The Master of Science in Digital Humanities helps graduates from Humanities, Social and Behavioral Sciences programmes to develop digital competencies that will allow them to add digital dimensions to their own domain expertise. It aims to explicitly link these competencies to research questions, case studies and applications related to the domain expertise of the students.
Graduates of this programme will be able to bring their own domain expertise to a significantly higher level of functionality, using digital tools and techniques. Building both on the expertise they obtained from the programme and their prior expertise in Humanities, Social or Behavioral Sciences, graduates will be well placed to open many new digital applications to a much wider community. Moreover, those who wish to move to a professional profile involving more advanced digital competencies, are well prepared to do so.
The programme is organized around a number of clusters of course units. The central clusters are the Application Domains cluster and the Tools for the Digital World cluster. Supporting clusters are the Introductory Digitization Components cluster, the Advanced Digitization Components cluster and the Management Component. The heart of the research activities is situated in the Master’s thesis.
The Master’s Programme is conceived as a one year, international and multidisciplinary advanced master programme (master-after-master). The programme is unique in Flanders and one of only a few in Europe. The programme is firmly framed in an explicit collaboration between the Faculty of Arts, the Faculty of Psychology and Educational Sciences, the Faculty of Social Sciences and the Faculty of Sciences - Department of Computer Science. As such, it is supported by experts in Digital Humanities applications, who supply research expertise for the programme, as well as by experts in digital techniques and tools, who provide a sound technical basis for the students.
Digitization affects in many ways how future scientists in Humanities and Behavioural Sciences will conduct their research. Also, graduates from Humanities and Behavioural Sciences programs enter a professional world in which digitization becomes the standard, be it in publishing, arts, libraries, teaching and many others.
The Master of Science in Digital Humanities program aims to prepare graduates from Humanities and Behavioural Sciences programs for these challenges. It aims to help such graduates to develop digital competencies that will allow them to add digital dimensions to their own domain expertise. It aims to explicitly link this knowledge and these competencies to case studies and applications related to the domain expertise of the students. It will train them to master information structures and functionalities of data, programming structures and technique to produce scripts for digital applications, tools for improving access and interactive use of data and the development of new digital applications. It will train them how to manage projects related to digitization and introduce them to emerging new digital technologies and their applications.
As an advanced master program (master-after master), it is assumed that the students entering this program have already achieved the general academic competencies defined for any master's program. Nevertheless, it is also within the aims of the program to further strengthen these competencies, within the specific context that Digital Humanities offers.
More specifically, graduates understand the basics of Digital Humanities, databases and query languages, scripting languages, the role of IT in management and of some of the emerging technologies in Digital Humanities. They are able to formulate research goals, determine trajectories that achieve these goals, collect and select information relevant to achieve the research goals and interpret collected information on the basis of a critical research attitude. They are able to communicate scientifically. They are able to model a database and use SQL, to use a scripting language, to apply tools for Digital Humanities and to study applications in Digital Humanities. They have the attitudes of valuing and fostering creative, critical and independent thinking, of applying an interdisciplinary and participative approach in innovative development and of striving towards opening the digital world to a broader society.
Academically, researchers in the Humanities, Social or Behavioral Science are confronted with the need to apply digital tools to facilitate and enhance their research. The program enables graduates to enhance their research in the Humanities, Social or Behavioral Sciences through non-trivial uses of digital tools and techniques. This may include modeling and querying databases, accessing data, interconnecting andquerying web resources, extending tools with scripts to provide extra functionality, text-encoding and e-publishing, mining repositories, data visualization, analyzing social networks, adopting, adapting and enhancing e-learning environments, improvingusability of human-computer interaction. As such, graduates are very well placed to take on the challenges that novel research positions require.
Professionally, graduates of the Humanities, Social of Behavioral Sciences enter professional environments where connecting the company’s business with digital tools and techniques has become standard. Here as well, the program enables its graduates to put to use non-trivial digital techniques in their professional occupations, including e-media, publishing, arts, history, culture, music, libraries, e-education or interactions for end-user applications. Thus, graduates who want to pursue a career in the usual sectors for graduates of the Humanities, Social or Behavioral Sciences will be much better prepared to cope with the digital techniques that are currently applied there.
More generally, graduates of this program provide society with professionals and researchers who are able to bring their own domain expertise to a higher level of functionality, using digital tools and techniques. Building both on the expertise they obtained from the program and their prior expertise in Humanities, Social or Behavioral Sciences, are well placed to take part in opening the digital world to a larger community.
Graduates of this program who wish to move to a job profile involving more advanced digital competencies, are prepared to do so and will help to close to gap in an IT-focused labor market. This will require extra training at the company and aims at positions such as project analysts, project managers, service managers.
Data science is the study of the computational principles and systems for extracting knowledge from data, for maintaining data, and for ensuring its quality. Large data sets are now generated by almost every activity in science, society and commerce.
This EPSRC-sponsored programme tackles the question: how can we efficiently find patterns in these vast streams of data?
Many research areas in informatics are converging on the problem of data science. Those represented in the School include machine learning, databases, data management, optimization and cluster computing; and also the unstructured data issues generated in areas such as natural language processing and computer vision.
Our programme will allow you to specialise and perform advanced research in one of these areas, while gaining breadth and practical experience throughout data science.
