Master of Science in Quality Engineering and Management (MS-QEM)

The Master of Science in Quality Engineering and Management is a two-year graduate program that equips professionals with advanced skills in process optimisation, statistical analysis, and organisational leadership. Delivered fully online in IDC’s Sequential Block Format (6-week courses, year-round), the program prepares graduates to lead quality initiatives and continuous improvement projects across global industries such as manufacturing, healthcare, aerospace, and services.

Program Overview

The MS-QEM program requires 36 credit hours for completion and offers a structured curriculum that combines engineering principles, management strategies, and applied research. Students engage with core areas such as:

1. Fundamentals of Quality Engineering
2. Process Improvement and Lean Six Sigma
3. Reliability Engineering and Risk Analysis
4. Quality Management Systems and Global Compliance
5. Supply Chain Quality and Performance
6. Project and Innovation Management

Graduates complete the program by choosing between two culminating options:

1. Capstone Project (application-focused): A comprehensive improvement plan for a real or simulated organisation.
2. Master’s Thesis (research-focused): An original study contributing to the academic field of quality engineering and management.

Skill Development

The MS-QEM emphasises the development of advanced professional and research skills, including:

1. Quality Engineering Tools: Proficiency in Six Sigma, Lean, and reliability engineering.
2. Process Optimisation: Ability to analyse and improve production and service operations.
3. Data-Driven Decision-Making: Mastery of statistical analysis and evidence-based management.
4. Leadership and Strategy: Competence in leading organisational change and continuous improvement.
5. Ethical and Global Standards: Application of ISO, ASQ, and other international quality frameworks.
6. Research and Publication Skills: Preparation for producing scholarly work and professional reports.

Practical Experience

Hands-on learning opportunities bridge theory and application throughout the program:

1. Applied Case Studies and Simulations: Real-world scenarios addressing quality challenges.
2. Industry-Focused Research Projects: Collaboration with organisations or simulated environments.
3. Capstone or Thesis: Integration of program learning outcomes into applied or scholarly work.
4. Professional Development Opportunities: Engagement with quality conferences, certifications, and industry networks.

Career Opportunities

Graduates of the MS-QEM program are prepared for leadership and specialised roles in quality engineering, operations, and management.

Potential career paths include:

1. Quality Engineer / Manager – Leading quality initiatives within organisations.
2. Process Improvement Specialist – Driving operational excellence through Lean and Six Sigma.
3. Reliability Engineer – Focusing on product and system dependability.
4. Compliance and Standards Manager – Ensuring alignment with ISO and regulatory frameworks.
5. Operations Manager – Overseeing efficiency and quality in production and service delivery.
6. Consultant / Advisor – Supporting businesses in implementing quality management systems.
7. Doctoral Study Preparation – Serving as a foundation for PhD-level research in engineering or management.

Key Areas of Study

The program covers essential domains in quality engineering and management, including:

1. Fundamentals of Quality Engineering – Core principles, tools, and metrics.
2. Lean Six Sigma and Process Improvement – Techniques for waste reduction and efficiency.
3. Reliability Engineering and Risk Analysis – Ensuring performance and mitigating operational risks.
4. Quality Management Systems and Compliance – Implementation of ISO and global standards.
5. Supply Chain Quality and Performance – Managing quality across interconnected systems.
6. Project and Innovation Management – Leading improvement initiatives and fostering innovation.
7. Research Methods and Data Analysis – Applying advanced statistical techniques to business and engineering problems.