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B.Tech. in Robotics Engineering

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  • Faculty

    Faculty of Engineering and Technology

  • Department

    Department of Mechanical and Manufacturing Engineering

  • Campus

    Technology Campus (Peenya Campus)

  • Engagement Mode

    Full Time

  • Study

    4 Years

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Overview

Robotics Engineering is a highly sought-after career, with current projections indicating an 8% increase in demand for robotics engineering professionals, leading to approximately 19,920 new job positions to be filled by 2029. The persistent growth in demand for robotics engineers is attributed to the rise of Machine Learning and similar technologies, resulting in a shortage of qualified engineers.

The BTech in Robotics at RUAS represents a pioneering academic pathway at the intersection of engineering, computer science, and artificial intelligence. The program equips students with a profound understanding of robotic systems, machine learning, and automation technologies. Graduates of the BTech in Robotics Engineering course are poised to contribute to cutting-edge developments in fields such as healthcare, manufacturing, and autonomous systems. With the integration of the Internet of Things (IoT) and advancements in machine vision, this program prepares students to be architects of the future, where intelligent robotic systems play a central role in shaping the technological landscape. 

Programme Structure and Course Details

Program Objectives

  • A renowned establishment with a 62-year history
  • Accredited with NAAC A+ and ranked by NIRF
  • Faculty consisting of experts from prestigious institutions like IITs, IIMs, and more
  • Outstanding placement records, including the highest domestic package reaching Rs 45 LPA
  • Partnerships established with leading global universities such as MIT, University of Illinois, among others
  • State-of-the-art facilities including Advanced Learning Centre, Techno Center, NABL accredited Labs, Incubation Centre, etc.

Curriculum Details

Sl. No. Code Course Title Theory (h/W/S) Tutorials (h/W/S) Practical (h/W/S) Total Credits Max. Marks
1 20MTB101A Engineering Mathematics-1 3 1 0 4 100
2 20PHB102A Engineering Physics 3 0 0 3 100
3 20CES101A Engineering Mechanics 3 0 0 3 100
4 20ECS102A Elements of Electronics Engineering 3 0 0 3 100
5 20MES103A Engineering Drawing 1 0 4 3 100
6 20PHL103A Engineering Physics Laboratory 0 0 2 1 50
7 20ECL104A Basic Electronics Laboratory 0 0 2 1 50
8 20TSH101A Constitution, Human Rights and Law 2 0 0 2 50
Total 15 1 8 20 650
Total number of contact hours per week 24
Sl. No. Code Course Title Theory (h/W/S) Tutorials (h/W/S) Practical (h/W/S) Total Credits Max. Marks
1 20MTB101A Engineering Mathematics - 1 3 1 0 4 100
2 20CHB105A Engineering Chemistry 3 0 0 3 100

3
20MES105A		 Elements of Mechanical Engineering and Work shop Practice
2
0
2
3
100
4 20EES106A Elements of Electrical Engineering 3 0 0 3 100
5 20CSS107A Elements of Computer Science and Engineering 3 0 0 3 100
6 20CHL106A Engineering Chemistry Laboratory 0 0 2 1 50
7 20CSL108A Computer Programming Laboratory 0 0 2 1 50
8 20EEL109A Basic Electrical Engineering Laboratory 0 0 2 1 50
9 20TSH102A Professional Communication 2 0 0 2 50
Total 16 1 8 21 700
Total number of contact hours per week 25

Sl. No. Code Course Title Theory (h/W/S) Tutorials (h/W/S) Practical (h/W/S) Total Credits Max. Marks
1 20MTB104A Engineering Mathematics - 2 3 1 0 4 100
2 20CHB105A Engineering Chemistry 3 0 0 3 100

3		 20MES105A Elements of Mechanical Engineering and Work
2
0
2
3
100
4 20EES106A Elements of Electrical Engineering 3 0 0 3 100
5 20CSS107A Elements of Computer Science and Engineering 3 0 0 3 100
6 20CHL106A Engineering Chemistry Laboratory 0 0 2 1 50
7 20CSL108A Computer Programming Laboratory 0 0 2 1 50
8 20EEL109A Basic Electrical Engineering Laboratory 0 0 2 1 50
9 20TSH102A Professional Communication 2 0 0 2 50
Total 16 1 8 21 700
Total number of contact hours per week 25
Sl. No. Code Course Title Theory (h/W/S) Tutorials (h/W/S) Practical (h/W/S) Total Credits Max. Marks
1 20MTB104A Engineering Mathematics - 2 3 1 0 4 100
2 20PHB102A Engineering Physics 3 0 0 3 100
3 20CES101A Engineering Mechanics 3 0 0 3 100
4 20ECS102A Elements of Electronics Engineering 3 0 0 3 100
5 20MES103A Engineering Drawing 1 0 4 3 100
6 20PHL103A Engineering Physics Laboratory 0 0 2 1 50
7 20ECL104A Basic Electronics Laboratory 0 0 2 1 50
8 20TSH101A Constitution, Human Rights and Law 2 0 0 2 50
Total 15 1 8 20 650
Total number of contact hours per week 24 hours

Sl. No. Code Course Title Theory (h/W/S) Tutorials (h/W/S) Practical (h/W/S) Total Credits Max. Marks
1 20MTB201A Engineering Mathematics - 3 3 1 0 4 100
2 20RTC201A Strength of Materials 3 0 0 3 100
3 20RTC202A Measurements, Data Acquisition and Processing 3 1 0 4 100
4 20RTC203A Introduction to Robotics and Mechatronics 3 0 0 3 100
5 20RTC204A Electrical Machines Drives and Actuators 3 1 0 4 100
6 20RTL205A Strength of Materials Laboratory 0 0 2 1 50
7 20RTL206A Measurements Laboratory 0 0 2 1 50
8 20MEL206A Machine Drawing 0 0 4 2 100
9 20CEM210A Environmental Studies 2 0 0 0 Audit
Total 17 03 08 22 700
Total Number of Contact Hours per week 27

Sl. No. Code Course Title Theory (h/W/S) Tutorials (h/W/S) Practical (h/W/S) Total Credits Max. Marks
1 20MTB211A Engineering Mathematics - 4 3 1 0 4 100
2 20RTC212A Analog and Digital Electronics 3 0 0 3 100
3 20RTC213A Machine Dynamics and Laboratory 3 0 2 4 100
4 20RTC214A Artificial Intelligence for Robotics 2 2 0 4 100
5 20RTC215A Digital Signal Processing 3 1 0 4 100
6 20RTC216A Fluid Power Systems for Robots 3 0 0 3 100
7 20RTL217A Analog and Digital Electronics Laboratory 0 0 2 1 50
8 20MEL207A Mechanical Dissection 0 0 2 1 50
Total 17 04 06 24 700
Total Number of Contact Hours per week 27

Sl. No. Code Course Title Theory (h/W/S) Tutorials (h/W/S) Practical (h/W/S) Total Credits Max. Marks
1 20RTC301A Design of Machine Elements 3 1 0 4 100
2 20RTC302A Embedded Processor and Controllers 3 0 0 3 100
3 20RTC303A Robot Kinematics and laboratory 3 0 2 4 100
4 20RTC304A Computer Vision 3 1 0 4 100

5		 20RTC305A Control System 3 1 0 4 100
6 20RTL306A Control Systems Laboratory 0 0 2 1 50
7 20RTL307A Embedded Processor and Controllers Laboratory 0 0 2 1 50
Total 15 03 06 21 600
Total Number of Contact Hours per week 25

Sl. No. Code Course Title Theory (h/W/S) Tutorials (h/W/S) Practical (h/W/S) Total Credits Max. Marks
1 20RTC311A Robotic Programming and Simulation 2 0 2 3 100
2 20RTC312A Robotics Dynamics and Laboratory 3 0 2 4 100
3 20RTC313A Robotic System Design 3 1 0 4 100
4 20RTC314A Applied Control Systems 3 0 0 3 100
5 20RTC315A Digital Image Processing 3 1 0 4 100
6 20MEH301A Engineering Economics and Cost Estimation 3 0 0 3 100
7 20RTC316A Seminar 0 0 2 1 50
Total 17 02 06 22 650
Total Number of Contact Hours per week 24

Sl. No. Code Course Title Theory (h/W/S) Tutorials (h/W/S) Practical (h/W/S) Total Credits Max. Marks
1 20MEE41XA Professional Core Elective - 1 4 0 0 4
2 20MEE42XA Professional Core Elective - 2 4 0 0 4
3 20OEE41XA Open Elective - 1 3 0 0 3
4 20MEP401A 20MEI401A I] Project Work - 1 II]Internship 0 0 8 4
Total 11 0 8 15
Total Number of Contact Hours per week 19

