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M-TECH in Smart Mobility And Logistics Systems at Indian Institute of Science
Bengaluru, Karnataka
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About the Specialization
What is Smart Mobility and Logistics Systems at Indian Institute of Science Bengaluru?
This Smart Mobility and Logistics Systems program at Indian Institute of Science, Bengaluru, focuses on advanced technologies for intelligent transportation, efficient logistics, and sustainable urban mobility. It addresses India''''s growing need for experts in smart city planning, autonomous systems, and optimized supply chains to tackle urban congestion and logistical challenges effectively, ensuring modern infrastructure development.
Who Should Apply?
This program is ideal for engineering graduates (Mechanical, Electrical, Electronics, Computer Science, Civil, Aerospace) with a strong analytical background and a valid GATE score. Working professionals in automotive, logistics, or IT sectors seeking to specialize in data-driven mobility solutions or autonomous technologies will also significantly benefit. It suits those passionate about solving complex urban mobility problems.
Why Choose This Course?
Graduates of this program can expect to be prepared for diverse roles in R&D, consulting, and management across India''''s automotive, logistics, and smart city sectors. Potential career paths include Autonomous Vehicle Engineer, Supply Chain Analyst, Intelligent Transportation Systems Specialist, or Mobility Consultant. Entry-level salaries can range from INR 8-15 LPA, with significant growth trajectories in Indian and multinational companies.
Student Success Practices
Foundation Stage
Master Core Engineering & Math Fundamentals- (Semester 1-2)
Actively engage with advanced engineering mathematics, system design, and probability courses. Utilize online platforms like NPTEL and Khan Academy for supplementary learning. Form study groups to tackle complex problems and solidify understanding of foundational concepts.
Tools & Resources
NPTEL courses, Coursera for engineering math, IISc library resources, Peer study groups
Career Connection
Strong foundational knowledge is crucial for understanding complex mobility systems, enabling advanced research and problem-solving skills vital for future engineering roles.
Develop Practical Sensing & Actuation Skills- (Semester 1-2)
Maximize learning in the Systems Engineering Lab. Get hands-on experience with various sensors, actuators, and embedded systems. Participate in relevant workshops or hackathons to build small-scale mobility-related projects, enhancing practical application.
Tools & Resources
Arduino/Raspberry Pi, MATLAB/Simulink, Local tech workshops, DIY project kits
Career Connection
Direct application of theory in hardware and software design is essential for roles in autonomous systems, IoT, and smart infrastructure development within the Indian tech landscape.
Initiate Research & Networking Early- (Semester 1-2)
Proactively connect with professors for potential mini-projects or literature reviews. Attend department seminars and guest lectures by industry experts. Join student chapters of professional bodies like IEEE ITS Society to expand your network.
Tools & Resources
Research papers and journals, LinkedIn for professional networking, Professional association events, IISc research groups
Career Connection
Builds early research acumen and a professional network, vital for identifying dissertation topics, securing internships, and understanding career opportunities within India''''s mobility R&D ecosystem.
Intermediate Stage
Deep Dive into Specialization Core & Electives- (Semester 3)
Focus intensely on core courses like Autonomous Vehicles, Logistics, and Optimization. Strategically select electives that align with your specific career interests (e.g., ITS, Mobility Data Analytics). Aim for a strong understanding and application in these specialized subjects.
Tools & Resources
Specialized simulation software (SUMO, AnyLogic), Academic journals (e.g., IEEE Transactions on Intelligent Transportation Systems), Mobility-focused academic conferences (e.g., TRAFIC, CoAST)
Career Connection
Develops deep expertise required for specific job roles in smart mobility and logistics, making you a highly specialized and competitive candidate for Indian and global technology companies.
Engage in Industry-Relevant Projects- (Semester 3)
Actively seek out dissertation topics that have direct industrial relevance or aim to solve real-world mobility challenges in India. Consider collaborating with startups or research labs for your project work to gain practical exposure and mentorship.
Tools & Resources
Project mentorship from industry professionals, Industry reports and case studies, Publicly available data from urban transport bodies (e.g., BMTC, Delhi Metro)
Career Connection
Translates theoretical knowledge into practical solutions, demonstrating problem-solving capabilities crucial for R&D, product development, and consulting roles in the Indian market.
Build Data Analytics & Machine Learning Skills for Mobility- (Semester 3)
Beyond coursework, practice applying machine learning and data analytics to mobility-specific datasets (e.g., traffic flow, GPS data, public transport usage). Complete online certifications in Python, R, and specialized ML libraries relevant to mobility.
Tools & Resources
Python (Pandas, Scikit-learn, TensorFlow), R programming language, Kaggle mobility datasets, NPTEL/Coursera courses on Data Science and ML
Career Connection
Equips you with highly sought-after skills for roles in mobility data science, traffic prediction, logistics optimization, and smart city planning in Indian companies and government agencies.
Advanced Stage
Excel in Dissertation & Publication- (Semester 4)
Dedicate significant effort to your M.Tech dissertation. Aim for high-quality research, potentially leading to publications in reputable conferences or journals. Present your work confidently at internal and external forums.
Tools & Resources
Research supervisor guidance and feedback, Academic writing tools (e.g., LaTeX), Access to research databases (e.g., Scopus, Web of Science), Conference presentation workshops
Career Connection
A strong dissertation demonstrates independent research capabilities, critical thinking, and communication skills, vital for R&D positions, academic careers, or further doctoral studies in India and abroad.
