IISc Certification | Interactive Live Online Programme | Classes Starting in September

IISc Certification | Interactive Live Online Programme | Classes Starting in September

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3 Reasons Why This Programme is Unique

Learn from the Leading Faculty at IISc, World’s Top Research 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

Information is the oil of the 21st century, and analytics is the combustion engine

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

  • QS World University
    Rankings #1 (2022)*
  • 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)

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

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

  • Bridge Module (Essential Math and Programming)**
  • 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 programme through various experiments, projects and hackathons in a compelling manner.

**Strengthen your foundations in Math and Programming for your DeepTech learning journey.

Schedule

Interactive Online Classes

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

View Details

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.


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

Career Accelerator

TalentSprint's Career Accelerator offers real, tangible, and far-reaching career advancement and transformation solutions to programme participants. At TalentSprint, we are committed to helping participants connect, explore, and empower their future.

  • kaggle logo Compelling Profile
    Build a compelling professional profile with a DeepTech edge
  • kaggle logo Priority Career Access
    Get priority access to career opportunities in the industry
  • kaggle logo Elite Community
    Become a member of an exclusive community of DeepTech experts
  • kaggle logo Startup Mentorship
    Boost your startup ideas with professional mentorship

Know More

Eligibility

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

Work Experience: Minimum 1 Year

Coding Experience: Programming Knowledge Required

Strengthen your foundations in Math and Programming through the Bridge Module by TalentSprint.

Note: Exceptional engineering students and engineering graduates may apply for special selection on a case to case basis.

Enrolment Process

  • Application

    Apply for
    Programme

  • Block Your Seat

    Submit
    Details

  • 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.

Participant Profile

  • 100+Companies

  • 75%Large Companies

  • 18+Sectors

  • 20%Women
    Participants

  • 12Years Average
    Work Experience

  • 32Years Highest
    Work Experience

    Job Profile

  • 15% Leaders

  • 26%Managers

  • 22%Analysts

  • 38%Developers

From Diverse Job Roles

Application Development Senior Analyst
Application Development Team Lead
Assistant Audit Officer
Assistant Manager
Assistant Professor
Assistant System Engineer
Associate Engineer
Associate Partner
Associate Software Developer
Business Intelligence Analyst
CTO
Data Analyst
Data And Machine Learning Engineer
Data Engineer
Data Scientist
Database Administrator
Design Engineer
Digital Marketing Strategist Data Analyst
Digital System Architect
Engineer
Engineering Head
Engineering Programme Manager
General Manager
Group Manager
Head of Marketing & Product Development
IOT Architect
Lead Analyst
Lead Engineer
Manager
Php Developer
Principal Process Engineer
Production Specialist
Project Engineer
Project Manager
Research Assistant
Salesforce Developer
Senior Associate
Senior Consultant
Senior Data Analyst
Senior Executive
Senior Financial Associate
Senior Manager
Senior Manager R&D
Senior Software Engineer
Senior Staff Engineer
Senior tech Lead
Senior Technical Leader
Software Engineer
Solution Architech
Sr Application Development Group Manager
Sr Business Analyst
Sr Executive GRC
Staff Data Engineer
Student
System Engineer
Tech Arch Science Manager
Tech Architect
Technical Director
Technical Lead
Technical Specialist
Technical Writer
Technology Analyst
Vice President

From Top Organizations

Accenture
Adobe
Amazon
Atkins
Bank Of America
Bharat Electronics
BT Group
Capgemini
Cisco
Citibank
Club Mahindra Holidays
Cognizant
Dassault Systems
DBS Bank
Deutsche Bank
Dr. Reddys Laboratories
DXC Technology
EY
Fidelity Investments
Havells
HCL
Honeywell
HSBC Bank
Huawei
IBM
IDFC FIRST Bank
Infosys
JPMorgan Chase
KPIT Technologies
McDermott International
Mckinsey
Micromax Informatics
Mindtree
Nielsen Holdings
NTT Data
Oracle
Reliance Digital
Renault Nissan Technology
Samsung
SAP
Schneider Electric
Shell India
State Bank of India
Swiggy
Tata Hitachi Construction Machinery
TCS
Virtusa
VISA
VMware
Wells Fargo
Wipro

From Across Indian Cities and International Locations

Bangalore
Chennai
Delhi
Faridabad
Hyderabad
Jaipur
Kolhapur
Kolkata
Mumbai
Noida
Patna
Pune
Sambalpur
Vijayawada
Dubai
Hong Kong
Sweden
Singapore

Find out why professionals want to join the programme

"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.

Fee

Details Domestic Participants International Participants
Programme Fee ₹4,00,000
₹3,00,000		 $6,000
$4,500

18-Month 0% EMI and Scholarships are available. Please contact your Relationship Manager for details.GST as applicable

Upon successful enrolment, the application fee of ₹2000 ($30) will be adjusted with the programme fee.
Campus visit fee to be borne by participants. Will be based on actuals.
Fee paid is non-refundable and non-transferable.

About TalentSprint

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.

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