Top-tier credentials
NAAC A+ rated, NIRF top 100 nationwide (2024), aligned with NSQF Level 8 standards
Executive PG Diploma in Data Science & AI
Enrol in India’s pioneering online Data Science program and master an industry-ready 2025 curriculum.
30,000+ enrolled
Top 100
(NIRF '24)
Graded A+
(NAAC)
Program Overview
The IIITB Executive Diploma in Data Science & AI helps you master skills in Analytics, AI, Deep Learning, Data Engineering, and NLP. It prepares you for roles like Data Scientist, Machine Learning Engineer, or BI Analyst, giving you the right mix of practical knowledge and real-world expertise to grow in the data-driven world.
Top Benefits
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
12 Months
Duration
31-Jan-2026
Admission Deadline
INR 7,500*
EMI Starts from
About 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.
Course Details
Duration
12 months (online)
Certification
Executive PG Diploma from IIIT-Bangalore
Accreditation
NAAC A+ rated, NIRF Top 100 (2024)
Curriculum
Updated for 2025, covering Data Science, AI, and Machine Learning
Mode
Online with live sessions, recorded content, and hands-on projects
Support
Personalized career assistance and mentorship
Who is this Program For?
- Working professionals from tech or non-tech backgrounds looking to upskill for high-growth roles in Data Science and AI.
- Graduates and postgraduates aiming to enter the analytics or machine learning domain without pursuing a full-time master’s.
- Managers and business analysts who want to integrate AI-driven insights into business decisions.
- Career shifters transitioning from IT, engineering, or operations into data-focused roles.
Key highlights
- Build strong foundations in Python, SQL, data structures, databases, and version control for real-world analytics.
- Learn to clean, explore, and visualise data using statistics, EDA techniques, and BI tools like Tableau and Power BI.
- Design and deploy ML models, deep neural networks, and NLP pipelines to solve complex business and product problems.
- Work with PySpark, data warehousing, and cloud platforms (AWS, Azure, GCP) to manage and scale large data pipelines.
- Use OpenAI, LangChain and other GenAI tools to build AI agents, chatbots, and retrieval-augmented generation systems.
- Complete 30+ projects and a capstone, build a hiring-ready portfolio, and get 1:1 mentorship, resume help, and interview prep.
- Data Analysis
- Data Engineering
Tools You Will Learn
Where This Program Can Take You
Your Post-Program Opportunities
Step-by-Step Roadmap to Mastery
1
Foundation Training
2 Weeks of Fundamentals Training - Learn the basics of Data, AI & ML.
2
Skill Assessment
Skill Test - Clear Math, Python & SQL (Secure 60%) to fast-track your journey.
3
Core Bootcamp
3-Month Complimentary Bootcamp - Strengthen your Mathematics & Programming foundation.
6
Career Launch
Dream Job - Start your career in Data Science.
5
Career Support
Career Support - Create CVs, train for interviews & build your brand.
4
Executive Diploma
Graduate with a 12-Month Executive Diploma - Master Data Science & AI.
1
Foundation Training
2 Weeks of Fundamentals Training - Learn the basics of Data, AI & ML.
2
Skill Assessment
Skill Test - Clear Math, Python & SQL (Secure 60%) to fast-track your journey.
3
Core Bootcamp
3-Month Complimentary Bootcamp - Strengthen your Mathematics & Programming foundation.
4
Executive Diploma
Graduate with a 12-Month Executive Diploma - Master Data Science & AI.
5
Career Support
Career Support - Create CVs, train for interviews & build your brand.
6
Career Launch
Dream Job - Start your career in Data Science.
30-min One on One Free Career Counseling
Our expert counselors will guide you to choose the right course based on your goals, background, and career aspirations.
Curriculum
Duration: 5 Weeks
- 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
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
Duration: 5 Weeks
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
Duration: 5 Weeks
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
Duration: 5 Weeks
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
Duration: 16 Weeks
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
Duration: 16 Weeks
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
- Data Warehousing 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
Our Instructors Have Been There and Done That
Dr. Debabrata Das
Director of IIITB
With over 210 peer-reviewed papers and 7 patents, Dr. Das has multiple global and Indian IEEE awards, and was its India Chair in 2023 and 2024.
Dr. G. Srinivasaraghavan
Professor
With a Ph.D. from IIT Kanpur and 30+ years of experience in microelectronics and VLSI design, Prof. G. Srinivasaraghavan has led cutting-edge innovation across academia and industry.
Dr. Tricha Anjali
Ex-Associate Dean
With a Ph.D. from Georgia Tech and an Integrated M.Tech from IIT Bombay, Prof. Tricha Anjali brings 13+ years of global experience in data analytics and tech implementation across industries.
Dr. C. Ramanathan
Dean of Academics
With a Ph.D. from MSU and 25+ years of Data & Software Engineering experience, Prof. C.R. is ranked amongst the top data academicians in India.
Eligibility and Fee
- Bachelor's or Master’s Degree in any discipline
- Minimum 50% aggregate marks or equivalent CGPA
- Starting at INR 7500/month
- Totally INR 3,15,000* Incl. Taxes
- Pay INR 15,000 and block your seat now!
- No Cost EMI Available
Success Stories
Real Career Transformations
Viraj Morgoankar
This program helped me build a strong foundation in Data Science and AI while working full-time. The structured learning path and hands-on projects made complex concepts easy to understand.
Company: Amazon
Designation: ML data Associate
Sindhu P
The curriculum felt very current and industry-relevant. From Python and machine learning to real-world problem solving, everything was aligned with what companies actually expect.
Company: Government College
Designation: Lecturer
Sharief Nizamulla
The personalised career support made a big difference. From CV guidance to interview preparation, the support team helped me feel job-ready by the end of the program.
Company: Fractal
Designation: Consultant
SaiGoutam Kolluru
I liked how the program was designed for both tech and non-tech backgrounds. The learning path was well-paced, and the bootstrapping of fundamentals helped me keep up.
Company: TCS
Designation: Senior Associate Data
Aakanksha Rehan
The 30+ projects and the capstone project gave me confidence in applying my skills. I wasn’t just learning concepts, I was learning how to think like a Data Scientist.
Company: Accenture
Designation: Consultant Data Analyst
Abhay Pratap Singh
The career support I recieved was top notch The mock interviews at upGrad were very helpful since they were catered to the kind of role I was looking to get into. The feedback was extremely useful and also helped me gain confidence before the main interview.
Company: IBM
Designation: Big Data Engineer
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Got Questions? We've Got Answers
It’s a 12-month, 100% online Executive Diploma with live sessions, projects, and self-paced modules.
Graduates or postgraduates with at least 50% aggregate marks from a recognized institution.
You can specialize in either Data Analysis or Data Engineering, with an optional π-pack for dual expertise.
No. A 3-month complimentary Programming Bootcamp is included for beginners.
You’ll complete 30+ real-world projects and a capstone — tackling data challenges from brands like Amazon, Blinkit, and Namma Yatri.
You’ll earn an Executive Diploma from IIIT Bangalore, with WES recognition and Microsoft certification.
An average of 10–12 hours per week is sufficient to balance live sessions, self-learning, and project work.
You’ll receive 1:1 mentorship, resume and LinkedIn optimization, mock interviews, and job portal access.
Yes, EMI starts at ₹7,500/month, with flexible payment plans and referral rewards up to ₹80,000.
Graduates typically move into roles like Data Analyst, Machine Learning Engineer, Data Scientist, or AI Consultant across top tech and consulting firms.
