IISc Certification | Interactive Live Online Programme | Starts in December 2021

Applications Open

70% Seats
Offered

IIM Calcutta Video

3 Reasons Why This Programme is Unique

Learn from the leading faculty at IISc, India’s #1 NIRF ranked university

  • Designed by IISc’s Computational and Data Sciences Department
  • Taught by 7 Engineering and Management Sciences Faculty from IISc
  • Curated Industry Capstones, and option to Bring Your Own Project
  • 1:1 Mentoring by Industry and Academia Experts
  • 360° Learning on TalentSprint’s best-in-class Pracademic Platform

Demonstrate your expertise to get an edge in your career

  • Build compelling Data Stories to chronicle your learning journey
  • Strengthen your resume by showcasing your expertise through Data Stories

Reboot your career for the post-pandemic hyper-digital economy

  • Get ready for a new world where Data Science is transforming business and society at an unprecedented pace
  • Design, build and deploy solutions to take data-driven real-world decisions
  • Derive lifelong benefits from TalentSprint’s growing network of Data Scientists

Top Data Science Career Opportunities

  • Data Analyst
  • Data Engineers
  • Database Administrator
  • Data Scientist
  • Data Architect
  • Data and Analytics Manager
  • Business Intelligence Developer
  • Machine Learning Engineer
  • Business Analyst
  • And more

About the Programme

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.


About Indian Institute of Science

  • India’s #1 University by NIRF (2016-20)
  • 2 Bharat Ratna Awardees
    (1954, 2014)
  • Times Higher Education
    #1 University in India (2020)
  • RUR World
    #62 (2020)
  • QS Global World
    Ranking #185 (2020)

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.

Learn from Leaders

IISc faculty members are an impressive group bearing academic accreditation from premier institutions around the world

Prof. Sashikumaar Ganesan
Numerical Analysis, Data-driven Science, Scalable Algorithms

Ph.D. Computational Mathematics, OvGU Germany
Program Coordinator

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.

Prof. Konduri Aditya
Computational Fluid Dynamics, High Performance Computing

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.

Prof. Yogesh Simmhan
Data and Computing Systems, Big Data, Internet of Things

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).

Prof. Shashi Jain
Quantitative Finance, Derivative Pricing, Real Option Analysis

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.

Prof. Deepak Subramani
Bayesian Learning, ML/AI for Environment Forecast, Autonomy

Ph.D. Mechanical Engineering and Computation, MIT USA,
B.Tech and M.Tech, IIT Madras
Program Co-Coordinator

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.

Prof. Phani Motamarri
ML for Materials Design, Computational Materials Physics and Linear Algebra

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.

Prof. Sundeep Prabhakar Chepuri
Computational Signal Processing, GNN, ML, Statistical Inference

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.

Curriculum

Modules

  • Computational Data Science in Practice
  • Mathematics of Data Science
  • Data
    Engineering
  • Machine
    Learning
  • Neural
    Networks
  • Business
    Analytics

Capstone Projects (Option to Bring Your Own Project)

  • Computer vision recognition app
  • Computer data network security
  • Games and games technology
  • Data mining system processor
  • Business analytics simulation and forecasting
  • Optimizing web views through analysis of analytics data
  • Improving employee retention through analysis of data
  • System for predicting stock prices
  • Analysis of
    health records
  • Prediction of disease outbreaks

Case Studies

Analyse how industry uses computational data science through real-world use cases

Data Stories

Showcase your data science journey in the program through various experiments, projects and hackathons in a compelling manner.

Schedule

Live Online Sessions on iPearl.ai

  • Faculty-led Interactive Sessions
  • Convenient Schedule
  • Direct to Device

View Details

1 Campus Visit of 3 Days
Dates will be decided keeping the safety of participants in mind. Fees will be based on actuals.


What should you expect from this Programme?

  • LearnLearn from Leading IISc Faculty
  • ReinforceReinforce Learning by Applying Concepts
  • NetworkNetwork with Current and Future Data Science Practitioners
  • EarnEarn Executive Programme Certificate from IISc

Eligibility

Education: Bachelors (four years or equivalent) or Masters in Science/Engineering/Management

Work Experience: Minimum 1 Year

Coding Experience: Programming Knowledge Required

Enrolment Process

  • Application

    Apply for
    Programme

  • Block Your Seat

    Submit
    Documents

  • Enrollment

    Await
    Selection

  • Enrollment

    Join
    Programme

The selection for the programme will be done by IISc and is strictly based on the education, work experience, and motivation of the participants.

Fee

Details Domestic Participants International Participants
Programme Fee
Early Bird Fee		 ₹4,00,000
₹3,00,000 		$6,500
$5,000
24-month interest-free EMI
EMI Details		 ₹14,750/Month

Application fee ₹2000 will be adjusted in the programme fee.GST as applicable

Campus visit fee to be borne by participants. Will be based on actuals.

About TalentSprint

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. Funded by Nexus Venture Partners and NSDC, it is the recipient of several national and international awards including Dream Company To Work For 2017, Best Innovative Technology Organisation In Education Sector Award 2016, World HRD Congress HR Tech Leader Award 2014, CIO Review Company of the Year Award 2014, Silicon India Industry Performer of the Year Award 2014 and others. For more information please visit www.talentsprint.com.

News

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