Curriculum Overview

The curriculum for the Project Management program at Maya Institute of Technology and Management is designed to provide a comprehensive understanding of project management principles, tools, and techniques. The program spans four years and consists of eight semesters, each with core courses, departmental electives, science electives, and laboratory sessions.

Core Courses

The core curriculum introduces students to fundamental concepts in project management, including project planning, execution, monitoring, and closure. These courses are mandatory for all students and lay the foundation for advanced specialization.

First Year Core Subjects

• Physics for Engineers (PHYS101): This course covers basic physics principles relevant to engineering applications, including mechanics, waves, and thermodynamics. Credits: 3-1-0-4
• Calculus and Differential Equations (MATH101): A foundational mathematics course covering differential and integral calculus, ordinary and partial differential equations. Credits: 4-0-0-4
• Introduction to Computer Science (CSE101): An introductory overview of programming concepts, data structures, and algorithmic thinking. Credits: 3-1-0-4
• English for Technical Communication (ENGL101): Focuses on technical writing, presentation skills, and professional communication in engineering contexts. Credits: 2-0-0-2
• Introduction to Social Sciences (HSS101): Explores sociology, psychology, and political science as they relate to organizational behavior and management. Credits: 2-0-0-2

Second Year Core Subjects

• Linear Algebra and Probability (MATH201): Covers vector spaces, matrices, determinants, and probability theory for decision-making. Credits: 4-0-0-4
• Modern Physics and Applications (PHYS201): Explores quantum mechanics, relativity, and applications in modern engineering systems. Credits: 3-1-0-4
• Data Structures and Algorithms (CSE201): Introduces data structures like arrays, linked lists, trees, and algorithms for sorting and searching. Credits: 3-1-0-4
• Introduction to Economics (ECON201): Covers microeconomics, macroeconomics, and economic principles relevant to business decisions. Credits: 3-0-0-3
• Psychology of Human Behavior (HSS201): Studies human behavior in organizational settings and its impact on project success. Credits: 2-0-0-2

Third Year Core Subjects

• Statistics and Numerical Methods (MATH301): Applies statistical methods for data analysis, hypothesis testing, and numerical simulations. Credits: 3-0-0-3
• Database Systems (CSE301): Covers database design, SQL queries, normalization, and transaction processing. Credits: 3-1-0-4
• Mechanics of Materials (MECH301): Introduces stress-strain relationships and material properties in structural engineering. Credits: 3-0-0-3
• Microeconomics (ECON301): Analyzes market structures, consumer behavior, and resource allocation models. Credits: 3-0-0-3
• Sociology of Organizations (HSS301): Examines organizational structure, culture, and social dynamics in project environments. Credits: 2-0-0-2

Fourth Year Core Subjects

• Operations Research (MATH401): Applies mathematical models to optimize decision-making processes in complex systems. Credits: 3-0-0-3
• Software Engineering (CSE401): Covers software lifecycle, requirements analysis, testing, and maintenance strategies. Credits: 3-1-0-4
• Thermodynamics and Heat Transfer (MECH401): Explores thermodynamic laws and heat transfer mechanisms in industrial applications. Credits: 3-0-0-3
• Macroeconomics (ECON401): Studies national income, inflation, fiscal policy, and global economic trends. Credits: 3-0-0-3
• Management Psychology (HSS401): Investigates psychological theories of leadership, motivation, and team performance in business contexts. Credits: 2-0-0-2

Fifth Year Core Subjects

• Financial Mathematics (MATH501): Introduces financial derivatives, interest rate models, and valuation techniques. Credits: 3-0-0-3
• Cloud Computing (CSE501): Explores cloud architecture, virtualization, and deployment strategies for scalable applications. Credits: 3-1-0-4
• Manufacturing Technology (MECH501): Covers modern manufacturing processes, automation, and quality control systems. Credits: 3-0-0-3
• Industrial Organization (ECON501): Analyzes industry structure, competition, and regulatory frameworks in economics. Credits: 3-0-0-3
• Leadership and Change Management (HSS501): Focuses on change leadership, organizational transformation, and innovation strategies. Credits: 2-0-0-2

Sixth Year Core Subjects

• Decision Making under Uncertainty (MATH601): Explores stochastic processes, Bayesian inference, and decision trees for uncertain environments. Credits: 3-0-0-3
• Machine Learning (CSE601): Introduces supervised, unsupervised, and reinforcement learning algorithms with practical applications. Credits: 3-1-0-4
• Project Management Fundamentals (MECH601): Covers project initiation, planning, execution, monitoring, and closure phases. Credits: 3-0-0-3
• Public Policy and Regulation (ECON601): Examines government policy frameworks affecting businesses and public projects. Credits: 3-0-0-3
• Corporate Governance and Ethics (HSS601): Explores ethical dilemmas, corporate governance standards, and legal compliance in project environments. Credits: 2-0-0-2

