M-TECH in Engineering Management at Manipal Academy of Higher Education
Udupi, Karnataka
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About the Specialization
What is Engineering Management at Manipal Academy of Higher Education Udupi?
This Engineering Management program at Manipal Academy of Higher Education focuses on integrating engineering principles with management practices, preparing professionals to lead technical teams and complex projects. It addresses the growing need in Indian industries for engineers who can navigate business challenges, optimize operations, and drive innovation. The program is designed to bridge the gap between technical expertise and strategic leadership, a critical differentiator in today''''s competitive market, meeting the high demand for managers with a strong engineering foundation.
Who Should Apply?
This program is ideal for engineering graduates from any discipline seeking to transition into management roles, fresh graduates aspiring to lead technical projects, and working professionals looking to upskill and enhance their leadership capabilities within an engineering context. It caters to individuals aiming for roles such as project managers, operations managers, and technical consultants, providing them with the necessary managerial acumen without losing their technical edge.
Why Choose This Course?
Graduates of this program can expect diverse career paths in Indian manufacturing, IT, and service sectors, including roles like Technical Project Manager, Operations Head, Quality Assurance Manager, or Supply Chain Strategist. Entry-level salaries typically range from INR 6-10 LPA, with experienced professionals earning significantly more. The program fosters growth trajectories into senior leadership positions, and its curriculum often aligns with certifications like PMP, Six Sigma, and Lean, enhancing professional value.
Student Success Practices
Foundation Stage
Master Core Management and Engineering Fundamentals- (undefined)
Dedicate time to thoroughly understand foundational subjects like Advanced Engineering Mathematics, Operations Management, and Manufacturing Processes. Form study groups and actively engage in problem-solving sessions to solidify conceptual knowledge. This strong base is crucial for tackling advanced topics and real-world challenges.
Tools & Resources
Textbooks, Lecture notes, MAHE''''s digital learning platform, Peer study groups
Career Connection
A robust understanding of fundamentals provides the analytical and quantitative skills highly valued in engineering management roles, setting a strong base for future project and operational decision-making.
Develop Strong Research and Analytical Skills- (undefined)
Focus on excelling in Research Methodology during the first year. Practice data collection, statistical analysis, and technical report writing. Utilize library resources and academic databases to stay updated on research trends. These skills are fundamental for dissertation work and data-driven decision-making in industry.
Tools & Resources
SPSS, R, Excel for data analysis, MAHE library resources, IEEE Xplore, Scopus
Career Connection
Proficiency in research and analytics is critical for market analysis, process improvement, and strategic planning, directly impacting career progression in data-intensive management roles.
Engage in Early Industry Exposure and Networking- (undefined)
Actively participate in workshops, seminars, and guest lectures organized by the department or industry bodies. Seek out opportunities for short-term projects or internships during semester breaks. Start building a professional network with faculty, alumni, and industry professionals.
Tools & Resources
LinkedIn, Industry association events, MAHE career fairs, Departmental workshops
Career Connection
Early exposure helps align academic learning with industry expectations, opens doors for internships, and builds a valuable network for future job opportunities and collaborations.
Intermediate Stage
Strategic Selection of Electives for Career Alignment- (undefined)
Carefully choose electives such as Project Management, Supply Chain Management, or Industry 4.0 based on your career interests and industry demand. Deep dive into these chosen areas through additional online courses or certifications. This specialization will differentiate your profile.
Tools & Resources
Coursera, edX, NPTEL, Professional certification bodies (e.g., PMI, ASQ)
Career Connection
Specialized knowledge gained from electives makes you a more targeted and attractive candidate for specific roles, demonstrating expertise in high-demand areas of engineering management.
Deep Dive into Dissertation Phase I- (undefined)
Treat Dissertation Phase I as an opportunity for in-depth research. Choose a relevant and impactful research problem, conduct a thorough literature review, and design a robust methodology. Regular consultations with your supervisor are key to successful progress and shaping your final project.
Tools & Resources
Academic journals, Research papers, EndNote/Mendeley for referencing, Supervisor meetings
Career Connection
A well-executed dissertation showcases your ability to conduct independent research, solve complex problems, and contribute original insights, essential for innovation and R&D focused roles.
Participate in Industry Workshops and Competitions- (undefined)
Seek out and actively participate in industry-sponsored workshops, case study competitions, and hackathons. These platforms offer practical application of knowledge, problem-solving under pressure, and valuable networking with industry leaders. Such experiences enhance your resume and practical skills.
Tools & Resources
Industry association websites, Company career portals, MAHE''''s innovation center
Career Connection
Winning or participating in competitions demonstrates initiative, teamwork, and problem-solving abilities, which are highly valued by recruiters and boost your employability.
Advanced Stage
Excellence in Dissertation Phase II for Impactful Research- (undefined)
Focus on the meticulous execution of your dissertation, including data analysis, robust experimentation, and articulate presentation of results. Ensure your thesis is well-written, thoroughly reviewed, and aligns with academic standards. Prepare comprehensively for your final defense.
Tools & Resources
Statistical software, Simulation tools, LaTeX/Word for thesis writing, Presentation software
Career Connection
A high-quality dissertation is a strong testament to your analytical, research, and technical writing skills, often serving as a significant talking point in job interviews and showcasing your capability for advanced problem-solving.
