IITM CCE Certification | Placement Support by TalentSprint | Early Bird Scholarship Open
Early Bird 2 Scholarship Closing on August 10
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Top Career Opportunities in Data Science and Machine Intelligence
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.
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.
The faculty members of RBCDSAI at IIT Madras are an impressive group bearing academic accreditation from premier institutions around the world
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.
*Dates will be decided keeping the safety of participants in mind. Fees will be based on actuals.
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
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.
45%3 - 5 Years
"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.
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It is well known that Data Science helps businesses extract actionable insights from massive sets of data. Data Science and the technologies empowering it, like AI and Machine Learning, have become central to every business strategy today.
However, Applied Data Science takes the game many notches higher. It broadens the scope of data science to include
Applied Data Science becomes important in the backdrop of the fact that the global data created per day is likely to reach 463 Billion GB/Per Day by 2025 from 44 Billion GB/Per Day in 2016 according to IDC. Such massive data cannot be made sense of by traditional algorithms.
This is where Machine Intelligence (MI) can add immense value to business in conjunction with Applied Data Science.
Machine Intelligence as a higher evolution of machine learning - a stepping stone to true AI.
According to LinkedIn, Applied Data Science and Machine Intelligence offers exciting job opportunities for professionals with expertise in these fields.
The IIT Madras Advantage
Cutting-edge Applied Learning
The TalentSprint Advantage
The programme will be delivered in an interactive online format, retaining effectiveness while maintaining safety. The format uniquely combines the benefits of an in-class programme with the flexibility and safety of online learning.
The programme will be delivered on TalentSprint's patent-pending iPearl.ai, a leading digital learning platform of choice used for programs delivered by the likes of Google, IIM Calcutta, IIT Hyderabad, IISc, and IIT Kanpur, to name a few.