

M-TECH in Industrial Engineering at HUKUM CHAND NOBLE INSTITUTE OF SCIENCE & TECHNOLOGY


Ajmer, Rajasthan
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About the Specialization
What is Industrial Engineering at HUKUM CHAND NOBLE INSTITUTE OF SCIENCE & TECHNOLOGY Ajmer?
This Industrial Engineering program at HUKUM CHAND NOBLE INSTITUTE OF SCIENCE AND TECHNOLOGY, affiliated with Rajasthan Technical University, focuses on optimizing complex systems, processes, and organizations. In the rapidly evolving Indian industrial landscape, it''''s crucial for businesses to enhance efficiency, reduce costs, and improve quality. This program equips students with analytical tools and techniques to design, implement, and manage integrated systems of people, materials, information, equipment, and energy. It aims to develop professionals who can drive productivity and innovation across various sectors.
Who Should Apply?
This program is ideal for engineering graduates, especially from Mechanical, Production, and Industrial Engineering backgrounds, seeking to specialize in operational excellence and systems optimization. It also caters to working professionals in manufacturing, logistics, IT, and service industries who aspire to leadership roles in process improvement, supply chain management, and quality assurance. Candidates with a strong quantitative aptitude and a desire to solve real-world industrial challenges will find this specialization particularly rewarding.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding career paths in India as Process Engineers, Operations Managers, Supply Chain Analysts, Quality Managers, and Management Consultants. Entry-level salaries typically range from INR 4-7 lakhs per annum, with experienced professionals earning INR 10-25 lakhs or more depending on industry and expertise. The program aligns with industry demands for certified professionals in Lean, Six Sigma, and Project Management, offering a strong foundation for professional growth in Indian manufacturing and service sectors.

