IISc Certification | Interactive Live Online Programme | Corporate Scholarship Closes on June 27
Corporate Scholarship Closes on June 27
Information is the oil of the 21st century, and analytics is the combustion engine
Top Data Science Career Opportunities
The Advanced Certification Programme in Computational Data Science enables working professionals to gain practical hands-on experience in solving real-life challenges. The programme will teach participants how to build powerful models to generate actionable insights, necessary for making data-driven decisions.
The 10 month programme will be taught by world class faculty from a global institution and supplemented with industry learnings. It offers a unique 5-step learning process of LIVE online faculty-led interactive sessions, capstone projects, mentorship, case studies and data stories to ensure fast-track learning.
Indian Institute of Science (IISc), with its expertise in multi-disciplinary science, is best positioned to offer the programme on Computational Data Science. Delivered in association with TalentSprint, this executive friendly programme is best suited for professionals who are willing to gain an in-depth understanding of the mechanics of working with data and identifying insights.
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 Advanced Programme in Computational Data Science will be delivered by IISc’s Centre for Continuing Education (CCE). 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.
*Based on metric of Citations per Faculty
IISc faculty members are an impressive group bearing academic accreditation from premier institutions around the world
Ph.D. Computational Mathematics, OvGU Germany
Chairman, Department of Computational and Data Sciences, previously Postdoc at Imperial College London and WIAS Berlin. Research areas include Finite Element Analysis, Parallel Algorithms, Data-Driven Modeling, ML/NN for CFD.
Ph.D. Aerospace Engineering, Texas A&M University, USA
Assistant Professor in the Department of Computational and Data Sciences, IISc, and previously a postdoctoral researcher at Sandia National Laboratories, USA. His research focuses on ML/AI for fluid mechanics, anomaly/extreme event detection, high performance scientific computing and combustion applications.
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).
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.
Ph.D. Mechanical Engineering and Computation, MIT USA,
B.Tech and M.Tech, IIT Madras
Assistant Professor in the Dept. of Computational and Data Sciences, IISc. His research focuses on ML/AI for Environmental Forecasting, Data-Driven Routing of Autonomous Vehicles, Bayesian Learning and Data Assimilation, Uncertainty Quantification, and Computational Optimization.
Ph.D. Mechanical Engineering , University of Michigan, Ann Arbor, USA
B.Tech, NITK Surathkal, M.Tech, IISc Bangalore
Assistant Professor in Department of Computational and Data Sciences, IISc, and previously Research Faculty at the University of Michigan. Research interests include algorithms for quantum-mechanical material modelling at extreme-scale, ML/AI frameworks for accelerating materials-physics simulations, Multi-scale modeling. Lead developer of 2019 Gordon-Bell prize finalist code DFT-FE.
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.
Analyse how industry uses computational data science through real-world use cases
Showcase your data science journey in the programme through various experiments, projects and hackathons in a compelling manner.
Classes start in September 2021
1 Campus Visit of 3 Days
Dates will be decided keeping the safety of participants in mind. Fees will be based on actuals.
Education: Bachelors (four years or equivalent) or Masters in Science/Engineering/Management
Work Experience: Minimum 1 Year
Coding Experience: Programming Knowledge Required
Note: Exceptional engineering students and engineering graduates may apply for special selection on a case to case basis.
The selection for the programme will be done by IISc and is strictly based on the education, work experience, and motivation of the participants.
"My motivation of pursuing this program is to accelerate my career in this extremely niche domain where I can apply my IT and mathematical skills to find solution to modern days problems."
- Akhilesh Arya, Consulting
"As a data scientist, my work involves building ML and DL propensity and forecasting models for Credit Cards, Insurance, and Accounts. With this program, I wish to enhance my expertise and also advance my career."
- Ajeetesh Mishra, Insurance Company
"As an HR professional, I want to build a sound understanding of Data Science and apply the same to streamline HR activities at my workplace."
- Ramyasri Murali, IT Solutions
"I believe this programme will help me develop that basic computational approach required to carry out the data analysis and excel in my research field."
- Dr Deshika Kohli, Education
"The Data Science field had always caught my attention during my engineering days coupled with my dream to study at IISc. This opportunity fulfills two of my goals in one go."
- Keshav Singhal, IT & Software
"I was on a career break, preparing for UPSC exams. Now, I am looking forward to getting back to the job, but with additional expertise. Hence joined this programme and firmly believe that I made the right decision."
- Manish S, Consulting
"I have almost 8 years of experience in the quantitative finance industry. My job role involves working on pricing model development and validation and risk management. With this programme, I am looking forward to gaining an application-oriented knowledge of Data Science and use the same at my workplace."
- Hitesh Kapoor, BFSI
"I am currently working on EPM with regards to financial planning and forecasting. Learning Data Science will help me perform efficiently and produce desired outcomes at work."
- Peeyush Khare, Telecommunication
"Although I am working on mainframe, I have keen interest in learning newer technologies and further want to explore career opportunities in the same. Hence joined this programme."
- Parsita Sarkar, BFSI
Note: These are edited versions based on the details submitted by various programme applicants.
|Details||Domestic Participants||International Participants|
18-Month 0% EMI and Scholarships are available. Please contact your Relationship Manager for details.GST as applicable
TalentSprint, a National Stock Exchange (NSE) Group Company, brings transformational high-end and deep-tech learning programs to emerging 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. Its programs have consistently seen a high engagement rate and customer delight. For more information, visit www.talentsprint.com.
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 (Indian Institute of Science) is India's foremost academic institution that offers world-class education in science, engineering, design, and management. The programme will be delivered by IISc’s Centre for Continuing Education (CCE). 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.
TalentSprint brings high-end and deep-tech education to aspiring and experienced professionals. It partners with world-class academic institutions and global corporations to develop and offer disruptive programmes. TalentSprint's state-of-the-art digital delivery platform delivers unique online and onsite experiences that help build cutting-edge expertise, for today and tomorrow.
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.
The 10-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.