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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

Slide 1 of 1

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.

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.

Ideal for tech professionals

    Modern cloud stack: AWS, GCP, Azure, BigQuery, DynamoDB, Lambda, Terraform.

    GenAI-ready skills: Vector DBs, stream processing, data monitoring, Jenkins, IaC.

    Hands-on projects: 12+ real-world builds across e-commerce, health, crime, traffic.

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

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Basic Maths for DS & ML

4 Weeks

Course 1

Sets

Combinatorics

View More

Basic Programming

8 Weeks

Course 2

Coding Environments

Variables

View More

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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Analyse Amazon customer reviews to identify prevalent sentiments and themes to improve product offerings and enhance customer satisfaction or ChatGPT customer feedback to derive actionable insights for business improvement

OpenAI APIs

Amazon

Advanced GenAI for Analytics

Analyse Amazon customer reviews to identify prevalent sentiments and themes to improve product offerings and enhance customer satisfaction or ChatGPT … Know More

Skills learned

Advanced Prompt Engineering

OpenAI APIs

Data Visualisation

Data Cleaning

NYC taxi

Exploratory Data Analysis

Analyse NYC taxi operations for efficient taxi positioning or US beer production data for better brewery operation management 

Skills learned

Data Processing

Data Visualisation

Data Cleaning

Power BI

Data Storytelling

Advanced Data Visualization

Blinkit

Advanced Data Analytics

Blinkit customer transactions and purchases data to improve product recommendations and enhance shopping experience 

Skills learned

Tableau

Power BI

Data Storytelling

Advanced Data Visualization

Data Storytelling

Problem Solving

HDFC Bank

Essentials of Business Analytics

Analyse HDFC Bank’s annual reports and create a BCG matrix to provide strategic business recommendations 

Skills learned

Business Frameworks

Data Storytelling

Problem Solving

Predict household energy consumption using appliance energy readings data to increase power consumption efficiency or parcel delivery time for Porter using historical delivery data for better planning and management

Sklearn

Statsmodels

Porter

Linear Regression

Predict household energy consumption using appliance energy readings data to increase power consumption efficiency or parcel delivery time for Porter … Know More

Skills learned

Linear Regression

Sklearn

Statsmodels

Spotify

Querying with SQL

Analyse Spotify music data for targeted recommendations or NDAP insurance data for risk assessment 

Skills learned

Advanced SQL

Power BI

Data Storytelling

Advanced Data Visualization

Namma Yatri travels

Advanced Data Analytics

Analyse Namma Yatri travels data to understand customer behaviour and route utilisation for optimisation 

Skills learned

Tableau

Power BI

Data Storytelling

Advanced Data Visualization

Develop an ETL pipeline to aggregate and standardise banking data to enhance financial decision making using Wikipedia and currency exchange rates data

Data Warehousing

ETL

Data Pipelining and Warehousing

Data Pipelining and Warehousing

Develop an ETL pipeline to aggregate and standardise banking data to enhance financial decision making using Wikipedia and currency exchange rates dat… Know More

Skills learned

Data Pipelining

Data Warehousing

ETL

Requirement Gathering

Problem Solving

Snapdeal app

Essentials of Business Analytics

Analyse Snapdeal app feedback data to create a business requirement document for improving app functionality 

Skills learned

Business Consulting

Requirement Gathering

Problem Solving

Distributed Computing

Big Data Analysis

Mercari

Big Data Analysis

Analyse Mercari products data for better targeted recommendations or customer interaction data to enhance customer engagement 

Skills learned

PySpark

Distributed Computing

Big Data Analysis

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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

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Dr. C. Ramanathan

Dean of Academics

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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.

LinkedIn ProfileLinkedin
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Dr. Debabrata Das

Director of IIITB

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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.

IIITB Profile
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Dr. G. Srinivasaraghavan

Professor

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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.

LinkedIn ProfileLinkedin
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Dr. Tricha Anjali

Ex-Associate Dean

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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.

LinkedIn ProfileLinkedin
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Abhishek Vijayvargia

Senior Data Scientist

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Having worked with Microsoft as a Senior Data Scientist, he is an alumnus of IIT Kharagpur with 10+ years of experience in a Data Science domain

LinkedIn ProfileLinkedin
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S. Anand

LLM Psychologist

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An alumnus of IIT Madras, IIM Bangalore and LBS London, Anand is among the top 10 data scientists in India with 20 years of experience.

LinkedIn ProfileLinkedin
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Manish Shukla

Head of Generative AI

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Leading GenAI platform development at NatWest Group. Expertise in OpenAI products and MLOps for optimizing efficiency and seamless project delivery with high user satisfaction

Linkedin ProfileLinkedin
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Deependra Singh

VP & Head of Data Science

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15+ years in analytics, data science, AI product development. Led teams at Junglee Games, Amex, and National Insurance, pioneering projects like the GOI PMJAY analytics engine. Speaker at top institutes

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Sajan Kedia

Ex- Data Science Lead

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An IIT BHU graduate with deep expertise in Data Science, Big Data, Spark, Machine Learning, and Natural Language Processing.

LinkedIn ProfileLinkedin
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Mirza Rahim Baig

Lead Analyst

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He is a veteran professional with 10+ years of experience in applications of data science, machine learning in e-commerce and healthcare.

LinkedIn ProfileLinkedin
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Kautuk Pandey

Professional in Big Data, AWS, Pyspark

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Kautuk has 10+ years of experience working in Data Science. He is a seasoned professional in Big Data, AWS, Pyspark and other technologies.

LinkedIn ProfileLinkedin
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Ujjyaini Mitra

Head of Analytics

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An alumnus of McKinsey and Co, Flipkart and Bharati Airtel with over 11 years of experience.

LinkedIn ProfileLinkedin
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Ankit Jain

Alumnus of IIT Bombay

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An alumnus of IIT Bombay, UCB, and HBS with over 9 years of experience. Ankit has been recognised as 40 under 40 Data Scientist for 2022.

LinkedIn ProfileLinkedin

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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π Professional Pack

Executive Diploma in Machine Learning & AI

01

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Microsoft Certificate

Earn a Professional Certificate in “Generative AI Professional Programme” from Microsoft

02

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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play

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

Support Services

    Telegram channel for learner communication

    Query assistance when you’re stuck anywhere

    Learning experience and completion support

    Discussion forum to resolve doubts and learn from peers

Career Support

    1-1 Career Coaching

    Career preparation modules

    AI-powered Profile builder

    High-impact networking events

    Just-in-time mock interviews

    Post-program career support

Networking & Peer Learning

    Online discussion forum to get doubts clarified

    Network and collaborate with 12,000+ alumni

Alumni Reviews: Executive Diploma in DS & AI

What Our Learners Have To Say

4.5

12872 Ratings

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Chemical engineer to AI consultant, 120% salary increase.

As a learner, I meticulously planned my job search strategy after completing the EPGP DS program. Recognising the need to bridge my background in chemical engineering with the emerging field of artificial intelligence, I proactively engaged in relevant projects before stepping into the interview arena. Armed with 5 years of experience in chemical engineering, I was determined to make a significant career shift. The effort invested in acquiring practical skills and hands-on experience in AI paid off when I secured a position as an AI Solution Consultant at C3AI. The transition was not just a change in job title but a massive leap in terms of compensation, as I secured a remarkable hike of 120%. This journey from a Chemical Engineer to an AI Solution Consultant exemplifies the power of strategic planning, continuous learning, and a bold approach to career transformation. It reaffirms that with the right skills, mindset, and a well-executed strategy, one can navigate a successful path in a dynamic and competitive job market

LinkedIn
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Kushagra Saxena

AI Solution, Consultant

6 Years of Experience

Dreams deferred to data triumph: upGrad's resilient transformation journey.

