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Advanced Certification in Computational Data Science

This 12-month PG Level Advanced Certification program in Computational Data Science from IISc offers a unique blend of theoretical foundations and practical applications. Led by distinguished faculty from India's #1 ranked university, the program covers essential topics from probability and statistics to advanced machine learning and generative AI. Participants engage in live interactive sessions, work on industry-relevant projects, and benefit from one-on-one mentoring. The curriculum includes two campus visits, providing hands-on experience and networking opportunities. With a focus on both theoretical understanding and practical implementation, graduates emerge equipped to tackle complex data science challenges and drive data-driven decision-making in their organizations.

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  • Course Start Date:

    Starting soon

  • Application Deadline:

    To be announced

  • Duration:

    12 Months

3,00,000 - 4,00,000

Overview

The PG Level Advanced Certification in Computational Data Science from IISc is designed to equip professionals with comprehensive skills in data science and machine learning. This prestigious program combines theoretical foundations with practical applications, enabling participants to solve complex real-world problems. Led by distinguished faculty from India's top-ranked university, the program offers a blend of live interactive sessions, hands-on projects, and industry mentorship.

Why Technology & Analytics?

The program stands out for its comprehensive curriculum covering fundamentals to advanced topics, distinguished faculty from India's #1 university, practical hands-on learning approach, and industry-relevant project work. The executive-friendly format allows professionals to continue working while upgrading their skills.

What does this course have to offer?

Key Highlights

  • World-class faculty from IISc

  • Two campus visits for hands-on learning

  • 100% LIVE Interactive Classes

  • Industry-relevant capstone projects

  • One-on-one mentoring

  • Comprehensive curriculum from basics to advanced topics

Who is this programme for?

  • Tech professionals seeking data science expertise

  • Data scientists and architects looking for career growth

  • Programmers aspiring to become data scientists

  • Leaders building data-driven organizations

Minimum Eligibility

  • Bachelors (four years) or Masters in Science/Engineering/Management

  • Minimum 1 Year work experience

  • Programming Knowledge Required

Who is the programme for?

The program follows a rigorous selection process by the IISc committee based on education, work experience, and motivation. Applicants must have a four-year bachelor's degree or master's in relevant fields and minimum one year of work experience. The program includes regular assessments and project evaluations to ensure learning effectiveness.

Important Information

Selection process

How to apply?

Curriculum

The curriculum spans 10 modules including foundational concepts, machine learning, AI at scale, neural networks, generative AI, data engineering, and business analytics. The program concludes with two extensive capstone projects allowing participants to apply their learning to real-world problems.

There are 11 semesters in this course

The program delivers comprehensive learning through multiple modules starting with foundational concepts in probability, statistics, and mathematics. It progresses through machine learning, neural networks, and advanced topics like generative AI and business analytics. The curriculum emphasizes hands-on learning through mini-projects and culminates in capstone projects.

Bridge Module

Module 1: Foundations of Data Science: Probability and Statistics

Module 2: Foundations of Data Science: Calculus and Matrix

Module 3: Machine Learning

Module 4: AI at Scale

Module 5: Neural Networks

Module 6: Generative AI in production

Module 7: Data Engineering

Module 8: Business Analytics

Module 9: Capstone Part 1

Module 10: Capstone Part 2

Programme Length

12 months with weekend classes of 2-3 hours each. The program includes 335 hours of immersive learning with 245 hours of classes, practicals, case studies, mini-projects, tests, and campus visits, plus 90 hours of tutorials.

Whom you will learn from?

Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.

Instructors

Associate Professor at IISc's Department of Computational and Data Sciences

Prof. Yogesh Simmhan is an expert in Data and Computing Systems, specializing in Big Data, Cloud Computing, and the Internet of Things (IoT). He is an Associate Professor at IISc's Department of Computational and Data Sciences. Previously, he worked as a Research Faculty at USC and as a Postdoc at Microsoft Research. His research focuses on distributed systems, including abstractions, algorithms, and applications across Cloud and Edge Computing platforms.

