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AI & Data Science
🔬PG

AI & Data Science

Offered byO.P Jindal Global University
Duration12 Months
Session📅 July'26
Mode💻 Online + Campus

Program Investment

Online Fee₹2,75,000
* Seat Blocking Fee: 10,000 (Adjustable in total fee)
Program Insights

Course Overview

The PG program in AI & Data Science at O.P Jindal Global University is designed to equip students with the knowledge and skills required to succeed in the rapidly evolving fields of Artificial Intelligence and Data Science. This 12-month program covers a wide range of topics, including machine learning, deep learning, natural language processing, computer vision, and data analytics. The program is tailored to meet the needs of working professionals and recent graduates who want to upskill or reskill in AI and Data Science. With a strong emphasis on hands-on learning, industry partnerships, and research, this program provides students with the ideal platform to launch or advance their careers in AI and Data Science.

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Key Learning Outcomes

01

To develop a thorough understanding of the fundamental concepts and techniques in AI and Data Science

02

To acquire hands-on experience with popular tools and technologies used in AI and Data Science

03

To learn how to apply AI and Data Science concepts to real-world problems and industries

04

To develop skills in data analysis, visualization, and communication

05

To prepare students for leadership roles in AI and Data Science

Academic Roadmap

Syllabus & Curriculum

A structured learning path designed for mastery.

5Total Modules
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M1: Introduction to AI and Data Science

This module provides an overview of the basics of AI and Data Science, including machine learning, deep learning, and data analytics

Key Topics

Introduction to AI and Data Science
Machine Learning Fundamentals
Data Preprocessing and Visualization
🎯 Practical Application
📊 Case Studies
🏆 Assessment

M2: Machine Learning and Deep Learning

This module covers the concepts and techniques of machine learning and deep learning, including supervised and unsupervised learning, neural networks, and convolutional neural networks

Key Topics

Supervised and Unsupervised Learning
Neural Networks and Convolutional Neural Networks
Recurrent Neural Networks and Transfer Learning
🎯 Practical Application
📊 Case Studies
🏆 Assessment

M3: Natural Language Processing and Computer Vision

This module covers the concepts and techniques of natural language processing and computer vision, including text processing, sentiment analysis, and object detection

Key Topics

Text Processing and Sentiment Analysis
Object Detection and Image Segmentation
Facial Recognition and Image Classification
🎯 Practical Application
📊 Case Studies
🏆 Assessment

M4: Data Analytics and Visualization

This module covers the concepts and techniques of data analytics and visualization, including data mining, statistical modeling, and data visualization

Key Topics

Data Mining and Statistical Modeling
Data Visualization and Storytelling
Big Data Analytics and NoSQL Databases
🎯 Practical Application
📊 Case Studies
🏆 Assessment

M5: Capstone Project

This module provides students with the opportunity to work on a real-world project that applies AI and Data Science concepts to a specific industry or problem

Key Topics

Project Proposal and Planning
Data Collection and Preprocessing
Model Development and Deployment
🎯 Practical Application
📊 Case Studies
🏆 Assessment
🧠
Advanced Knowledge

Industry-aligned concepts

🛠️
Practical Skills

Real-world tools

🎓
Certification

Global recognition

ROI & Outcomes

Career Impact

Visualize your professional trajectory with data-backed outcomes.

Target Job Roles

3 Roles
💼

Data Scientist

₹12 - ₹25 LPA avg.

A data scientist is responsible for collecting, analyzing, and interpreting complex data to gain insights and inform business decisions

Hiring:Google, Microsoft, IBM...
💼

AI Engineer

₹15 - ₹30 LPA avg.

An AI engineer is responsible for designing, developing, and deploying AI and machine learning models to solve complex problems

Hiring:Amazon, Facebook, Apple...
💼

Business Intelligence Analyst

₹8 - ₹18 LPA avg.

A business intelligence analyst is responsible for analyzing data and developing reports to inform business decisions

Hiring:Deloitte, KPMG, PwC...
💰

Salary Potential

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Freshers
₹6 - ₹12 LPA
Mid-Level
₹12 - ₹25 LPA
Senior
₹25 - ₹50 LPA
🚀

Growth Trajectory

With the increasing demand for AI and Data Science professionals, career growth opportunities are abundant. Students can expect to start their careers as data scientists, AI engineers, or business intelligence analysts and progress to senior roles such as lead data scientist, AI architect, or director of data science.

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Top Hiring Partners

GoogleMicrosoftIBMAmazonFacebookAppleDeloitteKPMG

Competency Framework

🛠️ Technical Mastery

PythonRSQLMachine LearningDeep Learning

🧠 Leadership & Soft Skills

CommunicationTeamworkProblem-SolvingTime Management

Tools & Platforms

TensorFlowPyTorchScikit-LearnTableauPower BI
Financial ROI

Salary & Compensation

Analyze the market value and earning potential for professionals graduating from the program.

What drives these numbers?

Location
Industry
Experience
Skills
💡

Did you know? Professionals with specialized executive certifications often see a 30-50% hike when switching roles.

Projected Growth Path

Annual INR
₹6 - ₹12 LPA
Entry Level0-3 Yrs
₹12 - ₹25 LPA
Mid-Senior4-8 Yrs
₹25 - ₹50 LPA
🚀
Leadership8+ Yrs
Competency Framework

Skills You Will Master

A comprehensive toolkit of technical, strategic, and interpersonal skills designed to future-proof your career in .

💻

Technical Mastery

5 Core Competencies
Python
R
SQL
Machine Learning
Deep Learning
🧠

Leadership & Strategy

4 Soft Skills
Communication
Teamwork
Problem-Solving
Time Management
🛠️

Tools & Platforms

5 Technologies
TensorFlowPyTorchScikit-LearnTableauPower BI

Proficiency Progression Path

1
Foundation

Core concepts & theory

2
Application

Hands-on projects & labs

3
Analysis

Strategic decision making

4
Expertise

Industry-ready mastery

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Alumni Success

Voices of Impact

Hear from leaders who have redefined their careers through the program.

The PG program in AI & Data Science at O.P Jindal Global University was a game-changer for my career. The program provided me with the ideal platform to develop my skills and knowledge in AI and Data Science, and I was able to land a job at Google as a data scientist.

R

Rahul Sharma

Data Scientist

Google

More Stories

2 Reviews
🚀
95%Career Transitions
💰
50%Avg. Salary Hike
🌍
10k+Global Alumni
4.8Course Rating
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Support Center

Frequently Asked Questions

Find answers to common queries about eligibility, curriculum, and admissions.

💬

Still have questions?

Our academic counselors are here to help you make the right choice.

The duration of the PG program in AI & Data Science is 12 months.
The eligibility criteria for the PG program in AI & Data Science includes a bachelor's degree in any discipline with a minimum of 50% marks, 0-5 years of work experience, and strong analytical and problem-solving skills.
The career prospects after completing the PG program in AI & Data Science are abundant, with opportunities to work as data scientists, AI engineers, business intelligence analysts, and more. Students can expect to start their careers with a salary range of ₹6 - ₹12 LPA and progress to senior roles with higher salary ranges.