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Engineering Management Program

Duration: 1 Year

• To provide comprehensive knowledge of engineering and industrial management systems
• To develop advanced skills in project, operations, and resource management
• To introduce strategic management, risk, and quality systems in engineering
• To prepare learners for supervisory and managerial roles in engineering industries

Upon completion, learners will be able to:
1. Manage engineering projects using professional tools and methodologies
2. Apply advanced operations and production management techniques
3. Analyze engineering economics and financial decisions
4. Lead engineering teams effectively
5. Manage risks and quality in engineering systems
6. Execute an engineering management project

Module 1: Advanced Engineering Management Principles

• Strategic management in engineering
• Organizational structures
• Engineering leadership theories
• Decision-making models

Module 2: Advanced Project Management Systems

• Project integration management
• Risk management in projects
• Resource optimization
• Project monitoring and control

Module 3: Operations and Supply Chain Management

• Supply chain integration
• Lean operations and efficiency
• Inventory and logistics systems
• Performance measurement systems

Module 4: Engineering Economics and Financial Management

• Investment appraisal techniques
• Cost-benefit analysis
• Depreciation and asset management
• Financial decision-making tools

Module 5: Quality Management in Engineering Systems

• Total Quality Management (TQM)
• ISO quality standards
• Six Sigma basics
• Continuous improvement strategies

Module 6: Risk Management in Engineering Projects

• Risk identification and analysis
• Failure mode and effects analysis (FMEA)
• Mitigation strategies
• Safety and compliance systems

Module 7: Human Resource Management in Engineering

• Workforce planning
• Motivation and leadership
• Conflict management
• Performance appraisal systems

Module 8: Digital Engineering Management

• Industry 4.0 concepts
• Digital project management tools
• AI and automation in engineering management
• Data-driven decision-making

Final Project
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