Post Graduate Diploma in Management (Big Data Analytics)

PGDM-Big Data Analytics

Post Graduate Diploma in Management (Big Data Analytics) is an AICTE approved Two-Year Full-Time programme at Asia Pacific Institute of Management New Delhi.
Data analytics for businesses is given importance throughout the programme. Students will be trained to core managerial concepts, Big Data, data-driven decision making, learning through case studies, hands-on experience to handle various analytical software and toolsfor data visualization, reporting, data manipulation, and statistical analysis. Through this program, the participantswill learn the skills, technologies, applications, and processes to be ready for industry to work as business analysts and data scientists.

PGDM-BDA Programme

The PGDM-BDA program will expose students to statistical concepts, data management, analysing big data, and building intelligent systems using emerging technologies like artificial intelligence, machine learning, deep learning, blockchain and related tools, techniques, and algorithms.

In today’s globalized business environment, data is becoming important part of strategy and decision making from board room to local shop floor. Themajor emphasis will be on providing hands-on training to the students using all major software tools in vogue and working on actual industry projects.

The PGDM-BDA program is a job-oriented demanding program which enhances the career prospects of the students.

Programme Objectives

  • To acquaintthe students with the increasing role of Big Data & Analytics and drawn insights bring to managerial decision making at different levels of Management.
  • Developing analytical skills to work in the diverse set of data driven industries like E-commerce, banking and financial services, customer relation management, operations, supply chain and healthcare etc.
  • Developing analysis & synthesis frameworks for analytical models, strategies, and their deployment in various industries.
  • Enhancing skills to build capabilities among students to work in technological driven environments.
  • Creating optimal data-driven innovative strategies for the organizations or businesses

Self Sponsored Category

First Year (Session 2023-2024) Second Year (Session 2024-2025)
Amount at the time of Registration Within 45 days of Registration 1st Installment - on or before 01st July, 2022 2nd Installment - on or before 01st Oct., 2022 3rd Installment - on or before 01st July 2023 4th Installment - on or before 01st Oct., 2023 Total Amount (Rs.) (1st Year + 2nd Year)
Rs. 75,000/- Rs. 1,20,000/- Rs. 1,00,000/- Rs. 1,75,000/- Rs. 2,25,000/- Rs. 2,00,000/- Rs. 8,95,000

Company Sponsored Category

First Year (Session 2023-2024) Second Year (Session 2024-2025)
Amount at the time of Registration 1st Installment - on or before 01st July, 2022 2nd Installment - on or before 01st Oct., 2022 3rd Installment - on or before 01st July 2023 4th Installment - on or before 01st Oct., 2023 Total Amount (Rs.) (1st Year + 2nd Year)
Rs. 1,50,000/- Rs. 2,00,000/- Rs. 2,00,000/- Rs. 2,75,000/- Rs. 2,75,000/- Rs. 11,00,000/-

Account detail for Fees Payment-

Account Number 004601054460
Branch Name New Friends Colony, New Delhi-110025
Account Type Saving Account
Payable City New Delhi
IFS Code ICIC0000046
Cost of application form: Rs.1200/- for PGDM Big Data Analytics Program

Fee Composition: Tuition fee, Library Charges, Computer Lab, Internet Charges, books and fee for other activities such as Placement activities, Seminars, Workshops, Conferences, etc.

Fee Payment Details: The fee can be paid by Demand Draft drawn in favor of “Asia-Pacific Institute of Management” payable at "New Delhi". Student must write his/her name and phone numbers on the back side of Demand Draft and send it of the address of the Institute. Alternatively, students can also deposit the fees by RTGS/NEFT for credit of Asia Pacific Institute of Management.

The PGDM-BDA program course fee at Asia-Pacific Institute of Management is considered as one of the best within B-schools of Delhi-NCR region, it includes tuition fee and other related costs.

Essential courseware will be provided to the students from the well-stocked book bank of the campus library for the duration of the course on returnable basis. The academic fees is payable in installments as communicated in the admission offer letter.

Post Graduate Diploma in Management (Big Data Analytics)

A Post Graduate Diploma in Management-Big Data Analytics (PGDM-BDA) is a Two Year full-time Diploma course offered by the Institute that is recognized by the All India Council for Technical Education (AICTE), Ministry of Education, Government of India.

Programme Structure and Credits: Course & Credit Briefings

The Programme structure and credit of Post Graduate Diploma in Management (Big Data Analytics) is designed as per AICTE. The concept of credits is used to indicate the number of in-class contact hours in a course, and thus to define the weight age of a course. One credit equals 10 in-class contact hours. The rule of the thumb is that a 3.0 credit course involves around 100 hours of work–30 hours in the classroom, and the rest for preparation and assignments.

