Academics


B Tech (Robotics and Automation)

Dr. Arunkumar Bongale
M.Tech., Ph.D., Professor & Head,
Robotic and Automation program

Overview

In the past few decades, a fourth industrial revolution has emerged, known as Industry 4.0. Industry 4 takes the emphasis on digital technology to a whole new level with the help of interconnectivity through the Internet of Things (IoT), access to real-time data, and the introduction of cyber-physical systems. It connects the physical system with digital, and allows for better collaboration and access across departments, partners, vendors, product, and people. Industry 4 empowers business owners to better control and understand every aspect of their operation, and allows them to leverage instant data to boost productivity, improve processes, and drive growth.

Robotics and automation are considered as one of the integral and significant parts of Industry 4.0. In the current era, automated machines like robots have turned out to be extremely beneficial for various sectors - starting from assisting humans around the house to industrial applications like assembling and packing products and helping doctors in performing complex surgeries. This new development has opened a door for enormous opportunities for the skilled and trained professionals.

The B.Tech program in Robotics and Automation at SIT is designed to equip the students with the right set of skills required for the Industry 4.0. With a B.Tech degree in Robotics and automation, and will acquire the multidisciplinary skills which is the demand of today’s corporate and business world.

Uniqueness of programme

  1. Industry Connect:
    • Guest Lectures from Industry Experts
    • Industrial Visits
    • Industry Sponsored Projects
  2. Complete One Semester (6 Months) Compulsory Internship at a renowned Robotics and Automation Industry.
  3. Semester Exchange Programs: Opportunity to study at a foreign university offering expertise in robotics and automation.
  4. Industry Sponsored Labs: Hands on experience in the industry sponsored labs, with industrial grade equipment and facilities.
  5. Opportunity to get Associated with international and national professional bodies such as All India Council for Robotics and Automation (AICRA), IEEE Robotics and Automation Society etc.
  6. Multidisciplinary specialization courses from 3rd year onwards - Artificial Intelligence and Machine Learning (AI&ML), Smart Manufacturing and Industry 4.0, Mechatronics and Internet of Things (IoT), E-Vehicles and Autonomous Technology etc.
  7. Students Clubs and Student Chapters - Opportunity to participate in National and International Robotics competitions.
  8. Research and Development: Opportunity to get research funding for the student research projects.

International Collaboration: (MoUs for International collaborations)

  1. Ingolstadt University,Germany
  2. Indiana University Purdue University, Indianapolis,U.S.A
  3. Nanyang Technological University,Singapore
  4. Leibniz University,Germany
  5. Berlin School of Law andEconomics
  6. Telecom Ecole De Management,Paris
  7. University of Adelaide,Australia
  8. University of Malta,Malta
  9. King Mongkut’s University,Thailand
  10. University of Malaya,Malaysia
  11. Ritsumeikan University,Japan
  12. Hanyang University, SouthKorea
  13. Western University,Canada
  14. RUDN University,Russia

Industrial Collaborations: (MoUs)

  1. Tech Mahindra Makers lab
  2. KPIT
  3. Glass Academy
  4. Netcracker Corporation
  5. MINDA Corporation

Scope of employment

  1. Industries dealing with Process Control going to next echelon of information intensive smart control
  2. Organizations in the business of robotics, automation and Embedded systems
  3. Organizations dealing with AI applications to the engineering systems
  4. Research Organizations working with focus on creating Industry 4 systems
  5. Digital Supply Chain- interfacing with R&D, Presales, manufacturing, marketing, Sales and Logistics
  6. Software Technology Platforms of Cloud, Big Data, IoT, Data Analytics, Smart Devices etc.
  7. Healthcare, agriculture, Food Industry, Manufacturing and Defence.

Potential Recruiters

  1. Ernst & Young
  2. Genpact
  3. Capgemini
  4. Kelly Services
  5. TCS (Tata Consultancy Services)
  6. L&T
  7. Infosys, HCL Technologies and other software companies

Intake for Robotics and Automation:

B.Tech: 60


Departmental Brochure

Eligibility

Passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry /Biotechnology / Biology / Technical Vocational subjects.
Obtained at least 45% marks (40% in case of candidate belonging to reserved category) in the above subjects taken together.
Good scores in any one of the following entrance exams: SIT Engineering Entrance Exam (SIT EEE) or JEE (Main) or Any State Government Engineering Entrance Examination.



Intake for Robotics and Automation:


B.Tech: 60


Know about the admission process for B.Tech

https://sitpune.edu.in/first_add_admission_procedure

PROGRAM OUTCOMES (PO)

Engineering Graduates will be able to:

  1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  2. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  3. Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  4. Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
  6. The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  7. Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  10. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
  11. Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  12. Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

PROGRAM SPECIFIC OUTCOMES (PSOs)

A graduate of the Robotics & Automation program will demonstrate:

  • PSO 1: An ability to apply interdisciplinary technical knowledge to design and implement complex systems to solve engineering problems in Industry 4.0 domain.

  • PSO 2: An ability to make use of acquired technical knowledge for a successful career, research and entrepreneurship in the areas like robotics, automation, Internet of Things, Artificial Intelligence and Machine Learning.