be able to identify business problems, formulate related analytical models and evaluate their capability in addressing intricate business issues.
Graduates will exhibit critical thinking abilities and reasoning skills to analyse the problems that are needed for designing and recommending innovative solutions for multifaceted business problems using advanced analytics techniques and for developing data-driven strategies for the processes to meet the specified needs.
Graduates will demonstrate their skill of using predictive modelling techniques, modern analytical approaches including software languages and data visualization tools and their scope.
Graduates will develop an understanding of the environmental (GLOCAL) impact of businesses and apply management and analytics knowledge to create innovative and sustainable solutions for future generations.
Graduates will recognize and absorb the importance of lifelong learning, individual skills and team skills, in response to the continuous analytical and technological changes in the dynamic business environment.
Graduates will proficiently exhibit oral and written communication skills tailored to local and multinational organizational environments
Graduates will demonstrate professionalism, entrepreneurial acumen, ethical conduct, leadership, and resilience while collaborating with diverse stakeholders and addressing the managerial challenges.

Programme Architecture - First Year

Trimester I

Management and Organizational Behaviour
Business Statistics for Decision Making
Economics for Managers
Accounting for Managers
Marketing Management
Information Technology for Managers
Personality Development and Business Communication

Trimester II

Human Resource Management
Operations Research
Corporate Finance
Macro Economics
SQL for Managers
Business Analytics for Managers Using R
Big Data for Business Decisions
Priming for Placements (Business Aptitude)

Trimester III

Production and Operations Management
Cost and Management Accounting
Marketing Research
Start-Ups and Entrepreneurship Development
Machine Learning using Python
Data Analytics Using SAS
Data Visualization and Story Telling
Foreign Language – French
Comprehensive Viva

Programme Architecture - Second Year

Trimester I

Management and Organizational Behaviour
Business Statistics for Decision Making
Economics for Managers
Accounting for Managers
Marketing Management-I
Information Technology for Managers
Personality Development and Business Communication

Trimester IV

Strategic Management
Business Applications using Deep Learning and Artificial Intelligence
Social Media and Web Analytics
Business Analytics

Electives

Subject 1
Subject 2

Trimester VI

Corporate Governance, Business Ethics and CSR
Project Management
Long Term Research Project & Viva

Elective wise list of subjects

Finance Electives

Trimester IV	Trimester V
Financial Analysis and Credit Management Financial Modelling Security Analysis and Portfolio Management Tax Planning and Management Corporate Restructuring, Mergers and Acquisitions Strategic Cost Management Fixed Income Securities Financial Econometrics Financial Markets, Institutions and Services Financial Analytics	Risk Management Derivatives and Structured Finance Financial Planning and Wealth Management Entrepreneurial Finance Strategic Financial Management Foreign Exchange Arithmetic Private Equity Mutual Funds

Marketing Electives

Trimester IV	Trimester V
Product & Brand Management Customer Relationship Management Digital & Social Media Marketing Integrated Marketing Communications Strategic Marketing Marketing Analytics	Sales and Distribution Management Global Marketing Management Social Marketing Consumer Behavior Services Marketing Rural and Agricultural Marketing

HR Electives

Trimester IV	Trimester V
HR Analytics Cross-cultural Management Competency Management Contemporary Issues in HRM Learning and Development	Talent Management Strategic Human Resource Management HR Auditing Leadership and Change Management Industrial Relations Organization Development

Operations Electives

Trimester IV	Trimester V
Supply Chain Management Management of Service Operations Optimization Models for Industry Operations Analytics Operations Strategy	Total Quality Management Strategic Sourcing Warehouse Management Technology and Innovations Management Advanced Inventory Modelling Lean Management

Business Analytics Electives

Trimester IV	Trimester V
Marketing Analytics Operations Analytics Financial Analytics HR Analytics Data Science and Machine Learning Business Intelligence and Data Visualization SQL for Data Science Cyber Security and Cyber Laws Predictive Analytics Data Mining for Business Decisions	Big Data Analytics IOT Data Management and Analytics Cloud Computing for Business Artificial Intelligence and Deep Learning Block Chain Technology for Business

Systems Elective

Trimester IV	Trimester V
Management Information Systems E-Commerce Advanced Excel for Statistical Data Analysis	IT Infrastructure Enterprise Resource Planning Digital Governance

Economics Electives

Trimester IV	Trimester V
Public Finance International Economics Monetary Economics	Industrial Economics Urban Economics Environmental Economics

Entrepreneurship Electives

Trimester IV	Trimester V
Entrepreneurial Finance Social Entrepreneurship and Social Innovation Family Business Management	Corporate Entrepreneurship Creativity, Innovation, and Entrepreneurship Detailed Project Report (DPR) – Compulsory in nature

The list of subjects is indicative. The Institute reserves the right to make modifications at any point during the programme as per the market needs.

Eligibility Criteria for PGDM Course

To apply for the PGDM course, candidates must meet the following PGDM course eligibility criteria laid down by IPE India:

Bachelor’s Degree, with at least 50% marks or equivalent CGPA. (45% in case of SC/ ST/PC candidates), from a UGC recognized university / deemed university recognized by the Ministry of Education,GoI.
Relevant score in one of the recognised entrance examinations: CAT, XAT, MAT, ATMA, CMAT, or GMAT.

All candidates from all streams are welcome to apply because the curriculum encourages interdisciplinarity and diversity. The inclusive PGDM course eligibility criteria make it ideal for freshers and working professionals.

PROGRAM’S PLACEMENT OPPORTUNITIES

By design, this program facilitates placement of candidates in banks, financial Institutions, insurance sector and other non-banking financial companies and financial departments of corporations. The faculty and students actively participate in placements in collaboration with the Placement Division. Some of the companies that regularly recruit PGDM – BIF students include Tata Consultancy Services, Capital First, KPMG, Deloitte India, Axis Bank, Cognizant, SBI Life Insurance Co. Ltd., State Bank of Hyderabad, Bank of Baroda, Karur Vysya Bank, Axis Bank, Capital IQ, Crecer Financial Services, Franklin Templeton, IndusInd Bank, ING Vysya Bank, ICICI Securities Ltd., ICICI Securities, IIFL, etc.

Fee Structrue

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FOR THE YEAR 2026 - 2028

Scholarship Details

PGDM in Business Analytics