Asia-Pacific Institute of Management student is required to do 102 credits (in total) for the award of Post Graduate Diploma in Management (Big Data Analytics). Out of the required credits, 90 credits come from classroom teaching and the balance 12 credits from summer internship & Project work on Big Data Analytics.

Year and Term Wise Credit Course Structure

First year
Term-1 21 credits (core)
Term-2 16 credits (core)
Term-3 24 credits (18 credits from Core courses + 6 credits from Electives)
Second year
Term-4 21 credits (Electives)
Term-5 12 credits (Electives)
Term-6 8 credits
TOTAL 102 credits

Summer internship Programme (SIP) & Project work is a complementary component of the PGDM-BDA programs.
Courses in PGDM-BDA

Courses and Credits

PGDM Courses Number of credits
First year (I, II, III terms) 61 credits of core courses
Second year (IV, V,VI terms) 29 credits of electives
Internship/ field work/Project work 12 credits
Total 102 credits

The Courses & their Area along with their Credits offered to the students in the First Year is mentioned below:


S.No Name of the Course Area Credits
1 Basics of Data Science Data Analytics 3.0
2 Business statistics Statistics 3.0
3 Marketing Management-I Marketing 2.0
4 Human Behaviour in Organizations OB & HR 2.0
5 Data Analytics for Decision Making Analytics 3.0
6 Quantitative Techniques QT 3.0
7 Managerial communication Communication 3.0
8 Financial Accounting Finance & Accounting 2.0
Total Credits 21.0


S.No Name of the Course Area Credits
1 Written Analysis and Communication Communication 3.0
2 Data Exploration with Analytical Tools Information Technology 2.0
3 Management Technology Systems (MIS) Information Technology 3.0
4 Marketing Management-II Marketing 1.0
5 Human Resource Management OB & HR 1.0
6 Organizational Design and Change OB & HR 1.0
7 Business Research Methods QT & OM 1.0
8 Cloud Computing & HPC Applications Information Technology 3.0
9 Operations Management QT & OM 1.0
Total Credits 16.0


S.No Name of the Course Area Credits
1 Languages & Tools of Data Science Analytics 3.0
2 Data Visualization Information Technology 3.0
3 Digital Commerce Information Technology 3.0
4 Project Management QT & OM 3.0
5 Strategic Entrepreneurship and New Age Business Models Strategy 3.0
6 Applied Programming Analytics 3.0
7 Elective-1 Advanced Analytics Analytics 3.0
8 Elective-2 Web Analytics Analytics 3.0
Total Credits 24.0


S.No Name of the Course Area Credits
1 Business forecasting Analytics 2.0
2 Descriptive Analytics Analytics 2.0
3 Predictive Analysis with Modeling Analytics 2.0
4 Digital Economy and Emerging Business Models Analytics 2.0
5 Data Analytics Using R Analytics 3.0
6 Artificial Intelligence in Business Analytics 2.0
7 Marketing Analytics Analytics 2.0
8 SIP Analytics 6.0
Total Credits 21.0


S.No Name of the Course Area Credits
1 Advance Data Visualization Analytics 3.0
2 Data Mining and Business Intelligence Analytics 3.0
3 Advance Prescriptive Analytics Analytics 3.0
4 Machine Learning Analytics 3.0
Total Credits 12.0


S.No Name of the Course Area Credits
1 Block chain and its Business Application Strategy 1.0
2 Big Data using Spark Analytics 1.0
3 Data Analysis with Python (project work ) Analytics 6.0
Total Credits 8.0


From Term-3 in the First Year, students will be required to undertake Elective courses. A student enrolled in the PGDM (BDA) program, is required to complete 47 credits from the Elective courses spread over Term-3 to Term-6 in the Second year of the Two Year Program.

In order to provide the opportunities to students to specialize in their Area of choice, each sentient area will offer Elective courses. The Sentient Area may specify certain Elective courses as Specialization Area Pre-requisite (SAPR) courses that must be taken by those students who have chosen that Area to Specialize in.

The Elective courses will be offered by the following Sentient Areas:

  • Advanced Analytics
  • Programming with Python
  • Business forecasting
  • Descriptive Analytics
  • Predictive Analysis
  • Digital Economy and Emerging Business Models
  • Data Analytics Using R
  • Artificial Intelligence in Business
  • Marketing Analytics
  • Data Visualization for mangers
  • Data Mining and Business Intelligence
  • Advance Prescriptive Analytics
  • Machine Learning
  • Block chain and its Business Application
  • Data Warehouse and SQL
  • Data Analysis with Python (project work).
  • Advance Data Visualization
  • Big Data using Spark



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