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Earn India’s only 1-Year Master's Degree in AI and Data Science from India's #1 Private University, O.P.Jindal Global University
O.P.Jindal Global University
30+
Case Studies & Projects
38+
Programming Tools
8+
Domain assignments
Fast-Track Master’s Advantage: Earn a globally recognized Master’s degree in just 12 months vs. 24 months.
Dual Specialization Tracks: Choose Business Analytics (for non-tech/semi-tech professionals) or ML & AI (for tech learners).
World-Class Faculty & Mentorship: Designed and delivered by Padma Shri Awardee.
No Prior Coding or Math Required:Smooth Prep course ensures even non-tech learners can confidently transition into AI & Data Science.
Hands-On Learning: 15+ case studies, real-world projects, and industry-aligned capstones.
GenAI-Infused Curriculum: From business analytics with Microsoft Copilot to LLM fine-tuning and multimodal AI.
Industry Credentials: Complementary Microsoft Certification & Microsoft Office Immersion.
Institution of Eminence Status
Honored by the Government of India, O.P. Jindal Global University ranks among India’s elite universities
India’s #1 Private University
Ranked as India’s top private university as per QS world university rankings 2023, for the third year in a row
Globally Recognized Excellence
Ranked in the top 150 Global Young Universities and top 500 for Graduate Employability in QS World University Rankings 2022
Get to know course in depth by downloading the course brochure
Curriculum Overview – Trimester Wise Snapshot
Curriculum Overview
Data Analysis & Visualization
Big Data & Cloud
Real world application through Capstone
12
Months
12+
Core courses
8+
Industry domains
30+
Projects
Experience an all-new 2025 curriculum
Preparatory Course
Prep course
5 weeks
4.5 (2780 ratings)
Build readiness for coding and analytics
Topics covered
Computational Thinking
Overview of AI&DS Landscape
Coding Environments, IDEs, GitHub
Python Syntax and Variables
Basic Control and Data Structures in Python
Python Functions, Types of Data
Descriptive Statistics, Probability Definitions
Vector and Matrix Operations
Basic Data Visualizations with Excel and Python
Calculus Fundamentals, Derivatives, Integrals
Minima and Maxima
Skills acquired
Python
MySQL
NumPy
Pandas
Matplotlib
Seaborn
Bokeh
MongoDB
PostgreSQL
Scipy
Python Programming
Course 1
5 weeks
4.5 (2780 ratings)
Write clean code; automate with Python & GenAI
Topics covered
Python Syntax and Variables
Python Control Structures
Python Data Structures
Python Functions
Object-Oriented Programming in Python
Introduction to Prompt Engineering and GenAI for Coding
Tools
Python
OpenAI ChatGPT
Google Gemini
Mathematics Essentials for Data Science and Machine Learning
Course 2
5 weeks
4.5 (2780 ratings)
Apply math for ML; reduce dimensions; optimize models
Topics covered
Conditional Probability and Bayes' Theorem
Probability Distributions
Statistical Inference and Hypothesis Testing
Fundamentals of Vector Algebra and Linear Transformations
Singular Value Decomposition,
Principal Components Analysis
Low Rank Matrices
Introduction to Optimization
Least Squares Optimization
Vector Calculus
Autodifferentiation
Backpropagation
Tools
Python
Data Analysis and Visualization
Course 3
5 weeks
4.5 (2780 ratings)
Analyze data and build clear visual insights
Topics covered
Python Data Science Libraries (NumPy/Pandas)
Data Preprocessing
Data Visualization in Python (Matplotlib/Seaborn)
Exploratory Data Analysis
Database Design and SQL Querying
Introduction to NoSQL Concepts
Tools
Python
NumPy
Pandas
Matplotlib
Seaborn
SQL/MySQL
MongoDB
Foundations of Machine Learning
Course 4
5 weeks
4.5 (2780 ratings)
Build ML models; forecast and evaluate data
Topics covered
Machine Learning Paradigms
Linear and Logistic Regression
Regularization and Hyperparameter Tuning
Decision Trees and Ensembles
Bias-Variance Tradeoff and Model Selection
Support Vector Machines
K Nearest Neighbours
K Means Clustering
Hierarchical Clustering
