B. Tech. Robotics & Artificial Intelligence

Duration
4 Years
Eligibility

Eligibility Norms for Admission to B. Tech Programs:

Passed 10+2 examination with Physics/ Mathematics Compulsory along with Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together.



Eligibility Norms for Admission to B. Tech Programs (Lateral):

Passed Minimum THREE years / TWO years (Lateral Entry) Diploma examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) in relevant branch of Engineering and Technology as mentioned in the AICTE APH 2024-25.
OR
Passed B.Sc. Degree from a recognized University as defined by UGC, with at least 45% marks (40% marks in case of candidates belonging to reserved category) and passed 10+2 examination with Mathematics as a subject.
OR
Passed B.Voc/3-year D.Voc. Stream in the same or allied sector. (The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to achieve desired learning outcomes of the programme)

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B. Tech. Robotics & Artificial Intelligence

Programme Overview

The Bachelor of Technology in Robotics and Artificial Intelligence equips students with the essential skills for the future. With AI-driven robotics transforming industries like healthcare, education, automotive, and agriculture, professionals in this field are in high demand.
Robotics and AI play a crucial role in intelligent decision-making, automation, efficiency, and innovation, making them indispensable across various sectors. Gaining expertise in these areas ensures job security and opens doors to cutting-edge career opportunities. As technology advances, this program prepares students to tackle real-world challenges and excel in a rapidly evolving industry.

Course Curriculum

  • 01Calculus and Differential Equations - MAT2301
  • 02Optoelectronics and Quantum Physics - PHY2501
  • 03Engineering Graphics - MEC1006
  • 04English for Technical Communication - ENG1900
  • 05Computational Thinking using Python - CSE1500
  • 06Digital Design - ECE2022
  • 07Introduction to Design Thinking - DES1146
  • 08Optoelectronics and Quantum Physics Lab - PHY2504
  • 09Industry Readiness Program – I - PPS1025
  • 10Digital Design Lab - ECE2052
  • 01Probability and Statistics - MAT2402
  • 02Environmental Studies - CHE7601
  • 03Foundations of Integrated Engineering - CIV1200
  • 04Chemistry of Smart Materials - CHE2501
  • 05Problem Solving using C - CSE2200
  • 06Advanced English - ENG2501
  • 07Basics of Electrical and Electronics Engineering - EEE1200
  • 08Indian Constitution - LAW7601
  • 09Problem Solving using C Lab - CSE2201
  • 10Chemistry of Smart Materials Lab - CHE2502
  • 11Industry Readiness Program – II - PPS1026
  • 12Basics of Electrical and Electronics Engineering Lab - EEE1250
  • 13Design Workshop - ECE1511
  • 01Linear Algebra and Vector Calculus - MAT2303
  • 02Data Communication and Computer Networks - CSE2251
  • 03Data Structures and Algorithms - CSE2278
  • 04Data Structures and Algorithms Lab - CSE2054
  • 05Object Oriented Programming Using Java - CSE2255
  • 06Object Oriented Programming Using Java Lab - CSE2256
  • 07Embedded Systems using Micro Controllers - ECE2530
  • 08Embedded Systems using Micro Controllers Lab - ECE2531
  • 09Introduction to Robotics and Automation - MEC3420
  • 10Introduction to Aptitude - APT4002
  • 11Universal Human Values and Ethics - CIV7601
  • 01Discrete Mathematics - MAT2404
  • 02Machine Learning - CAI2500
  • 03Machine Learning Lab - CAI2501
  • 04Deep Learning - CAI2502
  • 05Deep Learning Lab - CAI2503
  • 06IoT and Automation - RAI2004
  • 07IoT and Automation Lab - RAI2005
  • 08Control Systems for Robotics - EEE2509
  • 09Control Systems for Robotics Lab - EEE2566
  • 10Essentials of AI - CSE2264
  • 11Essentials of AI Lab - CSE2265
  • 12Aptitude Training - Intermediate - APT4004
  • 13Essentials of Finance - FIN1002
  • 01Sensors and Actuators for Robotics - EEE2511
  • 02Electrical Machines and Drives - EEE2510
  • 03Electrical Machines and Drives Lab - EEE2567
  • 04Transform Techniques, PDE and Probability - MAT2503
  • 05Hydraulic and Pneumatic - MEC2029
  • 06Robot Operating System - RAI2002
  • 07Robot Operating System Lab - RAI2003
  • 08Professional Elective – I - CSEXXXX
  • 09Internship - CSE7000
  • 10Logical and Critical Thinking - APT4006
  • 01Communication Systems for Robotics - ECE2532
  • 02Software Design and Development - CSE2271
  • 03Competitive Programming and Problem Solving - CSE2274
  • 04Professional Elective – II - CSEXXXX
  • 05Professional Elective – III - CSEXXXX
  • 06Open Elective – I - XXXXXXX
  • 07Aptitude for Employability - APT4005
  • 01Professional Elective – IV - CSEXXXX
  • 02Professional Elective – V - CSEXXXX
  • 03Professional Elective – VI - CSEXXXX
  • 04Open Elective – II - XXXXXXX
  • 05Preparedness for Interview - PPS3018
  • 06Mini Project - CSE7100
  • 01Capstone Project – CSE7300

Programme Educational Objectives

Programme Outcomes (POs)

Programme Specific Outcomes

Student handbook

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USP

  • Futuristic Curriculum – Covers AI, ML, Deep Learning, Autonomous Navigation and Vehicles, Robotics, IoT, Automation, and Computer Vision with hands-on applications.
  • Hands-on Learning – Project-Based Learning, robotics lab simulations, hackathons, and real-world AI projects with industry exposure.
  • High Placement Record – Strong recruiter network (Tesla, Google, ABB, Infosys, TCS, Wipro), UiPath pre-placement training, and career support.
  • Research & Innovation – Access to state-of-the-art robotics labs, AI research, autonomous systems projects, and startup incubation centers.
  • Global Certifications & Collaborations – Integrated courses from AWS, Google AI, Nvidia, Microsoft, plus international exchange programs.
  • Holistic Development – Focus on soft skills, leadership, AI ethics, and responsible AI, preparing students for top tech & research roles.

Career Opportunities

  • Robotics Engineer

  • Robotics Process Automation Engineer

  • Autonomous Vehicle Engineer

  • Autonomous Systems Engineer

  • Data Scientist

  • Data Analyst

  • Data Engineer

  • Business Intelligence Analyst

  • Reporting Analyst

  • Research Executive

  • AI Consultant

  • AI Engineer

  • Machine Learning Engineer

  • AI Product Manager

  • AI Security Specialist in Embedded Systems

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Begin an extraordinary journey with Presidency University.