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M-TECH in Computing And Electrical Engineering at Indian Institute of Technology Mandi
Mandi, Himachal Pradesh
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About the Specialization
What is Computing and Electrical Engineering at Indian Institute of Technology Mandi Mandi?
This Computing and Electrical Engineering M.Tech program at Indian Institute of Technology Mandi focuses on advanced theoretical and practical aspects of modern computing and electrical systems. It integrates concepts from computer science, electronics, and communication engineering, equipping students with interdisciplinary expertise critical for India''''s rapidly evolving technology sectors, including AI, IoT, and smart infrastructure development.
Who Should Apply?
This program is ideal for engineering graduates with a background in electrical, electronics, communication, or computer science disciplines, seeking to deepen their technical knowledge. It caters to fresh graduates aiming for specialized roles in R&D or industry, as well as working professionals looking to upskill in cutting-edge areas like machine learning, embedded systems, or power electronics, to advance their careers in the Indian tech landscape.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths in core engineering, IT, and R&D roles. They are well-prepared for positions as AI/ML engineers, embedded systems developers, data scientists, and power systems engineers in leading Indian companies and MNCs. Entry-level salaries typically range from INR 8-15 LPA, with significant growth trajectories. The program''''s robust curriculum also aligns with requirements for various industry certifications and higher research.
Student Success Practices
Foundation Stage
Strengthen Core Engineering Fundamentals- (Semester 1-2)
Actively engage with advanced concepts in digital signal processing, computer architecture, and control systems. Utilize online platforms like NPTEL and Coursera for supplementary learning, and participate in departmental workshops to build a robust theoretical base crucial for specialized advanced topics and project work.
Tools & Resources
NPTEL, Coursera, Departmental workshops
Career Connection
A strong foundation is essential for tackling complex engineering problems and excelling in technical roles in Indian R&D and tech firms.
Cultivate Problem-Solving Skills through Coding- (Semester 1-2)
Regularly practice coding and algorithmic thinking, particularly focusing on data structures and algorithms, to apply theoretical knowledge to practical problems. Platforms like HackerRank, LeetCode, and CodeChef are excellent for honing skills necessary for technical interviews and developing efficient solutions for complex engineering challenges.
Tools & Resources
HackerRank, LeetCode, CodeChef
Career Connection
Proficiency in coding and algorithms is a non-negotiable skill for most computing and electrical engineering roles in India, aiding in securing placements.
Initiate Research Exploration and Literature Review- (Semester 1-2)
Begin exploring research papers and review articles in areas of interest within computing and electrical engineering. This helps in identifying potential thesis topics, understanding current research trends, and building a foundation for future academic and R&D careers, leveraging IIT Mandi''''s library resources and faculty expertise.
Tools & Resources
IIT Mandi Library, IEEE Xplore, ACM Digital Library
Career Connection
Early exposure to research helps in selecting a relevant thesis topic and can open doors to research-oriented careers or PhD programs after M.Tech.
Intermediate Stage
Deep Dive into Specialization through Electives- (Semester 3)
Strategically choose elective courses that align with career goals, whether in AI/ML, VLSI, Power Systems, or Communications. Participate in advanced technical workshops and mini-projects related to these specializations, building a focused skill set demanded by specific industry roles in India.
Tools & Resources
Specialized courses, Technical workshops, Mini-projects
Career Connection
Focused specialization makes graduates highly desirable for targeted roles in specific tech sectors within India, enhancing job prospects.
Engage in M.Tech Thesis Part 1 and Faculty Mentorship- (Semester 3)
Actively work on the initial phase of the M.Tech thesis, focusing on problem definition, literature survey, and methodology development under faculty guidance. This critical phase builds research acumen and contributes significantly to advanced problem-solving capabilities, essential for R&D positions.
Tools & Resources
Faculty advisors, Research labs, Specialized software
Career Connection
Successful thesis work showcases independent research ability, a key factor for R&D roles, and provides a strong academic credential for future endeavors.
Network with Industry Professionals and Peers- (Semester 3)
Attend industry seminars, guest lectures, and departmental colloquia to connect with professionals and build a strong network. Collaborate with peers on projects and study groups, fostering a collaborative learning environment that prepares for team-based engineering roles in Indian tech companies.
Tools & Resources
Industry events, Alumni network, Professional societies
Career Connection
Networking opens doors to internships, job opportunities, and mentorship, crucial for career growth in the competitive Indian job market.
Advanced Stage
Accelerate Thesis Completion and Publication- (Semester 4)
Dedicate significant effort to completing the M.Tech thesis, aiming for high-quality research outcomes that could potentially lead to conference presentations or journal publications. This demonstrates advanced research capabilities and a strong commitment to academic and industrial innovation.
