The MPhil in Digital Policy provides a firm foundation for understanding the challenges and possibilities posed by digital transformation, aimed at policy professionals in the UK and overseas who have embarked on or are embarking on a policy career. The course is interdisciplinary, spanning political science, economics, law and computer science. The course aims to provide students with the opportunity to develop their powers of critical thinking and the skills and tools to form judgements based on wide ranges of information with varying degrees of uncertainty, and act on them. The course will also train students to understand how others operate and how to work with them to achieve a desired outcome.

The MPhil in Digital Policy is primarily a professional Master's course.

The PhD in Digital Humanities, run by Cambridge Digital Humanities and based in the Faculty of English, is a research-intensive programme that will enable students to engage at doctoral level with projects demanding the use of digital methods and tools or adopting critical/theoretical orientations. The programme expands the humanities offering at research postgraduate level at Cambridge by offering a route for cross-disciplinary engagement, responding to the growth of the field of Digital Humanities as a research area.

The programme is designed to enable students from many areas of the arts and humanities to develop practical skills and knowledge and to generate the necessary critical literacy to understand and engage with digital research, and digital cultures, and to respond to questions that arise around AI, the ethics of automation, algorithmic analysis, privacy/surveillance, online cultures, data sharing, intelligent agency and creativity, archival justice and digital histories, and to explore work in relation to collections and heritage issues. Through supervisions and technical support from a research software engineer, contextualised by a research culture providing research-led seminars and lectures, guest seminars, and practice-driven workshops, Cambridge Digital Humanities provides the conditions for original PhD research in DH or in other arts and humanities/social science disciplines that make a significant intervention into shaping the field.

The course aims to:

• Enable students to engage at doctoral level with projects that require the use and generation of digital methods, tools, approaches, and/or of critical/theoretical orientations.
• Expand the humanities offering at research postgraduate level at Cambridge by providing a cross-disciplinary route for engagement, responding to the growth of the field of Digital Humanities as a research area.
• Enable humanities and social science-trained students to develop critical literacy and practical skills and knowledge to understand and engage with digital materials and methods for studying matters relevant to the humanities.
• Provide the conditions to enable the production of original PhD research in Digital Humanities or other arts and humanities/social science disciplines that make a significant intervention into shaping the field.
• Respond to the need for the humanities to grapple with emerging forms, practices, and social formations shaped in a digital age.

The course will benefit the students:

• With relevant MPhils who want to engage with the field of Digital Humanities, enabling them to hone critical and methodological skills, develop new approaches, test them out, and specialise.
• Locating themselves in other home disciplines who wish to develop advanced projects, including Digital Humanities approaches and orientations.
• Entering into or returning to other careers in GLAM (Galleries, Libraries, Archives, and Museums), creative industries, digital media industries, and media arts by giving them advanced critical perspectives, practical digital literacies, and methodological insights to pursue these pathways.

The MPhil in Digital Humanities is directed by Cambridge Digital Humanities (CDH), a research centre with links across a wide range of faculties and units at Cambridge. The course is administered by the Faculty of English.

This exciting MPhil explores the ways in which the humanities engage with the processes of digital transformation, digital futures, digital research, and digital cultures, as questions arise around AI, ethics of automation, algorithmic analysis, privacy/surveillance, online cultures, data sharing, intelligent agency and creativity, archival justice and digital histories, collections and heritage issues.

The course gives students critical/theoretical orientations and delivers a structured form of engagement with digital methods, tools, and approaches while enabling flexibility in terms of specialism. Students may come from multiple disciplines and the course caters to different skill levels in DH methods. Students take two broad core courses – Digital Humanities Approaches and Methods, and Critical Technical Practice – and follow two courses from a basket of more specialist options. The course is assessed through shorter essays and a year-long dissertation or portfolio project.

