We have an international reputation as a leading centre of research in science and technology studies. We also have a thriving and cosmopolitan community of graduate students studying on our MSc by Research, PhD, Taught Masters and Online Learning programmes.
Our current research strengths include:
• the history and philosophy of science
• the social shaping of technology
• the history of medicine
• the politics of controversies and public engagement with science
• science, technology and gender
• the sociology of financial markets and emissions trading schemes
• innovation in biotechnology and the life sciences
• the development and use of information and communication
• innovation for sustainability
• science and technology in developing countries
We currently offer two taught MSc programmes within Science, Technology & Innovation Studies:
Science, technology and innovation are central to contemporary society, solving and creating challenges in equal measure. This interdisciplinary programme examines the social, political and cultural dimensions of science, technology and innovation.
This programme responds to the rapid growth in the global bioeconomy by providing the core knowledge and skills needed to compete in a rapidly evolving, highly skilled workforce.
We currently offer two MSc research programmes within Science, Technology & Innovation Studies:
The MSc(R) is aimed at students who intend to go on to pursue a research career, within or outside academia, in this interdisciplinary field. It is the normal point of access to a PhD in Science and Technology Studies at the University of Edinburgh or elsewhere.
Usually undertaken full-time over three years, or part-time over six years, the PhD in Science and Technology Studies is a research degree in which students make an original contribution to our knowledge by pursuing an extended and focused piece of research on a topic of interest to them.
We currently offer a suite of courses within the cross-College online MSc Data Science, Technology & Innovation (DSTI):
This suite of courses is aimed at commissioners, coordinators and users of data science in business, policy-making and the third sector, including digital marketing and analytical services officers. Together, these courses form a Social Data Science pathway within DSTI and provide the skills needed to make best use of data science findings, with a particular focus on social media research, web 2.0 data and their synergies with publicly available ‘open’ administrative datasets.
Courses are Managing Digital Influence, Technologies of Civic Participation, Engaging with Digital Research, The use and evolution of digital data analysis and collection tools (EUDACT) and Understanding Data Visualisation. DSTI students in the programme can also opt to take a dissertation in Social Data Science and be supervised by members of the Science, Technology & Innovation Studies group. Contact supervisors Robin Williams, Morgan Currie, James Stewart or Gian Marco Campagnolo to discuss potential dissertation topics.