The Nanoscience and Technology (NANO) specialisation focuses on the understanding, design, fabrication, and testing of materials and systems at the nanometre scale. It emphasises how control of size, shape, and structure at the nanoscale enables improved performance and new functionalities in materials and devices. Students develop strong foundations in nanoscale physical phenomena and gain skills in analysing nanoscale behaviour and interpreting experimental data. Graduates are prepared for careers in nanotechnology, advanced materials, semiconductor and photonics industries, research and development, and emerging technology sectors, as well as for further study in nanoscience or applied physics.

The Energy Science and Technology (EST) specialisation provides a multidisciplinary understanding of energy production, conversion, storage, and utilisation across a wide range of technologies. It addresses both renewable and non-renewable energy systems and emphasises the physical principles governing energy generation, efficiency, and management. Students develop analytical and computational skills to evaluate complex energy systems, assess technological trade-offs, and propose engineering solutions to pressing global energy challenges. Graduates are prepared for careers in energy engineering, power and grid-related industries, sustainable and renewable energy technologies, electric mobility, energy systems analysis and optimisation, and research and development, as well as for further study in energy science and technology.

The Specialisation in Computational Engineering Science enables students to use mathematics, physics, and computational methods to model, analyse, and solve scientific and engineering problems. It supports interests spanning artificial intelligence, robotics, autonomous systems, optimisation, and physics-based simulation, while emphasising the role of computational models as virtual representations of real-world systems. Students learn to formulate models from physical principles or data, implement numerical and algorithmic solutions, and interpret results critically. Graduates are prepared for roles in computational engineering, robotics and automation, AI-enabled engineering systems, modelling and simulation, and research and development, as well as for further study in computational engineering science.

The Specialisation in Engineering Science in Medicine equips students to address healthcare challenges through the application of core engineering science principles to medical technologies and systems. It focuses on the physical and mathematical foundations of modern diagnostic and therapeutic tools and develops students’ ability to analyse, model, and evaluate medical systems rigorously. Emphasis is placed on understanding system operation, interpreting measurement data, and assessing performance and limitations. Graduates are prepared for careers at the interface of engineering and medicine, including roles in medical technology, healthcare engineering, research and development, and clinical or industrial support, as well as for further study in related fields.