The Doctor of Computing programme prepares professionals with advanced technical skills, problem-solving abilities, and specialist competencies. Graduates will be equipped to tackle real-world challenges, implement sustainable solutions in industry and research, uphold ethical and professional standards, and pursue continuous learning and entrepreneurship. As an industry-applied doctorate, the programme bridges the gap between theory and practice, ensuring graduates develop skills relevant to both academic and professional settings.
The Master in Digital Engineering programme at Sunway University (MQF Level 7) is designed to address the growing demand for advanced digital knowledge and skills among engineering graduates. It offers courses which can effectively upskill current and future engineers to suit the rapidly evolving digital landscape in engineering-related industries.
The Doctor of Engineering (DOE) at Sunway University is a mixed-mode doctoral programme (MQF Level 8) designed to develop advanced technical expertise, strategic thinking, and leadership skills among engineering professionals. It caters to working practitioners who aspire to innovate, lead complex projects, and deliver impactful solutions within their industries. Unlike traditional PhD programmes, the DOE emphasises applied research and industry-driven problem solving, bridging academic knowledge with real-world applications.
The Mechanical Engineering programme is a modern, project-based degree which aims to produce graduates who address the Grand Challenges for Engineering and the UNSDGs. As a project-based degree, our students will Conceive-Design-Implement-Operate at least 4 engineering systems (or projects) throughout their degree, with at least 2 of such projects being based on real-life industry challenges. Their projects will address the Grand Challenges and the UNSDGs.
This 2-week mobility programme at North China University of Technology (NCUT) offers a unique blend of academic enrichment and cultural immersion in the heart of Beijing. It is designed for participants eager to expand their knowledge in emerging technologies while experiencing the rich traditions of Chinese culture.
The academic component focuses on Machine Learning and Database Systems, combining theoretical learning with practical engagement. Activities include:
