- Faculty
Faculty of Engineering and Technology
- Department
Aerospace and Automotive Engineering
- Campus
Technology Campus (Peenya Campus)
- Engagement Mode
Full Time
Overview
According to a report by MarketsandMarkets, the global automotive engineering services market is projected to experience substantial growth, increasing from $153.2 billion in 2022 to $243.9 billion by 2028, at a Compound Annual Growth Rate (CAGR) of 8.1%. Furthermore, the demand for automotive engineers is expected to rise, with an anticipated 34,750 new job openings to be filled by 2029. This represents an annual job growth rate of 1.31% over the next few years.
This promising outlook underscores the increasing need for highly competent professionals in the automotive sector, especially those with a B Tech Automotive Engineering degree. B Tech Automotive Engineering subjects equip students with the knowledge and skills required to thrive in the ever-evolving automotive industry. If you're looking to pursue B Tech Automotive Engineering in Bangalore, M. S. Ramaiah University of Applied Sciences (RUAS) is your go-to institution. Enroll at one of the top automotive engineering universities and embark on your journey to become a future-ready automotive engineer.
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.
Program Educational Objectives
- To Provide students with knowledge in mathematics, Science and Core engineering area to enable them to deliver efficient solutions for complex engineering problems using analytical and cognitive skills.
- To enable students to design and develop the sustainable innovative solution for industry and societal requirements by conducting engineering investigations through experimentation and usage of modern tools.
- To inculcate ethics, communication, leadership, soft, managerial and entrepreneurial skills for successful career in industries and to engage in lifelong learning.
Curriculum Details
| Sl. No. | Code | Course Title | Theory (h/W/S) | Tutorials (h/W/S) | Practical (h/W/S) | Total Credits | Max. Marks |
|---|---|---|---|---|---|---|---|
| 1 | MTB101A | Engineering Mathematics-1 | 3 | 1 | 0 | 4 | 100 |
| 2 | PYB102A | Engineering Physics and Laboratory | 3 | 0 | 2 | 4 | 100 |
| 3 | CEF101A | Engineering Mechanics | 3 | 0 | 0 | 3 | 100 |
| 4 | ECF102A | Elements of Electronics Engineering and Laboratory | 3 | 0 | 2 | 4 | 100 |
| 5 | MEF103A | Engineering Drawing | 2 | 0 | 2 | 3 | 100 |
| 6 | LAN101A | Constitution, Human Rights and Law | 2 | 0 | 0 | 2 | 50 |
| Total | 16 | 1 | 6 | 20 | 550 | ||
| Total number of contact hours per week | 23 | ||||||
| Sl. No. | Code | Course Title | Theory (h/W/S) | Tutorials (h/W/S) | Practical (h/W/S) | Total Credits | Max. Marks |
| 1 | MTB101A | Engineering Mathematics - 1 | 3 | 1 | 0 | 4 | 100 |
| 2 | CYB104A | Engineering Chemistry and Laboratory | 3 | 0 | 2 | 4 | 100 |
| 3 | MEF104A | Elements of Mechanical Engineering and Work shop Practice | 2 | 0 | 2 | 3 | 100 |
| 4 | EEF105A | Elements of Electrical Engineering and Laboratory | 3 | 0 | 2 | 4 | 100 |
| 5 | CSF106A | Elements of Computer Science and Engineering and Laboratory | 3 | 0 | 2 | 4 | 100 |
