Taught Postgraduate Programmes

Taught Postgraduate Programmes

School of Natural and Computing Sciences offers academically challenging taught programmes of study (each designed to provide students with an engaging and supportive learning environment grounded in teaching and research excellence) in the following areas:

MSc Advanced Energy Materials

This MSc offers a comprehensive overview of current and emerging technologies that are guiding the just energy transition. A future energy scenario will involve the collaboration of a range of technologies. This Masters course will give students a high level of understanding in the areas of electrochemical conversion devices (such as battery and fuel cell technology), carbon capture technologies and the hydrogen economy. Circular economy approaches and current sustainable innovations will also be covered.

MSc Analytical Chemistry

This programme focuses on specialisation in advanced modern analytical methodology to face challenges in environmental, pharmaceutical, oil & gas industry and other related industry in R&D. A particular focus is on the use of NMR and elemental & molecular mass spectrometry for the identification and quantification of small biomolecules in complex mixtures at trace level.

MSc Cybersecurity

The security and privacy challenges are ever-evolving and to overcome them, cybersecurity professionals must rapidly adapt to the evolving landscape. To achieve this, cybersecurity professionals need core skills that are flexible, adaptable, and extensible from small to large infrastructures. This course provides you with the necessary tools to build and improve these core skills.

Msc Information Technology

A conversion degree intended for people who have a first degree in a non-Computing area, and wish to learn about Computing Science and Information Technology.

MSc Artificial Intelligence

The MSc in Artificial Intelligence (AI) provides students with in-depth knowledge of recent advances in AI such as data and text mining, knowledge representation and reasoning, machine learning, natural language generation, information visualisation and communication, and distributed AI systems. The programme is centred on practical "hands-on" learning, exploring underpinning theories in combinations with the use of techniques, tools, software and methodologies with the opportunities, where possible, to work with international experts and companies at the cutting edge of the field.

MSc Data Science

There is an increasing demand for data scientists across all industry sectors, from healthcare and tech to finance, retail and beyond. This programme enables graduates of various disciplines to take advantage of the growing career opportunities in this field, by teaching the essential Computational Thinking (CT) and data analysis skills needed by employers today.

MSc FinTech

Jointly delivered by the University of Aberdeen Business School and School of Natural & Computing Sciences, this programme brings together expertise in mathematics, computer science, finance, and economics to deliver a fully integrated learning experience in Financial Technology.