IIIT Bangalore Diploma in Data Science & Artificial Intelligence

Last date of Admission : 31 October 2026

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Last date of Admission : 31 October 2026

Executive Diploma in Data Science & Artificial Intelligence, IIIT Bangalore

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Choose from 30+ Projects

Two In-Demand Data Science Specializations

3-Month Bootcamp for Beginners

Case Studies and Capstone Projects Included

About IIIT Bangalore Executive Diploma in Data Science & Artificial Intelligence

International Institute of Information Technology Bangalore (or IIT Bangalore) was founded in 1998 through a joint collaboration between the Karnataka Government and the IT Industry. IIIT Bangalore is a deemed university that focuses on IT higher education, research, and innovation in the IT Industry. Today, IIIT Bangalore has become a preferred university for leaders and working professionals in the tech sector.

IIIT Bangalore (IIITB) offers an Executive Diploma in Data Science & Artificial Intelligence in 2026. This 12-month program is designed for individuals who want to build skills across data science, machine learning, AI, programming, cloud computing, and data engineering.

The program’s curriculum commences with fundamentals and gradually moves into advanced concepts. Alongside theory, the course includes 30+ projects and a capstone project. To provide more comprehensive knowledge, IIIT Bangalore offers two Data Science specializations.

Accreditations and Approvals of IIIT Bangalore

Eligibility Criteria of IIIT Bangalore Executive Diploma in Data Science & Artificial Intelligence

The eligibility criteria may vary across IIT Roorkee executive and certificate programmes.

Academic Requirements

For this course, candidates should have a Bachelor’s or Master’s degree (or an equivalent qualification) in any discipline. They also need a minimum aggregate of 50% or an equivalent CGPA.

(The program requires knowledge of high school mathematics and programming basics.)

Key Highlights of IIIT Bangalore Executive Diploma in Data Science & Artificial Intelligence

Students should know that there are several factors behind the non-approval of BTech in Distance Education. The reasons below explain why BTech Distance Education is not recognised in India.

π Professional Pack for Extra Specialization

Professionals who want to explore an area of specialization that interests them can choose the π Professional Pack. It gives learners the opportunity to gain focused exposure to a specialization of their choice over three months. Learners can choose to pursue both AI and Data Science specializations together, allowing them to customize their learning experience based on their career aspirations.

30+ Projects Included

Throughout the programme, the students will have a choice of more than 30 projects across different industry domains. They will also get to work on case studies covering areas such as exploratory data analysis, Data Pipelining and Warehousing, SQL, and Advanced GenAI for Analytics.

Build your own Capstone Project

IIIT Bangalore faculty gives learners the flexibility to choose a capstone based on their employer’s business problem, a future employer’s problem, or a problem from their preferred domain. Students can choose from among 12 domains to solve challenges.

Microsoft Certificate Included

Along with an Executive Diploma certification from IIIT Bangalore, the learners also receive a Microsoft Professional Certificate in the Generative AI Professional Programme.

Two Specialization Tracks

Once learners complete the core fundamentals included in the project, they can make a choice from two specialization tracks - Data Analysis and Data Engineering. The Data Analysis track covers areas such as GenAI, explainable AI, Power BI, Tableau, prompt engineering, and LLM frameworks. While the Data Engineering track covers cloud databases, data pipelines, real-time processing, vector databases, and cloud platforms.

Guidance from Faculty and Industry Experts

IIIT Bangalore's Diploma in AI and Data Science is taught by the university's instructors along with experts of the relevant industry. The learning experience is enhanced with faculty and industry sessions, coding practice, real-time doubt-clearing sessions, and industry-oriented projects.

Complimentary Bootcamp for Beginners

This programme also includes a complimentary fundamentals bootcamp covering probability, statistics, mathematics, Python, data types, functions, loops, and basic SQL. Experienced professionals who want to skip the bootcamp may need to pass a short test.

Executive Diploma in Data Science & Artificial Intelligence, IIIT Bangalore Courses

Candidates who meet the eligibility criteria and successfully complete their program will receive the respective program certificate from IIIT Bangalore, along with the applicable alumni status. The certificate reflects their learning and course completion.

IIIT Bangalore Executive Diploma in Data Science & Artificial Intelligence Curriculum

Module	Learning Outcomes
Advanced Math & Programming	Learn probability, linear algebra, multivariate calculus, object-oriented programming, Python data science libraries, SQL, NoSQL databases, and version control.
Data Analysis & Exploration	Work with Python for data analysis, exploratory data analysis, inferential statistics, and hypothesis testing. Tools include NumPy, Pandas, SciPy, Tableau, and Power BI.
Cloud Computing & Big Data	Learn cloud computing with AWS, GCP, and Microsoft Azure. The module also covers big data analysis with PySpark, along with tools such as Docker, Kubernetes, and Databricks.
Foundations of Machine Learning	Build an understanding of machine learning paradigms, linear and logistic regression, KNN, regularisation, hyperparameter tuning, decision trees, ensembles, and clustering.
Deep Learning & NLP	Learn deep learning fundamentals, convolutional and recurrent neural networks, and lexical, syntactic, and semantic processing for NLP.
Data Analysis Specialisation	Develop skills in SVM, Naive Bayes, feature engineering, model selection, time-series analysis, recommendation systems, explainable AI, Power BI, Tableau, GenAI, prompt engineering, LLM frameworks, chatbot development, and data security.
Data Engineering Specialisation	Learn Hadoop, data ingestion, Hive, cloud-native SQL and NoSQL databases, data warehousing, ETL/ELT pipelines, data modelling, real-time processing, Kafka, Spark Streaming, vector databases, Terraform, and data governance.
Capstone Project	Apply the learning to a business or industry problem. Learners can bring a problem from their workplace, select a future employer’s problem, or choose a problem from their preferred domain.

IIIT Bangalore Executive Diploma in Data Science & Artificial Intelligence Fees

The IIIT Bangalore Executive Diploma in Data Science & Artificial Intelligence fee is INR 2,80,000. However, the fee might differ for the π Professional Pack.

The university also lets interested students block their seats by paying INR 15,000.

Specialisations Available in Doctor of Business Administration, Rushford

Your specialisation should ideally complement the experience you have already built. Rushford offers multiple areas of specialisation, allowing professionals to pursue doctoral research closer to their functional expertise or long-term career direction.

International Business

DBA Students who are interested in understanding the workings of organisations across the global market enrol for this specialisation. Experts guide you on the possible challenges and how to develop strategies to cope with complex business situations.

Finance

Financial professionals can become experts at a higher level with this specialisation. Some of the core studies include financial decision-making, corporate finance and financial management. By the end of the program, they become well equipped to take on any challenges and lead financial departments.

Healthcare Management

Working professionals can choose this specialisation to learn better management practices across healthcare organisations. In this discipline, the DBA study will focus on the entire operational performance in such organisations globally.

Human Resource Management

Professionals with years of work experience in the HR industry can enrol in this program. This specialisation will help you move on from the routine HR activities to understanding the entire HR strategy. Experts will guide you on important topics like employee management and organisational behaviour, before you select the dissertation topic.

Data Science

Professionals who want to use data to solve business problems can choose this specialisation. Rushford expert faculty teaches them analytical methods and related technology. This learning can help them turn complex data into useful insights and support better decision-making.

Marketing

Professionals who want to become experts in Modern Marketing can pursue this course. Main coursework might include topics like consumer behaviour, market strategy, branding and digital marketing. Rushford DBA students will be able to analyse markets better and suggest relevant solutions to problems.

Supply Chain Management

DBA Students can then take their supply chain experience further with a research-based dissertation. They can learn how to manage products, people and resources across a complex supply network. Rushford will guide you in core supply chain subjects and work with you on a dissertation topic.

General

Rushford Business School offers this specialisation for broad knowledge across business disciplines. Individuals can learn about a variety of business challenges and choose one topic for a dissertation to gain expertise.

Sustainability & Environmental Management

DBA enthusiasts interested in responsible business can choose this discipline. This specialisation brings sustainability into the wider context of organisational management. Rushford helps them examine environmental practices and the long-term impact of such practices on business decisions.

Big Data

As businesses generate more data than ever, professionals can use this as a career advantage. Global experts will conduct sessions on how converting meaningful insights has become increasingly important. Students choosing Big Data study will go through each step of using data in business decision-making.

Who Can Pursue IIIT Bangalore Executive Diploma in Data Science & Artificial Intelligence?

Non-Technical Professionals

Professionals from non-technical backgrounds can start with the complimentary mathematics and programming bootcamp before moving into the main curriculum.

Aspiring Data Analysts

Learners interested in data analysis can choose the Data Analysis specialization and work with tools such as Power BI, Tableau, Excel, Copilot, Python, and machine learning techniques.

Technology Professionals

Professionals with a technology background can choose the Data Engineering specialization and learn about cloud platforms, data pipelines, databases, real-time processing, and data infrastructure.

Professionals Building AI Skills

Professionals who want to add AI and GenAI skills to their existing experience can learn prompt engineering, LLM frameworks, chatbot development, explainable AI, and AI ethics through the curriculum.

Earn a DBA from Rushford Business School

Designed for Senior Professionals & Executives

Ideal for managers, founders, and consultants looking to formalise their expertise with a doctoral credential.

DBA from a Recognised B-school

Rushford is EduQua certified and holds memberships in renowned global bodies like BAC, AACSB, and IACBE.

Certification from NSDC

Upon completion of this Doctorate program, you shall be awarded an additional Certification from NSDC, recognised by the Indian Ministry of Skill Development.

Who Can Pursue IIT Roorkee Data Science, Machine Learning & Generative AI?

Data Analysts

Professionals already working with data can strengthen their knowledge of machine learning, deep learning and Generative AI to take on more advanced analytical responsibilities.

Software & IT Professionals

Software professionals can add data and AI capabilities to their existing technical background and understand how intelligent models can be developed and deployed.

Engineers

Engineers who want to grow in their current work profile can build practical expertise in data science and AI to work on data-driven products, automation, and intelligent applications.

Machine Learning Professionals

Professionals with existing ML knowledge can expand their skill set into areas such as Deep Learning, Generative AI, MLOps and large-scale data processing.

Technology Professionals

Those working in technology roles can use the programme to understand how modern AI solutions are developed, managed and integrated into business environments.

Professionals Looking for an AI Transition

Professionals with a suitable technical background who want to move towards data science, machine learning or AI-focused roles can use the programme to build structured knowledge across these domains.

Career Outcomes of IIIT Bangalore Executive Diploma in Data Science & Artificial Intelligence

Data Analyst

Apply analytical techniques, data visualization, and statistical thinking to identify trends, understand business performance, and support data-backed decision-making. Learners can use these skills to help organizations move from simply collecting data to making better decisions with it.

Machine Learning Engineer

Develop the ability to work with machine learning models and translate them into practical applications. Learners can use their understanding of AI and ML to contribute to solutions that automate tasks, improve predictions, personalize experiences, and solve complex business problems.

Business Intelligence Analyst

Use data analysis, visualization, and business intelligence concepts to transform complex datasets into clear, actionable insights. Learners can help teams understand performance, identify trends, uncover opportunities, and make more informed strategic decisions.

Data Scientist

Build expertise in data analysis, statistical methods, and machine learning to uncover patterns and generate predictive insights. Learners can apply these capabilities to address business challenges, improve processes, and help organizations discover new opportunities through data.

Data Engineer

Develop an understanding of how data is collected, processed, transformed, and made ready for analysis. These skills can help learners contribute to building reliable data systems and pipelines that enable organizations to derive value from their data at scale.