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

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.

FOR THE YEAR 2026 - 2028

Contact Persons

Prof K. V Anantha Kumar

Programme Head – Business Analytics

+91 91542 54043
[email protected]

Contact Persons

Dr M A Nayeem

Assistant Professor &
Co-Programme Head – PGDM – Business Analytics

+91 98484 22633
[email protected]