| 6 | TSN101A | Professional Communication | 2 | 0 | 0 | 2 | 50 |
| Total | 16 | 1 | 8 | 21 | 550 | ||
| 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 | MTB102A | Engineering Mathematics-2 | 3 | 1 | 0 | 4 | 100 |
| 2 | PYB102A | Engineering Physics and Laboratory | 3 | 0 | 2 | 4 | 100 |
| 3 | CEF101A | Engineering Mechanics | 3 | 0 | 0 | 3 | 100 |
| 4 | ECF102A | Elements of Electronics Engineering and Laboratory | 3 | 0 | 2 | 4 | 100 |
| 5 | MEF103A | Engineering Drawing | 2 | 0 | 2 | 3 | 100 |
| 6 | LAN101A | Constitution, Human Rights and Law | 2 | 0 | 0 | 2 | 50 |
| Total | 16 | 1 | 6 | 20 | 550 | ||
| Total number of contact hours per week | 23 | ||||||
| Sl. No. | Code | Course Title | Theory (h/W/S) | Tutorials (h/W/S) | Practical (h/W/S) | Total Credits | Max. Marks |
|---|---|---|---|---|---|---|---|
| 1 | MTB102A | Engineering Mathematics - 2 | 3 | 1 | 0 | 4 | 100 |
| 2 | CYB104A | Engineering Chemistry and Laboratory | 3 | 0 | 2 | 4 | 100 |
| 3 | MEF104A | Elements of Mechanical Engineering and Work shop Practice | 2 | 0 | 2 | 3 | 100 |
| 4 | EEF105A | Elements of Electrical Engineering and Laboratory | 3 | 0 | 2 | 4 | 100 |
| 5 | CSF106A | Elements of Computer Science and Engineering and Laboratory | 3 | 0 | 2 | 4 | 100 |
| 6 | TSN101A | Professional Communication | 2 | 0 | 0 | 2 | 50 |
| Total | 16 | 1 | 8 | 21 | 550 | ||
| 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 | MTF201A | Engineering Mathematics - 3 | 3 | 1 | 0 | 4 | 100 |
| 2 | ASD202A | Materials Science for Engineers | 3 | 0 | 0 | 3 | 100 |
| 3 | AUC203A | Elements of Automotive Systems and Autonomous Vehicle | 3 | 0 | 0 | 3 | 100 |
| 4 | ASD204A | Thermodynamics for Engineers | 3 | 1 | 0 | 4 | 100 |
| 5 | ASD205A | Fluid Mechanics and Machines | 3 | 1 | 0 | 4 | 100 |
| 6 | AUL206A | Automotive Systems Laboratory | 0 | 0 | 2 | 1 | 50 |
| 7 | AUL207A | Fluid Mechanics and Machines Laboratory | 0 | 0 | 2 | 1 | 50 |
| 8 | BTN101A | Environmental Studies | 2 | 0 | 0 | 2 | 50 |
| Total | 17 | 3 | 4 | 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 | MTF202A | Engineering Mathematics - 4 | 3 | 1 | 0 | 4 | 100 |
| 2 | ASD212A | Strength of Materials | 3 | 1 | 0 | 4 | 100 |
| 3 | AUC213A | Manufacturing Processes for Automotive Systems | 4 | 0 | 0 | 4 | 100 |
| 4 | ASD214A | 3D Modeling and Machine Drawing | 1 | 0 | 4 | 3 | 100 |
| 5 | AUC215A | Automotive Electrical and Electronic Systems | 3 | 0 | 0 | 3 | 100 |
| 6 | AUL216A | Materials and Testing Laboratory | 0 | 0 | 2 | 1 | 50 |
| 7 | AUL217A | Manufacturing Processes Laboratory | 0 | 0 | 2 | 1 | 50 |
| 8 | BAU201A | Innovation and Entrepreneurship | 3 | 0 | 0 | 3 | 100 |
| Total | 17 | 2 | 8 | 23 | 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 | AUC301A | Propulsion Systems for Electric and Hybrid Vehicle | 4 | 0 | 0 | 4 | 100 |
| 2 | ASD302A | Theory of Machines and Mechanisms | 3 | 1 | 0 | 4 | 100 |
| 3 | AUC303A | Design of Automotive Components | 3 | 1 | 0 | 4 | 100 |
| 4 | AUC304A | Automotive Noise, Vibration and harshness | 3 | 0 | 0 | 3 | 100 |
| 5 | ASD305A | Artificial Intelligence and Machine Learning | 3 | 1 | 0 | 4 | 100 |
