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M-TECH in Electrical Engineering at Netaji Subhas University
East Singhbhum, Jharkhand
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About the Specialization
What is Electrical Engineering at Netaji Subhas University East Singhbhum?
This Electrical Engineering program at Netaji Subhas University focuses on advanced concepts in power systems, power electronics, electric drives, and control systems. It emphasizes the rapidly evolving Indian energy sector, smart grid initiatives, and electric vehicle technology, preparing students for critical roles in modern infrastructure development and industrial automation within the country. The curriculum is designed to meet contemporary industry demands.
Who Should Apply?
This program is ideal for Bachelor of Engineering/Technology graduates in Electrical Engineering or related disciplines seeking to deepen their technical expertise. It also caters to working professionals aiming to upgrade their skills in areas like renewable energy integration, smart grids, and industrial control, addressing the growing demand for specialized electrical engineers in India. Candidates should have a strong foundation in electrical engineering principles.
Why Choose This Course?
Graduates of this program can expect diverse career paths in power generation, transmission, distribution, manufacturing, and R&D within India. Roles may include Power System Engineer, Design Engineer, R&D Specialist, or Automation Engineer, with entry-level salaries typically ranging from INR 4-7 LPA, progressing significantly with experience in PSUs, private energy firms, and MNCs operating in India, fostering growth trajectories.
Student Success Practices
Foundation Stage
Solidify Core Engineering Fundamentals- (Semester 1-2)
Actively engage with advanced mathematics, optimization techniques, and core Electrical Engineering subjects like Power Systems and Power Electronics. Form study groups, utilize online platforms like NPTEL for supplementary learning, and solve complex problems regularly to build a strong theoretical base and analytical skills.
Tools & Resources
NPTEL courses, Standard textbooks (e.g., Kothari & Nagrath for Power Systems), MATLAB, GeeksforGeeks
Career Connection
A robust understanding of fundamentals is critical for entry-level roles in PSUs and private power companies, forming the bedrock for tackling complex engineering challenges and performing well in technical interviews.
Develop Practical Simulation and Analytical Skills- (Semester 1-2)
Focus on mastering software tools used in electrical engineering, such as MATLAB/Simulink, ETAP, PSCAD, and PSpice, through dedicated lab work and personal projects. Actively participate in lab sessions to gain hands-on experience in power system analysis and power electronics design, enhancing practical application abilities.
Tools & Resources
MATLAB/Simulink tutorials, ETAP simulation software, University labs, Open-source circuit simulators
Career Connection
Proficiency in these tools is highly sought after by companies in power system design, R&D, and industrial automation for modeling and analyzing electrical systems, directly impacting job readiness and effectiveness.
Explore Elective Interests and Research Avenues- (Semester 1-2)
Utilize the elective choices in semesters one and two to explore specific areas of interest within Electrical Engineering, such as Renewable Energy Systems or Smart Grid Technology. Attend departmental seminars, engage with faculty on their research, and start identifying potential areas for your M.Tech dissertation, fostering early specialization.
Tools & Resources
Faculty profiles, University research publications, IEEE Xplore, Scopus, Google Scholar
Career Connection
Early exploration helps in identifying a niche specialization, which can lead to targeted internships and project opportunities, enhancing your profile for specialized roles and future research endeavors.
Intermediate Stage
Engage in Industry-Relevant Projects and Internships- (Semester 2-3)
Actively seek out and participate in internships at power companies, manufacturing units, or research organizations during semester breaks. Work on mini-projects aligned with current industry challenges, leveraging the advanced concepts learned in specialized electives like Smart Grid or Electric Vehicle Technology, bridging academic knowledge with practical application.
Tools & Resources
University placement cell, LinkedIn, Industry contacts, Project guides, Company websites for internship applications
Career Connection
Practical industry exposure is invaluable for gaining real-world experience, building a professional network, and significantly boosting placement chances in core electrical engineering sectors and R&D roles in India.
Specialize Through Advanced Electives and Certifications- (Semester 2-3)
Choose advanced electives that align with your career goals, such as Power Quality & FACTS Devices or HVDC & FACTS. Consider pursuing relevant professional certifications (e.g., Certified Energy Manager, PLC programming) to demonstrate specialized skills and enhance your employability in niche areas, making you a more valuable asset.
