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Enrol into India's pioneering Online Data Science Program; learn from the latest 2025 curriculum.
Join an alumni network of Data Scientists at Amazon, Coca Cola, Flipkart, Google, JP Morgan, Lenskart, Swiggy, and more.
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Go from data novice to AI pro in 6 steps
Experience an all-new 2025 curriculum
Advanced Math & Programming
Course 1
5 Weeks
4.5
Master core mathematical and programming skills needed to build and deploy data science and machine learning solutions across real-world business scenarios.
Topics covered
Conditional Probability and Probability Distributions
Advanced Linear Algebra and Linear Transformations
Multivariate Calculus
GenAI for Coding and Problem-Solving
Object-Oriented Programming
Python Data Science Libraries
Database Design and SQL Querying
Introduction to NoSQL Databases
Version Control
Skills acquired
Python
MySQL
NumPy
Pandas
ChatGPT
Matplotlib
Seaborn
Bokeh
MongoDB
PostgreSQL
Data Analysis & Exploration
Course 2
5 Weeks
4.5
Explore data patterns and use statistical methods to visualise, interpret, and extract actionable insights that help drive better decision-making.
Topics covered
Data Analysis with Python
Exploratory Data Analysis
Inferential Statistics and Hypothesis Testing
Skills acquired
Python
NumPy
Pandas
Scipy
Matplotib
Seaborn
Bokeh
Tableau
Power BI
Cloud Computing & Big Data
Course 3
5 Weeks
4.5
Move your data processes to the cloud and analyse big data at scale using industry-relevant tools and cloud computing platforms.
Topics covered
Cloud Computing with AWS / GCP / Microsoft Azure
Big Data Analysis with PySpark
Skills acquired
AWS
GCP
Microsoft Azure
PySpark
EMR
EC2
FastAPI
Docker
Kubernetes
Databricks
Foundations of ML
Course 4
5 Weeks
4.5
Understand how mathematics powers machine learning, and implement classification, regression, and clustering models to predict metrics and discover insights.
Topics covered
Machine Learning Paradigms
Linear and Logistic Regression
K Nearest Neighbors
Regularisation and Hyperparameter Tuning
Decision Trees and Ensembles
Clustering Models
Skills acquired
Python
Statsmodels
Sklearn
Deep Learning & NLP
Course 5
5 Weeks
4.5
Advance your ML skills by working with deep neural networks and applying machine learning and deep learning techniques in natural language processing.
Topics covered
Deep Learning Fundamentals
Convolutional and Recurrent Neural Networks
Lexical / Syntactic / Semantic Processing
Skills acquired
Python
TensorFlow
Keras
PyTorch
NLTK
Gensim
Spacy
Data Analysis
Specialization
16 Weeks
4.5
Specialise as a data analyst by combining advanced machine learning techniques and AI-powered tools with structured problem-solving to boost business outcomes.
Topics covered
Support Vector Machines
Naive Bayes
Feature Engineering and Model Selection
Dimensionality Reduction
Time Series Analysis
Association Rule Mining
Recommendation Systems
Explainable AI
Advanced Excel and Power BI with Copilot
Advanced Tableau
Data Storytelling Principles
Machine Learning with PySpark
Fundamentals of GenAI and Prompt Engineering
Google Looker Studio
Advanced Prompt Engineering
Large Language Model (LLM) Frameworks such as LangChain
GenAI ChatBot System Design and Development
Data Security and Governance
AI Ethics and LLM Security
Requirements Gathering and Guesstimates
Business Problem Solving and Project Management
Data Science Applications in Finance and Ecommerce
Skills acquired
Python
Statsmodels
Sklearn
Eli5
Featuretools
Mlxtend
Tableau
Excel
Power BI
Copilot
Data Engineering
Specialization
16 Weeks
4.5
Specialise as a data engineer by building and maintaining large-scale data pipelines using both traditional systems and modern cloud-native technologies.
Topics covered
Distributed Data Processing with Hadoop Framework
Data Ingestion with Sqoop/Flume and HBase Data Querying with Hive
Cloud Native SQL Databases such as Amazon Aurora, Google Spanner, and Azure SQL
Cloud Native NoSQL Databases such as Amazon DynamoDB, Google BigTable, and Azure Cosmos DB
Linux and Java Programming
Datawarehousing and Cloud Data Warehousing
Cloud Data Warehouses such as Amazon Redshift, Google BigQuery, and Azure Synapse Analytics
Understanding ETL and ELT Pipelines
Advanced Data Modeling Concepts and Techniques
End-to-End Data Pipelining Fundamentals
Pipeline Automation with AWS Lambda, GCP Functions, and Azure Automation
Data Monitoring with Amazon CloudWatch, Google Cloud Monitoring, and Azure Monitor
Feature Stores and Vector Databases
Real-Time Processing with Flink and Kafka
Real-Time Analytics with Spark Streaming
Real-Time Analytics with Amazon Kinesis, Google Cloud Pub/Sub and DataFlow, Azure Stream Analytics and Event Hub
Multicloud and Hybrid Cloud Operating Principles
Scala
Data Build Tool (DBT)
Azure Data Factory
Modern NoSQL Databases
Infrastructure as Code (IaC) with Terraform
Data Architecting Principles
Data Security and Governance
Decentralized Governance and Data Mesh
Skills acquired
AWS
GCP
Microsoft Azure
Hadoop
Hadoop MapReduce
HBase
Hive
Sqoop
Flume
Amazon Aurora
Master the 80+ Essential Industry Tools
Python
Pandas
Sklearn
Statsmodels
MySQL
AWS
GCP
Azure
PySpark
PyTorch
Keras
OpenAI
GPT
LlamaIndex
Claude
CrewAI
LangGraph
Autogen
Power BI
Tableau
MongoDB
Docker
Kubernetes
Streamlit
Airflow
MLFlow
Kafka
Specialize in either one of the two tracks, based on your background or career goals
Future-ready curriculum: GenAI, XAI, Copilot, Fabric, LLM evaluation, AI ethics.
