
MS-BY-RESEARCH in Electrical Engineering at Indian Institute of Technology Tirupati


Tirupati, Andhra Pradesh
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About the Specialization
What is Electrical Engineering at Indian Institute of Technology Tirupati Tirupati?
This Electrical Engineering MS by Research program at Indian Institute of Technology Tirupati focuses on cultivating advanced research capabilities in core and emerging areas of Electrical Engineering. It addresses the growing need for specialized R&D professionals in India''''s technology sector, emphasizing independent problem-solving and innovation. The program is distinguished by its strong research-centric approach and interdisciplinary potential, contributing to India''''s technological self-reliance and global competitiveness.
Who Should Apply?
This program is ideal for highly motivated B.E./B.Tech. graduates in Electrical, Electronics, or Instrumentation Engineering, as well as M.Sc. holders in Physics/Electronics, who possess a strong academic record and a valid GATE score. It caters to individuals aspiring for a career in cutting-edge research, academia, or advanced R&D roles within prestigious Indian organizations and multinational corporations operating in India, including those seeking a pathway to PhD studies.
Why Choose This Course?
Graduates of this program can expect to develop strong research methodologies, publish in top-tier journals, and contribute significantly to technological advancements. India-specific career paths include R&D positions in public sector undertakings (DRDO, ISRO, BEL), private R&D centers (TCS R&D, Intel India, Samsung R&D), and academic roles. Entry-level salaries typically range from INR 8-15 lakhs per annum, with significant growth trajectories for experienced researchers in the Indian market.

Student Success Practices
Foundation Stage
Master Core Concepts and Identify Research Area- (Semesters 1-2)
Dedicate the initial semesters to rigorously understanding advanced Electrical Engineering core subjects and exploring various research domains. Engage deeply with faculty to identify a specific research problem aligned with departmental expertise and your interests. Attend research seminars and workshops to broaden your perspective.
Tools & Resources
NPTEL online courses, Departmental research seminars, Academic journals (IEEE, Elsevier), Faculty consultations
Career Connection
A strong foundation and clear research direction are crucial for successful thesis work and directly influence the quality of your research output, enhancing employability in specialized R&D roles.
Develop Advanced Literature Review Skills- (Semesters 1-2)
Systematically review existing literature relevant to your chosen research area. Utilize academic databases effectively to identify gaps in current knowledge and formulate precise research questions. Document your findings meticulously, critically evaluating methodologies and results from published works.
Tools & Resources
Scopus, Web of Science, Google Scholar, IIT T digital library resources, Zotero/Mendeley for reference management
Career Connection
Proficiency in literature review is fundamental for any research role, enabling you to build upon existing knowledge and position your work as novel, highly valued in both academia and corporate R&D.
Engage in Interdisciplinary Project Exploration- (Semesters 1-2)
While focusing on Electrical Engineering, explore potential collaborations or projects at the intersection of EE with other disciplines like Computer Science, Mechanical Engineering, or Materials Science. This expands your problem-solving toolkit and prepares you for complex, real-world engineering challenges prevalent in Indian industries.
Tools & Resources
Cross-departmental faculty meetings, Interdisciplinary research groups, Project-based learning platforms
Career Connection
Multidisciplinary skills are highly sought after by Indian tech giants and startups alike, fostering adaptability and a holistic approach to innovation, significantly boosting career prospects.
Intermediate Stage
Design and Execute Experimental/Simulation Setups- (Semesters 3-5)
Translate your research hypotheses into practical experimental designs or simulation models. Develop robust methodologies for data collection, ensuring accuracy and reproducibility. Debug and refine your setups rigorously, documenting every iteration and outcome.
Tools & Resources
MATLAB/Simulink, CST Studio Suite, Cadence/Synopsys tools, Lab equipment and instrumentation
Career Connection
Practical implementation skills are indispensable for R&D engineers. This practice builds hands-on expertise valued by companies for product development and advanced engineering roles in India.
Actively Participate in Research Group Discussions and Conferences- (Semesters 3-5)
Regularly present your research progress in departmental colloquia, research group meetings, and national/international conferences. Engage critically with feedback from peers and experts. This hones your presentation skills and exposes you to diverse research perspectives.
Tools & Resources
Departmental seminar series, IEEE conferences in India, ResearchGate for discussions
Career Connection
Networking and presenting at conferences enhance your visibility, lead to potential collaborations, and are crucial for academic and industry recognition, aiding placements and future opportunities.
Develop Strong Scientific Writing and Publication Habits- (Semesters 3-5)
Begin writing research papers and technical reports based on your preliminary findings. Focus on clarity, logical flow, and adherence to scientific publication standards. Aim for submissions to reputed journals or conferences, under the guidance of your supervisor.