This course aims:

• to give students a structured form of engagement with critical/theoretical orientations and digital methodologies and tools To expand the humanities offering at taught post-graduate level at Cambridge by offering a route for cross-disciplinary engagement and the development of new skills and knowledges for a cohort spanning humanities areas as broadly conceived field. The course responds to the growth of the field of Digital Humanities both as a research area and as a teaching location;
• to enable humanities/social science trained students to develop the critical literacy and practical skills and knowledges to understand and engage with digital materials and digital methods for the study of matters relevant to the humanities; and
• to respond to the need for the humanities to grapple with emerging forms, practices, and social formations shaped in a digital age.
• The course responds to the growing recognition that humanities engagement with digital futures is necessary particularly as questions arise around the ethics of automation, algorithmic analysis, privacy/surveillance, virtual cultures, data sharing, intelligent agency and creativity, archival justice, digital histories.
• The course responds to the pervasive shift to the digital, to the need to train postgraduates with an understanding of the stakes of new forms of mediated communication, cultural production, modes of social being, and epistemic cultures that these produce.
• The course responds to the needs of the creative industries/media industries/heritage industries for appropriately trained postgraduates able to address the transformations of the digital on their sectors.

The course will benefit:

• students seeking to stay with the field of DH at doctoral level and beyond – by enabling them to hone their critical and methodological skills, develop new approaches and test them out, and specialise;
• students who will take their learning back into home disciplines – by giving them the critical and practical digital literacy to inform future research at doctoral level and beyond;
• students entering other careers – in GLAM (galleries, libraries, archives and museums), creative industries, digital media industries, media arts – by giving them the critical perspectives, practical digital literacies, and methodological insights to pursue these pathways.

Studying for a PhD at the the Centre of Development Studies situates you in a community of diverse scholars who bring together the analytical rigour required of economists and other social scientists today, and the recognition that no important issue in development — poverty and inequality, population growth, the construction of the institutions of a market economy, war and human rights, democratisation — can be properly understood without an inter-disciplinary perspective. You can find out more about the wide range of research undertaken by current PhD students as well as by our academic staff on our website.

All students will take a compulsory Research Methods course in the first year. Students are also encouraged to attend a wide range of seminars and other events organised by the Centre of Development Studies and departments throughout the University, such as the Social Sciences Research Methods Centre.

The essence of the Cambridge experience, however, is that the PhD candidate works closely with the PhD Supervisor. The Supervisor helps the candidate develop the thesis project through discussion and review of draft materials presented by the candidate.

The process of working on the thesis will differ from candidate to candidate, depending on their project, their preferences, and the style of supervision adopted. However, in general, it is expected that the first year (or two years in the case of part-time students) will be devoted not only to completing the Research Methods modules but also to the development of a detailed and well-thought-through thesis outline and methodology. In particular, at the outset, the student should devote some time to considering how they will be making an original contribution to the field through their work. The students will be assessed on this before they are approved for PhD status.

It is important to note that the part-time PhD at Cambridge is not a distance-learning course. Part-time students are expected to fully engage with the department, integrate into the University's research culture, and regularly attend the University for supervision, study, skills training, research seminars, and workshops.

Part-time applicants from outside the UK should note that visa restrictions may apply and that not all sources of funding are available to part-time students. It is the student's responsibility to find out this information.

The MPhil in Development Studies seeks to provide students with a critical and reflexive programme that encourages them to examine closely the role of the main development actors, institutions, and policies and ask who actually benefits from development interventions designed and implemented within global and national power structures. The emphasis on critical reflection in this MPhil privileges analytical approaches to development as opposed to more practice-based or vocational strategies.

The MPhil will offer students:

• knowledge of the individual disciplines relevant to development studies and a conceptual understanding of the need for interdisciplinary research
• knowledge of a range of theories and methodologies from different fields in development with a particular focus on applying theory to empirical data
• engagement with a wide range of academic and policy debates in the field of international development and the ability to think about development beyond prescribed technical solutions

This PhD course is part of the EPSRC Centre of Doctoral Training (CDT) in Developing National Capability for Materials 4.0 led by the University of Manchester.

The goal of this PhD program is to develop leaders in the field of Materials 4.0 and ambassadors for a broader cultural shift in the practice of materials science. Working across boundaries between fields, the students will develop and advocate for new capabilities (methods and techniques) to drive forward the digitalisation of materials research and innovation.

A critical aspect of the CDT will be its ability to deliver change at scale, through both the activities of students themselves and first hand through extending training packages to other CDTs and to existing researchers in academia and in industry at all career stages.