Assistant Professor in the Department of Computational and Data Sciences at IISc

Prof. Deepak Subramani is an Assistant Professor in the Department of Computational and Data Sciences at IISc, specializing in Bayesian learning, machine learning, and AI for environmental autonomy. With a Ph.D. from MIT and degrees from IIT Madras, his research focuses on applying AI and ML to environmental and engineering challenges, including autonomous robots, weather forecasting, and renewable energy. He is also dedicated to mentoring the next generation of scientists and engineers.

Tuition Fee

The program fee is ₹4,00,000 with scholarship options available bringing it down to ₹3,00,000. International participants can join at $5,000 ($3,750 with scholarship). Various financing options including 12-month EMI plans starting at ₹10,030 per month are available.

Fee Structure

Payment options

Financing options

Financial Aid

Learning Experience

Participants experience a unique 5-step learning process including LIVE online faculty-led interactive sessions, capstone projects, mentorship, case studies, and data stories. The program uses TalentSprint's AI-powered digital delivery platform for an enhanced learning experience.

University Experience

IISc provides access to world-class faculty, research facilities, and a prestigious academic environment. Participants benefit from the institute's reputation as India's #1 university and research institute, with opportunities to network with leading academics and industry practitioners.

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

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About the University

University

Established in 1909 with active support from Jamsetji Tata, IISc is India's premier public research university located in Bengaluru, Karnataka. The institute has evolved into a leading institution for higher education and advanced research in science, engineering, design, and management. With over 40 departments and centers, IISc offers diverse programs spanning sciences, engineering, and technology, maintaining its position as a global leader in research and innovation

#211

QS world ranking

#251-300*

The world ranking

2

NIRF overall rank

Affiliation & Recognition

Institute of Eminence

Institute of Eminence

NAAC

NAAC

all indian university

all indian university

Imperial college london

Imperial college london

Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Instructor

Hardik Jeetendra Pandya
Hardik Jeetendra Pandya

49 Students

1 Course

Distinguished Biomedical Engineering Expert and Medical Device Innovator

Hardik J. Pandya serves as Associate Professor in the Department of Electronic Systems Engineering at the Indian Institute of Science (IISc) Bangalore, where he leads three laboratories focused on biomedical device development. His academic journey includes a Ph.D. from IIT Delhi and postdoctoral research at both the University of Maryland and Harvard Medical School. His research focuses on developing minimally invasive and non-invasive diagnostic technologies for cancer and neurological conditions, with particular emphasis on brain, breast, head, and neck cancer diagnosis, as well as e-nose applications for diabetes screening. His significant contributions to the field are evidenced by 10 granted patents, 17 filed patents, and over 66 peer-reviewed publications in prestigious journals including Nature Microsystems and Nanoengineering. His excellence has been recognized through multiple awards including the Early Career Research Award (2017), ISSS Young Scientist Award (2020), and the DST Abdul Kalam Technology Innovation National Fellowship (2023). As a technical advisor to two Indian MedTech firms and founder of Scilogic Applied Research Private Limited, he actively works to translate biomedical innovations from laboratory to market.

Career services

IISc provides comprehensive career support through its Office of Career and Counselling and Placement (OCCAP). The institution offers extensive placement assistance, including pre-placement talks, training sessions, and grooming activities. Students receive personalized career guidance, interview preparation, and access to industry connections. The placement cell works closely with over 3,500 corporate partners to ensure strong placement outcomes and career growth opportunities. The institute maintains impressive placement records across undergraduate, postgraduate, and doctoral programs, with particular emphasis on research and technology sectors

86LPA

highest package

28LPA

average package

100%

placement rate

Top Recruiters

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Degree Course Image
  • Course Start Date:

    Starting soon

  • Application Deadline:

    To be announced

  • Duration:

    12 Months

3,00,000 - 4,00,000

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.