

M-TECH in Control System Engineering at National Institute of Technology Patna


Patna, Bihar
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About the Specialization
What is Control System Engineering at National Institute of Technology Patna Patna?
This Control System Engineering program at National Institute of Technology Patna focuses on the advanced design, analysis, and implementation of control systems across various domains. It equips students with expertise in robust, optimal, and intelligent control techniques essential for modern industrial automation. The program addresses the growing demand for skilled control engineers in India''''s rapidly expanding manufacturing, power, and aerospace sectors.
Who Should Apply?
This program is ideal for electrical, electronics, and instrumentation engineering graduates seeking entry into advanced automation and control R&D roles. It also suits working professionals aiming to upgrade their skills in industrial automation, robotics, and process control. Career changers with a strong analytical background desiring a transition into the high-tech control systems industry will find this specialization beneficial.
Why Choose This Course?
Graduates of this program can expect to pursue careers in automation, robotics, power systems, and aerospace industries within India. Entry-level salaries typically range from INR 6-10 LPA, with experienced professionals earning significantly more. Growth trajectories include roles as Control System Engineers, Automation Specialists, R&D Engineers, and Consultants in Indian MNCs and PSUs. The skills acquired align with certifications like Certified Automation Professional.

Student Success Practices
Foundation Stage
Master Core Control System Concepts- (Semester 1-2)
Dedicate significant time to understanding fundamental theories of linear, nonlinear, and digital control systems. Utilize textbooks, NPTEL lectures, and online courses on platforms like Coursera (e.g., University of Colorado Boulder''''s ''''Control Systems'''' specialization) to reinforce classroom learning and develop a strong analytical base.
Tools & Resources
NPTEL, Coursera, Standard Textbooks (e.g., Ogata, Dorf), MATLAB/Simulink tutorials
Career Connection
A solid grasp of fundamentals is crucial for passing technical interviews for core control engineering roles and forms the bedrock for advanced research and project work.
Proficiency in Simulation Tools- (Semester 1-2)
Develop high proficiency in simulation tools like MATLAB/Simulink for control system design, analysis, and validation. Actively participate in laboratory sessions, complete all assignments, and undertake small self-initiated projects to simulate various control algorithms and system behaviors.
Tools & Resources
MATLAB & Simulink, Python (with libraries like SciPy, NumPy, Control), Lab experiments
Career Connection
Employers in India''''s automation and R&D sectors highly value practical skills in industry-standard simulation software, directly impacting internship and placement opportunities.
Engage in Early Research Exploration- (Semester 1-2)
In the initial semesters, identify a potential research area or a faculty mentor whose work aligns with your interests in control systems. Start reading research papers, attend departmental seminars, and discuss potential minor project ideas to gain exposure to the research landscape.
Tools & Resources
IEEE Xplore, Scopus, NIT Patna Departmental Seminars
Career Connection
Early engagement helps in identifying a strong thesis topic, improving research skills, and potentially leading to publications, which are valuable for higher studies or specialized R&D roles.
Intermediate Stage
Undertake Industry-Relevant Minor Projects- (Semester 2)
Focus your Minor Project (Semester 2) on real-world industrial control problems or emerging areas like IoT-based control, robotics, or smart grids. Collaborate with industry professionals or faculty with industrial ties to ensure the project has practical applicability and uses relevant technologies.
Tools & Resources
Industry tie-ups, Departmental labs, Microcontrollers (Arduino, Raspberry Pi), PLCs
Career Connection
A strong, industry-aligned minor project showcases problem-solving skills and practical engineering experience, significantly enhancing your resume for internships and placements in automation companies.
Network and Attend Workshops/Conferences- (Semester 2-3)
Actively participate in national and regional workshops, conferences (e.g., IEEE TENCON, CONECCT), and technical events related to control systems, automation, and robotics in India. Network with academicians and industry experts to gain insights into industry trends and explore potential collaborations or job opportunities.
Tools & Resources
LinkedIn, IEEE Events Calendar, Professional body memberships
Career Connection
Networking opens doors to internships, mentorship, and job referrals, while staying updated on industry trends makes you a more informed and competitive candidate for specialized roles.
Develop Advanced Programming Skills- (Semester 2-3)
Beyond MATLAB, acquire proficiency in programming languages like Python (for AI/ML in control, data analysis) or C++ (for embedded systems and real-time control). Work on projects that integrate these languages with control applications, such as developing a neural network controller or implementing a real-time embedded control system.
Tools & Resources
Python (libraries like TensorFlow, PyTorch), C++ (for embedded platforms), Online coding platforms (HackerRank, LeetCode)
Career Connection
Advanced programming skills are essential for roles in intelligent control, robotics, and the growing field of Industry 4.0, making you versatile for modern engineering challenges.
Advanced Stage
Intensive Thesis/Dissertation Work with Publication Focus- (Semester 3-4)
