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B-TECH-HONS in Industrial And Systems Engineering at Indian Institute of Technology Kharagpur
Paschim Medinipur, West Bengal
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About the Specialization
What is Industrial and Systems Engineering at Indian Institute of Technology Kharagpur Paschim Medinipur?
This Industrial and Systems Engineering program at IIT Kharagpur focuses on optimizing complex systems involving people, technology, and information. It is highly relevant in the Indian industry, where efficiency and productivity are crucial for manufacturing, services, and logistics sectors. The program''''s strength lies in its interdisciplinary approach, blending engineering, management, and data science to tackle real-world challenges comprehensively.
Who Should Apply?
This program is ideal for fresh graduates with a strong analytical bent and a passion for problem-solving in an industrial context. It also suits working professionals looking to transition into managerial or consulting roles focused on operational excellence. Those with a background in mathematics, science, or other engineering disciplines aspiring to optimize business processes will find this specialization highly rewarding and career-enhancing.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including roles as operations analysts, supply chain managers, data scientists, and process improvement consultants. Entry-level salaries typically range from INR 8-15 LPA, growing significantly with experience across various sectors. Opportunities exist in manufacturing, IT, logistics, healthcare, and e-commerce, aligning with professional certifications like Six Sigma or Lean.
Student Success Practices
Foundation Stage
Master Core Engineering & Math- (Semester 1-2)
Focus intently on building a strong foundation in core subjects like calculus, physics, programming, and basic electrical engineering. Utilize resources such as NPTEL lectures, standard textbooks, and online problem-solving platforms like CodeChef or HackerRank to solidify understanding and practice numerical skills. A strong grasp of these fundamentals is paramount for all subsequent industrial and systems engineering coursework.
Tools & Resources
NPTEL, Khan Academy, Standard Textbooks (e.g., NCERT, foreign authors), CodeChef, HackerRank
Career Connection
A robust foundation ensures better comprehension of advanced topics, aids in competitive exams like GATE, and demonstrates analytical capability, which is highly valued by recruiters for technical roles.
Develop Problem-Solving Acumen- (Semester 1-2)
Actively participate in all laboratory sessions and engage in problem-solving activities beyond classroom assignments. Join relevant student clubs (e.g., coding, robotics, or innovation clubs) to apply theoretical knowledge to practical, hands-on challenges. This early and continuous exposure to diverse problem sets helps in developing critical thinking and structured problem-solving skills, crucial for industrial engineering.
Tools & Resources
Laboratory manuals and experiments, Student technical clubs at IIT KGP, Online competitive programming platforms
Career Connection
Enhanced problem-solving skills are essential for tackling complex industrial challenges, making graduates attractive to companies seeking innovative and efficient solutions in operations and systems.
Cultivate Effective Study Habits- (Semester 1-2)
Form collaborative study groups with peers to discuss concepts, clarify doubts, and prepare for examinations. Practice time management techniques and learn to prioritize tasks effectively, using academic planners or digital tools. Leverage IIT Kharagpur''''s extensive central library and departmental resources for supplementary reading and research, ensuring a holistic understanding of subjects.
Tools & Resources
Study groups, Academic planners/Google Calendar, IIT KGP Central Library, Departmental resources and faculty office hours
Career Connection
Strong academic performance and disciplined study habits contribute to a higher CGPA, which opens doors to better internship opportunities, advanced studies, and competitive placements in leading companies.
Intermediate Stage
Engage with Domain-Specific Projects- (Semester 3-5)
Actively seek out faculty-mentored projects or mini-projects in areas like Operations Research, Data Analytics, or Quality Engineering. Utilize software tools such as R, Python for statistical analysis, and simulation platforms like Arena or AnyLogic to gain practical experience in modeling and optimization. These projects are vital for building a specialized skill portfolio.
Tools & Resources
R/Python (with libraries like Pandas, NumPy, Scikit-learn), Arena Simulation Software, AnyLogic, Faculty research labs
Career Connection
Practical project experience with relevant tools demonstrates hands-on skills to recruiters, making candidates more competitive for roles in operations, analytics, and process improvement.
Pursue Industry Internships- (Semester 3-5)
Proactively apply for summer internships at manufacturing plants, logistics and supply chain companies, or management consulting firms across India. Network with IIT KGP alumni in your target industries and leverage the institute''''s career development center for guidance. Practical exposure during internships offers invaluable insights into real-world industrial challenges and helps build a professional network.
Tools & Resources
IIT KGP Career Development Centre (CDC), LinkedIn for alumni networking, Internship portals (e.g., Internshala, company career pages)
Career Connection
Internships provide crucial industry exposure, help clarify career interests, and significantly enhance employability by converting theoretical knowledge into practical skills, often leading to pre-placement offers.
