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Fees
₹12,00,000
Placement
93.0%
Avg Package
₹5,20,000
Highest Package
₹9,50,000
Fees
₹12,00,000
Placement
93.0%
Avg Package
₹5,20,000
Highest Package
₹9,50,000
Seats
120
Students
300
Seats
120
Students
300
The Project Management program at Gurukula Kangri Vishwavidyalaya Haridwar Faculty Of Engineering And Technology follows a meticulously designed curriculum that balances theoretical knowledge with practical application. The 8-semester structure ensures a progressive learning journey from foundational concepts to advanced specializations.
| Year | Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|---|
| First Year | I | EN101 | Engineering Mathematics I | 3-1-0-4 | - |
| EN102 | Basic Electrical Engineering | 3-1-0-4 | - | ||
| EN103 | Introduction to Programming | 3-1-0-4 | - | ||
| EN104 | Engineering Drawing & Graphics | 2-0-0-2 | - | ||
| First Year | II | EN105 | Engineering Mathematics II | 3-1-0-4 | EN101 |
| EN106 | Electronic Devices & Circuits | 3-1-0-4 | - | ||
| EN107 | Data Structures and Algorithms | 3-1-0-4 | EN103 | ||
| EN108 | Communication Skills | 2-0-0-2 | - | ||
| Second Year | III | EN201 | Probability and Statistics | 3-1-0-4 | EN105 |
| EN202 | Signals and Systems | 3-1-0-4 | EN106 | ||
| EN203 | Database Management Systems | 3-1-0-4 | EN107 | ||
| EN204 | Project Planning and Scheduling | 3-1-0-4 | - | ||
| Second Year | IV | EN205 | Linear Algebra and Differential Equations | 3-1-0-4 | EN105 |
| EN206 | Control Systems | 3-1-0-4 | EN202 | ||
| EN207 | Software Engineering | 3-1-0-4 | EN107 | ||
| EN208 | Risk Management | 3-1-0-4 | - | ||
| Third Year | V | EN301 | Quality Assurance and Reliability | 3-1-0-4 | EN205 |
| EN302 | Operations Research | 3-1-0-4 | EN201 | ||
| EN303 | Human Resource Management | 3-1-0-4 | - | ||
| EN304 | Project Finance and Costing | 3-1-0-4 | - | ||
| Third Year | VI | EN305 | Advanced Project Management | 3-1-0-4 | EN208 |
| EN306 | Supply Chain Optimization | 3-1-0-4 | EN301 | ||
| EN307 | Digital Transformation in Projects | 3-1-0-4 | - | ||
| EN308 | Leadership in Engineering Environments | 3-1-0-4 | - | ||
| Fourth Year | VII | EN401 | Research Methodology | 2-0-0-2 | - |
| EN402 | Mini Project I | 2-0-0-2 | - | ||
| EN403 | Mini Project II | 2-0-0-2 | - | ||
| EN404 | Capstone Project | 6-0-0-6 | - | ||
| Fourth Year | VIII | EN405 | Internship | 12-0-0-12 | - |
| EN406 | Advanced Topics in Project Management | 3-1-0-4 | - | ||
| EN407 | Capstone Thesis | 6-0-0-6 | - | ||
| EN408 | Project Portfolio Management | 3-1-0-4 | - |
The department offers several advanced elective courses that allow students to specialize in niche areas and gain deeper insights into project management practices. These courses are designed to be highly interactive, incorporating case studies, simulations, and real-world applications.
This course explores how AI techniques can enhance decision-making processes within complex projects. Students learn to implement machine learning models for predictive analytics, automated risk assessment, and resource optimization. The course includes hands-on workshops using Python-based frameworks like TensorFlow and Scikit-Learn.
This elective delves into the potential of blockchain technology to streamline project documentation, enhance transparency, and reduce fraud in supply chain management. Students work on practical projects involving smart contracts and distributed ledger systems for tracking project milestones.
Focused on environmentally responsible practices, this course teaches students how to integrate sustainability metrics into project planning and execution. Topics include carbon footprint reduction, green building certifications, and regulatory compliance in sustainable construction projects.
This course prepares students for leading international teams by examining cultural differences, negotiation strategies, and cross-border collaboration techniques. Case studies from multinational corporations provide practical insights into managing diverse stakeholders and navigating geopolitical challenges.
Students learn to apply statistical methods and quantitative models to assess and mitigate project risks. The course covers stochastic processes, Monte Carlo simulations, and Bayesian networks for probabilistic risk analysis in engineering projects.
This elective introduces students to digital twin platforms used in predictive maintenance, virtual prototyping, and real-time monitoring of physical systems. Students gain experience with simulation software tools like Siemens Digital Industries and Autodesk Fusion 360.
Designed for those seeking agile certifications, this course provides comprehensive training on Scrum, Kanban, and SAFe frameworks. Students participate in team-based simulations to understand how agile practices improve project delivery speed and quality.
This course addresses emergency response planning, crisis communication strategies, and resilience-building techniques in engineering contexts. Through mock scenarios and role-playing exercises, students develop critical thinking skills for handling unexpected challenges during project execution.
Integrating lean principles with Six Sigma methodologies, this course focuses on eliminating waste and improving process efficiency within project environments. Students complete certification-level projects using DMAIC (Define, Measure, Analyze, Improve, Control) tools.
This elective provides an overview of ERP systems commonly used in large-scale projects. Students study modules for finance, HR, procurement, and logistics, learning how to configure and customize these platforms to meet specific project requirements.
Our department strongly believes in experiential learning through project-based assignments. Mini-projects are introduced from the third year onwards, allowing students to apply theoretical concepts to real-world problems under faculty guidance. These projects span various domains, including software development, infrastructure planning, and business strategy.
The final-year thesis/capstone project is a capstone experience where students collaborate with industry partners or faculty mentors to develop innovative solutions for complex challenges. This process involves proposal writing, literature review, data collection, analysis, and presentation of findings to a panel of experts.
Students select projects based on their interests, career goals, and available resources. The selection process includes a formal application form, project proposal submission, and faculty evaluation. Each student is assigned a mentor from the faculty who guides them throughout the project lifecycle.
Evaluation of mini-projects and capstone projects follows a rubric that assesses technical proficiency, innovation, teamwork, communication skills, and adherence to deadlines. Regular progress reports are submitted to mentors, and final presentations are evaluated by a panel of faculty members and industry experts.
