The four-year PhD programme includes in its first year intensive courses that provide a comprehensive introduction to theoretical and systems neuroscience and machine learning (see Teaching). Multidisciplinary training in other areas of neuroscience is also available. We offer a supportive and interdisciplinary environment with close links to the Sainsbury Wellcome Centre for Neural Circuits and Behaviours (SWC) and the ELLIS Unit at UCL. Students are strongly encouraged to work and interact closely with peers and faculty at SWC and the ELLIS Unit to benefit from this uniquely multidisciplinary research environment. Projects involving collaboration with researchers at and/or external to UCL are welcome. For details see programme structure.

Artificial intelligence is increasingly shaping our daily lives, changing the economy and making its way into the private sphere. For the winter semester 2022/23, the Brandenburg University of Technology Cottbus-Senftenberg (BTU) is establishing new degree programmes for all those who want to actively participate in this fascinating development. Autonomous driving, facial recognition or the metaverse, which links the real with virtual worlds, are inconceivable without artificial intelligence (AI) and the technology required for it (KIT). "Experts in AI and AI technology are increasingly in demand. But to reach expert level, you need to master a truly interdisciplinary combination of skills and knowledge from computer science, mathematics, ethics and psychology, to name just a few areas," says Prof. Dr. Douglas Cunningham, who recognised the need for specially trained personnel and helped develop the four new degree programmes.

Artificial intelligence was originally conceived as an engineering task. It has now become an important element of all kinds of business and government work, and an integral part of our everyday lives and a variety of jobs. AI education is valuable not only in the fields of computer science and engineering, but also in other sciences, both natural and social, even in the humanities such as the study of literature, history, politics, and in the creative and performing arts. Many educational institutions around the world have decided to integrate AI education into all their offerings, from engineering to business, and the sciences to the humanities, and even the arts. AI has already found applications in many non-traditional areas.

A Memorandum of Understanding (MoU) was signed between Universiti Malaysia Pahang (UMP) and Malaysia Automotive, Robotics and IoT Institute (MARii). The MOU outlined collaborations in research, academic and student exchange programmes and dual degree programmes, and would also pave the way for the establishment of smart partnerships in knowledge sharing between the two parties. Today's MoU signing will be a breakthrough for UMP and MARii to introduce a Dual Degree Master of Automotive Engineering Programme at MARii Academy of Technology in Rawang. This Master's degree programme offers courses on topics like electrification of drivetrains, artificial intelligence (AI) processes in automation, battery system for modern drives, BUS Systems and diagnosis protocol and many other areas related to automotive engineering. The students will be taught by experienced professors from HsKA and UMP.

Data scientists are highly educated – 88% have at least a Master's degree and 46% have PhDs – and while there are notable exceptions, a very strong educational background is usually required to develop the depth of knowledge necessary to be a data scientist. To become a data scientist, you could earn a Bachelor's degree in Computer science, Social sciences, Physical sciences, and Statistics. The most common fields of study are Mathematics and Statistics (32%), followed by Computer Science (19%) and Engineering (16%). A degree in any of these courses will give you the skills you need to process and analyze big data. After your degree programme, you are not done yet.