Time Series Analysis
Tools
Python
Statsmodels
Sklearn
FB Prophet
Deep Learning and its Applications
Course 5
5 weeks
Create neural models for images and text
Topics covered
Introduction to Deep Learning
Artificial Neural Networks
Image Processing Fundamentals
Convolutional Neural Networks
Lexical Processing
Syntactic Processing
Recurrent Neural Networks
Semantic Processing
Tools
Python
TensorFlow
Keras
PyTorch
NLTK
Spacy
Gensim
Big Data Analytics
Course 6
5 weeks
Handle large-scale and real-time
Topics covered
Introduction to Distributed Computing
Introduction to Cloud Computing
Big Data Analytics using PySpark
Realtime Analytics with Spark Streaming
Introduction to ML Operations
Skills acquired
GCP
AWS
Azure
PySpark
MLFlow
Advanced Analytics Technologies - (BA) Specialization
Course 7 a
5 Weeks
Build dashboards and tell data-driven stories
Topics covered
Analytics with Excel
Analytics with Tableau
Analytics with Power BI
Data Management with Fabric
Data Storytelling
Analytics with GenA
Tools
Excel
Tableau
Power BI
Fabric
Microsoft Copilot
Business Applications of Data Science - (BA) Specialization
Course 8 a
5 weeks
Business Considerations, Ethics, Governance for DS and AI Solve business problems with DS/AI
Topics covered
Business Problem Solving
Applications of DS/ML/AI in Contemporary Business Domains (Work on three case studies from choices of domains - Healthcare, Logistics, Supply-Chain, Ecommerce, BFSI, and other trending domains)
Tools
Python
NumPy
Pandas
Matplotlib
Seaborn
Excel
OpenAI
Tableau
Power BI
Microsoft Copilot
Capstone - (BA) Specialization
Course 9 a
5 weeks
Deliver business-focused analytics solutions
Topics covered
The capstone is the culmination of the Master’s program, where learners bring together everything they’ve studied to solve a real-world problem.
Business-ready dashboards, forecasts, or AI-driven solutions.
Work on projects like omni-channel retail dashboards, churn prediction, fraud detection, and AI-enabled customer support.
Tools
Solve real-world business problems using data and AI.
Build dashboards, forecasts, and AI solutions.
Deliver projects like retail, churn, and fraud analysis.
Advanced Deep Learning for Natural Language and Image Processing - (ML&AI) Specialization
Course 7 b
5 weeks
Image Segmentation (Assist doctors in medical imaging by segmenting tumors from MRI scans)
Topics covered
Advanced Image Processing Algorithms
Modern Pretrained CNN Architectures
Encoder-Decoder Architectures
Attention Mechanisms and Transformers
Tools
Python
OpenCV
GPT
BERT
Hugging Face
PyTorch
LLaMa
Generative Language and Vision Models - (ML&AI) Specialization
Course 8 b
5 weeks
Advanced Prompt Engineering (Create AI-driven marketing creatives for a fashion brand based on product descriptions)
Topics covered
Introduction to LLMs
Advanced Prompt Engineering
Introduction to Multimodal Models
Generative AI System Design
PEFT/LORA LLM Fine Tuning
LLM Deployment Principles
Tools
Python
OpenAI GPT
Hugging Face
Google Gemini
Stable Diffusion
LLaMa
Midjourney
OpenAI Sora
DALL-E
Imagen
Capstone - (ML&AI) Specialization
Course 9 b
5 weeks
Topics covered
Capstone Choice 1 - Execute an end-to-end image segmentation pipeline using encoder-decoder architectures with attention mechanisms for medical imaging analysis
Capstone Choice 2 - Perform fine-tuning of a large language model using PEFT/LORA techniques and deploy a multimodal generative AI system integrating text and images
Tools
Mastered deep learning and transformer-based AI.
Applied attention, PEFT, and LoRA for optimization.
Built and deployed multimodal AI pipelines.
Master 38+ Essential Industry Tools
Python
Pandas
Sklearn
Statsmodels
MySQL
AWS
GCP
Azure
PySpark
PyTorch
Keras
OpenAI
GPT
Power BI
Tableau
MongoDB
MLFlow
Jupyter
Github
Excel
Hugging Face
Specializations: JGU’s Masters in AI & DS
Specialize in either one of the two tracks, based on your background or career goals
Master analytics tools like Excel, Tableau, Power BI, and Fabric to turn data into insights.