Student Success Practices
Foundation Stage
Build Strong Analytical & Mathematical Foundations- (Semester 1-2)
Focus intensely on core subjects like Advanced Engineering Mathematics and Advanced Operations Research. Utilize online platforms for problem-solving and conceptual clarity.
Tools & Resources
NPTEL courses on Operations Research, Coursera for Statistical Analysis, Solved problems from standard textbooks
Career Connection
Strong analytical skills are crucial for data-driven decision making, a core competency for Industrial Engineers in roles like analysts and consultants.
Master Core Industrial Engineering Tools- (Semester 1-2)
Gain hands-on proficiency in software tools for CAD/CAM, simulation (e.g., Arena, FlexSim), and statistical analysis (e.g., Minitab, R, Python libraries). Apply these in lab sessions and mini-projects.
Tools & Resources
AutoCAD, SolidWorks, Siemens NX, Arena Simulation Software, Minitab, Python
Career Connection
Practical software skills are highly valued by Indian industries for design, process simulation, and quality control roles, significantly enhancing employability.
Cultivate Research Aptitude Early- (Semester 1-2)
Actively participate in seminars and preliminary dissertation work. Develop effective literature review skills and identify potential research areas of interest.
Tools & Resources
IEEE Xplore, Scopus, Google Scholar, Mendeley/Zotero
Career Connection
This builds a foundation for advanced dissertation work and prepares students for R&D roles or academic pursuits, while improving technical communication vital for professional reports.
Intermediate Stage
Strategic Specialization through Electives- (Semester 3)
Carefully select Elective-III and Elective-IV subjects that align with specific career interests (e.g., Lean Manufacturing, Supply Chain Analytics). Deep dive into these areas.
Tools & Resources
Industry reports, Professional body websites (e.g., APICS), Discussions with faculty and industry mentors
Career Connection
This focused learning helps build expertise in high-demand areas, making graduates highly desirable for specialized roles in Indian industries.
Initiate Dissertation with Industry Relevance- (Semester 3)
Begin Dissertation Part 1 by identifying a research problem with practical implications for Indian industries. Gather real-world data or conduct case studies.
Tools & Resources
Access to university labs, Industry contacts for data collection, Academic journals for methodology
Career Connection
A dissertation rooted in industry relevance showcases problem-solving skills and a practical approach, appealing to potential employers in India.
Network and Explore Internship Opportunities- (Semester 3)
Actively network with professionals in target industries through workshops and seminars. Seek out and apply for internships to gain practical exposure.
Tools & Resources
LinkedIn, Industry association events (e.g., CII, FICCI), College career fairs
Career Connection
Internships provide invaluable real-world experience, often leading to pre-placement offers, and expand professional contacts critical for career growth in India.
Advanced Stage
Deliver a High-Quality Dissertation- (Semester 4)
Conclude Dissertation Part 2 with robust analysis, clear findings, and well-articulated conclusions. Aim for a publication or patent where feasible.
Tools & Resources
Thesis writing software, Statistical analysis tools, Academic proofreading services
Career Connection
A well-executed dissertation is a strong resume builder, demonstrating advanced research and problem-solving skills, and can differentiate candidates in competitive job markets.
Rigorous Placement Preparation- (Semester 4)
Dedicate time to refine resumes, practice technical and HR interviews, and prepare for aptitude tests relevant to industrial engineering roles.
Tools & Resources
Online aptitude platforms (e.g., IndiaBix), Interview preparation guides, Mock interview sessions organized by the placement cell
Career Connection
Thorough preparation is key to converting interviews into job offers, ensuring successful placement in desired companies across India.
Professional Development and Continuous Learning- (Semester 4)
Identify and pursue advanced online courses or workshops in emerging areas of Industrial Engineering (e.g., Industry 4.0, Digital Supply Chains). Start building a professional portfolio.
Tools & Resources
NPTEL advanced courses, Certifications from reputable bodies, Personal project repositories (e.g., GitHub)
Career Connection
Continuous skill development keeps graduates competitive and adaptable to the evolving needs of Indian industries, fostering long-term career growth.
Program Structure and Curriculum
Eligibility:
- B.E./B.Tech. in Mechanical/Production/Industrial Engineering or equivalent with valid GATE score or as per RTU/AICTE norms.
Duration: 4 semesters (2 years)
Credits: 72 Credits
Assessment: Internal: As per standard RTU norms, External: As per standard RTU norms
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MIE101 | Advanced Engineering Mathematics | Core | 4 | Probability Distributions, Statistical Inference, Queuing Models, Linear Programming, Dynamic Programming, Numerical Optimization |
| MIE102 | Advanced Manufacturing Processes | Core | 4 | Non-conventional machining, Rapid Prototyping, Additive Manufacturing, Advanced Welding, Surface Modification |
| MIE103 | Advanced Work System Design | Core | 4 | Method Study, Work Measurement, Motion Economy, Ergonomics, Work Design |
| MIE104 | Elective-I | Elective | 4 | Supply Chain Strategy, Demand Forecasting, Inventory Management, Logistics, Project Life Cycle, TQM Tools & SPC |
| MIE105 | Research Methodology | Core | 3 | Research Design, Data Collection Methods, Statistical Analysis, Hypothesis Testing, Report Writing, Research Ethics |
| MIE106 | Computer Aided Manufacturing Lab | Lab | 2 | CAM Software Applications, CNC Programming, Tool Path Generation, Machining Simulation, CAD/CAM Integration |
| MIE107 | Seminar | Seminar | 3 | Literature Review, Topic Selection, Technical Presentation, Report Preparation, Scientific Communication |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MIE201 | Advanced Operations Research | Core | 4 | Non-linear Programming, Integer Programming, Goal Programming, Simulation, Game Theory, Markov Chains |
| MIE202 | Facilities Planning and Design | Core | 4 | Plant Location Models, Facility Layout Types, Material Handling Systems, Storage Systems, Ergonomic Layout |
| MIE203 | Product Design and Development | Core | 4 | Product Life Cycle, Design Process, Concept Generation, Design for Manufacturability, Concurrent Engineering |
| MIE204 | Elective-II | Elective | 4 | Quality Function Deployment, Robust Design, Design of Experiments, Reliability Models, Logistics Management, Warehousing |
| MIE205 | Technical Communication and Research Paper Writing | Core | 3 | Scientific Writing Principles, Research Paper Structure, Grant Proposal Writing, Patent Documentation, Oral Presentations |
| MIE206 | Computer Integrated Manufacturing Lab | Lab | 2 | CIM System Architecture, FMS Concepts, Robotics Programming, Automated Inspection, AGVs |
| MIE207 | Dissertation Preliminary | Project | 3 | Problem Statement, Literature Survey, Research Objectives, Methodology Planning, Timeline Development |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MIE301 | Elective-III | Elective | 4 | Data Analytics Tools, Forecasting Models, Biomechanics, Anthropometry, TPM, Condition Monitoring |
| MIE302 | Elective-IV | Elective | 4 | Value Stream Mapping, JIT, FMS Architecture, Robotics in FMS, Hazard Identification, Risk Assessment |
| MIE303 | Dissertation Part 1 | Project | 4 | In-depth Literature Review, Data Collection, Experimental Setup Design, Initial Data Analysis |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MIE401 | Dissertation Part 2 | Project | 12 | Advanced Data Analysis, Result Interpretation, Conclusion Drawing, Thesis Writing, Research Publication, Viva Voce |