My father was in the Indian Air Force, and I always wanted to follow suit. However, sometimes reality can be a stark departure from dreams. I realized this first when I had to enroll myself in an engineering course at NIT Surat, apparently for a stable career. I settled into my life at NIT, and being a national-level volleyball player, I also continued playing. But the lowest point in my life came when I severely injured my knee during a game. I was bedridden for weeks, and I was no longer fit enough to pursue my dream of becoming an IAF officer. This dampened my spirits and even affected my grades, eventually pushing me into depression. Determined not to give up, I started watching motivational speeches and even wrote about depression. I cleared my final exams and landed a quite underpaying job. However, I made the best of the situation and learned a lot on the job. A year and a half later, I had a moment of epiphany: I took a leap of faith, quit my job, and enrolled myself in upGrad’s Data Analytics course. I lived a minimalist life during the six months of this course and channeled all my efforts, including 15 hours of study time per day, towards it. I received incredible support from the upGrad student mentor and careers team in arranging mock interviews with industry experts and tips on salary negotiation. Thanks to this, I landed a job with Tech Mahindra! On receiving my paycheck, I bought a watch and a suit for my brother, who was then appearing for interviews. Now I am saving up to buy a car for my parents. So, there you have it—my journey has been full of highs and lows; points from where I never thought I’d make a comeback. In the end, I had faith in the one person I needed to trust—me—and that’s why I’m here today

LinkedIn
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Mohit Singh

Data Scientist, Wipro

6 Years of Experience

The program's curriculum was very easy to follow

The curriculum of the programme is very structured and easy to consume. The mock calls and encouraging words from the CEO before my interview were extremely encouraging.

LinkedIn
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Aishwarya Ramachandran

News Analyst, Thomson Reuters

6 Years of Experience

upGrad's student mentors were there to help me every step of the way

upGrad's student mentors played a crucial part in my learning journey. I followed them and they helped a lot in clarifying my queries. They also gave me placement assistance, where they perfectly guide you on how to start a career as a Data Analyst.

LinkedIn
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Abhinay Bandaru

Product Analyst, Head Infotech

3 Years of Experience

The program helped me learn new concepts & secure a job at Kantar Analytics

The program's content was so well-structured that it helped me grasp concepts that were entirely new to me. Thanks to upGrad's placement drive, I was able to secure a job at Kantar Analytics.

LinkedIn
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Bhagvathi

Data Analyst, Kantar

1 Year of Experience

The program was very engaging with mentorship from industry veterans

The programme has been absolutely fantastic. The mentorship through industry veterans, BaseCamps, and student mentors makes the programme extremely engaging. I would definitely endorse the programme for its rich content and comprehensive approach to Data Science.

LinkedIn
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Moulik Srivastava

Technology Project Manager & Commercial Strategy Associate, Victory Farms

5 Years of Experience

upGrad's career support helped me switch to a career in Data Science

Learning with upGrad was like going back to University for me. Their career support and mentorship calls really helped me switch to a career in the field of Data Science.

LinkedIn
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Atul Agarwal

Data Scientist, Scaler

7 Years of Experience

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.

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Sowjanya Vijaynagar

Business Analyst, Practo

Freelancer

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.

Why Gen AI + Analytics?

    Unlocks AI-driven business insights with a combination of natural language queries, auto-reporting, and data storytelling. This pairing is about creating smarter and more accessible business insights.

Why MLOps + Data Engineering?

    This is the ultimate combination for building robust and scalable AI infrastructure .Enables you to build an automated, end-to-end machine learning factory that is efficient, reliable, and ready for production demands.

Why Gen AI + Data Engineering?

    Let's you combine Gen AI innovation with solid data pipelines scalable AI products. This pairing ensures that innovative GenAI projects are built on a solid foundation, allowing them to be scalable and successful in the long run.

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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12 Months
Starting at
INR 12,639/month
Totally INR 3,65,000*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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Complete Application

Fill out an application form giving your basic profile details.

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Offer Letter & Reserve Seat

Receive an offer letter and pay ₹15,000 to reserve a seat.

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Payment

Remaining balance to be paid within 7 days or batch start date whichever comes sooner.

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Refer and Earn Rewards
Refer someone and Earn up to INR 80,000 Cashback/Vouchers, on every successful enrollment
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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.