Sl. No. Code Course Title Theory (h/W/S) Tutorials (h/W/S) Practical (h/W/S) Total Credits Max. Marks
1 20MEE43XA Professional Core Elective - 3 4 0 0 4 100
2 20OEE43XA Open Elective - 2 3 0 0 3 100
3 20MEP402A Project Work - 2 0 0 16 8 100
Total 7 0 16 15 300
Total Number of Contact Hours per week 23
Professional Core Electives (PCE):
Stream Group Applied Robotics Collaborative Robotics Data Sciences and Analytics Applied Mathematics
PCE-1, Sem. 7 Course Code 20RTE411A 20RTE412A 20MTE401A 20MTE411A
Course Title CAE for Robotics and Laboratory Statistical & Optimization Tools for Robotics Probability and Statistics Advanced Mathematics
PCE-2 Sem. 7 Course Code 20RTE421A 20RTE422A 20CSE421A 20MTE421A
Course Title Industrial Robotics and Automation Multi-agent Systems for Robotics Data Sciences and Foundation Optimization Techniques -1
PCE-3 Sem.8 Course Code 20RTE431A 20RTE432A 20CSE441A 20MTE431A/ 20MTE441A
Course Title Autonomous Robots Systems Engineering Data Analytics Advanced Numerical Methods/ Optimization Techniques -2

Eligibility Criteria

  • Pass in 2nd PUC / 12th Std / Equivalent Exam with English as one of the Languages and obtained a Minimum of 45% of Marks in aggregate in Physics
    and Mathematics along with Chemistry / BioTechnology / Biology / Electronics / Computer. 
  • Admission to University quota will be based on COMEDK/JEE/KCET scores. 

Structure

Fee Structure 
Total Fee Per year
300,000

Intake

30 Seats

Career Path

  • Robotics Engineer
  • ROS Developer
  • Hardware Engineer
  • Automation Engineer
  • Robotics Field engineer
  • Robotics Software Developer
  • Mechatronics Engineer

FAQs

Choosing the right programme, keeping track of important dates, attending entrance exams, and submitting the necessary paperwork can make applying for a programme quite an overwhelming experience. Here, we try to answer some Frequently Asked Questions that might help you with the process of admission. Since the University offers a host of different programmes with varying eligibility criteria, we recommend visiting the Programme page for all programme-specific details.

We organize regular workshops and conduct seminars on the latest topics like in the area of engineering design, smart manufacturing Systems and Robotics etc for value addition of the students. Regular programmes for overall personality & career skill development are organized with the help of expert trainers. Regular Industrial visits are also organized to give the students a feel of the work culture in the industry.

Research is the main focus of the Faculty of Engineering and Technology in general. The latest equipment and software are available in the Department of Mechanical Engineering and moreover, the students can access e-journals to explore the latest developments.

The core faculty in the department comprises distinguished academicians from the best institutions and leading professionals from the corporate world with rich industry experience. The faculty lays great emphasis on continuous evaluation by means of well-designed tutorials and practical experiments. Every effort is made to reinforce the concepts taught in the classroom. Apart from teaching, the faculty members have been vigorously pursuing research and have been regularly publishing research papers in various National and International Journals of repute as well as in prestigious conferences.

Testimonial

testimonials
quotation icon
“The curriculum focuses on real life problems posed by industry and business, and asks us to consider and adopt solutions and changing trends with the advent of latest technology. The skills developed from the curriculum has helped me stand unique amongst the freshers of the industry”
Sukumar P

Contact

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Address

Gnanagangothri campus for Admissions Contact:

New BEL Road, MSR Nagar, Bangalore – 560054
Phone: 080 4536 6666, +91 80100 04444
Email: admissions@msruas.ac.in

Technology Campus (Peenya Campus) for Admissions Contact

#470-P, Peenya Industrial Area, Peenya-IV Phase, Bangalore -560058 
Phone: 080 4906 5555, 80100 04444
E-mail: admissions@msruas.ac.in

StudyProgrammes Offered

Admission 2025

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Admission 2025

ADDRESS

University House, New BEL Road, MSR Nagar, Bengaluru - 560054

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