Upgraded tools: OpenAI, Gemini, Claude, Deepseek, Looker, Jira, more.
Industry projects: 12+ real-world case studies from Amazon, Blinkit, Namma Yatri.
Whether you're new to data science or brushing up your fundamentals, this free resource breaks down Regression, Classification, and Clustering in a way that’s easy to understand and apply.
Programming Fundamentals
Build strong essentials with our complimentary fundamentals bootcamp (can be skipped by passing a short test)
Basics of Probability
Conditional Probability
Descriptive Statistics
Functions
Vector Algebra
Derivatives
Integrals
Data Types
Syntax
Conditionals
Loops
Functions
Lists
Sets
Tuples
Dictionaries
Introduction to MySQL
Basic SQL Querying
50+
Hours
Learn by doing projects across industry domains
Work on solving real world data challenges from top brands
30+
Projects to choose from
What Will You Build?
See the practical work that has helped our learners land roles at top companies
Choose Your Capstone Project
1
Bring Your Employer's Business Problem
Go back and impress your boss and colleagues with the Data & AI solutions you come up with.
2
Bring a Future Employer's Problem
Show it off with your Data and AI solutions when you interview with your dream companies.
3
Choose a Problem From Your Domain
Pick 1 from over 12 domains and solve for classic and constant industry challenges using Data Science and AI.
Learn from the best of industry and academia
Earn valuable credentials and recognition
Top-tier credentials
NAAC A+ rated, NIRF top 100 nationwide (2024), aligned with NSQF Level 8 standards
Powerful network
Join a network of 30,000+ alumni working at top companies
Global recognition
WES-recognised Executive Diploma certification, equivalent to a full-year Executive Diploma in Data Science and Artificial Intelligence
π Professional pack for dual specialisations
In just 3 more months you can earn an additional specialisation across both Data Science & Machine learning
IIIT Bangalore
IIITB was established during India's IT revolution and has since produced alumni who have excelled in leadership roles at top companies or founded successful ventures. Accredited with an A+ by the NAAC, it ranks among the top 100 institutes in the NIRF and is consistently recognized as one of the top 10 private technical universities in India by India Today.
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
Different Journeys, Limitless Futures
Find upGrad alumni profiles and know more about their career path, specialisation and more!
Why is our program the best in the market?
Breadth and Depth of Curriculum
Focused Bootcamp for Beginners
Gen AI infusion
Specialisations
Projects
Capstone Projects
Alumni network and Legacy
Hands-on learning
Faculty and Mentorship
upGrad
Covers all core ED DS & AI topics: Python Programming, Basics of ML, Deep Learning, NLP, and Cloud Computing
Provides 3 month Math and Programming Bootcamp for Beginners
Comprehensive GenAI coverage with real-world case studies and projects
Specialisations in Data Analysis and Data Engineering with real-world projects
Two industry-relevant variations to choose from for every project
Updated capstones feature cutting-edge problem statements, allowing learners to choose their own
Backed by IIIT-B’s academic legacy and LJMU’s global reach, with 10,000+ alumni who have successfully transitioned into AI/ML roles
Includes 60+ case studies and 12+ capstone projects on real-world challenges
Taught by IIIT-B faculty with extensive research and industry experience, complemented by numerous industry experts
Other Courses
Misses the mark with practical in-demand topics. Mostly focused on theoretical studies
Lacks a special learning curve for beginners
Courses feature Generative AI but focus on foundational concepts and older trends
Limited specialisations, often lacking focus and depth on industry needs
Limited range of projects, lacking full coverage of advanced concepts
Limited options of problem statements for capstones
Smaller in scale or limited to pecific platform's community
Varies widely; many use pre-built datasets, limiting practical learning
Instructors are usually platform-specific experts, with little academic faculty involvement
What Our Learners Have To Say
4.5
12872 Ratings
π Professional pack for dual specialisations
Enables end-to-end ownership of Gen AI models from fine-tuning to deployment, monitoring, and safety. This pairing creates a professional who can not only innovate but also reliably deliver and manage that innovation.
Invest In Your Success
Inclusions
How To Apply
The admissions process for IIITB's Executive Diploma in Data Science & AI is very easy, and can be done completely online
Eligibility
Bachelor's or Master’s Degree or its equivalent in any discipline with minimum 50% aggregate mark or equivalent CGPA.
The IIIT Bangalore Executive Diploma in Data Science is a 12-month postgraduate program designed to build practical skills in managing and analyzing data. It combines theory with hands-on projects, case studies, and real-world applications to make you job-ready.
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 .