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India's Top Data Science Program

Executive Diploma in Data Science & Artificial Intelligence from IIITB

    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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30,000+ enroled

4.5/5 (12872 ratings)

Secure your spot now!

Key Features: Executive Diploma in Data Science & AI

Built for techies, made easy for everyone

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Personalised learning paths

30+ projects across domains

Capstone Project of your choice

A standout Data Scientist's portfolio

Personalised Career Support

Certification & AI Immersion by Microsoft

Need to know more?

Get all the details you need about the Executive PG Diploma in Data Science & AI, whenever you want them.

Learning Path: Executive Diploma in Data Science & AI

Go from data novice to AI pro in 6 steps

01

2 Weeks of Fundamentals Training

Learn the fundamentals of Data Science, AI, and Machine Learning.

02

Skill Test: Math, Python, SQL

Score 40% and skip to Step 4: the 12-month Executive Diploma. Else move to Step 3.

03

3-Month Complimentary Bootcamp

Get trained in the basics of math and programming needed in Data, AI, and ML.

04

12-Month Executive Diploma

Graduate with your hard earned Executive Diploma in Data Science and AI.

05

Career Support Phase

Train for interviews, make a stellar CV, and build your personal brand.

06

Your Dream Career

Start working as a Data Scientist and reclaim your career.

Curriculum: Executive Diploma in Data Science & AI

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

Python

Pandas

Pandas

Sklearn

Sklearn

Statsmodels

Statsmodels

MySQL

MySQL

AWS

AWS

GCP

GCP

Azure

Azure

PySpark

PySpark

PyTorch

PyTorch

Keras

Keras

OpenAI

OpenAI

GPT

GPT

LlamaIndex

LlamaIndex

Claude

Claude

CrewAI

CrewAI

LangGraph

LangGraph

Autogen

Autogen

Power BI

Power BI

Tableau

Tableau

MongoDB

MongoDB

 Docker

Docker

Kubernetes

Kubernetes

Streamlit

Streamlit

Airflow

Airflow

MLFlow

MLFlow

Kafka

Kafka

Specializations: Executive Diploma in DS & AI

Specialize in either one of the two tracks, based on your background or career goals

Ideal for non-tech professionals

    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.

Learn the Basics of ML - Free Guide Inside

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.

Executive Diploma in DS & AI: Programming Bootcamp

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

Hands-On Projects: Executive Diploma in DS & AI

Learn by doing projects across industry domains

Work on solving real world data challenges from top brands

30+

Projects to choose from

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What Will You Build?

See the practical work that has helped our learners land roles at top companies

Capstone: Executive Diploma in Data Science & AI

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.

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ED in DS & AI: Faculty & Industry Expert

Learn from the best of industry and academia

4

Instructors

9

Industry Experts

Certification: Executive Diploma in DS & AI

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

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Earn secondary specialization

π Professional pack for dual specialisations

In just 3 more months you can earn an additional specialisation across both Data Science & Machine learning

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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.

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AI Immersion at Microsoft, Go beyond Theory

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.

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Experience: Executive Diploma in Data Science & AI

We will be there right through your learning journey

Hands-on learning

    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

Alumni Success: Executive Diploma in DS & AI

Different Journeys, Limitless Futures

Find upGrad alumni profiles and know more about their career path, specialisation and more!

Executive Diploma in DS & AI VS Other Courses

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

Alumni Reviews: Executive Diploma in DS & AI

What Our Learners Have To Say

4.5

12872 Ratings

π Professional Pack: Why Stop at 1 Specialisation?

In just 3 more months become a π-shaped professional.

The technology sector has evolved. Traditional T shaped single-specialty roles create bottlenecks, slow project velocity, and leave critical knowledge gaps. Today's employers need π-shaped professionals - someone with two deep, complementary specialisations while maintaining broad knowledge across domains, who can own entire project lifecycles.

Aspect

T-Shaped Professional

π-Shaped Professional

Skill Depth

One single area of expertise

Dual in-depth specializations

Strengths

Strong in one vertical; good for focused, specialised roles.

Strong in two verticals; faster execution, reduced friction, fewer knowledge gaps.

Limitations

Slower project velocity due to silos and handoffs

High-intensity, high-compensation roles

Career Relevance

Valuable for roles needing focused expertise

Growing demand in data & AI, where end-to-end ownership and multi-domain expertise are critical

Popular specialisation combos

π Professional pack for dual specialisations

Why Gen AI + MLOps?

    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.

Course Fee: Executive Diploma in Data Science & AI

Invest In Your Success

12 Months
Starting at
INR 7,500/month
Totally INR 3,15,000*Incl. Taxes

Inclusions

Pay INR 15,000 and block your seat Now!
View Plans
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Executive Diploma in DS and AI Program Eligibility

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. 