Tools & Resources
Official certification bodies (e.g., BEE for energy management), Online learning platforms (Coursera, Udemy for PLC), Industry training programs
Career Connection
Specialization through advanced courses and certifications makes you a more competitive candidate for specialized roles in high-demand areas like renewable energy, smart infrastructure, or industrial automation, improving salary prospects.
Network with Professionals and Attend Technical Conferences- (Semester 2-3)
Actively participate in technical workshops, seminars, and conferences organized by professional bodies like IEEE, IET, or local industry associations. Network with industry experts, faculty, and peers to stay updated on emerging trends and explore collaborative opportunities, building a strong professional circle.
Tools & Resources
IEEE local chapter events, Industry expos, University alumni network, LinkedIn
Career Connection
Building a strong professional network can open doors to mentorship, job referrals, and insights into industry expectations, which are crucial for career growth and navigating the competitive Indian job market.
Advanced Stage
Excel in Dissertation Research and Publication- (Semester 3-4)
Dedicate significant effort to your M.Tech dissertation, aiming for high-quality research that addresses a relevant industry problem. Strive to publish your findings in reputed national or international journals/conferences, which significantly enhances your academic and professional profile and showcases your research capabilities.
Tools & Resources
Research supervisors, University library resources, Plagiarism detection tools, LaTeX for thesis writing, IEEE Xplore, Scopus for publication venues
Career Connection
A strong dissertation and publication record can lead to R&D roles, academic positions, or give you a competitive edge in core engineering company placements, especially in organizations with innovation focus.
Focus on Placement Preparation and Interview Skills- (Semester 4)
Actively participate in placement cell activities, mock interviews, and group discussions. Refine your resume, highlight your projects, internships, and specialized skills. Practice technical questions specifically related to power systems, power electronics, and control systems relevant to core electrical companies, ensuring interview readiness.
Tools & Resources
University placement cell, Online interview preparation platforms, Company-specific previous year question papers, Technical books
Career Connection
Thorough preparation is key to securing coveted positions in PSUs, private sector companies (e.g., L&T, Siemens, ABB), and R&D divisions within the Indian electrical industry, translating directly into successful job offers.
Develop Leadership and Project Management Abilities- (Semester 3-4)
Take initiative in team-based projects, lead discussions, and manage project timelines effectively, especially during your dissertation. Cultivate communication and presentation skills through seminars and project defense. Seek opportunities for peer mentorship to develop leadership qualities essential for higher roles.
Tools & Resources
Project management software (basic versions), Presentation tools, Public speaking workshops, Mentorship programs
Career Connection
Beyond technical skills, leadership and project management are crucial for growth into managerial and supervisory roles, enabling you to lead teams and projects effectively in the Indian industrial landscape and achieve career progression.
Program Structure and Curriculum
Eligibility:
- B.E./ B.Tech. in relevant discipline with 50% marks for General, OBC & 45% for SC/ST
Duration: 4 semesters
Credits: 76 Credits
Assessment: Internal: 30% (Theory), 50% (Practical), 100% (Viva Voce), 30% (Dissertation), External: 70% (Theory), 50% (Practical), 0% (Viva Voce), 70% (Dissertation)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MT-101 | Advanced Engineering Mathematics | Core | 4 | Linear Algebra, Probability & Statistics, Numerical Methods, Transform Techniques, Optimization Techniques |
| MT-102 | Research Methodology & IPR | Core | 3 | Research Process, Data Collection & Analysis, Report Writing, Intellectual Property Rights, Patents and Copyrights |