Tools & Resources
Overleaf (LaTeX editor), Grammarly/QuillBot, Journal submission guidelines, Supervisor feedback
Career Connection
Publications are a testament to your research caliber, significantly boosting your resume for academic positions, R&D roles, and even competitive PhD programs globally and within India.
Advanced Stage
Master Thesis Formulation and Defense Preparation- (Semesters 6-8)
Structure your MS thesis meticulously, ensuring all research contributions are clearly articulated. Practice your thesis defense presentation extensively, anticipating questions from your committee. Focus on clear communication of your novel contributions and future work.
Tools & Resources
Thesis template guidelines (IIT T), Mock defense sessions, Public speaking practice resources
Career Connection
A well-defended thesis showcases your ability to conduct and communicate independent research, preparing you for leadership roles in R&D or advanced academic pursuits.
Network with Industry Professionals and Alumni- (Semesters 6-8)
Actively engage in networking events, industry workshops, and alumni meets. Seek out mentors in your field of interest and understand current industry trends and hiring needs. Leverage these connections for internships, projects, and potential job placements.
Tools & Resources
LinkedIn, IIT T Alumni Network portal, Industry association events (e.g., IET India, IEI)
Career Connection
Professional networks are invaluable for career advancement in India, opening doors to unadvertised positions and providing insights into the evolving job market.
Strategic Career Planning and Skill Alignment- (Semesters 6-8)
Assess your long-term career goals, whether in academia, industry R&D, or entrepreneurship. Identify additional skills (e.g., project management, advanced data analytics) that would complement your research expertise and actively work to acquire them through online courses or certification programs.
Tools & Resources
Coursera/edX for specialized courses, Career counseling services, Industry reports and job market analyses
Career Connection
Proactive career planning ensures you are well-equipped to capitalize on opportunities in India''''s competitive job market, leading to faster career progression and higher job satisfaction.
Program Structure and Curriculum
Eligibility:
- B.E./B.Tech. in Electrical Engineering/Electrical and Electronics Engineering/Electronics and Communication Engineering/Instrumentation Engineering/Electronics and Instrumentation Engineering OR M.Sc. in Physics/Electronics from a recognized institution. A valid GATE score in EE/EC/IN/PH or equivalent national level examination. Selection based on interview/written test. IIT B.Tech. graduates with a minimum CGPA of 8.0 are exempted from GATE.
Duration: 2 to 5 years (minimum 4 semesters for coursework and research)
Credits: 72 (24 coursework credits + 48 research credits) Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EE501 | Introduction to Control Systems | Core | 3 | Linear systems and models, Feedback control systems design, Frequency domain analysis (Bode, Nyquist), Root locus technique, State-space analysis and observers |
| EE502 | Advanced Digital Signal Processing | Core | 3 | Discrete-time signals and systems, Z-transform and its properties, DFT, FFT algorithms and applications, Digital filter design (FIR and IIR), Multi-rate signal processing |
| EE503 | Advanced Power Systems Analysis | Core | 3 | Power system components and modeling, Per-unit system and symmetrical components, Symmetrical and unsymmetrical faults, Power flow analysis methods, Power system stability concepts |
| EE504 | Digital Communication | Core | 3 | Signal space representation, Digital modulation schemes (ASK, FSK, PSK, QAM), Optimal receivers and matched filters, Channel capacity and information theory basics, Error control coding fundamentals |
| EE505 | Advanced Solid State Devices | Core | 3 | Semiconductor physics and band theory, P-N junction diode characteristics, MOSFET operation and characteristics, Bipolar Junction Transistors (BJTs), Advanced device concepts (FinFETs, Nanowires) |
| EE506 | Digital VLSI Design | Core | 3 | CMOS technology and fabrication, Static and dynamic CMOS gates, Combinational and sequential logic design, Interconnect analysis and clocking strategies, VLSI design styles and methodologies |
| EE507 | Power Electronics and Drives | Core | 3 | Power semiconductor devices, DC-DC converters (Buck, Boost, Buck-Boost), AC-DC rectifiers and inverters, DC-AC inverters (PWM techniques), Motor drives control strategies |
| EE508 | Advanced Electromagnetic Theory | Core | 3 | Maxwell''''s equations and wave propagation, Transmission lines characteristics, Waveguides and resonant cavities, Antenna theory and radiation patterns, Electromagnetic compatibility (EMC) basics |
