IISc (Indian Institute of Science) tops among the oldest and the finest higher education institutes of India. It pursues excellence in research and education in several fields of Science and Engineering and is one of the first three publicly funded institutes to be awarded the Institute of Eminence status. The alumni of IISc hold significant academic and industry positions around the globe. For more information visit https://www.iisc.ac.in.
The PG Level Advanced Certification in Computational Data Science will be delivered by IISc’s Centre for Continuing Education (CCE) in collaboration with TalentSprint. CCE delivers courses suitably designed to meet the requirements of various target groups, eg: research & development (R&D) laboratories and industries, research scientists and engineers, to enable them to grow into competent managers of technology-intensive and data-driven organizations. For more information visit http://cce.iisc.ac.in.
Are you a working professional looking to build expertise in Data Science? Look no further than the PG Level Advanced Certification course in Data Science offered by Indian Institute of Science (IISc) in association with TalentSprint. This highly sought-after programme offers a unique 5-step learning process, including LIVE online faculty-led interactive sessions, capstone projects, mentorship, case studies, and data stories.
Taught by world-class faculty from a global institution and supplemented with industry learnings, this 12-month programme is best suited for professionals who want to gain practical hands-on experience in solving real-life challenges. The programme teaches participants how to build powerful models to generate actionable insights, necessary for making data-driven decisions.
With an overwhelming response, this programme has enabled 750+ professionals to build Data Science expertise. Don't miss the opportunity to gain an in-depth understanding of the mechanics of working with data and identifying insights. Enroll now and take your career to the next level with the PG Level Advanced Certification course in Computational Data Science.
IISc Campus Visit
Cutting-edge curriculum that reflects the latest and proven industry practices
IISc faculty members are an impressive group bearing academic accreditation from premier institutions around the world
Ph.D., Computational Mathematics, OvGU Germany
Programme Co-Coordinator
Sashikumaar Ganesan is a Professor and Chair of the Department of Computational and Data Sciences (CDS), IISc
Know More
Ph.D., Massachusetts Institute of Technology (MIT), USA B.Tech
and M.Tech, IIT Madras
Programme Co-Coordinator
Prof. Deepak, an assistant professor in the Dept of Computational and Data Sciences, IISc
Know More
Ph.D. Computer Science, Indiana University, USA
Data and Computing Systems, Big Data, Internet of Things
Know More
Ph.D. TU Delft, Netherlands
Computational Signal Processing, GNN, ML, Statistical Inference
Know More
PhD Applied Mathematics, TU Delft, Netherlands BTech and MTech IIT Madras
Quantitative Finance, Derivative Pricing, Real Option Analysis
Know More
All logos belongs to respective companies Note: Graduates in other stream with relevant coding experience can apply
Application Fee
₹2,000
Program Fee ₹4,00,000 Program Fee with Scholarship ₹3,00,000
Check my eligibility
for the scholarship
(18% GST extra as applicable)
Special Pricing for
Corporates
Fee paid is non-refundable and non-transferable.
Modes of payment available
Internet Banking
Credit/Debit Card
UPI Payments12 Month 0% Interest Scheme / Interest-Based Schemes
Financing as low as ₹10,030/Month
Loan Partners
| Programme Fee for International Participants | $5,000 |
| With Scholarship | $3,750 |
Computational Data Science helps you analyse data effectively and enable data-driven decisions. It harnesses your mathematical, analytical and technical skills to interpret and understand big complex data sets and their relevance to real-life decisions. Armed with this knowledge you become an expert at communicating data insights to key stakeholders within and outside your organization. The learnings help you deliver practical and actionable insights for leveraging customer behaviour, business intelligence, operations and much more.
IISc is India’s premier institution for advanced scientific and technological research and education. It is one of the first three publicly funded institutes to be awarded the Institute of Eminence status.
The institution’s reputation and pre-eminence consistently feature it in global university rankings. The institution has been home to distinguished alumni who have had noteworthy academic and industry positions around the globe.
IISc has been consistently recognised as India’s #1 University and #1 Research Institute by the National Institutional Ranking Framework (NIRF) 2024 Ranking.
TalentSprint, an National Stock Exchange (NSE) Group Company, brings high-end and deep-tech education to aspiring and experienced professionals in partnership with top academic institutions and global corporations. Its patent-pending, AI-powered, digital learning platform enables a perfect blend of high-end academics and industry-leading practitioner experience. Given its in-depth understanding of the deep technologies, access to industry experts, and a state of art technology platform, IISc has chosen TalentSprint as its partner for executive education programmes in disruptive and emerging technologies. For more information, visit www.talentsprint.com.
The 12-month programme will be taught by world class faculty from a global institution and supplemented with industry learnings.
Meet the faculty here.
Yes, this is a hands-on programme. The sessions are accompanied by practical industry-oriented exercises to help assimilate theory into practice. Online lab assignments will help you master the concepts with the help of mentors. Physical labs sessions will be opened once it is safe for participants and faculty.
Programme Co-Coordinator
Sashikumaar Ganesan is a Professor and Chair of the Department of Computational and Data Sciences (CDS) at the Indian Institute of Science (IISc), Bangalore, and the founder of Zenteiq Edtech Pvt. Ltd., a pioneering deep tech startup. With extensive experience in Computational Science, Scientific Machine Learning (SciML), and Data Science, he specializes in the development of scalable ML algorithms, distributed training, and cloud computing through Machine Learning Operations (MLOps). He has earned a reputation for his innovative approaches in integrating Finite Element Analysis, Scientific Computing & Machine Learning, and High-Performance Computing. Before joining IISc, he held esteemed positions as a Research Associate at Imperial College London and as an Alexander-von-Humboldt fellow at WIAS Berlin, after earning his Ph.D. from Otto-von-Guericke University, Germany. Professor Ganesan's wealth of knowledge and multifaceted expertise make him a leading figure in AI and MLOps, driving advancements in the field.
Ph.D., Massachusetts Institute of Technology (MIT), USA, B.Tech and M.Tech, IIT Madras
Programme Co-Coordinator
Prof. Deepak, an assistant professor in the Dept of Computational and Data Sciences, IISc and an alumnus of MIT and IIT Madras, is a renowned data scientist and AI expert. He develops and applies machine learning and artificial intelligence techniques to solve complex engineering and environmental problems. His notable contributions include foundational models and GenAI for autonomous robots, weather forecasting, satellite image analytics, and renewable energy transition. He is also a passionate teacher and mentor, committed to training the next generation of scientists, engineers and industry practitioners.
Ph.D. Computer Science, Indiana University, USA
Associate Professor in the Department of Computational and Data Sciences, IISc, and previously a Research Faculty at the University of Southern California (USC), Los Angeles, and a Postdoc at Microsoft Research, San Francisco. His research explores abstractions, algorithms and applications on distributed systems. These span Cloud and Edge Computing, Big Data Platforms and Internet of Things (IoT).
Ph.D. TU Delft, Netherlands
Assistant Professor at the Department of Electrical Communication Engineering, IISc. His research areas include ML, AI, and statistical inference for Data and Network Sciences.
PhD Applied Mathematics, TU Delft, Netherlands
BTech and MTech IIT Madras
Assistant Professor at the Department of Management Studies, IISc. Before joining IISc he worked as a Quantitative analyst at ING, Amsterdam. His research interests include quantitative finance, investment decisions related to energy and environmental sectors and Real options.