| MT-103 | Advanced Optimization Techniques | Core | 3 | Linear Programming, Non-linear Programming, Dynamic Programming, Meta-heuristic Algorithms, Game Theory |
| MT-104(A) | Computer Organization & Architecture | Elective-I (Choice based) | 3 | Processor Organization, Memory Hierarchy, I/O Organization, Pipelining, Parallel Processing |
| MT-104(B) | Soft Computing | Elective-I (Choice based) | 3 | Fuzzy Logic, Neural Networks, Genetic Algorithms, Hybrid Systems, Swarm Intelligence |
| MT-104(C) | Robotics & Automation | Elective-I (Choice based) | 3 | Robot Kinematics & Dynamics, Sensors & Actuators, Motion Planning, Robot Control, Industrial Applications |
| MT-104(D) | Digital Image Processing | Elective-I (Choice based) | 3 | Image Fundamentals, Image Enhancement, Image Restoration, Image Segmentation, Image Compression |
| MT-104(E) | Industrial Automation & PLC | Elective-I (Choice based) | 3 | Industrial Control Systems, Programmable Logic Controllers (PLCs), SCADA Systems, Human-Machine Interface (HMI), Distributed Control Systems (DCS) |
| MT-104(F) | Advanced Process Control | Elective-I (Choice based) | 3 | PID Control, State Space Control, Optimal Control, Adaptive Control, Process Modeling |
| MT-105(A) | Internet of Things | Elective-II (Choice based) | 3 | IoT Architecture, Sensors & Actuators, Communication Protocols, Cloud Platforms for IoT, IoT Security |
| MT-105(B) | Advanced Database Management System | Elective-II (Choice based) | 3 | Relational Algebra & Calculus, Query Optimization, Concurrency Control, Distributed Databases, NoSQL Databases |
| MT-105(C) | Advanced Microprocessor & Microcontroller | Elective-II (Choice based) | 3 | 8086/ARM Architecture, Interrupts & Timers, Memory Interfacing, Peripheral Devices, Embedded C Programming |
| MT-105(D) | Artificial Intelligence & Machine Learning | Elective-II (Choice based) | 3 | AI Foundations, Search Algorithms, Supervised Learning, Unsupervised Learning, Deep Learning Basics |
| MT-105(E) | Renewable Energy Systems | Elective-II (Choice based) | 3 | Solar Energy Systems, Wind Energy Conversion, Hydro & Biomass Energy, Geothermal & Ocean Energy, Energy Storage Technologies |
| MT-105(F) | Advanced Communication Systems | Elective-II (Choice based) | 3 | Digital Modulation Techniques, Spread Spectrum Systems, MIMO Systems, OFDM, Satellite & Wireless Communication |
| MT-106 | Advanced Engineering Mathematics Lab | Lab | 2 | MATLAB Programming for Engineering, Numerical Methods Implementation, Statistical Analysis using Software, Optimization Toolboxes, Transform Techniques Simulation |
| MT-107 | Research Methodology & IPR Lab | Lab | 2 | Literature Review Tools, Patent Search & Analysis, Research Proposal Development, Data Analysis Tools, Technical Report Formatting |
| MT-108 | Seminar-I | Project/Seminar | 1 | Technical Presentation Skills, Literature Survey, Report Writing, Topic Selection, Q&A Techniques |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MTEE-201 | Power System Operation & Control | Core | 4 | Load Flow Analysis, Economic Dispatch, Unit Commitment, Automatic Generation Control (AGC), Voltage & Reactive Power Control |
| MTEE-202 | Advanced Electric Drives | Core | 4 | DC Motor Drives, Induction Motor Drives, Synchronous Motor Drives, Switched Reluctance Motor Drives, Control Strategies for Drives |
| MTEE-203 | Advanced Power Electronics | Core | 4 | Thyristor Converters, AC-DC Converters, DC-DC Converters, Inverters, Cycloconverters & HVDC Converters |
| MTEE-204(A) | Smart Grid Technology | Elective-III (Choice based) | 3 | Smart Grid Architecture, Advanced Metering Infrastructure (AMI), Phasor Measurement Units (PMU), Renewable Energy Integration, Cyber Security in Smart Grid |
| MTEE-204(B) | Power Quality & FACTS Devices | Elective-III (Choice based) | 3 | Power Quality Issues, Harmonics & Flicker, Voltage Sag/Swell, Static VAR Compensator (SVC), STATCOM & UPFC |
| MTEE-204(C) | High Voltage Engineering | Elective-III (Choice based) | 3 | Conduction & Breakdown in Dielectrics, Corona Discharges, Insulators & Cables, HVDC Transmission, Testing of HV Apparatus |
| MTEE-204(D) | Electric Vehicle Technology | Elective-III (Choice based) | 3 | EV Architectures, Electric Motors for EVs, Battery Technologies, Charging Infrastructure, Energy Management in EVs |
