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M-TECH in Industrial Electronics at JSS Science and Technology University
Mysuru, Karnataka
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About the Specialization
What is Industrial Electronics at JSS Science and Technology University Mysuru?
This Industrial Electronics M.Tech program at Sri Jayachamarajendra College of Engineering (SJCE), Mysuru, focuses on advanced concepts in industrial automation, control systems, power electronics, and embedded systems. It addresses the growing need for specialized engineers in India''''s manufacturing, energy, and smart technology sectors, equipping students with skills to design, develop, and manage complex industrial electronic systems for efficient and sustainable operations. The program integrates theoretical knowledge with practical applications to meet current industry demands.
Who Should Apply?
This program is ideal for engineering graduates with a B.E./B.Tech degree in Electronics and Communication, Electrical and Electronics, Instrumentation, or related fields, aspiring to specialize in industrial automation and control. It also suits working professionals seeking to upskill in areas like robotics, embedded systems, and power electronics to enhance their career prospects in India''''s rapidly evolving industrial landscape. Candidates looking to pursue research in advanced industrial technologies will also find this program beneficial.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding careers as Automation Engineers, Robotics Engineers, Embedded System Developers, Power Electronics Specialists, or Control System Designers in various Indian industries. Entry-level salaries typically range from INR 4-7 lakhs per annum, with experienced professionals earning upwards of INR 10-15 lakhs, depending on expertise and company. The program provides a strong foundation for advanced certifications in PLC/SCADA, industrial IoT, and embedded Linux, paving the way for leadership roles in manufacturing and technology companies.
Student Success Practices
Foundation Stage
Master Core Concepts and Digital Design- (Semester 1-2)
Dedicate time to thoroughly understand fundamental subjects like Digital System Design and Advanced Control Systems. Actively participate in theory classes, solve numerical problems, and complete lab assignments for subjects such as HDL programming and advanced embedded systems. Utilize online platforms like NPTEL for supplementary learning and solve problems on platforms like HackerRank for logical reasoning.
Tools & Resources
NPTEL courses (e.g., ''''Digital Circuits'''', ''''Control Systems''''), Logic simulation software (e.g., Xilinx Vivado, Altera Quartus), ARM Microcontroller development kits, HackerRank for problem-solving
Career Connection
A strong foundation in these core areas is crucial for subsequent advanced topics and forms the bedrock for roles in embedded systems, digital design, and control engineering, highly valued in Indian industries.
Build Practical Skills through Lab Work- (Semester 1-2)
Engage proactively in Lab Practice-1 and Lab Practice-2. Focus on hands-on implementation using FPGAs, ARM microcontrollers, DSP processors, and power electronics trainers. Document your lab work meticulously and explore variations beyond standard experiments. Collaborate with peers on lab challenges to enhance problem-solving and teamwork.
Tools & Resources
FPGA/CPLD development boards, ARM Cortex-M series development kits (e.g., STM32, ESP32), MATLAB/Simulink for control system simulations, Multisim/PSPICE for power electronics simulations
Career Connection
Practical skills are paramount in industrial electronics. Proficiency in hardware implementation, debugging, and simulation tools directly translates to readiness for roles in R&D, manufacturing, and product development in Indian companies.
Participate in Technical Seminars and Workshops- (Semester 1-2)
Utilize the Technical Seminar courses to research emerging trends in industrial electronics, power electronics, or embedded systems. Attend department workshops on new technologies like IoT, AI in industrial applications, or advanced robotics. Present your findings effectively and engage in discussions to broaden your technical knowledge.
Tools & Resources
IEEE Xplore, Scopus for research papers, Google Scholar, Departmental workshop schedules, Presentation tools (PowerPoint, LaTeX Beamer)
Career Connection
Developing presentation and research skills early on helps in communicating complex technical ideas, crucial for project work, job interviews, and future roles as technical leads or consultants in India.
Intermediate Stage
Specialize through Electives and Advanced Courses- (Semester 2-3)
Carefully select program electives (e.g., IoT, AI/ML, VLSI, Industrial Data Communication) based on your career interests and market demand. Dive deep into the chosen specialization by undertaking mini-projects, reading advanced research papers, and exploring certifications relevant to that field. For instance, pursue industrial automation certifications if interested in PLCs.
Tools & Resources
Coursera/edX for specialized courses (e.g., IoT specialization, Deep Learning), Vendor-specific certifications (e.g., Siemens TIA Portal, Rockwell Automation), Research journals in chosen elective area
Career Connection
Specialization makes you a more desirable candidate for specific roles in the Indian job market. Expertise in niche areas like industrial IoT or AI for control systems can open doors to high-demand positions.
Seek Industry Exposure via Internships- (Semester 3)
Actively pursue internships (Internship - 10 credits in Semester 3) in relevant industries such as automotive, manufacturing, energy, or automation firms. Treat the internship as a learning opportunity, not just a formality. Take initiative, seek mentorship, and contribute meaningfully to projects. Network with professionals during this period.
