Executive Program in Business Analytics - AIDTM

The Executive Program in Business Analytics (EPBA) from AIDTM is a comprehensive one-year program designed for working professionals. It combines theoretical foundations with practical applications in data analytics, machine learning, and business intelligence through industry-led instruction and hands-on projects.

Instructors:

Ms. Dulari Bhatt

Mr. Utkarsh Sharma

English

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Duration:
12 Months

₹ 1,60,000

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Overview

AIDTM's Executive Program in Business Analytics offers comprehensive training in data analytics and business intelligence. This 12-month program combines theoretical knowledge with practical applications through industry-led instruction and real-world projects.

Why Technology & Analytics?

The program stands out for its industry-focused curriculum, expert faculty from the Adani Group and partner organizations, and emphasis on practical skill development. Features include a 6-week virtual capstone project, comprehensive tools coverage, and flexible learning options.

What does this course have to offer?

Key Highlights

Industry expert faculty
360+ total learning hours
6-week capstone project
Optional campus classes
Real-world assignments
Comprehensive tools coverage
Industry-relevant curriculum

Who is this programme for?

Working professionals in analytics
Technology professionals
Business analysts
Data science aspirants
Professionals with 3+ years experience

Minimum Eligibility

Bachelor's or Master's degree in Engineering/Technology/Statistics/Commerce/Mathematics/Science
Minimum 3 years work experience
Currently employed
No programming prerequisites

Who is the programme for?

The program follows a comprehensive selection process based on academic background and work experience. Participants must maintain attendance requirements and complete assignments, quizzes, and projects for successful completion.

Important Dates

Selection process

How to apply?

Curriculum

The curriculum covers key areas including Statistics, R Programming, Python, Power BI, Business Forecasting, Big Data Analytics, Machine Learning, and Cyber Security. The program includes hands-on assignments and a capstone project.

There are 12 semesters in this course

The program comprises twelve modules covering fundamental and advanced analytics concepts. Key areas include Basic Statistics, Programming Languages (R and Python), Business Intelligence tools (Power BI), Time Series Analysis, Machine Learning, and Cyber Security. The curriculum integrates theoretical concepts with practical applications through assignments and projects.

Module 1: Introduction to Business Analytics

1 Weeks to complete · 4 lectures

Module 2: Basic Statistics and Probability

4 Weeks to complete · 16 lectures

Module 3: Basics of R Programming

4 Weeks to complete · 16 lectures

Module 4: Fundamentals of Python

6 Weeks to complete · 24 lectures

Module 5: Power BI

5 Weeks to complete · 20 lectures

Module 6: Business World Implementation Plan for Power BI

4 Weeks to complete · 16 lectures

Module 7: Design Thinking

2 Weeks to complete · 8 lectures

Module 8: Time Series Models in Business Forecasting & Spreadsheet

6 Weeks to complete · 24 lectures

Module 9: Big Data Analytics

4 Weeks to complete · 16 lectures

Module 10: Machine Learning

4 Weeks to complete · 16 lectures

Module 11: Cyber Security

4 Weeks to complete · 16 lectures

Module 12: Virtual Capstone Project & Career Counselling

6 Weeks to complete · 24 lectures

Programme Length

One year with weekend classes every Sunday from 4:30 PM to 7:00 PM, including optional campus modules.

Tuition Fee

The total program fee is INR 1,50,000 (including GST) with additional campus charges of INR 10,000. EMI options are available for convenient payment.

Fee Structure

Payment options

Learning Experience

Students experience a blend of live online sessions (130+ hours), self-paced learning, and optional campus classes. The program includes practical assignments, projects, and dedicated doubt-solving sessions.

University Experience

Participants benefit from AIDTM's resources and industry connections. The program includes optional campus modules and networking opportunities with industry professionals.

University

About the University

Established in 2020 by the Adani Group, AIDTM focuses on creating employable professionals in the fields of Big Data Analytics and Technology Management. The institute is dedicated to bridging the gap between innovative ideas and practical applications in technology. AIDTM offers rigorous programs designed to equip students with the necessary skills and knowledge to excel in rapidly evolving industries.

3

Total Programs Offered

60

PGDM (BDA) Seats

60

PGDM (TM) Seats

Affiliation & Recognition

All India Council for Technical Education

All India Council for Technical Education

National Board of Accreditation

National Board of Accreditation

University Grants Commission

University Grants Commission

Career services

AIDTM provides comprehensive career support through its dedicated placement cell, which organizes recruitment drives, pre-placement talks, and workshops. The institute has successfully placed its students with top companies across various sectors, ensuring a smooth transition from academic learning to professional careers.

100%

Placement Rate

8.63 LPA

Average Package

20 LPA

Highest Package

Duration:
12 Months

₹ 1,60,000

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Whom you will learn from?

Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.

Instructors

Ms. Dulari Bhatt

Ms. Dulari Bhatt

Assistant Professor AIDTM

Ms. Dulari Bhatt is an Assistant Professor at AIDTM (Asian Institute of Digital Transformation Management), where she likely focuses on areas related to digital transformation, technology management, and innovation in business practices. Her role involves educating students on the implications of digital technologies in various sectors and preparing them for careers in a rapidly evolving digital landscape.

Mr. Utkarsh Sharma

Mr. Utkarsh Sharma

Visiting Faculty

Mr. Utkarsh Sharma is a Visiting Professor in Big Data Analytics at the Adani Institute of Digital Technology Management. He holds a master's degree from the Jaypee Institute of Information Technology, Noida, and is currently pursuing a Ph.D. in a related field. With over nine years of teaching experience, he has worked at various reputable institutions and has guided numerous undergraduate and postgraduate students in their projects and dissertations. His research interests encompass data analytics, data science, social media analysis, and natural language processing, and he has contributed to the academic community through numerous publications in esteemed journals and conferences, including work published by Elsevier, Springer, and IEEE

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they’re here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Instructors

Ms. Dulari Bhatt

Ms. Dulari Bhatt

Assistant Professor AIDTM

Ms. Dulari Bhatt is an Assistant Professor at AIDTM (Asian Institute of Digital Transformation Management), where she likely focuses on areas related to digital transformation, technology management, and innovation in business practices. Her role involves educating students on the implications of digital technologies in various sectors and preparing them for careers in a rapidly evolving digital landscape.

Mr. Utkarsh Sharma

Mr. Utkarsh Sharma

Visiting Faculty

Mr. Utkarsh Sharma is a Visiting Professor in Big Data Analytics at the Adani Institute of Digital Technology Management. He holds a master's degree from the Jaypee Institute of Information Technology, Noida, and is currently pursuing a Ph.D. in a related field. With over nine years of teaching experience, he has worked at various reputable institutions and has guided numerous undergraduate and postgraduate students in their projects and dissertations. His research interests encompass data analytics, data science, social media analysis, and natural language processing, and he has contributed to the academic community through numerous publications in esteemed journals and conferences, including work published by Elsevier, Springer, and IEEE

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.

What is the program duration?

What is the eligibility criteria?

What are the learning hours?