In today’s data-driven age, the ability to navigate and analyse vast amounts of data is a critical skill across industries. From healthcare to finance, manufacturing to retail, organisations are relying on data science to drive decision-making, enhance efficiency, and stay competitive. The global big data analytics market is expected to grow from $84 billion in 2024 to a staggering $103 billion by 2027¹.This rising importance of data science has made computational data science one of the most in-demand skills, empowering professionals to solve complex business challenges.
As industries increasingly adopt data-driven approaches, the demand for skilled data science professionals continues to surge. By 2026, approximately 11.5 million jobs globally will require advanced data skills1. Computational data science, a critical subset of this broader field, equips professionals with the tools to analyse vast data sets and derive actionable insights, positioning them to make high-impact decisions.
IISc’s Computational Data Science Programme
Recognising the immense need for data science expertise, the Indian Institute of Science launched its PG Level Advanced Certification Programme in Computational Data Science, in partnership with TalentSprint. Running into its 9th batch, this 12-month programme has already seen over 900 participants and is designed to equip working professionals with cutting-edge skills in data science, making it an ideal choice for those looking to advance their careers in this high-demand field.

What sets IISc’s Computational Data Science Programme apart?
The IISc Advantage: As India’s #1 ranked university and research institute according to NIRF rankings, IISc has a long-standing reputation for academic excellence and innovation. IISc was also one of the first publicly funded institutes to be awarded the prestigious Institute of Eminence status. IISc Computational Data Science Course is delivered through IISc’s Centre for Continuing Education and reflects the institute’s commitment to empowering professionals with real-world, transformative knowledge.
Real-world curriculum aligning with industry needs: The curriculum reflects the latest and proven industry practices and is designed to cover the latest industry trends, ensuring that participants are equipped with relevant and future-ready skills. The programme is divided into three segments:
Bridge Module (4 weeks): This introductory module helps participants from diverse backgrounds build foundational knowledge in data science.
Core Modules (28 weeks): The core section covers essential topics such as machine learning, AI at scale, neural networks, generative AI, data engineering, and business analytics.
Capstone Projects (12 weeks): Participants work on two real-world capstone projects, applying their skills to industry-relevant problems.
Executive-friendly format for working professionals: The 12-month programme is delivered through live interactive sessions on weekends, ensuring participants can balance their work and learning commitments. The flexible programme includes 245 hours of live classes, hands-on projects, and two campus visits to IISc for immersive learning.
Exclusive mentorship from industry experts: One of the highlights of the programme is the personalized mentorship participants receive from industry experts. These 1:1 mentoring sessions allow participants to get direct guidance from experienced professionals, helping them refine their skills and apply their knowledge effectively.
Guidance from a renowned faculty: The programme is led by distinguished faculty from IISc’s Department of Computational and Data Sciences, featuring globally recognised academicians such as:
Prof. Sashikumaar Ganesan, Ph.D. in Computational Mathematics from OvGU, Germany, and the Programme Coordinator.
Dr. Deepak Subramani, Ph.D. from MIT, USA, and an alumnus of IIT Madras, with expertise in computational modeling.
Prof. Yogesh Simmhan, Ph.D. in Computer Science from Indiana University, USA, specializing in scalable data management and machine learning.
Prof. Sundeep Prabhakar Chepuri, Ph.D. TU Delft, Netherlands with expertise in ML, AI, and statistical inference for Data and Network Sciences.
Prof. Shashi Jain, PhD Applied Mathematics, TU Delft, Netherlands
BTech and MTech IIT Madras. His interests include quantitative finance, and investment decisions related to energy and environmental sectors.
Why should you join this programme: 3 unique reasons
1. Learn from India’s top-ranked faculty at IISc
This Data Science Course offers exclusive access to IISc’s expert faculty across engineering and management sciences, ensuring a blend of academic rigor and practical insights. With a comprehensive approach that combines academic rigor and industry relevance, the curriculum includes curated capstone projects and the option to Bring Your Own Project (BYOP), supported by 12 months of live, interactive online sessions on TalentSprint’s Pracademic digital delivery platform iPearl.ai. Learners also gain 360° insights and 1:1 mentoring from leading experts.
2. Wide appeal across industries and career stages
The participants of this programme come from diverse industry backgrounds and bring varying levels of experience from notable companies like Accenture, Apple, IBM, Microsoft, Deloitte, JPMorgan Chase & Co., and Infosys, among others. A significant percentage (37%) are early-career professionals with 1-5 years of experience, while others have more than 15 years of experience (18%), demonstrating the programme’s wide appeal across career stages. This blend of diverse professional experiences ensures dynamic networking opportunities and knowledge sharing, making the program an ideal platform for career advancement and business growth.
3. Prepare for the hyper-digital economy
In an age where Data Science is transforming business and society, this programme empowers participants to design, build, and deploy data-driven solutions. With industry-aligned projects and access to TalentSprint’s network, participants are well-equipped to navigate the growing opportunities in data science, ensuring they stay at the forefront of business and societal transformation.
What is the real-world impact of this programme?
With over 900+ participants enrolled to date, alumni from top organizations report enhanced career opportunities and decision-making capabilities, moving into data-centric roles such as Data Analysts, Machine Learning Engineers, Data Architects, and more. Graduates are proficient in industry-standard tools like SciPy, PySpark, Keras, and Xverse, positioning them to excel in a competitive job market.
They also gain exclusive access to TalentSprint Career Accelerator, which supports alumni with professional development tools such as resume building, LinkedIn profile makeovers, premium membership to IIMJobs or Hirist, and lifetime access to the TalentSprint Alumni Network for career advancements and networking opportunities with peers and industry leaders.
Alumni success stories

Who should enroll in this programme?
The eligibility criteria allows bachelors (four years or equivalent) or Masters in Science /Engineering / Management to apply for the programme. A minimum of 1 year work experience is mandatory and programming knowledge is required.
This programme is best suited for:

Programme details
Application fee: Rs 2,000
The demand for data science professionals will continue to rise as businesses increasingly rely on data to drive innovation and growth. With an industry-aligned curriculum, expert mentorship, and the backing of India’s leading research institute, this programme ensures that participants are well-prepared to excel in the field of data science. The next cohort begins soon. Register today to secure your place and take a significant step towards mastering data science.
References
¹https://www.statista.com/statistics/254266/global-big-data-market-forecast/
²https://hr.economictimes.indiatimes.com/news/industry/11-5-million-data-science-jobs-will-be-created-globally-by-2026-report/87800256
Disclaimer: This article has been produced on behalf of Talentsprint by the Times Internet’s Spotlight team.