Proactive Placement Preparation and Interview Skills- (undefined)
Begin placement preparation early by attending career counseling sessions, mock interviews, and resume-building workshops. Practice technical, aptitude, and HR interview questions. Tailor your resume and cover letters to specific job descriptions.
Tools & Resources
MAHE Career Development Centre, Online interview platforms, Aptitude test prep materials, Mentors
Career Connection
Thorough preparation ensures you are confident and articulate during the placement process, maximizing your chances of securing a desirable job offer in a top company.
Building a Professional Network and Personal Brand- (undefined)
Leverage your final semester to solidify your professional network with peers, alumni, and faculty. Actively engage on platforms like LinkedIn, showcasing your skills, projects, and research. Consider publishing a research paper based on your dissertation to enhance your academic and professional profile.
Tools & Resources
LinkedIn, Professional conferences, Alumni network platforms, Research publication platforms
Career Connection
A strong professional network can lead to referrals, mentorship, and future career opportunities. A well-built personal brand distinguishes you in the job market and positions you as an expert in your field.
Program Structure and Curriculum
Eligibility:
- B.E/B.Tech (Any discipline), M.Sc. (Physics/Mathematics/Statistics) with 50% aggregate marks
Duration: 2 years / 4 semesters
Credits: 64 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MEM 5101 | Advanced Engineering Mathematics | Core | 4 | Linear Algebra and Matrices, Calculus of Variations, Probability and Statistics, Numerical Methods, Optimization Techniques |
| MEM 5102 | Management Principles and Practices | Core | 4 | Fundamentals of Management, Organizational Behavior, Human Resource Management, Strategic Management, Managerial Economics |
| MEM 5103 | Operations Management | Core | 4 | Production Planning and Control, Inventory Management, Quality Management Systems, Supply Chain Optimization, Process Layout and Location Analysis |
| MEM 5104 | Manufacturing Processes and Systems | Core | 4 | Conventional Machining Processes, Advanced Manufacturing Technologies, Automation and Robotics, Additive Manufacturing, Manufacturing System Design |
| MEM 5105 | Research Methodology | Core | 4 | Research Design and Problem Formulation, Data Collection and Sampling, Statistical Analysis Techniques, Hypothesis Testing, Technical Report Writing and Ethics |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MEM 5201 | Quality Engineering and Management | Core | 4 | Total Quality Management (TQM), Statistical Process Control (SPC), Six Sigma Methodology, Lean Management Principles, Quality Standards and Certifications (ISO) |
| MEM 5202 | Financial Management | Core | 4 | Financial Accounting Principles, Capital Budgeting Decisions, Working Capital Management, Cost Analysis and Control, Financial Performance Analysis |
| MEM 5203 | Product Design and Development | Core | 4 | Product Life Cycle Management, Design Thinking Process, Market Analysis and Product Specification, Prototyping and Testing, Intellectual Property Rights and Commercialization |
| MEM 5241 | Project Management | Elective | 4 | Project Planning and Scheduling, Resource Management, Project Risk Management, Monitoring and Control, Project Closure and Evaluation |
| MEM 5242 | Industrial Automation | Elective | 4 | Control Systems and Sensors, Programmable Logic Controllers (PLCs), SCADA Systems, Industrial Robotics, Automation Architectures |
| MEM 5243 | Supply Chain Management | Elective | 4 | Supply Chain Strategy and Design, Demand Forecasting and Planning, Logistics and Transportation, Inventory Optimization, Global Supply Chain Management |
| MEM 5244 | Logistics Management | Elective | 4 | Logistics Planning and Operations, Warehousing and Inventory, Transportation Management, Reverse Logistics, Information Technology in Logistics |
| MEM 5245 | Data Analytics for Engineering Managers | Elective | 4 | Data Collection and Preprocessing, Descriptive and Predictive Analytics, Machine Learning Algorithms, Data Visualization, Business Intelligence Tools |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MEM 6101 | Industrial Engineering and Ergonomics | Core | 4 | Work Study and Method Study, Time Study and Work Measurement, Plant Layout and Material Handling, Ergonomics Design Principles, Human Factors in System Design |
| MEM 6141 | Agile Project Management | Elective | 4 | Agile Principles and Mindset, Scrum Framework and Roles, Kanban Method, Lean Product Development, Scaling Agile Practices |
| MEM 6142 | Industry 4.0 | Elective | 4 | Cyber-Physical Systems (CPS), Internet of Things (IoT) in Manufacturing, Big Data Analytics for Industry, Cloud Manufacturing, Additive Manufacturing |
| MEM 6143 | Innovation and Entrepreneurship | Elective | 4 | Sources of Innovation, Design Thinking for Innovation, Business Model Canvas, Startup Ecosystem in India, Funding and Venture Capital |
| MEM 6144 | Business Intelligence | Elective | 4 | Data Warehousing Concepts, ETL Processes, Data Mining Techniques, Reporting and Dashboarding, Decision Support Systems |
| MEM 6199 | Dissertation (Phase I) | Project Work | 8 | Literature Review and Research Gap Identification, Problem Formulation and Objectives, Methodology Design, Preliminary Data Collection/Simulation Setup, Report Writing and Presentation |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MEM 6299 | Dissertation (Phase II) | Project Work | 18 | Data Analysis and Interpretation, Solution Implementation and Validation, Result Discussion and Comparison, Thesis Writing and Formatting, Final Dissertation Defense |