| EE509 | Embedded Systems Design | Core | 3 | Microcontrollers and microprocessors, Embedded system architecture, Real-time operating systems (RTOS), Sensors, actuators, and interfacing, Communication protocols (I2C, SPI, UART) |
| EE510 | Advanced Control Systems | Core | 3 | State-space control design, Optimal control theory (LQR), Robust control and H-infinity design, Adaptive control systems, Nonlinear control techniques |
| EE511 | Advanced Microprocessors and Microcontrollers | Core | 3 | Microprocessor architectures (ARM, PIC), Memory organization and I/O programming, Interrupt handling mechanisms, Peripheral interfacing and communication, Assembly language programming and embedded applications |
| EE512 | Optimization Techniques | Core | 3 | Linear programming (Simplex method), Non-linear programming fundamentals, Unconstrained optimization methods, Constrained optimization (KKT conditions), Convex optimization concepts |
| EE513 | Random Processes and Applications | Core | 3 | Probability theory and random variables, Stochastic processes and their properties, Stationary and ergodic processes, Wiener and Kalman filters, Applications in communication and signal processing |
| EE551 | Advanced Power Electronics Lab | Lab | 2 | Power converter characteristics, DC-DC and DC-AC converter experiments, Power device testing and characterization, Closed-loop control of power electronic circuits, Simulation tools for power electronics |
| EE552 | Advanced DSP Lab | Lab | 2 | DSP algorithm implementation on processors, Digital filter design and analysis, Spectral analysis techniques, Real-time signal processing applications, Audio and image processing tasks |
| EE553 | Advanced VLSI Design Lab | Lab | 2 | CMOS circuit design and simulation, Layout design and verification, FPGA implementation of digital systems, Hardware description languages (VHDL/Verilog), ASIC design flow and tools |
| EE554 | Embedded Systems Lab | Lab | 2 | Microcontroller programming and debugging, Sensor and actuator interfacing, Real-time operating system concepts, Communication protocols implementation, Project-based embedded system development |
| EE555 | Advanced Communication Lab | Lab | 2 | Digital modulation/demodulation experiments, Error control coding implementations, Channel estimation techniques, Software Defined Radio (SDR) basics, Wireless communication system analysis |
| EE556 | Advanced Control Systems Lab | Lab | 2 | PID control implementation, State-space control design, System identification techniques, Real-time control applications, Robotics and automation control |
| EE557 | Advanced Measurement and Instrumentation Lab | Lab | 2 | Sensor calibration and characterization, Data acquisition systems design, Signal conditioning circuits, Virtual instrumentation using LabVIEW, Advanced measurement techniques |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EE601 | Linear and Non-Linear Control Systems | Elective | 3 | State-space representation and canonical forms, Lyapunov stability theory, Sliding mode control, Adaptive control systems, Robust control methods |
| EE602 | Power System Operation and Control | Elective | 3 | Economic dispatch and optimal power flow, Load frequency control (LFC), Reactive power and voltage control, Smart grid operation challenges, Power system deregulation and market |
| EE603 | Wireless Communication | Elective | 3 | Wireless channel modeling and fading, Diversity techniques, MIMO systems and spatial multiplexing, OFDM and multi-carrier systems, Cellular and wireless network architectures |
| EE604 | Digital Image Processing | Elective | 3 | Image enhancement techniques, Image restoration and denoising, Image segmentation methods, Image compression standards, Feature extraction and object recognition |
| EE605 | VLSI Testing and Testability | Elective | 3 | Fault models and fault simulation, Test pattern generation (ATPG), Design for Testability (DFT), Scan design techniques, Built-In Self-Test (BIST) |
| EE606 | Advanced Digital Communication | Elective | 3 | Spread spectrum communication, Multi-user detection, Advanced channel coding schemes, Equalization techniques, Cognitive radio concepts |
| EE607 | Smart Grid Technology | Elective | 3 | Smart grid architecture and functionalities, Renewable energy integration challenges, Smart meters and advanced metering infrastructure, Demand side management and response, Microgrids and distributed generation |
| EE608 | Advanced Power System Protection | Elective | 3 | Relaying principles and characteristics, Digital relays and numerical protection, Transformer and generator protection, Transmission line protection schemes, Busbar and motor protection |
| EE609 | Optoelectronics | Elective | 3 | Optical properties of semiconductors, LEDs and photodiodes, Laser principles and types, Optical fibers and waveguides, Photonic integrated circuits |
