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M-TECH in Automotive Electronics at JSS Science and Technology University
Mysuru, Karnataka
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About the Specialization
What is Automotive Electronics at JSS Science and Technology University Mysuru?
This Automotive Electronics program at Sri Jayachamarajendra College of Engineering focuses on integrating advanced electronics and software into modern vehicles. It addresses the growing demand for skilled professionals in India''''s automotive sector, driven by electrification, connectivity, and autonomous driving trends. The program emphasizes a blend of theoretical knowledge and practical application, preparing students for cutting-edge roles in vehicle technology.
Who Should Apply?
This program is ideal for engineering graduates with a B.E./B.Tech in disciplines such as Electrical, Electronics, Mechanical, or Computer Science, who are passionate about automotive technology. It also caters to working professionals seeking to upskill in vehicle embedded systems, ADAS, or EV technology, and career changers aiming to transition into the rapidly evolving Indian automotive industry. GATE/PGCET qualification is typically required.
Why Choose This Course?
Graduates of this program can expect diverse career paths in the Indian automotive industry, including roles in R&D, design, testing, and manufacturing. Potential job titles include Automotive Embedded Engineer, ADAS Engineer, EV System Designer, or Vehicle Network Specialist. Entry-level salaries in India typically range from INR 4-8 LPA, with significant growth trajectories in leading OEMs and Tier-1 suppliers as experience accrues.
Student Success Practices
Foundation Stage
Master Core Automotive Electronics Fundamentals- (Semester 1-2)
Focus on building a strong foundation in automotive sensors, actuators, embedded systems, and control theory. Utilize laboratory sessions extensively to gain hands-on experience with hardware and software tools. Participate in departmental workshops on automotive diagnostics and basic ECU programming.
Tools & Resources
MATLAB/Simulink, Arduino/Raspberry Pi for embedded projects, official course textbooks, NPTEL courses on control systems and embedded design
Career Connection
Strong fundamentals are essential for cracking technical interviews for core automotive embedded and control system roles.
Develop Practical Coding and Simulation Skills- (Semester 1-2)
Dedicate time to practice programming in C/C++ for embedded systems and use simulation tools like MATLAB/Simulink for control system design. Work on mini-projects involving sensor data acquisition and basic motor control. Engage in peer-to-peer learning and problem-solving sessions.
Tools & Resources
Keil MDK, Proteus, dSPACE (if available in labs), GitHub for version control, online coding platforms
Career Connection
Proficiency in embedded programming and simulation is a prerequisite for roles in automotive software development and validation.
Build a Strong Academic Network- (Semester 1-2)
Actively participate in class discussions, collaborate on assignments, and form study groups with peers. Seek mentorship from faculty members for academic guidance and research project ideas. Attend departmental seminars and guest lectures by industry experts.
Tools & Resources
LinkedIn for professional networking, college alumni network platforms, faculty office hours
Career Connection
A strong network provides academic support, opens doors to collaboration, and can lead to research or internship opportunities.
Intermediate Stage
Maximize Industry Internship Learning- (Semester 3)
Approach the industry internship as a real-world project opportunity. Actively seek challenging tasks, ask questions, and learn from experienced professionals. Focus on delivering tangible outcomes and maintaining detailed documentation of your work.
Tools & Resources
Company-specific software/hardware, project management tools, professional networking within the company
Career Connection
A successful internship can often lead to a pre-placement offer (PPO) and provides invaluable industry experience, significantly boosting employability.
Initiate and Structure M.Tech Project Work (Phase I)- (Semester 3)
Carefully choose a research topic aligned with current industry trends or faculty expertise. Conduct a thorough literature review, define clear objectives, and develop a robust methodology. Begin initial implementation or simulation work.
Tools & Resources
Research papers (IEEE Xplore, Scopus), academic databases, LaTeX for report writing, specific simulation/CAD software
Career Connection
A well-defined and innovative project demonstrates research capabilities and problem-solving skills, critical for R&D roles and further academic pursuits.
Enhance Technical Communication & IPR Knowledge- (Semester 3)
Focus on developing strong technical report writing and presentation skills through the Research Methodology course and project work. Understand the basics of Intellectual Property Rights (IPR) and patent filing relevant to automotive innovations.
Tools & Resources
Grammarly, presentation software, university IPR cell resources, workshops on technical writing
Career Connection
Effective communication is vital for conveying complex technical ideas to colleagues and stakeholders, and IPR knowledge is crucial for innovation-driven companies.
Advanced Stage
Drive M.Tech Project to Industry-Ready Completion (Phase II)- (Semester 4)
Dedicate significant effort to the advanced implementation, rigorous testing, and detailed analysis of your M.Tech project. Aim for a publishable quality thesis and prepare thoroughly for the project defense. Seek feedback regularly from your guide.
Tools & Resources
Advanced simulation/testing equipment, statistical analysis software, professional academic editing services (if needed), plagiarism checkers
Career Connection
A high-quality, impactful project can be a major talking point in interviews, demonstrating deep expertise and the ability to complete complex tasks independently.
Targeted Placement Preparation- (Semester 4)
Actively participate in campus placement drives. Prepare a tailored resume highlighting project work, skills, and internship experience. Practice technical interview questions, aptitude tests, and group discussions specific to automotive electronics roles.
Tools & Resources
Placement cell resources, online aptitude test platforms, mock interview sessions, company-specific preparation guides
Career Connection
Effective preparation increases the likelihood of securing desirable placements with leading automotive companies and startups.
