Post-Graduate Diploma in Management
(Big Data Analytics)
About Programme
PGDM (Big Data Analytics) is an AICTE-approved two-year full-time specialized programme for any graduates who are passionate about shaping a career in Big Data Analytics. In the first year, students complete core courses that provides a thorough, and integrated foundation in management & big data analytics essentials and summer internship while in the second year they get exposure and hands-on experience on recent technologies related to big data analytics and some elective courses of technology and management domains. At the same time, students also get exposure to independent projects, seminars, and finally, end with industry project of 4-month duration. The idea behind industry project is to leave an impact on the recruiters on the program’s delivery and to create confidence and empower students to face “real world” challenges.
Programme Intake – 60
Big Data Analytics
Global Big Data and business analytics market stood at US$ 169 billion in 2018 and is projected to grow to US$ 274 billion by 2022. Big Data Analytics is a fastest growing field now a days, and as more and more businesses are acknowledging the need to implement Big Data Analytics into their day-to-day operations. There is an ocean of opportunities for Big Data Analytics Professionals in the global market.
PGDM in Big Data Analytics programme focuses on cutting edge tools and technologies like Big Data Analytics, Machine Learning Techniques & Application, Python / R for Future Managers, Business Analytics, Intelligence & Forecasting, Enterprise Data Visualization, Data Warehousing and Data Mining, Deep Learning and Reinforcement Learning, Social Media and Social Networks Analytics, Time series and Forecasting Techniques & Analysis, Natural Language Progressing, Blockchain Technology and Cyber Terrorism and so on.
The acquired skills evolve aspirants to shape their future as Data Analyst/ Big Data Analyst, Data Scientist, Data Manager, Business Consultant, Data Architect, Analytics Associate, Analytics Manager, Business Intelligence and Analytics Consultants, Risk Analyst, Data Engineer etc.
Importance of Big Data Analytics
- Discovery of hidden and unseen patterns
- Increase Efficiency
- Market Understanding
- Cost Reduction
- Faster and Better Decision Making
- Build New Products etc.
Industries Using Big Data Analytics
- E-commerce
- Telecom
- Healthcare
- Banking and finance sector
- Manufacturing
- Insurance
- Retail
- Consulting
- IT
- Oil
- Gas
- Automobile
- Airline
- Government
- NGOs
- Media and entertainment
Jobs opportunities after completion of PGDM in Big Data Analytics
- Business Consultant
- Data Architect
- Data Analyst/ Big Data Analyst
- Analytics Associate
- Analytics Manager
- BI and Analytics Consultants
- Data Scientist
- Data Manager
- Risk Analyst
- Data Engineer
- Metrics and Analytics Specialist
Possible Leading Recruiters of Big Data Analytics
- Accenture
- Adani
- ICICI
- Aptus Data Labs
- Bombardier
- Capillary
- Crayon data
- Deloitte
- Ernst and Young
- Global Analytics
- IBM
- Infosys
- KPMG
- Panasonic Life Solutions
- PwC
- Quantiphi
- Reliance Group
- Subex
- TCS
- Tech Mahindra
- Tiger Analytics
Why join @ AIDTM?
- AICTE approved programme
- Guided by inspirational leadership of Adani group
- Bouquet of industry experienced faculties
- Globally benchmarked curriculum
- Galaxy of renowned experts from IIMs/IITs/Top notch industries
- State-of-art infrastructure
- Corporate exposure
Pedagogy
- Use Case Discussion & Analysis
- Lectures
- Presentations
- Group Exercises
- Simulations
- Role Plays
- Project Work
- Industrial Visits
- Capstone Project
Term Wise Credit Course structure
The AIDTM implements the concept of credits to specify the number of in-class contact hours in an offered course, and one credit equals 10 in class contact hours in a course.
Thus, a 3-credit course involves around 100 hours of efforts; out of which 30 hours in the classroom, and remaining for assignments, preparation, and beyond classroom learning.
Core Management Courses
| Term I | Term II | Term III |
|---|---|---|
| • Managerial Communication | • Management Matrices | • Strategic Management |
| • Business Economics | • Business Research | • Production & Operation Management |
| • Financial Statements & Reporting | • Indian Business Environment | • International Finance & Forex Mgmt. |
| • Ideation & Conceptualization | • Corporate Finance | • Business Models Canvas |
| • Human Resource Management | • Organization Development & Dynamics | • Legal Aspects of Business |
| • Quantitative Techniques | • Marketing Management | • Consumer Behavior |
| • Marketing Communication |
Core BDA Courses
| • Decision Sciences – I | • Decision Sciences - II | • Time series and Forecasting Techniques & Analysis |
| • Information Technology Tools & Systems | • Python / R for Future Managers | • Big Data Analytics & Data Science |
| • Data Warehousing & Technology |
Elective Course for Term IV / V
| • Business Analytics, Intelligence & Forecasting | • Managing a Large-scale Data Analytics Project | • Digital Disruptions by Distributed Blockchain Technology |
| • Data Mining for Business Decision | • Building a Data-driven Startup | • Application of Deep Learning and Reinforcement Learning in Decision-making |
| • Machine Learning Algorithms, Techniques & Application | • Data Privacy and Trust Model | • System Design and Thinking |
| • Natural Language Progressing | • Price Analytics | • Social Media and Social Networks Analytics |
| • Enterprise Data Visualization | • Marketing Analytics | • Cyber Warfare, Cyber Terrorism, Cyber Crime |
| • Supply Chain Analytics | • Sports Analytics | • Multivariate Data Analysis |
| • Digital Media Analytics | • HR Analytics | • Cloud Computing |
| • Augmented and Virtual Reality | • Optimization Techniques for Data Analytics | • Healthcare Analytics |
