IITM CCE Certification | Placement Support by TalentSprint |

IISc IISc

By 2022, Data Scientists and Analysts will become top emerging roles.

Data Science will create 11.5 Million job openings by 2026.

AI early career professionals command up to ₹20 LPA.

3 Reasons Why This Programme is Unique

The IIT Madras Advantage

  • Designed by RBCDSAI at IIT Madras, India’s
    #1NIRF ranked institution
  • Taught by top researchers in Applied
    Data Science and Machine Intelligence
  • Certification from the Center for
    Continuing Education at IIT Madras

Cutting-edge Applied Learning

  • Hands-on curriculum with use cases, capstones
    for effective learning
  • Visit the IIT Madras campus* and practise at
    RBCDSAI, India’s top Applied Research Lab
  • Industry interaction with
    experienced professionals

The TalentSprint Advantage

  • Learn on TalentSprint’s
    patent-pending Digital Platform
  • Network with 3000+ TalentSprint
    Deep Tech Alumni
  • Get Dedicated Support for
    Enhanced Career Outcomes

Our Alumni Work with Top Organizations

alumni-companies

Brand logos of organizations of program participants. All logos belong to the respective brand owners.

Top Career Opportunities in Data Science and Machine Intelligence

  • Data Scientist (7000+ openings)
  • Data Science Manager (2000+ openings)
  • Machine Learning Engineer (24,000+ openings)
  • Data Engineer (29,000+ openings)
  • AI/ML Developer (4000+ openings)
  • AI Programmer (8000+ openings)
  • Junior Data Scientist (1000+ openings)
  • Junior Data Science Engineer (1000+ openings)
  • Data Analyst (10,000+ openings)
  • Applied AI/ML Analyst (600+ openings)
  • Backend AI Engineer (980+ openings)
  • and more..

About the Programme

Applied Data Science assumes a significant role in the backdrop of massive data generated from millions of devices. Currently, the daily data output is over 2.5 quintillion bytes, likely to touch 1.7 Mb of data per second per person on the planet in the future.

The 12-month PG Level Advanced Programme in Applied Data Science and Machine Intelligence enables learners to build deep tech capabilities and apply their learnings to make data-driven business decisions for their organizations.

TalentSprint is offering this programme in partnership with the Robert Bosch Centre for Data Science and AI (RBCDSAI), India’s leading research hub at IIT Madras.

The programme is best suited for early career professionals eager to build expertise for solving real-world business challenges. Participants will experience a unique learning process that includes masterclass lectures, hands-on labs, hackathons, workshops, industry interactions and a visit to RBCDSAI at IIT Madras campus to ensure fast-track learning.


Offered in collaboration with IIT Madras

  • India’s #1 Institution - NIRF
    (2020)
  • QS World University Ranking (Asia) #50 (2021)
  • #1 by Atal Rankings of Institutions on Innovation Achievements, GoI

Indian Institute of Technology Madras (IIT Madras) is globally recognized for excellence in technical education, basic and applied research, innovation, entrepreneurship and industrial consultancy. Founded in 1959 with technical and financial assistance from the former government of West Germany, IIT Madras has been the top-ranked engineering institute in India for four consecutive years as well as the ‘Best Educational Institution’ in Overall Category in the NIRF Rankings by the Ministry of Human Resource Development. For more information visit www.iitm.ac.in


The PG Level Advanced Programme in Applied Data Science and Machine Intelligence will be delivered by the Robert Bosch Centre for Data Science and AI (RBCDSAI), one of India's pre-eminent interdisciplinary research centres for Data Science and AI with the largest network analytics, deep reinforcement learning, and the most active natural language processing and deep learning groups. The Centre was started to expand AI adoption in engineering applications and leverage the available expertise on network systems modelling across various Institute departments. The programme Certification will be awarded by the Centre for Continuing Education (CCE), IIT Madras that is committed to helping build national capabilities in science, technology, humanities, management, education and research.


