School of Informatics
Find out more about data science related programmes offered by the School of Informatics
MSc in Data Science
The School of Informatics' MSc in Data Science is designed for students who want to establish a career as a data scientist in industry or the public sector, as well as students who want to explore the area prior to further training such as in our Centre for Doctoral Training (CDT) in Data Science. Data science is the study of the computational principles, methods and systems for extracting and structuring knowledge from data; and the application and use of those principles. Large data sets are now generated by almost every activity in science, society and commerce – ranging from molecular biology to social media, from sustainable energy to health care.
PhD in the Centre for Doctoral Training in Data Science
The Centre for Doctoral Training (CDT) in Data Science (funded by EPSRC) within the School of Informatics provides specialised training in a four-year PhD (MSc by Research + PhD). Students perform independent research to develop new techniques and applications in areas such as machine learning, databases, statistics, algorithms, natural language processing, computer vision, and speech processing. The programme structure is a mix of advanced coursework in the first year and independent research in years 2–4. Successful applicants to the programme typically have advanced computational or mathematical background, such as would be provided by an undergraduate or masters degree in mathematics, computer science, engineering or physics. The programme is designed to prepare students for careers in advance research and development of novel data science methodologies in industry and academia.
PhD in the Centre for Doctoral Training in Robotics and Autonomous Systems
The Edinburgh Centre for Robotics runs the EPSRC Centre for Doctoral Training in Robotics and Autonomous Systems. Its goal is to train innovation-ready robotics researchers to be part of a multi-disciplinary enterprise, requiring sound knowledge of physics (kinematics, dynamics), engineering (control, signal processing, mechanical design), computer science (algorithms for perception, planning, decision making and intelligent behaviour, software engineering), as well as allied areas ranging from biology and biomechanics to cognitive psychology.
Participants specialise in one of these areas, gaining a deep understanding of technical aspects and theoretical foundations. Participants also receive broad training across these fields to enable them to engage meaningfully with a wide cross-section of the robotics community.