Intensive Placement Preparation- (Semester 4)
Participate actively in IISc''''s placement cell activities. Tailor your resume and portfolio to highlight mobility-specific projects and skills. Practice technical and HR interviews extensively, focusing on case studies relevant to Indian mobility challenges and industry trends.
Tools & Resources
IISc Placement Cell resources and workshops, Mock interview sessions, Company-specific preparation materials, Online coding platforms
Career Connection
Maximizes your chances of securing top placements in leading automotive, logistics, technology, and consulting companies, both Indian and multinational, operating in India.
Cultivate Leadership & Professional Ethics- (Semester 4)
Take on leadership roles in student clubs, project teams, or departmental initiatives. Develop strong communication, collaboration, and project management skills. Understand and critically analyze the ethical implications of smart mobility technologies, particularly within the Indian societal context.
Tools & Resources
Leadership development workshops, Project management tools (e.g., Trello, Asana), Case studies on ethical AI and data privacy in mobility, Mentorship from senior students/alumni
Career Connection
Prepares you for leadership responsibilities in your professional career, ensuring you contribute responsibly and effectively to the evolving and complex Indian mobility landscape.
Program Structure and Curriculum
Eligibility:
- Bachelor''''s degree in Engineering/Technology (Mechanical, Electrical, Electronics & Communication, Computer Science, Civil, Aerospace, Industrial, Production) or Master''''s degree in Science (Physics, Mathematics, Electronics, Computer Science, Statistics, Operations Research) with a valid GATE score (ME/EE/EC/CS/CE/AE/IN/PI/MA/PH).
Duration: 4 semesters / 2 years
Credits: 72 (as per program guidelines, actual sum from scheme of study is 62 credits using L+T+P/2 rule) Credits
Assessment: Internal: Continuous Assessment (quizzes, assignments, mid-semester examination, projects), External: Final Examination
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ME 201 | Engineering Mathematics | Core (Common) | 4 | Linear Algebra, Vector Calculus, Ordinary Differential Equations, Partial Differential Equations, Fourier Series and Transforms, Numerical Methods |
| ME 202 | Fundamentals of Engineering Design | Core (Common) | 4 | Design Process and Methodology, Product Specification and Conceptual Design, Material and Manufacturing Process Selection, Engineering Mechanics, Machine Elements and Systems, Computer-Aided Design (CAD) |
| ME 203 | Fundamentals of Sensing and Actuation | Core (Common) | 4 | Sensors and Transducers, Actuators and Control Elements, Signal Conditioning and Processing, Microcontrollers and Embedded Systems, Data Acquisition and Interfacing, System Modeling and Control |
| ME 204 | Probability, Statistics and Data Analysis | Core (Common) | 4 | Probability Theory and Distributions, Random Variables and Stochastic Processes, Statistical Inference and Hypothesis Testing, Regression Analysis and ANOVA, Time Series Analysis, Data Visualization and Interpretation |
| ME 205 | Research Methodology | Core (Common) | 2 | Research Problem Formulation, Literature Review and Citation, Experimental Design and Data Collection, Data Analysis and Interpretation, Technical Writing and Presentation, Ethics and Plagiarism in Research |
| ME 290 | Systems Engineering Lab | Lab (Common) | 2 | System Modeling and Simulation, Control System Design and Implementation, Sensor Integration and Data Logging, Actuator Control and Feedback Systems, Embedded Systems Programming, Real-time System Development |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ME 211 | Dynamics of Mobile Systems | Core (Specialization) | 3 | Vehicle Dynamics Principles, Kinematics and Kinetics of Vehicles, Suspension Systems and Ride Comfort, Tire Models and Grip Characteristics, Braking Systems and Performance, Vehicle Stability and Control |
| ME 212 | Autonomous Vehicle and Robotics | Core (Specialization) | 3 | Robotics Fundamentals, Perception Systems (Lidar, Radar, Camera), Localization and Mapping (SLAM), Path Planning and Trajectory Generation, Control Systems for Autonomous Driving, Artificial Intelligence in Robotics |
| ME 213 | Logistics and Supply Chain Systems | Core (Specialization) | 3 | Supply Chain Management Concepts, Logistics Operations and Network Design, Inventory Management and Control, Transportation Networks and Routing, Warehousing and Distribution Systems, Global Supply Chain Strategies |
| ME 214 | Optimization and Decision Making in Mobility Systems | Core (Specialization) | 3 | Linear and Integer Programming, Network Optimization Problems, Dynamic Programming and Heuristics, Simulation and Modeling, Decision Support Systems, Game Theory in Mobility Applications |
| SML Elective 1 | Elective from SML Stream | Elective | 3 | |
| SML Elective 2 | Elective from SML Stream | Elective | 3 | |
| ME 299 | Dissertation | Project | 3 | Problem Identification and Literature Review, Methodology Development, Initial Experimentation/Simulation, Project Planning and Management |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| SML Elective 3 | Elective from SML Stream | Elective | 3 | |
| SML Elective 4 | Elective from SML Stream | Elective | 3 | |
| ME 299 | Dissertation | Project | 9 | Data Collection and Analysis, Advanced Experimentation/Simulation, Model Refinement and Validation, Mid-term Presentation and Report |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ME 299 | Dissertation | Project | 6 | Final Results and Discussion, Thesis Writing and Documentation, Concluding Remarks and Future Work, Final Defense and Viva Voce |
