MSc Intelligent Engineering Science and Industrial Operations

The MSc in Intelligent Engineering Science and Industrial Operations (MSc IESIO), offered by the School of Intelligent Manufacturing Ecosystem, is a 24-month, full-time programme rooted in manufacturing engineering and designed around a transdisciplinary approach. It brings together engineering science, industrial operations, and innovation practice to prepare graduates to solve complex operational problems and contribute to the design and transformation of modern industrial ecosystems.

In the first year, students develop future-ready knowledge in manufacturing and materials, artificial intelligence, the Internet of Things (IoT), big data analysis, product design, systems thinking, and research and innovation. The Bespoke Industrial Studios connect this learning to real-world scenarios, with input from industry professionals and opportunities for experiential, project-based learning.

In the second year, students can shape their capstone experience by choosing an internship or research project in each of two semesters. This enables industry-focused, research-focused, or mixed pathways, supported by structured project approval, academic supervision, and industry supervision or mentoring. Internship placements are subject to availability; students who do not secure a suitable external placement can undertake an equivalently supported on-campus research project.

Across the programme, students are encouraged to consider sustainability, responsible innovation, inclusive design, lifecycle impacts, and the safe and secure use of digital and industrial technologies. The result is a broad technical and professional education that develops analytical judgement, leadership, communication, and entrepreneurial capability.

Why should I study MSc IESIO at XJTLU?

Attaining an MSc IESIO from XJTLU equips students with in-demand, interdisciplinary expertise in AI and data-driven engineering, opening high-impact career opportunities in technology sectors. The programme provides students with:

• Flexible second-year pathways: Tailor your capstone experience through two semesters of internships, research projects, or a combination of both, aligned with your career or doctoral ambitions;
• Industry-connected learning: Work on authentic industrial problems through the Bespoke Industrial Studios and engage with industry professionals, academic supervisors and industry mentors;
• Future-ready technical breadth: Build knowledge across manufacturing and materials, AI in product design, the Industrial IoT, big data, systems thinking, and intelligent manufacturing;
• Research, innovation, and entrepreneurship: Develop the ability to frame problems, design rigorous investigations, evaluate engineering and business options, and translate ideas into viable industrial interventions; and
• Responsible systems leadership: Learn to evaluate technical decisions in relation to people, organisations, sustainability, safety, security and wider industrial ecosystems.

Graduates of MSc IESIO will gain knowledge and core skills in:

• Advanced technology application: applying manufacturing, materials, AI, IoT, and data-analysis knowledge to solve complex engineering and industrial problems;
• Critical analysis and systems thinking: framing complex operational challenges, evaluating interdependencies, and developing evidence-based solutions across industrial ecosystems;
• Research and innovation: formulating rigorous questions, selecting appropriate methods, conducting experimental or analytical investigations, and evaluating the feasibility, ethics, and impact of proposed solutions;
• Product and industrial solution design: integrating technology, design, and Industry 4.0 principles while considering lifecycle, sustainability, accessibility, safety, and security;
• Industrial leadership and business judgement: leading engineering initiatives, applying engineering economics and finance, and using entrepreneurial frameworks to evaluate projects, interventions and new ventures;
• Collaboration and communication: working effectively with technical and non-technical stakeholders in diverse teams and communicating ideas in industrial and academic settings; and
• Independent project delivery: planning and executing advanced internship or research work with increasing autonomy, critical reflection and professional accountability.