Tools & Resources
Research labs, Publication guidelines, Presentation tools
Career Connection
A strong thesis and potential publications significantly enhance a candidate''''s profile for R&D, academic, and even product development roles.
Intensive Placement Preparation- (Semester 4)
Focus on mock interviews, resume building workshops, and technical skill refinement tailored to target companies and roles. Utilize the institute''''s career development cell resources and alumni network to gain insights into interview processes and secure desirable placements in top Indian and multinational firms.
Tools & Resources
Career Development Cell, Mock interview sessions, Alumni mentorship
Career Connection
Thorough preparation directly translates into higher chances of securing good placements with competitive salary packages in leading companies.
Develop Professional and Leadership Skills- (Semester 4)
Participate in leadership development programs, student clubs, and organizational activities to enhance soft skills such as communication, teamwork, and project management. These are vital for leadership roles and effective collaboration in complex engineering projects within India''''s diverse industry landscape.
Tools & Resources
Student organizations, Leadership workshops, Team projects
Career Connection
Beyond technical skills, strong soft skills are crucial for career progression into management and leadership positions in the Indian corporate sector.
Program Structure and Curriculum
Eligibility:
- B.Tech. or B.E. in Electrical Engineering/Electronics Engineering/Electronics & Communication Engineering/Computer Science Engineering/Information Technology, M.Sc. in Electrical Engineering/Electronics/Electronics Science/Instrumentation/Computer Science/Information Technology or MCA, with a minimum of 60% aggregate marks (or 6.0 CGPA on a 10-point scale) for General/OBC-NCL/EWS categories, and 55% aggregate marks (or 5.5 CGPA on a 10-point scale) for SC/ST/PwD categories. All eligible candidates must have a valid GATE score. GATE score is exempted for IIT B.Tech. graduates with a minimum of 8.0 CGPA on a 10-point scale.
Duration: 4 semesters / 2 years
Credits: 72 Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CEL 501 | Advanced Digital Signal Processing | Core | 3 | Review of Discrete-time signals and systems, Discrete Fourier Transform and Z-transform, Filter structures and Digital filter design, Multirate DSP, Adaptive Filters, Application of DSP |
| CEL 502 | Advanced Computer Architecture | Core | 3 | Pipelining techniques, Instruction Level Parallelism (ILP), Data-level parallelism and Thread-level parallelism, Multiprocessors and Cache coherence, Memory hierarchy design, Storage and I/O systems |
| CEL Elective 1 | Program Elective 1 | Elective | 3 | Topics vary based on chosen course from the available elective pool |
| CEL Elective 2 | Program Elective 2 | Elective | 3 | Topics vary based on chosen course from the available elective pool |
| CEL Elective 3 | Program Elective 3 | Elective | 3 | Topics vary based on chosen course from the available elective pool |
| CEL Elective 4 | Program Elective 4 | Elective | 3 | Topics vary based on chosen course from the available elective pool |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CEL 503 | Advanced Control Systems | Core | 3 | State-space representation, Controllability and Observability, State feedback control and Pole placement, Observer design, Optimal control systems, Nonlinear and Adaptive control systems |
| CEL 504 | Advanced Data Communication Networks | Core | 3 | Network architectures and layering, Error control coding and detection, Flow and congestion control mechanisms, Network layer protocols (IPv4, IPv6), Transport layer protocols (TCP, UDP), Wireless networks and Network security principles |
| CEL Elective 5 | Program Elective 5 | Elective | 3 | Topics vary based on chosen course from the available elective pool |
| CEL Elective 6 | Program Elective 6 | Elective | 3 | Topics vary based on chosen course from the available elective pool |
| CEL Elective 7 | Program Elective 7 | Elective | 3 | Topics vary based on chosen course from the available elective pool |
| CEL Elective 8 | Program Elective 8 | Elective | 3 | Topics vary based on chosen course from the available elective pool |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CEL 699 | M.Tech. Thesis - Part 1 | Project | 12 | Problem identification and literature review, Research methodology development, Preliminary experimental design or theoretical framework, Data collection and initial analysis, Report writing and presentation |
| CEL Elective 9 | Program Elective 9 | Elective | 3 | Topics vary based on chosen course from the available elective pool |
| CEL Elective 10 | Program Elective 10 | Elective | 3 | Topics vary based on chosen course from the available elective pool |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CEL 699 | M.Tech. Thesis - Part 2 | Project | 12 | Advanced experimental work and simulation, In-depth data analysis and interpretation, Results validation and discussion, Final thesis writing and defense, Research paper preparation (if applicable) |
| CEL Elective 11 | Program Elective 11 | Elective | 3 | Topics vary based on chosen course from the available elective pool |
| CEL Elective 12 | Program Elective 12 | Elective | 3 | Topics vary based on chosen course from the available elective pool |