Learn from Leaders

The faculty members of RBCDSAI at IIT Madras are an impressive group bearing academic accreditation from premier institutions around the world

Programme Director
Ph.D., Computer Science and Automation, IISc

Assistant Professor at the Dept. of Computer Science & Engineering and core member of the Robert Bosch Center for Data Science and Artificial Intelligence (RBCDSAI), IIT Madras. Before joining IIT Madras, he worked as a research scientist at the Xerox Research Center (now Conduent Labs), Bangalore. His research interests include Machine Learning, Rank Aggregation, Statistical Learning and Sequential Decision Making.

Ph.D., Engineering Systems, MIT, Cambridge, MA, USA

Faculty member in the Department of Management Studies, core member of the Robert Bosch Center for Data Science and Artificial Intelligence (RBCDSAI), and Co-Head of the American Express Lab for Data Analytics, Risk and Technology (DART) at IIT Madras. Before joining IIT Madras, Nandan worked as a quantitative researcher for five years at a high-frequency algorithmic trading firm in New York. His research and work experience focuses on applications of experimentation, machine learning and the abstraction of data to models and algorithms. This spans data and problems across different domains, including but not limited to finance, urban mobility, digital platforms, civic services, and criminology.

Ph.D., Computer, Communication and Information Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland

Assistant Professor at the Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, coordinator of Network Systems Learning, Control and Evolution Group, core faculty member at Robert Bosch Centre for Data Science and Artificial Intelligence and Initiative for Biological Systems Engineering, IIT Madras. Nirav’s research interests include first-principle and machine learning approaches for modeling and control of biological networks from multi-sensor and multi-scale data, safe learning and control of man-made networks, and bioprocess data analysis.

Ph.D., Computer Science, University of Massachusetts, Amherst, USA

Head of the Robert Bosch Centre for Data Science & Artificial Intelligence (RBCDSAI) and Mindtree Faculty Fellow and Professor in the Department of Computer Science and Engineering at IIT Madras. He has published nearly 100 papers in premier journals and conferences such as ICML, AAAI, IJCAI, ICDM, ICLR, NeurIPS, UAI, ISMB, and AAMAS. He has also co-authored the chapter on Reinforcement Learning in the Handbook of Neural Computation published by Oxford University Press. His work with students has won multiple best paper awards, the most recent being a best-paper runner-up at AAMAS 2020. His current research interests are centred around geometric deep learning and reinforcement learning.

Ph. D., Systems Biology, IISc

Associate Professor at the Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, IIT Madras, coordinator for the Initiative for Biological Systems Engineering (IBSE) and core faculty member at RBCDSAI, IIT Madras. Karthik is also the co-founder of qBiome Research Private Limited, an IIT Madras incubated startup offering customised cellular, metabolic and process engineering solutions for the biotech, pharma and chemical industry. His group works on scalable algorithms to study biological networks, and machine learning using high-dimensional multi-omic data, with applications in metabolic engineering and disease biology.

Ph.D., Transportation Engineering, Rensselaer Polytechnic Institute, NY, USA

Associate Professor in the Transportation Engineering Division, Department of Civil Engineering and core faculty member in Robert Bosch Center for Data Science and AI, IIT Madras. His overarching goal is to develop technological and management solutions for a safe and sustainable transportation system. His primary research interests are in network modeling, dynamic traffic simulation and assignment, Intelligent Transport Systems (ITS), vehicular emissions, urban freight, public transit systems, and road safety.

Curriculum

Modules

  • Bridge
    Module
  • Foundations of
    Data Science
  • Machine Learning:
    Foundations and Algorithms
  • Machine Learning: Real-world use-cases in sectors and associated challenges
  • Deep Learning:
    Foundations and Algorithms
  • Deep Learning: Real-world use-cases in sectors and associated challenges
  • Sequential
    Learning

Capstone Projects

  • Recommendation
    Systems
  • Object Recognition
    System
  • Digit Recognition
    System
  • Financial Fraud
    Detection System
  • Anomaly Detection in
    Manufacturing Systems
  • Urban Infrastructure
    Analytics
  • Healthcare
    Analytics
  • And
    more

Detailed Curriculum

Delivery Format

  • Faculty-led Interactive Masterclass Lectures
  • Hands-on Labs
  • Mentor Support
  • Hackathons
  • Workshops
  • Interactions with Experienced Professionals
  • 1 Campus Visit of 3 Days towards the end of the cohort*

*Dates will be decided keeping the safety of participants in mind. Fees will be based on actuals.