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Overview Executive Diploma in DS & AI

An Executive Diploma in DS & AI is a program that builds practical skills for managing and analyzing data. Unlike a full master’s degree, it is shorter, usually 6–12 months and emphasizes industry-focused learning through projects, assignments, and sometimes internships.

In 2024, the India data science platform market was valued at USD 498.2 million and is projected to grow to USD 2,551.2 million by 2033, at a CAGR of 18.91% from 2025–2033. This growth reflects the rising need for professionals trained in data science.

An Executive Diploma in DS & AI typically covers:

  • Statistics and Mathematics for Data
  • Machine Learning and Predictive Modeling
  • Programming (Python/R, SQL)
  • Big Data Tools and Technologies
  • Data Visualization and Storytelling
  • Model Deployment and Applications
  • Hands-on Learning through Projects, Capstone Work, and Internships

Why pursue a Executive Diploma in DS & AI?

An Executive Diploma in DS & AI is a popular choice for those who want practical, career-focused training without the long commitment of a master’s. Many also prefer this Executive Diploma in DS & AI for its flexibility and placement support.

Here are key reasons people opt for an Executive Diploma in DS & AI rather than waiting for a full master’s:

  • Faster entry into the job market: shorter duration means less lag time.
  • Industry-aligned curriculum: you learn tools and techniques that employers actually need.
  • Versatility of roles: Data Analyst, Data Scientist, Machine Learning Engineer, BI Analyst etc.
  • Flexibility in learning modes: many diplomas allow online or part-time options.
  • Lower cost and commitment: compared to a master’s, but still more rigorous than simple certificate courses.

What You Will Learn in Executive Diploma in DS & AI?

An Executive Diploma in DS & AI course is designed to give you practical skills and industry-focused knowledge. It combines core concepts with hands-on training so you can apply what you learn directly in real-world scenarios.

Key Components of the Curriculum:

Component

What You Learn / Gain

Programming Foundations

Python / R, SQL, data manipulation, scripting

Statistics & Mathematics

Probability, inferential statistics, hypothesis testing

Machine Learning & AI

Supervised and unsupervised methods, model evaluation

Big Data Technologies

Hadoop, Spark, cloud platforms (AWS, Azure, GCP)

Data Visualisation & Reporting

Visualization libraries, dashboards, storytelling with data

Data Engineering & Pipeline Design

Data cleaning, ETL, pipelines, data storage

Domain Applications

Case studies in finance, healthcare, e-commerce etc.

Project / Capstone

Applying knowledge to a real-world dataset/project

Career Opportunities after Executive Diploma in DS & AI

An Executive Diploma in DS & AI opens the door to a wide range of high-demand jobs. Many programs, especially those offering an Executive Diploma in DS & AI with placement, provide guidance and support to help learners transition into data-focused careers.

Top job roles and average annual salaries in India after completing an Executive Diploma in DS & AI:

  • Data Analyst – INR 6.7L
  • Machine Learning Engineer – INR 11.7L
  • Data Scientist – INR 15L
  • Data Engineer – INR 11.4L
  • Business Intelligence Analyst – INR 9.5L

Sourced By: Ambition Box

Sectors Hiring:

  • E-commerce & Retail
  • Finance & Banking
  • Healthcare & Life Sciences
  • Telecom / Internet / SaaS
  • Consulting & Analytics firms

How to Choose the Right Executive Diploma in DS & AI?

Choosing the right Executive Diploma in DS & AI is essential to gain the skills and support needed for a successful career. This program combines practical learning, industry-relevant curriculum, and placement assistance to help you transition smoothly into data roles.

Key Factors to Consider:

  • Accreditation & Brand: Ensure the institution is recognized and reputable.
  • Curriculum Relevance: Look for courses aligned with current industry tools and technologies.
  • Hands-on / Project Work: Practical learning through projects or capstone assignments is essential.
  • Placement / Internship Support: Especially important if you choose a PG Diploma in Data Science with placement.
  • Faculty Expertise / Industry Mentors: Experienced instructors provide guidance and industry insights.
  • Flexibility: Check for online, hybrid, or offline options and a course pace that fits your schedule.
  • Alumni Outcomes: Review past students’ placements, career growth, and success stories.

FAQs: Executive Diploma in DS & AI

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.

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Disclaimer

  1. The above statistics depend on various factors and individual results may vary. Past performance is no guarantee of future results.

  2. The student assumes full responsibility for all expenses associated with visas, travel, & related costs. upGrad does not .