PGDM Business Analytics and Big Data

The PDGM Business Analytics and Big Data program by ASM’s IBMR is designed to give students what they seek in a business program:relevance, flexibility and connections to the ‘real world’ along with core business knowledge, practical experience, communication, teaming skills, the ability to manage change, and a global perspective.ASM students are trained and certified through the EDGE program in latest technologies like Business Analytics by IBM. The HBX CORe program from Harvard Business School gives you the skills required to succeed in today’s workplace.


2-year full-time AICTE approved program

Jointly awarded by IBM

Subject matter experts from IBM

Technical analytics skills that drive success

100% Placement Assurance

ASM EDGE Advantage

ASM’s EDGE for PGDM Business Analytics and Big Data

Intensive research has led ASM to initiate a unique focused program designed to enhance employability of ASM Students by providing them holistic cutting edge certification of the latest in demand skills in association with the leading corporates and top business schools in the world.

  • ASM’s EDGE is integrated into the program to offer credible and beneficial industry certifications
  • EDGE bridges the gap between fresh graduates & skills required by the global industry
  • The program modules are co-designed, co-developed, co-delivered by IBM
  • ASM students are trained and certified in Business Analytics by IBM
  • Under EDGE students are trained to be global business leaders and will be a cut above the rest


In recent times, there has been a sudden rise in demand of business analytics. The prime reason behind this surge is the data driven and techno focused approaches that majority of organizations have willingly embraced.

The PGDM in Business Analytics and Big Data aims at creating industry ready Professionals to bridge the skill gap. Given the soaring demand and lack of skilled manpower, the course jointly certified by IBM, ensures the PGDM graduates are equipped with the right kind of skills and expertise in Business Analytics to fit into every kind of industry.

The course is supplemented with inputs to improve skills for guaranteed employability through the ASM’s EDGE program that includes Business Leadership through the HBX CORe program of Harvard Business School, industrial skills on SAP user modules, online courses and case studies from Harvard Business Publishing.

The program is designed to ensure employability through various industry certifications for domain & technical skills, industry visits, internships, soft skills, industry mentoring, interaction with global leaders & international internships.


Statistics – I, II

Future Direction
to Analytics


Over view of Business
Analytics & Optimization

Predictive Analytics
using IBM tool SPSS

Big Data Analytics
for Business Analytics

Basics of
Big Data Analytics

Descriptive Analytics
using IBM Congos

Enterprise Budgeting &
Management using IBM TM I

Overview of Social Networking Analytics,
Text Mining, Risk Analytics,
Marketing Analytics


Following are the top reasons why students should pursue post graduate program in business analytics and big data in Pune from ASM’s IBMR, which is one of the topmost management schools in India.

  • Students are trained to be professionals in one of the most lucrative and in demand fields of Business Analytics.
  • Opportunity to study from the best in academia and industry.
  • IBM content delivered through case study and live projects with hands on training provided by IBM subject matter experts.
  • Mentors from IBM gives you capstone projects to gain insight of analytics sector wise.
  • 360 grooming throughout the year for the students to make them the most sought-after candidates.
  • Internships leading to 100% assured placements.
  • State-of-the-art IBM analytics lab on campus, to bring out the best hands on experience.

ASM Students Have Consistently Proven to be Industry- Ready Professional with Well-Rounded Abilities

Co-curricular Activities | Interactive Business | Inter-collegiate Competition | Extracurricular Activities | Mentoring & Counselling | Case Studies | Seminars | Industry-interfacing | Study Tours | Presentations | Workshops | Outdoor Team Building Exercise | Inter-collegiate Competitions | Industry Visits

Admission to PGDM Institutions shall be made only from the candidates qualified from any one of the six All India tests i.e.; CAT, XAT, CMAT, ATMA, MAT, GMAT or the common entrance examinations (if any) conducted by the respective State Governments.

  • Score in any one of the six All India tests i.e. (CAT, XAT, CMAT, ATMA, MAT, GMAT) the common entrance examinations (if any) conducted by the respective State Governments. – 35 to 60%.
  • Score for academic performance in X Std., XII Std., Under Graduate Degree/ Post Graduate Degree – 5 to 25%.
  • Group discussion/interview – 20 to 45%.
  • Weightage for participation in Sports, Extra-Curricular activities, Academic diversity and Gender diversity – 5 to 20%.
  • Candidate having minimum 50% aggregate in graduation (45% in case of reserved category) from a recognized university and having valid CMAT/CAT/MH-MBA-CET scores are eligible to apply for the PGDM program.

The program comprises of intensive classroom learning held at our Pune campus, along with Industrial Training and Internship delivered in association with top industry partners.

Year 1

Trimester 1

101 Essentials of Business Management

102 Management Information System

103 Business Analytics

104 Financial Accounting

105 Economics for Managers

Trimester 2

201 Management of Business Operations

202 Human Resource Management

203 Global Managerial Business Communication

204 Over view of Financial Management

205 Business Statistics – I

206 Applied Managerial Business Economics

Trimester 3

301 Overview of Marketing Management

302 Business Environment – Indian & World Economy

303Materials & Supply Chain Management

304 Business Statistics – II

305 Future Direction to Analytics

Industrial Training

Internship program of two & half months

Year 2

Trimester 1

401Cognitive Analytics

402Over view of Business Analytics& Optimization

403Predictive Analytics usingIBM tool SPSS

404Basics of Big Data Analytics

405Elective – I

Trimester 2

501 Descriptive Analytics using IBM Congos

502 Enterprise Budgeting & Performance

503 Management using IBM TM I

504 Overview of Social Networking Analytics, Text Mining, Risk Analytics,

Marketing Analytics

505 Big Data Analytics for Business Analytics

Elective – II

Trimester 3

Industrial Apprenticeship Leading

to 100% Placements

Specializations (Electives)

·         Human Resource Management

Elective I – Performance Analytics, HR Score | Elective – II – HR Analytics

·         Marketing

Elective I – Digital & Online Marketing | Elective II – Marketing &Advertising Analytics

·         Finance

Elective I – Decisions Models in Finance

Elective II- Financial Analytics using Risk Management

·         Supply Chain Management

Elective I – supply Chain Management | Elective II – Supply Chain Analytics


Mr. Himanshu Goyal

Country Manager Computer Service Industries,
Software Group || IBM India South Asia


Apurva Chamaria

Vice President


Amaralingeswara Rao Kaka

M.Tech, Computer Science,
Jawaharlal Nehru University, Delhi


Haresh Krishna Kumar

Country Manager-HP

We have a rich blend of core, international, and industry faculty that deliver the program using innovative and experimental pedagogy and state-of-the-art learning management systems (LMS). To know the full list of faculties for this program click below.

Curriculum for the program in developed & delivered in association with top global academic partners.

The analytics market in India is expected to double from current $1 billion to $ 2.3 billion by the end of 17-18 as per NASSCOM’s industry reports. Moreover, Forbes reported that IBM has predicted that the annual demand for analytics jobs will soar up to 28% i.e. nearly 700,000openings by 2020. Therefore, graduates with PGDM in Business Analytics & Big Data in Pune, India will be looking at niche opportunities like:

  • Data Scientist/Analyst
  • Quantitative Analyst / Modeler
  • Data Business Analysis
  • Business Analyst: Manager or Consultant

A Never Before Opportunity in Organisations Like: