Executive PG Certificate in Data Science & AI
The Executive Diploma Program in Data Science & AI starts with a solid foundation in Python and gradually transitions into advanced topics like deep learning, data engineering, and Generative AI. You could be a data analyst eager to utilise big data to propel your career, a data engineer aiming to master machine learning and build intelligent systems, or someone simply seeking a career shift toward data analysis and AI. No matter who you are, this PG program in data science online is tailored to meet your goals. With 12+ given problem statements for the capstone projects and an option to creating your own problem statement, 1000+ programming tools, and 60+ real-world case studies, this IIIT Bangalore data science program ensures you develop practical, job-ready expertise to drive tangible career success.
Instructors:
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Course Start Date:
Starting Soon
Application Deadline:
15th August 2025
Duration:
8 Months
₹ 1,80,000
Overview
The Executive Diploma Program in Data Science & AI from IIIT Bangalore is a comprehensive 8-month online program designed for working professionals. Starting with Python fundamentals, it progresses to advanced topics including deep learning, data engineering, and Generative AI. The program includes 12+ problem statements for capstone projects, access to 1000+ programming tools, and 60+ real-world case studies to ensure practical, job-ready expertise. With dedicated career assistance and a focus on in-demand skills, this program is ideal for professionals looking to advance in the data science field.
Why Technology & Analytics?
IIIT Bangalore's data science program stands out with its industry-relevant curriculum, expert faculty, and strong career outcomes. As India's #1 Technical University (Private), IIITB provides a high-quality education at a reasonable cost with flexible options for working professionals. The program offers specialized tracks, extensive hands-on projects, and dedicated career support, resulting in an average 50% salary increase for graduates with 500+ successful career transitions.
What does this course have to offer?
Key Highlights
Focused 3-month Waivable Prerequisites Bootcamp for non-tech learners
Designed for Working Professionals
7+ Case Studies and Projects
No Cost EMI Options Available
Dedicated Student Support
Exclusive Job opportunities Portal
1 Free Deferral
Daily Doubt Resolution Support
Who is this programme for?
Data analysts seeking to leverage big data for career advancement
Data engineers aiming to master machine learning and build intelligent systems
Professionals looking for a career shift toward data analysis and AI
Working professionals seeking flexible, high-quality education in data science
Individuals interested in specializing in advanced data science technologies
Minimum Eligibility
Bachelors or Master's Degree or its equivalent in any discipline with minimum 50% aggregate mark or equivalent CGPA
Who is the programme for?
The admissions process for IIITB's Post Graduate Certificate in Data Science & AI (Executive) is straightforward and can be completed entirely online. Eligible candidates must hold a Bachelor's or Master's Degree in any discipline with minimum 50% aggregate marks or equivalent CGPA. The application process involves three simple steps: filling out an application with basic profile details, receiving an offer letter after university shortlisting and making a block payment of INR 15,000, and completing the balance payment within 7 days or before the batch start date, whichever comes sooner.
Important Dates
Selection process
How to apply?
Curriculum
The curriculum is structured into five core courses over 8 months: Advanced Math & Programming (5 weeks), Data Analysis & Exploration (5 weeks), Cloud Computing & Big Data (5 weeks), Foundations of ML (5 weeks), and Deep Learning & NLP (5 weeks). The program begins with mathematical foundations and programming skills, then progresses through data analysis, cloud computing, machine learning fundamentals, and advanced AI topics. Students will master tools like Python, SQL, NumPy, Pandas, TensorFlow, AWS/GCP/Azure, and various visualization technologies. The program includes 7+ industry projects and a capstone project in the student's preferred domain.
There are 7 semesters in this course
The curriculum is divided into five comprehensive courses. The first course covers conditional probability, advanced linear algebra, multivariate calculus, object-oriented programming, Python data science libraries, database design, SQL querying, and NoSQL databases. The second course focuses on data analysis with Python, exploratory data analysis, and inferential statistics. The third course covers cloud computing platforms and big data analysis with PySpark. The fourth course teaches machine learning paradigms, regression models, regularization, decision trees, and clustering. The final course explores deep learning fundamentals, neural networks, and natural language processing techniques.
Course 1
5 Weeks to complete
Course II
5 Weeks to complete
Course III
5 Weeks to complete
Course IV
5 Weeks to complete
Course V
5 Weeks to complete
Programming Fundamentals: Basic Maths for DS & ML
4 Weeks to complete
Programming Fundamentals: Basic Programming
8 Weeks to complete
Programme Length
8 Months with flexible online learning designed for working professionals. The program requires 12-15 hours per week, including 6-7 hours of asynchronous learning, 6-7 hours for assignments and projects, and one live session every two weeks.
Whom you will learn from?
Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.
Instructors
Renowned Academic and Technology Expert
Prof. Chandrashekar Ramanathan is the Dean of Academics at the International Institute of Information Technology, Bangalore (IIITB), where he has been a faculty member since 2007. He holds a Ph.D. from Mississippi State University, with a specialization in object-oriented databases. With over 25 years of experience in computing across industry and academia, his expertise spans data science, software engineering, and education technology. Prof. Ramanathan has been recognized as one of the "Top 10 Data Science Academicians of India" by Analytics India magazine in 2018 and 2019. He serves on various advisory panels for government departments and educational institutions, and leads research centers in machine intelligence and software engineering
Accomplished Academic and Technology Innovator
Dr. Tricha Anjali, former Associate Dean at IIIT Bangalore, holds a Ph.D. in Computer Engineering from Georgia Institute of Technology and an integrated M.Tech in Electrical Engineering from IIT Bombay. With extensive experience in academia and research, she has designed advanced programs in data science and mentored numerous Ph.D. and M.Tech students. Her work includes cutting-edge research in areas like blockchain for healthcare and smart home optimization. Dr. Anjali has also collaborated with organizations like NASA and NSF, contributing to advancements in network optimization and machine learning models. She is a recipient of the Huawei Research Award for establishing the SDN Innovation Lab at IIITB
Tuition Fee
The program fee is INR 180,000 with no additional taxes applicable. Students can opt for No Cost EMI options starting at INR 5,790 per month for 6 months. A block payment of INR 15,000 is required upon receiving the offer letter, with the balance due within 7 days or before the batch start date, whichever comes sooner.
Fee Structure
Payment options
Financing options
Financial Aid
Learning Experience
The program delivers an engaging learning experience through a mix of pre-recorded lectures, live sessions with industry experts, hands-on projects, and peer interaction. Students benefit from daily doubt resolution support, dedicated student assistance, and 20+ live sessions throughout the course. The learning platform provides 24/7 access to course materials, interactive coding challenges, and discussion forums for collaborative learning.
University Experience
IIIT Bangalore provides a rich university experience with access to its renowned faculty, including the Dean and Director of the institution. Students join a community of over 10,000 alumni and can participate in networking opportunities through live discussion forums and collaborative projects. The program's industry connections offer exposure to real-world challenges and solutions, with mentorship from experts from elite firms such as BCG, Flipkart, Walmart, and Myntra.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
About the University
Founded in 1998, IIITB is a premier research deemed university established through a public-private partnership between the Government of Karnataka and the IT industry. Located in Electronic City, Bangalore, the institute is known for its excellence in IT education, research, and innovation.
3,289
Total alumni
74th
NIRF ranking
29
Course specializations
Affiliation & Recognition
UGC Deemed University Status
Government of Karnataka Partnership
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Instructors
Renowned Academic and Technology Expert
Prof. Chandrashekar Ramanathan is the Dean of Academics at the International Institute of Information Technology, Bangalore (IIITB), where he has been a faculty member since 2007. He holds a Ph.D. from Mississippi State University, with a specialization in object-oriented databases. With over 25 years of experience in computing across industry and academia, his expertise spans data science, software engineering, and education technology. Prof. Ramanathan has been recognized as one of the "Top 10 Data Science Academicians of India" by Analytics India magazine in 2018 and 2019. He serves on various advisory panels for government departments and educational institutions, and leads research centers in machine intelligence and software engineering
Accomplished Academic and Technology Innovator
Dr. Tricha Anjali, former Associate Dean at IIIT Bangalore, holds a Ph.D. in Computer Engineering from Georgia Institute of Technology and an integrated M.Tech in Electrical Engineering from IIT Bombay. With extensive experience in academia and research, she has designed advanced programs in data science and mentored numerous Ph.D. and M.Tech students. Her work includes cutting-edge research in areas like blockchain for healthcare and smart home optimization. Dr. Anjali has also collaborated with organizations like NASA and NSF, contributing to advancements in network optimization and machine learning models. She is a recipient of the Huawei Research Award for establishing the SDN Innovation Lab at IIITB
Career services
IIITB provides comprehensive career development support through multiple channels. The institute's strong industry connections result in consistent near-100% placement rates with major companies in product, hardware, and R&D sectors. Through partnerships with leading technology companies and startups, students receive extensive opportunities for career advancement and entrepreneurship.
$1.529B
Export balance
$3.57B
Municipal exports
81.9%
Export share
Course Start Date:
Starting Soon
Application Deadline:
15th August 2025
Duration:
8 Months
₹ 1,80,000
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.