| 6 | ASD306A | Control System Engineering and Laboratory | 3 | 0 | 2 | 4 | 100 |
| 7 | AUL307A | Automotive Powertrain Laboratory | 0 | 0 | 2 | 1 | 50 |
| 8 | AUL308A | Kinematics and Dynamics Simulation Laboratory | 0 | 0 | 2 | 1 | 50 |
| Total | 19 | 3 | 6 | 25 | 600 | ||
| Total number of contact hours per week | 28 | ||||||
| Sl. No. | Code | Course Title | Theory (h/W/S) | Tutorials (h/W/S) | Practical (h/W/S) | Total Credits | Max. Marks |
|---|---|---|---|---|---|---|---|
| 1 | AUC311A | Vehicle Body Engineering and Crashworthiness | 4 | 0 | 0 | 4 | 100 |
| 2 | ASD312A | Finite Element Analysis | 3 | 1 | 0 | 4 | 100 |
| 3 | AUC313A | Vehicle Dynamics and Handling | 3 | 1 | 0 | 4 | 100 |
| 4 | AUC314A | Computational Intelligence in Automotive Applications | 4 | 0 | 0 | 4 | 100 |
| 5 | ASD315A | Engineering Economics | 3 | 0 | 0 | 3 | 100 |
| 6 | AUL316A | Vehicle Simulations Laboratory | 0 | 0 | 2 | 1 | 50 |
| 7 | AUL317A | CAE Laboratory | 0 | 0 | 2 | 1 | 50 |
| 8 | AUS311A | Seminar | 0 | 0 | 2 | 1 | 50 |
| 9 | AUE31XA | Professional Core Elective - 1 | 4 | 0 | 0 | 4 | 100 |
| Total | 21 | 2 | 6 | 26 | 750 | ||
| Total number of contact hours per week | 29 | ||||||
| Sl. No. | Code | Course Title | Theory (h/W/S) | Tutorials (h/W/S) | Practical (h/W/S) | Total Credits | Max. Marks |
|---|---|---|---|---|---|---|---|
| 1 | AUE41XA | Professional Core Elective - 2 | 4 | 0 | 0 | 4 | 100 |
| 2 | AUE42XA | Professional Core Elective - 3 | 4 | 0 | 0 | 4 | 100 |
| 3 | OEE41XA | Open Elective - 1 | 3 | 0 | 0 | 3 | 100 |
| 4 | AUP401A AUI401A | I] Project Work - 1 II]Internship (Choose one) | 0 | 0 | 12 | 6 | 200 |
| Total | 11 | 0 | 12 | 17 | 500 | ||
| Total Number of Contact Hours per week | 23 | ||||||
| Sl. No. | Code | Course Title | Theory (h/W/S) | Tutorials (h/W/S) | Practical (h/W/S) | Total Credits | Max. Marks |
|---|---|---|---|---|---|---|---|
| 1 | AUP402A | Project Work - 2 | 0 | 0 | 24 | 12 | 300 |
| Total | 0 | 0 | 24 | 12 | 300 | ||
| Total Number of Contact Hours per week | 24 | ||||||
| Stream Group | AI and ML for Autonomous Vehicles | Control Systems | Automotive Systems | Data Sciences and Analytics | Applied Mathematics | |
|---|---|---|---|---|---|---|
| PCE-1 Sem. 6 | Course Code | AUE311A | AUE312A | ASE313A/MEE314A | MTE301A | MTE302A |
| Course Title | Autonomous Vehicles and Future Mobility | Automotive Control Systems | Light Weight and Novel Materials/ Additive Manufacturing | Probability and Statistics | Advanced Mathematics | |
| PCE-2 Sem. 7 | Course Code | AUE411A | AUE412A | AUE413A | CSE411A | MTE401A |
| Course Title | Sensing and Control for Autonomous Vehicles | Robust Control Systems | Vehicle Aerodynamics and Styling | Data Sciences and Foundation | Optimization Techniques -1 | |
| PCE-3 Sem.7 | Course Code | AUE421A | AUE422A | AUE423A | CSE431A | MTE403A/ MTE402A |
| Course Title | Battery Management Algorithm for Electric Vehicle | Modelling, Dynamics and Control of Electrified Vehicles | Fatigue and Fracture Mechanics | Data Analytics | Advanced Numerical Methods/ Optimization Techniques -2 | |
Note:
1. Students are required to select One Professional Core Elective Course in the 6th Semester, from PCE-1 Group.
2. Students are required to select Two Professional Core Elective Courses in the 7th Semester from the PCE-2 & PCE-3 Groups.
Teaching and Assessment:
During each semester, students’ performance is assessed through Continuous Evaluation (CE) which includes teacher interaction, session examination and a Semester End Examination (SEE). CE and SEE weightages carry equal weightage.
Students are awarded grades based on the marks scored.
Key Skills Development:
- Ability to impart knowledge on automotive systems and their sub-systems.
- Ability to facilitate an understanding of underlying engineering principles of automotive systems to explain their construction and working.
- Ability to model, simulate, and analyse the behaviour of automotive systems to predict and improve their performance.
- Ability to design and develop prototypes of automotive systems.
- Ability to make instruments and test automotive systems for validation.
- Ability to use commercial software tools to design, model, simulate automotive vehicle systems.
- Ability to understand professional ethics, economics, social sciences and interpersonal skills relevant to a professional practice.
- Ability to cultivate a self-improvement and lifelong learning approach for a career in industry, business, and commerce.
- Ability to apply ethical principles to engineering practices and professional responsibilities.
- Ability to work in a team, and to plan and to integrate knowledge of various engineering disciplines and to lead teams in multidisciplinary settings.
- Ability to make effective oral presentations and communicate technical ideas to broad audiences using written and oral means.
- Ability to lead and manage multidisciplinary teams by applying engineering and management principles.
- Ability to adapt to changes and advancements in technology.
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 |
|---|
| Rs. 260,000 |
Career Path
- Automobile Engineer
- Mechanical Design Engineer
- Vehicle Dynamics Engineer
- Powertrain Engineer
- Automotive Researcher
- Automotive Service Advisor
FAQs
B.Tech in Automotive Engineering is a programme focused on automotive systems and sub-systems. It develops skills in designing, analysing, simulating and testing automotive components, emphasising innovation and adaptability in line with evolving automotive technologies like electric and hybrid vehicles.
Subjects include Engineering Mathematics, Physics, Mechanics, Electronics, Computer Science, Thermodynamics, Fluid Mechanics, Strength of Materials and Vehicle Dynamics. The curriculum also covers AI, Machine Learning, Simulation, Electrical Systems and specialised electives related to modern automotive technologies.
The field offers strong career prospects due to the growing global demand. The curriculum builds expertise in core engineering, sustainability, AI applications and control systems—preparing students for innovation, research and leadership roles in both industry and academia.
Yes, it's a promising career with high job growth and industry demand. The programme equips students with analytical, leadership and technical skills needed in automotive innovation, making it a viable and forward-looking professional path.
Yes, RUAS highlights top placement records, with the highest domestic salary reaching Rs. 45 LPA. Graduates with strong skills in design, simulation and modern vehicle systems can expect competitive compensation in the global automotive sector.
Graduates can work as Automobile Engineers, Mechanical Design Engineers, Powertrain Engineers, Vehicle Dynamics Engineers, Automotive Researchers and Service Advisors. The curriculum also supports roles in AI for vehicles, electric mobility and advanced manufacturing.
Testimonial
“I have always been curious to explore the workings of vehicles and in replicating the same. During my studies,”
Contact
Start your journey with MSRUAS
Department of Aerospace and Automotive Engineering.
Contact
Phone +91 80-4906 5555
Email hod.aae.et@msruas.ac.in
ADDRESS