Apply DS/ML/AI to real business domains - from healthcare to e-commerce.
Deliver business-ready dashboards, forecasts, and AI-driven solutions through capstone projects.
Learn by doing Projects across domains
Finance & BFSI: Fraud detection, customer lifetime value prediction, real-time payment fraud detection.
Retail & E-commerce: Demand forecasting, omni-channel sales analysis, FMCG sales prediction, inventory optimization.
Healthcare: Predicting patient risks, MRI tumour segmentation with deep learning.
Supply Chain & Manufacturing: Route optimization, raw material forecasting, defect detection in manufacturing.
Customer Service: AI-powered chatbots, intent analysis from feedback, multilingual airline chatbot.
Logistics & Operations: Real-time dashboards, segmentation for pricing, delivery optimization.
Marketing & Strategy: AI-driven marketing creatives, churn prediction with AI.
Technology & Product Development: Payroll automation, fintech onboarding, e-commerce database design, Big Data clickstream analysis, LLM fine-tuning, multimodal AI system deployment.
In this exclusive, hands-on immersion led by Microsoft experts, you’ll master advanced AI-powered collaboration & automation tools, build muscle memory with real-world Microsoft applications, gain insider strategies directly from the creators of the technology.
We will be there right through your learning journey
Videos from top faculty and world-class industry experts
Built-in practice and coding console
Industry-oriented projects for real DS & ML exposure
Live interventions from faculty and industry experts
Real time doubt clearing sessions
Duration
Learning Hours
Capstone Projects
Tools Covered
Government Recognition
Live and Personalized Sessions
Certification
Skill Coverage
Coding Support
upGrad
12-month accelerated M.Sc. in AI and Data Science program for faster job readiness.
500+ hours of structured learning, with live classes and recorded modules.
30 + Projects, industry-relevant capstones in BFSI, healthcare, e-commerce, etc.
Hands-on with 38+ tools: Python, Tableau, Power BI, Gen AI tools, and more.
Degree from JGU, an Institution of Eminence recognized by the Ministry of Education.
Regular live sessions, personalized coaching, and expert interactions.
Comes with a complimentary Microsoft Certification.
Combines data analytics, machine learning, Gen AI, and business strategy.
Ideal for beginners - zero-to-one coding support, no prior experience needed.
Other Courses
Traditional 2-year masters in AI and data science, delaying workforce entry.
Often limited to recorded content with lower engagement.
Few projects with limited real-world application.
Limited toolset, mainly basic analytics and coding tools.
Often lacks national recognition and global credibility.
Minimal live engagement; mostly pre-recorded lectures.
Rarely includes recognized certifications.
Focuses mainly on basic analytics and statistics.
Assumes prior knowledge, not suitable for non-tech learners.
1
Study
High Quality Recorded Videos
Live Faculty-Led Sessions
Detailed Lecture Notes
2
Make
Build Real Applications
Solve Hands-On Case Studies
Simulate Industry Work
3
Attempt
Challenging Practise Assessments
Interactive Coding Questions
Problem-Solving Scenarios
4
Revise
Comprehensive Review Guides
Tailored Spaced Repetition
Engaging Live Sessions
5
Test
Regular Project Submissions
Constructive Code Reviews
Personalized Feedback
Key Highlights
An easy and user-friendly online registration process
Eligibility
Bachelor’s degree with 50% mandatory
This is a 12-month online M.Sc. data science and artificial intelligence program offered by O.P. Jindal Global University, designed for working professionals. The course focuses on real-world applications, hands-on projects, and GenAI tools, helping you transition into data-driven roles with confidence. It's ideal for those seeking an M.Sc. data science and AI degree online with maximum industry relevance.
Talk to our experts. We are available 7 days a week, 10 AM to 7 PM
Indian Nationals
Foreign Nationals
The above statistics depend on various factors and individual results may vary. Past performance is no guarantee of future results.
The student assumes full responsibility for all expenses associated with visas, travel, & related costs. upGrad does not .