| MTEE-204(E) | Digital Control Systems | Elective-III (Choice based) | 3 | Sampled Data Systems, Z-Transform, Digital PID Control, State Space Analysis for Digital Systems, Digital Filter Design |
| MTEE-205(A) | Advanced Control Systems | Elective-IV (Choice based) | 3 | State Space Analysis, Controllability & Observability, Optimal Control, Robust Control, Non-linear Control Systems |
| MTEE-205(B) | Design of Electrical Machines | Elective-IV (Choice based) | 3 | Design Principles, Magnetic Circuit Design, Thermal Considerations, Design of Transformers, Design of Induction & Synchronous Machines |
| MTEE-205(C) | Digital Signal Processing | Elective-IV (Choice based) | 3 | Discrete Time Signals, Z-Transform, FIR & IIR Filter Design, Discrete Fourier Transform (DFT), Multirate DSP |
| MTEE-205(D) | Illumination Engineering | Elective-IV (Choice based) | 3 | Light Sources, Photometry, Luminaires & Lighting Control, Interior Lighting Design, Exterior Lighting & Energy Efficiency |
| MTEE-205(E) | AI Applications in Electrical Engineering | Elective-IV (Choice based) | 3 | AI Techniques (NN, Fuzzy Logic, GA), Power System Optimization, Fault Diagnosis, Load Forecasting, Smart Grid Applications |
| MTEE-206 | Power System Lab | Lab | 2 | Load Flow Analysis, Economic Dispatch Simulation, Power System Stability, Relay Coordination, Power System Software (e.g., ETAP, PSIM) |
| MTEE-207 | Electric Drives & Power Electronics Lab | Lab | 2 | Converter & Inverter Control, DC Motor Drives, Induction Motor Control, PWM Techniques, Power Device Characterization |
| MTEE-208 | Comprehensive Viva Voce | Viva | 1 | Overall M.Tech Curriculum Knowledge, Problem-Solving Skills, Technical Communication, Concept Understanding, Application of Engineering Principles |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MTEE-301 | Dissertation / Thesis (Part-I) | Project | 8 | Problem Identification, Literature Review, Methodology Development, Preliminary Results, Research Proposal |
| MTEE-302(A) | Non-Conventional Energy Sources | Elective-V (Choice based) | 3 | Solar PV Systems, Wind Energy Conversion Systems, Biomass & Geothermal Energy, Tidal & Wave Energy, Hybrid Renewable Systems |
| MTEE-302(B) | Restructuring of Power System | Elective-V (Choice based) | 3 | Power System Deregulation, Electricity Market Structures, Ancillary Services, Transmission Pricing, Power Trading & Bilateral Contracts |
| MTEE-302(C) | Industrial Electrical Systems | Elective-V (Choice based) | 3 | Industrial Power Distribution, Motor Control Centers, Power Factor Correction, Earthing & Grounding, Electrical Safety in Industry |
| MTEE-302(D) | Power System Reliability | Elective-V (Choice based) | 3 | Reliability Concepts & Indices, Generation System Reliability, Transmission System Reliability, Distribution System Reliability, Monte Carlo Simulation |
| MTEE-302(E) | Advanced Microgrids | Elective-V (Choice based) | 3 | Microgrid Architectures, Distributed Generation, Grid-Connected & Islanded Operation, Control Strategies for Microgrids, Protection of Microgrids |
| MTEE-303(A) | System Identification and Adaptive Control | Elective-VI (Choice based) | 3 | System Modeling, Parameter Estimation Techniques, Recursive Identification, Model Reference Adaptive Control (MRAC), Gain Scheduling |
| MTEE-303(B) | Optimization Techniques for Power Systems | Elective-VI (Choice based) | 3 | Economic Dispatch, Unit Commitment, Hydro-Thermal Scheduling, Optimal Power Flow, AI Techniques in Power Optimization |
| MTEE-303(C) | HVDC & FACTS | Elective-VI (Choice based) | 3 | HVDC Systems, Line Commutated Converters, Voltage Source Converters, STATCOM & SVC, TCSC & UPFC for Stability |
| MTEE-303(D) | Electrical System Design & Estimation | Elective-VI (Choice based) | 3 | Design of Substations, Design of Distribution Systems, Motor Control Circuits Design, Electrical Wiring Systems, Cost Estimation & Tendering |
| MTEE-303(E) | Energy Management & Audit | Elective-VI (Choice based) | 3 | Energy Conservation Principles, Energy Audit Methodology, Measurement & Verification, Energy Efficient Technologies, Energy Policy & Regulations |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MTEE-401 | Dissertation / Thesis (Part-II) | Project | 18 | Experimental Validation, Data Analysis & Interpretation, Thesis Writing, Presentation & Defense, Research Contribution |