Participate in Technical Competitions- (Semester 3-5)
Join and actively participate in industrial engineering, supply chain, or analytics-focused competitions organized by student societies (like OpSoc at IIT KGP), industry bodies, or other universities. These platforms allow you to apply classroom knowledge to complex case studies, develop teamwork skills, and gain recognition, which adds significant value to your resume and helps in honing problem-solving under pressure.
Tools & Resources
OpSoc (Operations Society) at IIT KGP, Inter-collegiate technical fests, Online case study challenges
Career Connection
Participation in competitions demonstrates initiative, practical application of knowledge, and competitive spirit, all highly sought-after attributes by top-tier consulting, analytics, and operations firms.
Advanced Stage
Specialize through Electives & Research- (Semester 6-8)
Carefully select departmental and open electives that align with your specific career interests, such as Advanced Supply Chain Management, Financial Engineering, or AI in Operations. Consider undertaking a significant research project under a faculty mentor to delve deeper into a niche area, potentially leading to publications or advanced insights. Specialization builds deep expertise, critical for leadership roles.
Tools & Resources
IIT KGP Course Bulletin for electives, Faculty research pages, Research databases (e.g., IEEE Xplore, Scopus), Academic conferences
Career Connection
Focused specialization enhances your profile for targeted roles in niche industries or for pursuing higher studies (M.Tech/PhD) and research positions, offering a distinct competitive advantage.
Intensive Placement Preparation- (Semester 6-8)
Focus on developing robust interview skills, crafting compelling resumes and cover letters tailored to specific roles, and practicing case study preparation relevant to industrial and systems engineering. Utilize the institute''''s placement cell resources extensively, attend mock interviews, and practice aptitude tests diligently. Targeted preparation is crucial for securing top placements.
Tools & Resources
IIT KGP Placement Cell workshops and resources, Online aptitude test platforms (e.g., IndiaBix), Interview preparation guides and mock interviews, Company-specific case studies
Career Connection
Thorough placement preparation significantly increases your chances of securing high-paying positions in leading Indian and multinational companies like Accenture, Deloitte, PwC, or major manufacturing and logistics firms.
Network and Professional Development- (undefined)
Attend seminars, workshops, and industry conferences (e.g., those organized by the IEOM Society or CII) to stay updated on the latest industry trends and expand your professional network with experts and potential employers. Consider pursuing professional certifications like Lean Six Sigma Green/Black Belt to add practical, industry-recognized qualifications. Continuous learning and networking are vital for long-term career growth in the dynamic Indian industrial landscape.
Tools & Resources
Industry conferences and trade shows, LinkedIn for professional networking, Certification bodies (e.g., ASQ for Six Sigma), Alumni mentorship programs
Career Connection
A strong professional network and relevant certifications open doors to mentorship, new opportunities, and demonstrate a commitment to continuous professional development, crucial for career progression and leadership roles.
Program Structure and Curriculum
Eligibility:
- Successful completion of 10+2 with Physics, Chemistry, and Mathematics, followed by qualifying JEE Advanced examination.
Duration: 4 years / 8 semesters
Credits: 185 Credits
Assessment: Internal: Continuous evaluation (quizzes, assignments, mid-semester exams), External: End-semester examinations (weightage varies per course, typically 40-50% internal, 50-60% external)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA10001 | Mathematics I | Core | 4 | Calculus of one variable, Sequences and series, Functions of several variables, Partial differentiation, Vector calculus, Matrices and determinants |
| PH10003 | Physics I | Core | 4 | Classical Mechanics, Oscillations and Waves, Optics, Electromagnetism, Relativity |
| CS10001 | Programming and Data Structures | Core | 3 | Programming Fundamentals (C/C++), Control Flow, Arrays and Pointers, Functions, Basic Data Structures (Lists, Stacks, Queues), Sorting and Searching Algorithms |
| EE10001 | Basic Electrical Engineering | Core | 4 | DC and AC circuits, Network theorems, Single-phase and three-phase systems, Transformers, DC machines, AC machines |
| ME10001 | Engineering Drawing & Computer Graphics | Core | 3 | Orthographic projections, Isometric views, Sectional views, AutoCAD basics, Machine drawing conventions, Assembly drawing |
| HS10001 | Technical English | Core | 3 | Technical communication skills, Report writing, Presentation skills, Business correspondence, Grammar and vocabulary, Reading comprehension |