Tools & Resources
College placement cell, LinkedIn for professional networking, Internshala, Naukri for internship searches, Mentors within the industry
Career Connection
Internships are critical for gaining real-world experience, understanding industry challenges, and often lead to pre-placement offers, significantly boosting your placement chances in top Indian companies.
Initiate and Develop Project Work Phase 1- (Semester 3)
Begin your M.Tech project (Project Work Phase 1 in Semester 3) by identifying a relevant problem, conducting an extensive literature review, and formulating a robust methodology. Choose a topic aligned with your specialization and potential career path. Work closely with your guide to ensure a strong foundation for Phase 2, focusing on design and preliminary implementation.
Tools & Resources
Research databases (IEEE, ACM, Scopus), Project management tools (Trello, Asana for team projects), Simulation software (MATLAB, LabVIEW), Hardware components for prototyping
Career Connection
A well-executed project demonstrates your ability to apply theoretical knowledge to solve practical problems, a key requirement for R&D roles, product development, and even entrepreneurship in India.
Advanced Stage
Excel in Final Project Work and Thesis- (Semester 4)
Dedicate significant effort to Project Work Phase 2 in Semester 4. Ensure thorough implementation, rigorous testing, and comprehensive data analysis. Focus on presenting novel contributions or innovative solutions. Document your work meticulously, adhering to academic standards for your thesis, and prepare thoroughly for the final defense.
Tools & Resources
Advanced simulation tools, Hardware prototyping tools and components, Statistical analysis software (e.g., R, Python with libraries), LaTeX for thesis writing
Career Connection
An outstanding M.Tech project is your strongest credential for job placements, demonstrating advanced technical skills, problem-solving capabilities, and independent research aptitude, making you highly valuable to employers.
Prepare Rigorously for Placements and Interviews- (Semester 3-4)
Start placement preparation early. Update your resume to highlight your project work, internship experience, and specialized skills. Practice technical interview questions related to core subjects (control systems, embedded, power electronics, DSP) and your electives. Work on soft skills like communication and aptitude. Attend mock interviews conducted by the college placement cell.
Tools & Resources
Placement cell resources (mock interviews, resume reviews), Online platforms for interview preparation (GeeksforGeeks, InterviewBit), Company-specific previous year question papers
Career Connection
Effective placement preparation is crucial for securing positions in desired companies. A well-prepared candidate can articulate their technical prowess and fit for industrial electronics roles, leading to better offers.
Network and Engage with Industry Professionals- (Semester 3-4)
Leverage your internship and project work to build a professional network. Attend webinars, conferences, and industry events (even virtual ones) to meet professionals in your field. Maintain relationships with mentors and alumni. A strong network can provide insights, job leads, and career guidance, especially valuable in the competitive Indian market.
Tools & Resources
LinkedIn for professional networking, Industry-specific forums and associations (e.g., ISA, IETE), Alumni network events
Career Connection
Networking opens doors to hidden job opportunities, mentorship, and keeps you updated on industry trends, which is vital for long-term career growth and leadership opportunities in Industrial Electronics.
Program Structure and Curriculum
Eligibility:
- A candidate who has acquired B.E. / B.Tech. in the relevant branch of Engineering from any recognized University or AMIE or equivalent and obtained not less than 50% of marks in aggregate (45% in case of candidate belonging to SC/ST and Category-I) of Karnataka Candidates, shall be eligible for admission to M.Tech. programs.