While the course covers in-depth concepts in DS, AI/ML, and analytics, it is structured to support learners from both technical and non-technical backgrounds. The program begins with fundamentals and gradually progresses to advanced topics, making it manageable for anyone with the commitment to learn. There is a 3 months complimentary bootcamp to build you strong in the essential concepts.

This executive diploma in data science covers programming (Python/R, SQL), statistics, machine learning, big data tools, data visualization, and model deployment. You also complete hands-on projects and a capstone to apply what you learn.

Yes. Upon successful completion, you’ll receive a certificate for your Executive Diploma in Data Science & AI and from IIIT Bangalore, a top-ranked institution in India. This NAAC A+ accredited credential is equivalent to a 1-year PG Diploma, making it highly valuable in the job market, especially for those seeking an Executive Diploma in Data Science & AI in IIIT Bangalore.

 No, you have full freedom to choose your specialization. While we offer personalized recommendations based on your profile, skills, and career goals, the final decision is yours. This flexibility ensures your executive diploma in data science journey aligns with your unique aspirations.

This online executive diploma in data science offers an immersive learning format. Expect live expert-led sessions, interactive assignments, industry case studies, and peer-to-peer discussions. You’ll also attend offline BaseCamps for collaborative learning. Designed for working professionals, this is one of the most flexible and impactful learning experiences available in the data science executive diploma online space.

The program runs for 12 months, providing enough time to gain practical skills, complete projects, and build a strong portfolio while balancing work or other commitments.

Yes, this executive diploma in data science program is designed for working professionals. The flexible online learning format allows you to study at your own pace without interrupting your current job or responsibilities.

Yes, the program offers fully online learning with monthly start dates, making it easy for professionals to start when it fits their schedule. You can learn without leaving your current job.

Graduates can take on jobs such as Data Analyst, Data Scientist, Machine Learning Engineer, Data Engineer, and Business Intelligence Analyst after completing executive diploma in data science. The program provides you for versatile career opportunities across industries.

Entry-level salaries range from INR 6.7 LPA for Data Analysts to INR 15 LPA for Data Scientists and INR 11.7 LPA for Machine Learning Engineers. With experience, you can expect higher compensation as you grow in your career.

 Both are high-potential fields. Data Science focuses on data analysis and decision-making, while AI involves building intelligent systems. The executive diploma in data science and AI combines both, giving you a versatile skill set to succeed across domains.

 Yes. A strong understanding of Python, R, and SQL is essential, as these are core tools in data science. This best executive diploma in data science ensures you master these languages even if you're starting with basic knowledge.

Yes, the program equips learners with practical skills, hands-on experience, and industry tools, making it easier for professionals from other fields to transition into data-focused roles.

 Yes. The program offers no-cost EMI options and 1 free deferral, allowing you to shift your batch once at no extra cost. This flexibility makes the executive diploma in data science online even more accessible.

Once you complete the core modules, you’ll be guided to choose a specialization based on your career goals. At upGrad, we suggest the best fit for you, helping you make the most of your executive diploma in data science from IIIT Bangalore.

You need a bachelor’s or master’s degree in any discipline with at least 50% aggregate marks. The program is suitable for professionals from diverse backgrounds and provides foundational modules for non-technical learners.

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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

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!

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Viraj Morgaonkar

3 Years of Experience

Before upGrad

Sys Admin at Amazon

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After upGrad

ML Data Associate at Amazon

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Sindhu P

1 Year of Experience

Before upGrad

Lecturer at Government College

image

After upGrad

Data Analyst at Flipkart

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Sharief Nizamulla

5 Years of Experience

Before upGrad

Business Analyst

image

After upGrad

Consultant

image
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SaiGoutam Kolluru

5 Years of Experience

Before upGrad

Senior Process Executive at Cognizant

image

After upGrad

Sr. Associate Data at TCS

image
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Aakanksha Rehan

5 Years of Experience

Before upGrad

Consultant Development

image

After upGrad

Consultant Data Analyst

image
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Abhay Pratap Singh

4 Years of Experience

Before upGrad

Associate Consultant

image

After upGrad

Big Data Engineer

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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

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

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

250% hike

55% hike

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

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