| CS19001 | Programming & Data Structures Lab | Lab | 2 | C/C++ programming exercises, Implementation of data structures, Debugging techniques, Algorithm design and analysis |
| EE19001 | Basic Electrical Engineering Lab | Lab | 2 | Circuit analysis experiments, Verification of network theorems, Measurement of electrical parameters, Study of electrical machines |
| PH19003 | Physics Lab | Lab | 2 | Experiments in mechanics, Optics measurements, Electrical circuit experiments, Magnetic field experiments |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA10002 | Mathematics II | Core | 4 | Ordinary differential equations, Laplace transforms, Fourier series, Partial differential equations, Complex analysis, Probability basics |
| CH10001 | Chemistry | Core | 4 | Quantum chemistry, Spectroscopy, Electrochemistry, Reaction kinetics, Polymer chemistry, Materials science |
| ME10002 | Mechanics | Core | 4 | Statics of particles and rigid bodies, Equilibrium analysis, Friction, Dynamics of particles, Work-energy principle, Impulse and momentum |
| EV10001 | Environmental Science | Core | 2 | Ecosystems, Biodiversity, Pollution (air, water, soil), Climate change, Waste management, Sustainable development |
| BT10001 | Life Science | Core | 2 | Basic cell biology, Genetics and heredity, Human physiology, Biotechnology principles, Microbiology, Ecology and evolution |
| EC10001 | Introduction to Electronics | Core | 3 | Semiconductor diodes, Transistors (BJT, FET), Amplifiers, Operational amplifiers, Digital logic gates, Basic communication systems |
| CH19001 | Chemistry Lab | Lab | 2 | Volumetric analysis, Gravimetric analysis, Chemical kinetics experiments, Synthesis of organic compounds |
| EC19001 | Introduction to Electronics Lab | Lab | 2 | Diode characteristics, Transistor biasing, Amplifier circuits, Logic gate verification, Analog-to-digital conversion |
| ME19001 | Workshop Practice | Lab | 2 | Carpentry, Fitting, Welding, Foundry, Machining operations, Sheet metal work |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA20003 | Probability & Stochastic Processes | Core | 4 | Probability axioms, Random variables, Probability distributions, Stochastic processes, Markov chains, Queuing theory basics |
| ME20003 | Engineering Thermodynamics | Core | 4 | Thermodynamic systems, Laws of thermodynamics, Entropy, Thermodynamic cycles, Properties of pure substances, Heat engines and refrigerators |
| IE20001 | Engineering Economy | Core | 3 | Time value of money, Cost estimation, Discounted cash flow, Capital budgeting, Break-even analysis, Depreciation and taxes |
| CS20002 | Discrete Structures | Core | 4 | Set theory and logic, Relations and functions, Combinatorics and counting, Graph theory, Boolean algebra, Recurrence relations |
| IE29003 | Probability & Stochastic Processes Lab | Lab | 2 | Statistical software (R/Python) for probability, Simulation of random processes, Data analysis for distributions, Queuing system simulations |
| HS2xxxx | HSS Elective | Elective | 3 | Economics, Sociology, Psychology, Literature, Ethics, Philosophy |
| OE2xxxx | Open Elective 1 (Free Elective) | Elective | 3 | Interdisciplinary topics, Introduction to other engineering branches, Management studies, Entrepreneurship |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IE20002 | Operations Research I | Core | 4 | Linear Programming (LP), Simplex Method, Duality in LP, Transportation Problem, Assignment Problem, Network Optimization |
| IE20004 | Work System Design | Core | 3 | Method study, Work measurement, Time study, Motion economy, Ergonomics, Job design |
| IE20006 | Manufacturing Processes | Core | 3 | Casting processes, Forming processes, Machining processes, Joining processes, Additive manufacturing, Metrology and inspection |
| MA20002 | Numerical Methods | Core | 3 | Root finding methods, Numerical integration, Interpolation, Numerical solution of ODEs, Linear algebraic equations, Optimization techniques |
| IE29002 | Operations Research Lab | Lab | 2 | LP problem solving using software (e.g., Lingo, Excel Solver), Network flow problems, Decision analysis, Sensitivity analysis |
| IE29004 | Work System Design Lab | Lab | 2 | Time and motion study experiments, Ergonomic assessment tools, Process charting, Work sampling |
| ME29006 | Manufacturing Processes Lab | Lab | 2 | Experiments in casting, Machining operations (turning, milling), Welding practice, Measurement and inspection techniques |
| OE2xxxx | Open Elective 2 (Free Elective) | Elective | 3 | Interdisciplinary topics, Introduction to other engineering branches, Management studies, Entrepreneurship |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IE30001 | Operations Research II | Core | 4 | Integer Programming, Dynamic Programming, Non-linear Programming, Queuing Theory, Inventory Control Models, Game Theory |
| IE30003 | Data Analytics | Core | 3 | Statistical inference, Regression analysis, Hypothesis testing, Time series analysis, Clustering, Classification |