Duration: 4 semesters / 2 years
Credits: 68 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IE11 | Digital System Design Using HDL | Program Core | 3 | Review of Logic Gates and Boolean Algebra, Introduction to HDLs (VHDL/Verilog), Combinational Logic Design using HDL, Sequential Logic Design using HDL, Finite State Machine Design, Design of Arithmetic Circuits |
| 22IE12 | Advanced Control Systems | Program Core | 3 | State Variable Analysis, Control System Design using State Space, Non-Linear Control Systems, Adaptive Control Principles, Optimal Control Theory, Digital Control Systems |
| 22IE13 | Advanced Embedded System Design | Program Core | 3 | Embedded System Architecture and Concepts, ARM Processor Architecture and Programming, Real-Time Operating Systems (RTOS), Device Drivers and Interrupts, Embedded Networking and Communication Protocols, Embedded System Design Methodologies |
| 22IE14 | Research Methodology and IPR | Research Methodology | 2 | Research Problem Formulation, Research Design and Methods, Data Collection and Analysis Techniques, Technical Report Writing, Intellectual Property Rights (IPR), Patents, Copyrights, Trademarks |
| 22IE15 | Lab Practice-1 | Program Core Lab | 2 | HDL Programming for Digital Systems, FPGA/CPLD Implementation, ARM Cortex Microcontroller Programming, Embedded C for Real-Time Applications, RTOS Task Management and Scheduling |
| 22IE16 | Technical Seminar-I | Program Core | 1 | Literature Survey and Topic Selection, Technical Report Writing, Presentation Skills Development, Communication of Technical Ideas |
| 22IE17 | Audit Course – 1 | Audit Course | 0 | Constitution of India, Professional Ethics and Human Values, Disaster Management, Pedagogy Studies |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IE21 | Advanced Digital Signal Processing | Program Core | 3 | Discrete Fourier Transforms (DFT), Fast Fourier Transforms (FFT) Algorithms, FIR Filter Design, IIR Filter Design, Multirate Digital Signal Processing, Adaptive Filters |
| 22IE22 | Modern Power Electronics | Program Core | 3 | Power Semiconductor Devices, Controlled Rectifiers and AC-DC Converters, DC-DC Converters (Choppers), Inverters and DC-AC Converters, AC Voltage Controllers, Harmonics and Power Quality |
| 22IE23 | Industrial Automation and Robotics | Program Core | 3 | Industrial Process Control Systems, Programmable Logic Controllers (PLCs), Distributed Control Systems (DCS) and SCADA, Robot Kinematics and Dynamics, Robot Control and Programming, Industrial Robot Applications |
| 22IELxx | Program Elective – 1 (Choice) | Program Elective | 3 | Students choose one from the following four elective options offered in Semester 2. |
| 22IEL241 | Wireless Sensor Networks | Program Elective (Option) | 3 | Wireless Sensor Network Architectures, MAC Protocols for WSN, Routing Protocols in WSN, Localization and Time Synchronization, Security in Wireless Sensor Networks, Applications of WSN |
| 22IEL242 | Artificial Neural Networks and Fuzzy Logic | Program Elective (Option) | 3 | Neural Network Models, Backpropagation Networks, Associative Memory Networks, Fuzzy Set Theory, Fuzzy Logic Control, Neuro-Fuzzy Systems |
| 22IEL243 | Internet of Things | Program Elective (Option) | 3 | IoT Architecture and Paradigms, IoT Protocols and Standards, Sensors, Actuators, and Microcontrollers for IoT, Cloud Computing for IoT, Big Data Analytics in IoT, IoT Security and Privacy |
| 22IEL244 | Computer Vision | Program Elective (Option) | 3 | Image Formation and Perception, Image Pre-processing and Feature Extraction, Object Detection and Recognition, Motion Analysis and Tracking, 3D Vision and Stereo, Deep Learning for Computer Vision |
| 22IELyy | Program Elective – 2 (Choice) | Program Elective | 3 | Students choose one from the following four elective options offered in Semester 2. |
| 22IEL251 | Industrial Data Communications | Program Elective (Option) | 3 | Data Communication Principles, Network Topologies and Protocols, Industrial Ethernet, Fieldbus Systems (Modbus, Profibus), Wireless Industrial Communication, Cyber-Physical Systems Communication |
| 22IEL252 | Optimization Techniques | Program Elective (Option) | 3 | Linear Programming and Simplex Method, Non-Linear Programming, Dynamic Programming, Heuristic Optimization Techniques, Genetic Algorithms, Simulated Annealing |
| 22IEL253 | VLSI Design | Program Elective (Option) | 3 | CMOS Technology and Fabrication, MOS Transistor Theory, CMOS Logic Design (Combinational & Sequential), Memory Architectures and Design, VLSI Design Methodologies, FPGA Architectures and Applications |
| 22IEL254 | Image Processing and Pattern Recognition | Program Elective (Option) | 3 | Image Transforms (Fourier, Wavelet), Image Enhancement and Restoration, Image Segmentation Techniques, Feature Extraction for Pattern Recognition, Statistical Pattern Classification, Neural Networks for Pattern Recognition |
| 22IE26 | Lab Practice-2 | Program Core Lab | 2 | DSP Processor Programming, Simulation of Power Electronic Converters, PLC and SCADA Programming, Robot Kinematics and Trajectory Control, IoT Platform Integration and Data Acquisition |
| 22IE27 | Technical Seminar-II | Program Core | 1 | Advanced Literature Review, Research Problem Definition, Methodology and Experimental Design, Scientific Writing and Presentation |
| 22IE28 | Audit Course – 2 | Audit Course | 0 | Environmental Studies, Entrepreneurship and Innovation, Cyber Security, Value Education |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IEI31 | Internship | Internship | 10 | Industry Exposure and Practical Training, Problem Solving in Industrial Environment, Project Implementation and Testing, Internship Report Writing, Professional Skill Development |
| 22IEP32 | Project Work Phase – 1 | Project Work | 6 | Project Identification and Literature Survey, Problem Definition and Objective Formulation, Methodology and Design Specification, Preliminary Implementation/Simulation, Project Planning and Management |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IEP41 | Project Work Phase – 2 | Project Work | 20 | Advanced Implementation and Experimentation, Data Analysis and Interpretation, Result Validation and Performance Evaluation, Thesis Writing and Documentation, Project Defense and Presentation |