| EE610 | FPGA based System Design | Elective | 3 | FPGA architecture and programmable logic, HDL (VHDL/Verilog) for synthesis, Synthesis, mapping, and placement, Timing analysis and constraints, Prototyping and debugging on FPGAs |
| EE611 | Power Quality | Elective | 3 | Voltage sags, swells, and interruptions, Harmonic distortion analysis and mitigation, Voltage flicker and notching, Power quality standards and monitoring, Custom power devices |
| EE612 | High Voltage Engineering | Elective | 3 | Dielectric breakdown in gases, liquids, solids, Generation of high AC, DC, impulse voltages, Measurement of high voltages and currents, Insulation coordination, Lightning phenomena and surge arresters |
| EE613 | Digital Control Systems | Elective | 3 | Sampling and quantization, Z-transform and discrete-time models, Digital compensator design, State-space analysis of discrete systems, Stability of digital control systems |
| EE614 | Electric Drives | Elective | 3 | DC motor drives and control, AC motor drives (induction, synchronous), Variable speed drive characteristics, Converter topologies for drives, Regenerative braking and energy efficiency |
| EE615 | Renewable Energy Systems | Elective | 3 | Solar photovoltaic systems, Wind energy conversion systems, Biomass and fuel cell technologies, Grid integration of renewables, Energy storage systems |
| EE616 | Sensor Networks | Elective | 3 | Wireless Sensor Network (WSN) architecture, MAC protocols for WSNs, Routing protocols in WSNs, Data aggregation and fusion, Security challenges in sensor networks |
| EE617 | Medical Imaging | Elective | 3 | X-ray and computed tomography (CT), Magnetic resonance imaging (MRI), Ultrasound imaging principles, Image reconstruction techniques, Medical image analysis and processing |
| EE618 | Analog CMOS IC Design | Elective | 3 | MOS device physics and models, Single-stage CMOS amplifiers, Differential amplifiers and current mirrors, Operational amplifier design, Bandgap references and voltage regulators |
| EE619 | RF and Microwave Engineering | Elective | 3 | Transmission line theory, S-parameters and impedance matching, RF filters and couplers, Microwave amplifiers and oscillators, Antenna fundamentals at RF frequencies |
| EE620 | Advanced Network Analysis | Elective | 3 | Graph theory for network analysis, Network topology and matrix representation, Transient analysis of RLC circuits, Frequency response and resonance, Two-port networks and network theorems |
| EE621 | Quantum Electronics | Elective | 3 | Quantum mechanics principles, Atomic structure and spectroscopy, Laser physics and operation, Semiconductor lasers and LEDs, Introduction to quantum computing |
| EE622 | Introduction to Robotics | Elective | 3 | Robot kinematics (forward and inverse), Robot dynamics and control, Trajectory planning and generation, Robot sensors and actuators, Robotic vision and image processing |
| EE623 | Bio-Medical Instrumentation | Elective | 3 | Bioelectric signals and their characteristics, Electrodes and biopotential amplifiers, Transducers for biomedical applications, ECG, EEG, EMG measurement systems, Patient safety and medical device standards |
| EE624 | Neural Networks and Deep Learning | Elective | 3 | Perceptrons and feedforward networks, Backpropagation algorithm, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs) and LSTMs, Deep learning frameworks and applications |
| EE625 | Machine Learning for Signal Processing | Elective | 3 | Supervised and unsupervised learning, Support Vector Machines (SVMs), Decision trees and ensemble methods, Clustering techniques (k-means), Feature engineering for signal data |
| EE626 | Power System Dynamics and Stability | Elective | 3 | Synchronous machine modeling, Transient stability analysis, Voltage stability assessment, Small signal stability, FACTS devices for stability enhancement |
| EE627 | Data Converters | Elective | 3 | Nyquist-Shannon sampling theorem, Digital-to-Analog Converter (DAC) architectures, Analog-to-Digital Converter (ADC) architectures, Quantization noise and spurious-free dynamic range, Oversampling converters (Delta-Sigma) |
| EE628 | Digital System Design with FPGAs | Elective | 3 | FPGA device architectures and features, Hardware Description Languages (HDL) for design, Synthesis, place, and route flow, Timing analysis and constraints, Embedded processors on FPGAs |
| EE629 | Flexible AC Transmission Systems (FACTS) | Elective | 3 | Power flow and stability control, Thyristor-based FACTS controllers (SVC, TCSC), Voltage source converter-based FACTS (STATCOM, UPFC), Series and shunt compensation principles, Applications of FACTS in power systems |
| EE630 | Adaptive Signal Processing | Elective | 3 | Wiener filter theory, Least Mean Square (LMS) algorithm, Recursive Least Squares (RLS) algorithm, Adaptive equalization, Noise cancellation and echo cancellation |