The CDT will draw upon the skills and facilities of academic partners in the Royce Institute from across the UK and be created in partnership with the National Physical Laboratory (building on their success with remote training) and in collaboration with the Alan Turing Institute (ATI).

Specifically, our objectives are to:

1. Develop our students as leaders in the emerging field of Materials 4.0 and enable them to become advocates for new methods in industry and academia.

2. Create a national centre for doctoral training in Materials 4.0 to basic and proficient level, bringing together experts and facilities from across the UK.

3. Train our students as trainers so that they can cement their own learning by delivering training to other students and to existing researchers.

4. Provide mechanisms and support for a distributed cohort to engage deeply with industry and each other, to form lasting relationships for their future careers.

5. Enable our students to rapidly develop mentoring, coaching and leadership skills by incorporating inter-cohort learning and interaction as a core feature of our CDT and by involving the students in key aspects of the running of the centre.

6. Drive the application of new methods, developed by our PhDs, in industry and academia. Use the existing networks of Royce, NPL and Alan Turing to disseminate the collective learning from our CDT cohorts more widely across the UK academic and industrial community.

The programme aims to develop:

• an individual's ability to adopt an informed and critically reflective stance to their own and to others practice as dental educators, whether working in academic or practice settings;
• an individual's own teaching practice (including approaches to the design, implementation and evaluation of teaching);
• a strong rationale for approaches they adopt, drawing on contemporary learning literatures, within and beyond dental education.

The course has been designed to reflect professional standards for dental educators, in particular COPDEND (2013) standards for dental educators and the Academy of Medical Educator (2021) Standards for Medical, Dental and Veterinary Educators.

The programme's aim is to:
- develop individuals’ ability to adopt an informed and critically reflective stance to their own and others practice as dental educators and leaders;
- invite consideration of strategies to create and sustain safe working and learning environments, including supporting and developing faculty to deliver high quality dental education and training;
- establish the features of high quality formative and summative assessment practices and how these are used to assess performance and support the development of learners, foundation programme participants and trainees (including differentiation of performance and supporting trainees who are failing to progress);
- support a focus on curriculum and course design at two levels i.e. firstly, to enable an informed critique of adopted curriculum, their limits and potentials and secondly to familiarise participants with core curriculum design skills.

The PhD is the primary research degree that can be taken in the Department of Computer Science and Technology. The Cambridge PhD is a three to four-year full-time (or part-time equivalent) programme of individual research on a topic agreed by the student and the Department, under the guidance of a staff member as the student's supervisor.

The UKRI AI CDT in Decision Making for Complex Systems is a programme offered in conjunction with the University of Manchester that aims to enable students to develop new fundamental AI capabilities in the context of a diversity of complex systems. Rather than working in isolation, as is usual in AI, the students will learn to develop these in a collaborative manner tied to a specific application domain. The CDT is focused on three areas, Uncertainty in complex systems, Decision-making with humans in the loop and Decision-making for ML systems. Model interpretability and explainability will be transversal to the three topics. Decision making with AI needs to be interpretable and explainable to facilitate interrogation of decision processes such that trust can be built by the human, and it is essential for understanding and meeting ethical and legal implications.

This CDT programme requires students to complete one year of training at the University of Manchester leading to award of a Postgraduate Diploma in Artificial Intelligence, followed by research for a PhD degree at either the University of Manchester or Cambridge. Applications for admission to the CDT programme are made to the University of Manchester in the first instance. Successful applicants who chose a research project at the University of Cambridge will be invited to apply for admission to this PhD. Further information about the course and how to submit an application can be found here https://www.cst.cam.ac.uk/admissions/phd.

Important: Applications to this PhD programme will only be considered from students who are registered on the UKRI AI CDT in Decision Making for Complex Systems at the University of Manchester.

The course responds to the growing:

• demand for highly trained research scientists to design and implement data analysis pipelines for the increasingly large and complex data sets produced by the next generation of scientific experiments;
• societal demand for data science and data analysis skills in the industry, especially when applied in strategic domains (science, health) and economic areas (finance, e-commerce);
• need to train postgraduate students with a deep understanding of data science techniques and algorithm building for modern computer architectures and utilising industry best practices for software development;
• importance of open science in research, specifically reproducibility of scientific results and the creation of public data analytic codes.