Continuous Skill Upgradation and Specialization- (Throughout Semesters 3 & 4 and beyond)
Beyond the curriculum, identify niche areas within automotive electronics (e.g., cybersecurity for vehicles, functional safety ISO 26262, specific ADAS algorithms) and pursue online certifications or advanced workshops. Stay updated with industry whitepapers and technological advancements.
Tools & Resources
Coursera, edX, Udemy courses, industry webinars, SAE International resources, technical blogs
Career Connection
Specializing in high-demand areas makes you a more valuable asset to employers and opens doors to advanced research or leadership roles in the long term.
Program Structure and Curriculum
Eligibility:
- B.E./B.Tech. in Electrical/Electronics/Instrumentation & Control/Telecommunication/Computer Science/Information Science/Automobile/Mechanical/Industrial Production/Mechatronics/Electrical & Electronics/Electronics & Communication Engineering/equivalent. Must have qualified in GATE or PGCET examination conducted by Karnataka Examination Authority, Bangalore. Non-GATE candidates are eligible for admission to the remaining seats based on their performance in an entrance examination conducted by the University.
Duration: 4 semesters / 2 years
Credits: 84 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22AE11 | AUTOMOTIVE SENSORS & ACTUATORS | Core | 4 | Sensor principles, Actuator types, Automotive applications, ECU interfacing, Transducers, Vehicle control |
| 22AE12 | EMBEDDED SYSTEM DESIGN | Core | 4 | Embedded processors, ARM architecture, OS concepts, RTOS, Device drivers, Interrupt handling |
| 22AE13 | AUTOMOTIVE CONTROL SYSTEMS | Core | 4 | Control theory, Vehicle dynamics, Engine control, Chassis control, Cruise control, PID controllers |
| 22AE14 | ADVANCED SIGNAL PROCESSING | Core | 4 | Digital filters, Adaptive filters, Spectral analysis, Kalman filters, Wavelet transforms, Signal processing algorithms |
| 22AE1E1 | MACHINE LEARNING | Elective | 4 | Supervised learning, Unsupervised learning, Neural networks, Deep learning, Regression, Classification |
| 22AE1E2 | ANALOG & MIXED SIGNAL IC DESIGN | Elective | 4 | CMOS amplifiers, Data converters, PLLs, Filters, Layout considerations, Noise analysis |
| 22AE1E3 | ADVANCED OPTIMIZATION TECHNIQUES | Elective | 4 | Linear programming, Non-linear programming, Genetic algorithms, Simulated annealing, Convex optimization |
| 22AE1L1 | AUTOMOTIVE SENSORS & ACTUATORS LAB | Lab | 2 | Sensor calibration, Actuator control, Data acquisition, ECU communication, MATLAB/Simulink |
| 22AE1L2 | EMBEDDED SYSTEM DESIGN LAB | Lab | 2 | ARM programming, RTOS implementation, Peripheral interfacing, Debugging, Embedded C |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22AE21 | AUTOMOTIVE NETWORKING & COMMUNICATION | Core | 4 | CAN, LIN, FlexRay, Automotive Ethernet, UDS, Diagnostics, Vehicle bus protocols |
| 22AE22 | VEHICLE DYNAMICS & CONTROL | Core | 4 | Tire mechanics, Chassis systems, Suspension, Braking systems, Steering dynamics, Vehicle stability |
| 22AE23 | ADVANCED DRIVER ASSISTANCE SYSTEMS (ADAS) | Core | 4 | ADAS sensors, Lidar, Radar, Camera, Lane keeping, Adaptive cruise control, Autonomous driving levels |
| 22AE24 | ELECTRIC AND HYBRID VEHICLES | Core | 4 | EV architectures, Battery technology, Motor drives, Hybrid powertrains, Charging infrastructure, Energy management |
| 22AE2E1 | ARTIFICIAL INTELLIGENCE & EXPERT SYSTEMS | Elective | 4 | AI agents, Search algorithms, Knowledge representation, Fuzzy logic, Expert systems, Machine learning applications |
| 22AE2E2 | FPGA AND ASIC DESIGN | Elective | 4 | VHDL/Verilog, FPGA architecture, ASIC design flow, Synthesis, Place & Route, Design verification |
| 22AE2E3 | IMAGE PROCESSING & COMPUTER VISION | Elective | 4 | Image enhancement, Segmentation, Feature extraction, Object detection, Pattern recognition, OpenCV |
| 22AE2L1 | AUTOMOTIVE NETWORKING & COMMUNICATION LAB | Lab | 2 | CAN/LIN communication, Diagnostic protocols, ECU flashing, Vector tools, Automotive software |
| 22AE2L2 | VEHICLE DYNAMICS & CONTROL LAB | Lab | 2 | Vehicle simulation, MATLAB/Simulink models, Suspension tuning, Braking tests, Steering response |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22AE31 | RESEARCH METHODOLOGY AND IPR | Core | 4 | Research design, Data collection, Statistical analysis, Technical writing, Patent filing, Intellectual property rights |
| 22AE3C1 | INDUSTRY INTERNSHIP | Project/Internship | 4 | Industry exposure, Practical skills, Project implementation, Report writing, Presentation |
| 22AE3P1 | M.TECH PROJECT WORK – PHASE I | Project | 8 | Problem identification, Literature survey, Methodology design, Initial implementation, Project planning |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22AE4P1 | M.TECH PROJECT WORK – PHASE II | Project | 20 | Advanced implementation, Testing, Data analysis, Thesis writing, Project defense, Research contribution |