| EE631 | Advanced RF Circuit Design | Elective | 3 | Low Noise Amplifier (LNA) design, RF Power Amplifier (PA) design, Mixers and frequency conversion, RF oscillator design, RF Integrated Circuit (RFIC) techniques |
| EE632 | Energy Management and Auditing | Elective | 3 | Principles of energy conservation, Energy efficiency and demand side management, Energy audit methodologies and instruments, Energy economics and cost-benefit analysis, Energy policies and regulations |
| EE633 | EMI/EMC | Elective | 3 | Electromagnetic Interference (EMI) sources, EMI coupling mechanisms, Shielding and grounding techniques, Filtering and suppression methods, Electromagnetic Compatibility (EMC) standards |
| EE634 | Communication Networks | Elective | 3 | Network topologies and architecture, Layered models (OSI, TCP/IP), Routing algorithms and protocols, Congestion control mechanisms, Quality of Service (QoS) and network security |
| EE635 | Electric and Hybrid Electric Vehicles | Elective | 3 | Electric Vehicle (EV) architectures, Electric motors for EVs (BLDC, PMSM), Battery technologies and management systems, Charging infrastructure and standards, Power electronics in hybrid and electric vehicles |
| EE636 | Cyber Physical Systems | Elective | 3 | CPS architectures and components, Sensing, actuation, and control in CPS, Communication protocols for CPS, Real-time and embedded systems aspects, Security and privacy in CPS applications |
| EE637 | Artificial Intelligence in Power Systems | Elective | 3 | AI techniques for power system analysis, Expert systems and fuzzy logic in grid operation, Neural networks for load forecasting, Machine learning for fault detection, Optimization algorithms for power system planning |
| EE638 | Pattern Recognition | Elective | 3 | Feature extraction and selection, Classification techniques (Bayes, k-NN), Clustering algorithms (k-means, hierarchical), Discriminant analysis, Decision trees and random forests |
| EE639 | Spread Spectrum Systems | Elective | 3 | Direct Sequence Spread Spectrum (DSSS), Frequency Hopping Spread Spectrum (FHSS), Code Division Multiple Access (CDMA), Processing gain and anti-jamming capability, Applications in communication and navigation |
| EE640 | Real Time Operating Systems | Elective | 3 | RTOS concepts and kernel architecture, Task scheduling algorithms, Inter-process communication (IPC), Memory management in RTOS, Real-time system design and debugging |
| EE641 | Photonic Integrated Circuits | Elective | 3 | Optical waveguides and couplers, Electro-optic and acousto-optic modulators, Photodetectors and optical amplifiers, Photonic filters and resonators, PIC fabrication technologies |
| EE642 | Semiconductor Device Fabrication | Elective | 3 | Crystal growth and wafer preparation, Oxidation and thin film deposition, Photolithography and etching techniques, Diffusion and ion implantation, Metallization and packaging |
| EE643 | Power System Transients | Elective | 3 | Switching transients in power systems, Lightning surges and overvoltages, Travelling waves on transmission lines, Insulation coordination and protection, Surge arresters and surge protection devices |
| EE644 | Optical Communication Systems | Elective | 3 | Optical fiber types and characteristics, Optical transmitters (LEDs, lasers), Optical receivers (PIN, APD), Wavelength Division Multiplexing (WDM), Free-Space Optics (FSO) and optical networks |
| EE645 | Information Theory and Coding | Elective | 3 | Entropy and mutual information, Channel capacity and Shannon''''s theorems, Source coding techniques (Huffman, Lempel-Ziv), Linear block codes and cyclic codes, Convolutional codes and Viterbi algorithm |
| EE646 | Advanced Digital Logic Design | Elective | 3 | Hardware Description Languages (VHDL/Verilog), Synchronous and asynchronous sequential circuits, Finite State Machine (FSM) design, Programmable Logic Devices (PLDs) and FPGAs, System-on-Chip (SoC) design principles |
| EE647 | Data Analytics for Smart Grid | Elective | 3 | Big data sources in smart grid, Machine learning algorithms for grid data, Load forecasting and demand prediction, Fault detection and diagnosis, Cybersecurity analytics for power systems |
| EE648 | Advanced Wireless Networks | Elective | 3 | Ad-hoc and vehicular networks, Wireless sensor networks architecture, 5G/6G communication technologies, Internet of Things (IoT) communication protocols, Network virtualization and software-defined networking |
| EE649 | Micro-Electro-Mechanical Systems (MEMS) | Elective | 3 | MEMS fabrication processes (bulk, surface micromachining), MEMS sensors (accelerometers, gyroscopes), MEMS actuators (comb drives, micro-pumps), Microfluidics and bio-MEMS, Packaging and reliability of MEMS devices |