| IE30005 | Quality Engineering & Management | Core | 3 | Statistical Process Control (SPC), Control charts, Acceptance sampling, Total Quality Management (TQM), Six Sigma, Quality Function Deployment (QFD) |
| IE30007 | Human Factors Engineering | Core | 3 | Human perception and attention, Cognitive ergonomics, Workplace design, Human-computer interaction, Safety engineering, Biomechanics |
| IE39001 | Data Analytics Lab | Lab | 2 | Statistical software (R/Python) for data analysis, Implementing regression models, Data visualization, Machine learning algorithms for prediction |
| IE39003 | Quality Engineering Lab | Lab | 2 | Implementing control charts, Design of experiments, Process capability studies, Quality improvement projects |
| IE39005 | Human Factors Engineering Lab | Lab | 2 | Ergonomic assessment techniques, Workstation design experiments, Human performance measurement, Usability testing |
| DE3xxxx | Departmental Elective I | Elective | 3 | Advanced Manufacturing Systems, Decision Making, Financial Engineering, Logistics and Transportation |
| OE3xxxx | Open Elective 3 (Free Elective) | Elective | 3 | Interdisciplinary topics, Advanced computing, Entrepreneurial finance, Arts and humanities |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IE30002 | Supply Chain Management | Core | 3 | Supply chain design, Inventory management in SCM, Logistics and transportation, Sourcing and procurement, Demand forecasting, Supply chain analytics |
| IE30004 | Facilities Design & Material Handling | Core | 3 | Facility location and layout, Material handling systems, Warehouse design, Production flow analysis, Space planning, Lean layouts |
| IE30006 | Simulation Modeling & Analysis | Core | 4 | Discrete event simulation, Random number generation, Input and output analysis, Verification and validation, Simulation software (Arena/AnyLogic), Applications in manufacturing and services |
| IE39002 | Supply Chain Management Lab | Lab | 2 | Supply chain software applications, Logistics network design, Inventory optimization simulations, Forecasting models |
| IE39004 | Simulation Modeling & Analysis Lab | Lab | 2 | Building simulation models with specialized software, Running and analyzing simulation experiments, Model validation techniques |
| IE47000 | Comprehensive Viva Voce | Project/Viva | 3 | Review of core IE concepts, Application of engineering principles, Problem-solving abilities, Communication skills |
| DE3xxxx | Departmental Elective II | Elective | 3 | Advanced Operations Research, Healthcare Systems Engineering, Service Operations Management, Maintenance Engineering |
| DE3xxxx | Departmental Elective III | Elective | 3 | Advanced Machine Learning for IE, Energy Systems Engineering, Revenue Management, Project Management |
| OE3xxxx | Open Elective 4 (Free Elective) | Elective | 3 | Management principles, Data science applications, Environmental engineering, Societal impacts of technology |
| IE48001 | Project Work (Part I) | Project | 3 | Problem identification and definition, Literature review, Methodology development, Preliminary data collection and analysis |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IE40001 | Reliability Engineering | Core | 3 | Reliability fundamentals, Life distributions, System reliability, Maintainability and availability, Failure modes and effects analysis (FMEA), Reliability testing |
| IE40003 | System Dynamics | Core | 3 | Feedback loops, Stock and flow diagrams, Causal loop diagrams, System archetypes, Modeling dynamic systems, Policy design |
| IE49001 | Reliability Engineering Lab | Lab | 2 | Reliability data analysis software, Life testing experiments, Fault tree analysis, Maintenance scheduling simulations |
| DE4xxxx | Departmental Elective IV | Elective | 3 | Robotics and Automation, Advanced Ergonomics, Decision Support Systems, Computational Finance |
| DE4xxxx | Departmental Elective V | Elective | 3 | Digital Manufacturing, Smart Cities Logistics, Sustainable Operations, Big Data Analytics |
| OE4xxxx | Open Elective 5 (Free Elective) | Elective | 3 | Advanced programming, Foreign language, Economics of technology, Design thinking |
| IE48002 | Project Work (Part II) | Project | 5 | Detailed model development, Data analysis and interpretation, Solution implementation and testing, Report writing and presentation |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IE48004 | Project | Project | 6 | Independent research or industry problem solving, Advanced system design and optimization, Comprehensive analysis and reporting, Innovation and real-world application |
| DE4xxxx | Departmental Elective VI | Elective | 3 | AI for Industrial Systems, Internet of Things in Operations, Advanced Robotics, Supply Chain Risk Management |
| OE4xxxx | Open Elective 6 (Free Elective) | Elective | 3 | Entrepreneurship and startup management, Public policy, Cybersecurity basics, Advanced topics in social sciences |
