Postgraduate Certificate in Decision Support in Industrial Engineering
-- viewing nowThe Postgraduate Certificate in Decision Support in Industrial Engineering is a course designed to equip learners with essential skills for career advancement in the industrial engineering sector. This program focuses on enhancing decision-making capabilities, a critical aspect of industrial engineering, by integrating mathematical, statistical, and engineering approaches.
3,911+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
About this course
100% online
Learn from anywhere
Shareable certificate
Add to your LinkedIn profile
2 months to complete
at 2-3 hours a week
Start anytime
No waiting period
Course Details
• Advanced Mathematical Modeling: This unit covers the development and application of mathematical models for decision support in industrial engineering. Topics include optimization, linear and integer programming, and stochastic models.
• Data Analysis and Visualization: This unit focuses on the analysis and visualization of large datasets using statistical methods, data mining techniques, and data visualization tools for effective decision making in industrial engineering.
• Simulation and Modeling: This unit covers the use of simulation and modeling techniques to support decision making in industrial engineering, including discrete-event simulation, system dynamics, and agent-based modeling.
• Decision Theory: This unit explores the principles and techniques of decision theory, including decision analysis, decision making under uncertainty, and game theory, and their application in industrial engineering.
• Supply Chain Management: This unit covers the principles and practices of supply chain management, including demand forecasting, inventory management, and logistics, and their role in decision support in industrial engineering.
• Operations Research: This unit focuses on the application of operations research methods and techniques, such as optimization, queuing theory, and simulation, to support decision making in industrial engineering.
• Artificial Intelligence and Machine Learning: This unit covers the principles and applications of artificial intelligence and machine learning techniques, such as neural networks and deep learning, in decision support in industrial engineering.
• Project Management: This unit explores the principles and practices of project management, including project planning, scheduling, and control, and their role in decision support in industrial engineering.
• Quality Management: This unit covers the principles and practices of quality management, including statistical process control, quality improvement methods, and quality management systems, and their application in decision support in industrial engineering.
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
Why people choose us for their career
Loading reviews...
Frequently Asked Questions
Course fee
- 3-4 hours per week
- Early certificate delivery
- Open enrollment - start anytime
- 2-3 hours per week
- Regular certificate delivery
- Open enrollment - start anytime
- Full course access
- Digital certificate
- Course materials
Get course information
Earn a career certificate
