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Tech Mahindra along with FORE School of Management, New Delhi will prepare the future Big Data Engineers to fulfill the market demand.

11 Months -

Total 200 Hrs of Learning


Tuesday & Thursday

07:00 pm - 09:30 pm


INR 1,20,000

3 Easy EMI

Course Fee

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Why to Take


Applications of Big Data transcend disciplines. Use of predictive analytics pervades diverse disciplines as oil and gas, marketing and sales, sports, molecular biology, drug-designing, waste management, finance and the list is very long. Smart cities, for example, are the melting pot where variety of big data technologies mesh with one another to transform a city into a semi-intelligent being. In Marketing and Sales, for example, Big Data is fast emerging as a potent tool to gain deeper insights into Customer behavior and thereby act as a strong driver in spurring innovation. In manufacturing, operations managers are employing advanced analytics on historical process data to identify patterns and relationships among discrete process steps and inputs, and then optimize the factors that prove to have the greatest effect on yield.FORE School of Management New Delhi along with Tech Mahindra Growth Factories Ltd, will prepare the future Big Data Engineers to fulfill the market demand.





3rd & 4th year students currently enrolled in Engineering / PGDM/ MBA or any graduate or post-graduate program who have had an introductory course in Mathematics & statistics. These students can look forward to better placement opportunities with added skill set.

Ambitious Executives (from Private/Public sectors) with 0-3 year of experience looking forward to sharpening their skills in making sense of data in order to innovate and add more value to their organization and to society.

Techniques taught to them will have applications in a broad array of disciplines.

Why Education Lanes

Course Fee

INR 1,20,000

for 11 Months

3 Easy EMI Option

Interactual Learning Platform

Financial Saving


Convenient Schedule

24 Hours Support

Bring Education to your Home


  • Pedagogy will Involves:1.Online Classroom Learning(live interactive sessions, Case Studies, Assessments).
  • Virtual Machine (VM) having Big Data Lab(Working on tools like Hadoop, Spark, Hive, Tableau).
  • Interactive Sessions by Industry Experts
  • Capstone Project(solving real-world problem using a range of techniques & tools).

Course Module


11 Months -

200 Hrs of Learning

Business Statistics & Basic of Database Management Systems

Data Mining & Data Analytics

Data Visualization using Tableau

Introduction to Optimization Technique

Customer Analytics

Student Interpersonal Skill Development Session

Hadoop & Kalfa Ecosystem

Machine Learning Algorithm

No Sql and Graph Database

Deep Learning & Artificial Intelligence

About Faculty

Prof. Shilpi Jain

Program Director

Shilpi Jain is a Professor of Business Administration in the Information Technology Department at FORE School of Management, and the faculty chair of Computer Center Advisory and Purchase Committee. She also serves on the institutions’ Research Committee. Prof. Jain has held research positions in a variety of functional areas. During her stint at Infosys Research Labs, she has designed prototypes for virtual teams enabling paired programming, country risk analysis framework, and a prototype for dynamic resource sharing across geographies. Her current research is in applied and empirical software engineering, user behavior on social media & e-commerce, digital inclusion at grassroots level, and adoption of disruptive technologies, which includes digital currency, gamification, and enterprise systems on cloud. She chairs several executive education programs on e-commerce strategies, disruptive technologies, managing business on cloud, data summarization, and business storytelling with data.

Prof. Ashok Kumar Harnal

Dr. Jitendra K. Das

Prof. Dmitri Adler

Faculty Profile

Prof. Rakhi Tripathi

Prof. Hitesh Arora

Prof. Hitesh Arora

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