A short sample of our research interests includes:
Many more topics can be found by exploring the Centre’s web pages, particularly the personal web pages of the Centre supervisors:
You will be supervised by one of our 45 world-renowned faculty. You will also benefit from interacting with a group of 35 leading industrial partners, including Amazon, Apple, Google, IBM, and Microsoft.
This will ensure your research is informed by real world case studies and will provide a source of diverse internship opportunities. Moreover we believe that key research insights can be gained by working across the boundaries of conventional groupings.
The MScR is the first part of a longer 1+3 (MSc by Research + PhD) programme offered by the School through the EPSRC.
Our four-year PhD programme combines masters level coursework and project work with independent PhD-level research.
In the first year, you will undertake six masters level courses, spread throughout machine learning, databases, statistics, optimization, natural language processing, and related areas. You will also undertake a significant introductory research project. (Students with previous masters-level work in these areas may request to take three courses and a larger project, instead of six courses.)
At the end of the first year, successful students will be awarded an MSc by Research. From this basis, the subsequent three years will be spent developing and pursuing a PhD research project, under the close supervision of your primary and secondary supervisors.
You will have opportunities for three to six month internships with leading companies in your area, and to participate in our industrial engagement programme, exchanging ideas and challenges with our sponsor companies.
Throughout your studies, you will participate in our regular programmes of seminars, short talks and brainstorming sessions, and benefit from our pastoral mentoring schemes.
The School of Informatics holds a Silver Athena SWAN award, in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology. The School is deploying a range of strategies to help female staff and students of all stages in their careers and we seek regular feedback from our research community on our performance.
Our research groups contain a diverse range of compute clusters for compute and data-intensive work, including a large cluster hosted by the Edinburgh Compute and Data Facility.
More broadly, the award-winning Informatics Forum is an international research facility for computing and related areas. It houses more than 400 research staff and students, providing office, meeting and social spaces.
It also contains two robotics labs, an instrumented multimedia room, eye-tracking and motion capture systems, and a full recording studio amongst other research facilities. Its spectacular atrium plays host to many events, from industry showcases and student hackathons to major research conferences.
Nearby teaching facilities include computer and teaching labs with more than 250 machines, 24-hour access to IT facilities for students, and comprehensive support provided by dedicated computing staff.
Among our entrepreneurial initiatives is Informatics Ventures, set up to support globally ambitious software companies in Scotland and nurture a technology cluster to rival Boston, Pittsburgh, Kyoto and Silicon Valley.
We intend for our graduates to become the research leaders, both in industry and academia, whose work will lead the way in data science. This vision is shared by our industrial supporters, whose support for our internship programme indicates their strong desire to find highly qualified new employees.
You will be part of a new generation of data scientists, with the technical skills and interdisciplinary awareness to become R&D leaders in this emerging area.
Our component research groups already have excellent track-records in post-graduation destinations, including the research labs of industry-leading companies, and post-doctoral research positions in top tier universities.
This two-year Masters programme is for graduates who want a teaching qualification designed to make an explicit difference to the lives of children and young people: it will support you in becoming a beginning teacher with a transformative orientation.
The MSc in Transformative Learning and Teaching programme provides an in-depth and integrated learning experience, with time spent in both University and school sites throughout the two years, allowing you to develop your skills as a beginning teacher over a longer period of time than would be the case in a Professional Graduate Diploma in Education (PGDE Primary and Secondary) programme. You’ll also graduate from this programme with a full masters degree, something that is increasingly seen as desirable for the Scottish teacher workforce as a whole, together with a teaching qualification which will allow you to work across the primary/secondary transition.
Importantly, this programme has been designed and developed in partnership with local authorities. It is future-oriented, drawing on cutting-edge research, and is designed to prepare new teachers for a career in teaching in an ever-changing world, with a particular focus on social justice, sustainability, global perspectives, digital and statistical literacy, and professional inquiry skills.
Pathways to choose from
The programme has a central focus on transformative practice, and, uniquely, will entitle graduates to teach across the primary/secondary transition phase. You will be able to choose from one of the following pathways:
Throughout the duration of the programme students will engage in both university-based learning and site-based learning, with groups of students being placed in school clusters: one cluster in year 1 and a different cluster in year 2. A cluster will typically be one secondary school together with associated primary and nursery provision. Placing you in groups will facilitate collaborative learning and support.
Compulsory courses on the programme will include:
In addition, you will also select a choice course which will allow you to begin to develop specialist interests.
On successful completion of this programme you will:
Successful completion of the MSc in Transformative Learning and Teaching will confer professional registration with the General Teaching Council for Scotland (GTCS), a necessary requirement for teachers in all state schools and most independent schools in Scotland. Professional registration with the GTCS is also recognised as an indicator of high quality in many countries outside of Scotland but you should seek guidance from the education authority in countries outside of the UK to determine whether this MSc will enable you to teach there.
Graduates of this programme will hold a masters degree in Transformative Learning and Teaching, as well as professional registration which will enable them to work across the primary/secondary transition, thereby enhancing their employability both within Scotland and beyond.
Eligible graduates will be entitled to a place on the internationally-renowned Scottish Teacher Induction Scheme, providing a paid one-year guaranteed teaching post with reduced class contact time and support from a school mentor.
Graduates will also be equipped to enter a range of professions related to school teaching, for example, informal education, education development and education policy.