Seventh Year Core Subjects

• Advanced Optimization Techniques (MATH701): Applies linear programming, integer programming, and heuristic optimization methods to real-world problems. Credits: 3-0-0-3
• Big Data Analytics (CSE701): Covers data mining, predictive analytics, and visualization tools for large datasets. Credits: 3-1-0-4
• Advanced Project Planning and Scheduling (MECH701): Explores advanced scheduling techniques, critical path method, and resource leveling. Credits: 3-0-0-3
• Global Economic Trends (ECON701): Analyzes international markets, trade policies, and global financial systems. Credits: 3-0-0-3
• International Project Management (HSS701): Covers cross-cultural communication, global project teams, and international regulations. Credits: 2-0-0-2

Eighth Year Core Subjects

• Research Methodology (MATH801): Provides tools for research design, hypothesis testing, and academic writing. Credits: 3-0-0-3
• Project Risk Analysis and Mitigation (CSE801): Focuses on risk identification, quantification, and mitigation strategies using statistical methods. Credits: 3-1-0-4
• Capstone Project (MECH801): Students work on a comprehensive project that integrates all learned skills and knowledge. Credits: 3-0-0-3
• Strategic Planning and Innovation (ECON801): Explores innovation strategies, strategic frameworks, and competitive advantage in project environments. Credits: 3-0-0-3
• Leadership and Team Dynamics (HSS801): Examines team development theories, conflict resolution, and leadership styles in complex projects. Credits: 2-0-0-2

Departmental Electives

Students can choose from a variety of departmental electives to tailor their learning experience based on career goals and interests.

Agile Project Management

This course explores agile methodologies, including Scrum and Kanban, with a focus on software development and organizational transformation. Students learn how to apply these frameworks to manage iterative projects efficiently and adapt quickly to changing requirements.

Data-Driven Decision Making

Students learn how to use data analytics tools and visualization techniques to inform project decisions and improve outcomes. The course emphasizes hands-on experience with platforms like Tableau, Power BI, and Python libraries for data processing.

Project Risk Assessment

Covers risk identification, quantification, and mitigation strategies across various industries. Students are exposed to real-world case studies and learn to develop risk registers, contingency plans, and simulation models.

Stakeholder Management in Complex Projects

Emphasizes communication planning, negotiation, and conflict resolution skills essential for large-scale projects. The course includes role-playing exercises and workshops on stakeholder mapping and engagement strategies.

Sustainable Project Development

Focuses on integrating environmental and social considerations into project design and implementation. Students examine sustainability metrics, carbon footprint assessments, and lifecycle analysis tools.

Project Portfolio Management

Teaches how to manage multiple projects effectively, ensuring alignment with strategic objectives. The course covers portfolio optimization, resource allocation, and performance measurement techniques.

International Project Coordination

Explores cross-cultural challenges and best practices in managing global teams and projects. Students learn about international business etiquette, legal frameworks, and time zone coordination strategies.

Lean Six Sigma for Project Optimization

Integrates quality control methodologies into project management frameworks to enhance efficiency. The course includes certification preparation and practical application in real-world scenarios.

Laboratory Sessions

Lab sessions provide students with hands-on experience in using industry-standard software tools and platforms for project planning, risk analysis, data visualization, and simulation.

Project Simulation Lab

This lab allows students to simulate real-world scenarios using virtual reality tools. Students can model complex projects, test different approaches, and evaluate outcomes before implementing solutions in actual settings.

Data Analytics for Project Management Lab

Equipped with enterprise-grade software for predictive modeling, this lab enables students to analyze large datasets, create dashboards, and generate insights that inform strategic decisions.

Project Planning & Scheduling Lab

Students learn to use tools like Microsoft Project, Primavera P6, and Smartsheet to build project schedules, assign resources, and track progress. The lab also offers training on Gantt charts, milestone tracking, and critical path analysis.

Mini-Projects and Capstone

The department’s philosophy on project-based learning emphasizes student engagement, real-world relevance, and continuous feedback. Students are assigned mini-projects in each semester, culminating in a final-year thesis or capstone project that addresses a contemporary issue in the field.

Mini-projects typically span 4–6 weeks and involve working in teams of 3–5 students. These projects are evaluated based on deliverables, teamwork, innovation, and presentation quality. The final-year capstone project is supervised by a faculty mentor and often involves collaboration with industry partners. Students select their projects through a formal proposal process, where they present their ideas to a panel of faculty members.