Dedicate the entire Semester 3 and 4 to an in-depth thesis. Aim to solve a significant research problem with practical implications. Focus on high-quality research, rigorous experimentation, and clear documentation. Strive for publication in reputed journals (e.g., IEEE Transactions) or presentations at international conferences.
Tools & Resources
Research labs, High-performance computing resources, Journal databases, Writing tools (LaTeX)
Career Connection
A strong thesis with publications distinguishes you for R&D positions, academic careers, or PhD programs, showcasing your ability to conduct original and impactful research.
Targeted Placement Preparation and Mock Interviews- (Semester 3-4)
Begin placement preparation early in Semester 3. Practice technical questions specific to control systems, automation, and relevant programming. Participate in mock interviews conducted by the training and placement cell or alumni to refine communication and problem-solving skills under simulated pressure.
Tools & Resources
Placement cell resources, Interview preparation guides, Alumni network, Glassdoor/AmbitionBox for company-specific questions
Career Connection
Thorough preparation ensures you can effectively articulate your skills and knowledge, leading to successful placements in leading Indian and multinational companies offering control system engineering roles.
Explore Entrepreneurial Avenues or Specialized Training- (Semester 3-4)
For those with an entrepreneurial bent, explore the institute''''s incubation center for startup ideas in automation or control technology. Alternatively, pursue specialized certifications (e.g., PLC programming, industrial automation protocols) or short-term courses to gain a competitive edge in niche areas of control engineering.
Tools & Resources
NIT Patna Incubation Center, Industry-recognized certification bodies, Udemy/edX for specialized courses
Career Connection
This path offers an alternative to traditional placements, allowing you to create impact through innovation or acquire highly specialized skills demanded by specific industries, enhancing your long-term career prospects.
Program Structure and Curriculum
Eligibility:
- B.Tech. or equivalent degree in Electrical/Electronics/Instrumentation Engineering from a recognized university/institute.
Duration: 2 years / 4 semesters
Credits: 68 Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ECE 1101 | Advanced Control System | Core | 4 | State-Space Analysis, Nonlinear Control Systems, Optimal Control Principles, Adaptive Control Fundamentals, Robust Control Techniques, Digital Control Systems |
| ECE 1102 | Advanced Digital Signal Processing | Core | 4 | Multirate Signal Processing, Adaptive Filter Theory, Wavelet Transform Applications, Spectral Estimation Methods, Array Signal Processing, Compressive Sensing Basics |
| ECE 1103 | System Modelling and Simulation | Elective (Programme Elective-I) | 4 | Mathematical Modelling Techniques, Dynamic System Simulation, State-Space and Transfer Function Models, System Identification, Bond Graph Modelling, Simulation Software Tools |
| ECE 1106 | Soft Computing | Elective (Programme Elective-II) | 4 | Fuzzy Logic Systems, Artificial Neural Networks, Genetic Algorithms, Hybrid Soft Computing Techniques, Swarm Intelligence Algorithms, Machine Learning Principles |
| ECE 1109 | Advanced Control System Lab | Lab | 2 | MATLAB/Simulink for Control System Design, PID Controller Tuning Experiments, State-Space Control Implementation, System Identification using Lab Tools, Real-time Control System Applications, Robotics and Automation Control |
| ECE 1110 | Advanced Digital Signal Processing Lab | Lab | 2 | DSP Processor Programming, Digital Filter Design and Implementation, Spectrum Analysis using FFT, Adaptive Filtering Algorithms, Image and Speech Processing Applications, Real-time DSP Systems |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ECE 1201 | Process Control & Instrumentation | Core | 4 | Process Dynamics and Modelling, PID Control Strategies, Industrial Sensors and Transducers, Actuators and Control Valves, SCADA Systems, Distributed Control Systems (DCS) |
| ECE 1202 | Optimal and Adaptive Control | Elective (Programme Elective-III) | 4 | Calculus of Variations, Pontryagin''''s Minimum Principle, Dynamic Programming, Model Reference Adaptive Control (MRAC), Self-Tuning Regulators (STR), Robust Adaptive Control |
| ECE 1205 | Digital Image Processing | Elective (Programme Elective-IV) | 4 | Image Enhancement Techniques, Image Restoration Algorithms, Image Segmentation Methods, Feature Extraction and Description, Morphological Image Processing, Image Compression Standards |
| ECE 1208 | Power Electronics and Drives | Elective (Programme Elective-V) | 4 | Power Semiconductor Devices, AC-DC Converters (Rectifiers), DC-DC Converters (Choppers), DC-AC Converters (Inverters), Electric Motor Drives, Control of Power Electronic Converters |
| ECE 1211 | Minor Project | Project | 4 | Literature Review and Problem Identification, Project Planning and Design, Simulation and Experimentation, Data Analysis and Interpretation, Technical Report Writing, Presentation Skills |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ECE 2101 | Renewable Energy Systems | Elective (Programme Elective-VI) | 4 | Solar Photovoltaic Systems, Wind Energy Conversion Systems, Biomass Energy Technologies, Hybrid Renewable Energy Systems, Grid Integration Challenges, Energy Storage Solutions |
| ECE 2199 | Thesis/Dissertation (Part-I) | Project | 8 | Advanced Research Methodology, Comprehensive Literature Survey, Defining Research Problem and Objectives, Developing Research Hypothesis, Preliminary Experimental Design, Progress Report and Presentation |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ECE 2299 | Thesis/Dissertation (Part-II) | Project | 16 | Advanced Experimental Setup and Validation, Data Collection and Analysis, Simulations and Software Implementation, Result Interpretation and Discussion, Thesis Writing and Documentation, Oral Examination and Defence |