View Details

Placement Support for Successful Career Transition

  • kaggle logo
    Target 30% Premium
    to Current Salaries
  • kaggle logo
    Build a Strong Digital Profile
    Showcasing your Expertise
  • kaggle logo
    Attend Mock Interviews
    and get ready to succeed
  • kaggle logo
    Access to Data Science
    and Analytics Roles
  • kaggle logo
    Network with 3000+ Peers and
    other DeepTech Professionals

Eligibility

Education: B.E./M.E./B.Tech/M.Tech/B.Sc./M.Sc or an equivalent degree

Work Experience: Minimum 1 Year

Coding Experience: Programming Knowledge Required


Your DeepTech Learning Journey

  • Apply for
    the Programme

    By sharing your education and professional details
  • Wait for
    Selection

    By programme selection
    committee
  • Block
    Your Seat

    By Remitting the
    Registration Fee
  • Enroll for
    the Programme

    By Remitting the Full
    Programme Fee
  • Start Building
    Expertise

    Under the mentor support
    of top Faculty
  • Get Certified by
    CCE, IIT Madras

    India’s #1 (NIRF, 2020)
    Institution

The selection for the programme will be done by IIT Madras and is strictly based on the eligibility criteria and the motivation of applicants as expressed in their statement of purpose.


Applicant Profile

  • 100+ Top
    Companies

  • 45% 3 - 5 Years
    of Experience

  • 55%Engineers

From Diverse Job Roles

System Engineer
Software Developer
Software Engineer
Senior Analyst
IT Analyst
Data Analyst
Assistant Manager
Tool Designer
Technology Analyst
Technical Architect
Technical Lead
Research Support Officer
Research Scholar
Project Engineer
Programmer Analyst
Product Analyst
Data Scientist
Application Development Analyst
Application Developer

From Top Organizations

TCS
Infosys
LTI
Deloitte
Accenture
Wipro
UBS
Tech Mahindra
Tata Communications
State Bank of India
Standard Chartered Global Business Services
Reliance Retail
PayPal
Oracle
Micron Electricals
KLA-Tencor
JPMorgan Chase
ITC
Infotech
HSBC
HDFC Bank
Google
Ford Motors
Federal Bank
FCI
Cognizant
Citibank
Barclays
Adobe
Abbott

From Across Indian Cities and International Locations

Chennai
Bengaluru
Hyderabad
Pune
Mumbai
Coimbatore
Lucknow
Kolkata
New Delhi
Jaipur
Vijayawada
Tiruchi
Noida
Nellore
Nagpur
Kochi
Kanpur
Indore
Hubli
Gurgaon
Ghaziabad
Cuttack
Cochin
Chandigarh
Ahmedabad
Dubai
New Jersey
Sydney
Singapore
Saudi Arabia
Riyadh
California
Germany
Denmark



Find out why professionals want to join the programme

"As a professional working in the Advertising/Marketing Technology space, I see the need of Data science at work."
Navin Rao, Advertising

"As an IT professional, I feel the need to learn Machine Intellegence to work on challenging technologies at work."
Karthikeyan Logamani, Banking and Finance

"I want to build cloud-based software products with data science and machine learning expertise."
Arul Kumar, ITES

"I want to return to my IT job with Data Science expertise and this programme is adept at helping me meet that goal."
Maithreyi G, Software Development

"I work in the Automotive industry. With Data Science expertise, I want to explore new opportunities in the industry."
Ram Prasanth, Press Automation

"This programme will help me stay informed about the latest Data Science trends and grow my career."
Varen Gupta, Retail

"Using Data Science, I want to grow my family-owned manufacturing business."
Kartic Ramesh, Self-Employed

"With Data Science, I want to develop a product suite for network performance analytics for 5G telecommunications."
Atin Banerjee, Telecommunications

Note: These are edited versions based on the details submitted by various programme applicants.


Fee with Flexible Payment Options

Details Domestic Participants International Participants
Programme Fee ₹3,00,000 $4500


About TalentSprint

  • Best in Class
    Hybrid Platform

  • Industry
    Partnerships

  • Academic
    Partnerships

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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