MBA Master of Business Administration
The MBA program at Durham University is a full-time, intensive course aimed at developi...
MDS Master of Data Science (Digital Humanities)
Durham City
INTAKE: September
Program Overview
Durham University's MDS Master of Data Science (Digital Humanities) is designed for students looking to bridge the gap between data science and humanities disciplines. This program combines core data science techniques with a deep focus on the digital analysis of historical, literary, and cultural materials. Students will acquire the skills to apply computational tools and techniques to the humanities, fostering interdisciplinary research that tackles complex data-driven questions in culture, history, and the arts.
Curriculum: The curriculum blends technical training in data science with humanities-focused applications. Key modules include ‘Introduction to Data Science,’ ‘Data Visualization,’ and ‘Text Analytics and Data Mining.’ Students will also engage with humanities-centered modules that allow them to apply data science techniques to analyze historical texts, cultural artifacts, and other digital resources. The program offers practical experience through data analysis projects and a dissertation, providing students the opportunity to explore specialized topics that intersect both fields of study.
Research Focus: The program places strong emphasis on research, allowing students to engage in digital humanities projects that use data science tools for the analysis of complex datasets in historical, social, and cultural contexts. Students will be introduced to cutting-edge methods, including machine learning, natural language processing, and digital archiving, which are applied to various humanities disciplines. Research activities often align with Durham University's focus on interdisciplinary approaches to digital research.
Industry Engagement: Durham University offers excellent industry connections for students of the MDS Master of Data Science (Digital Humanities). Collaboration with industry professionals and the involvement of experts from both the data science and humanities sectors help students apply their skills to real-world problems. Students are encouraged to participate in collaborative projects and internships with cultural institutions, archives, and tech companies that specialize in digital humanities.
Global Perspective: The MDS Master of Data Science (Digital Humanities) offers a global perspective by addressing the international reach and implications of data science techniques in the humanities. The program encourages students to engage with global datasets, digital archives, and international research collaborations. This perspective ensures that graduates are well-prepared to work in global contexts, especially in fields such as digital preservation, international archives, and cross-cultural data analysis.
Location
Durham City
Score
IELTS 7
Tuition Fee
£ 34000
Postgraduate Entry Requirements:
- Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 60% to 70% or equivalent.
- English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
- IELTS: A minimum overall score of 6.5 with no individual component below 6.
- TOEFL: A minimum overall score of 92, with at least 23 in Listening, Reading, Speaking, and Writing.
- PTE Academic: A minimum overall score of 62 with no individual score below 59.
- Some postgraduate programs may have specific subject prerequisites or additional requirements.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
Durham University offers a range of scholarships and bursaries to both domestic and international students.
Durham University Scholarships and Bursaries: These are awarded to both undergraduate and postgraduate students based on academic excellence, financial need, or specific criteria such as subject area or country of origin.
Durham International Scholarships: These are awarded to exceptional international students who are pursuing undergraduate or postgraduate studies at the university. The scholarship covers a portion of tuition fees and is renewable for the duration of the course.
Government Scholarships: Durham University participates in a number of government scholarship programs, including the Chevening Scholarship and the Commonwealth Scholarship.
College-Specific Scholarships: Some colleges at Durham University offer scholarships and bursaries to their students, such as the Van Mildert College Music Scholarship and the St. Mary's College Travel Grant.
Departmental Scholarships: Some academic departments at Durham University offer scholarships specifically for international students. These scholarships may be discipline-specific or focused on supporting students from specific regions or countries.
Vice-Chancellor's Scholarships: The Vice-Chancellor's Scholarships are prestigious scholarships awarded to exceptional international students across all academic disciplines. These scholarships cover the full tuition fees and provide a generous living allowance for the duration of the program. The selection process is highly competitive and based on academic merit and leadership potential.
Graduates of the MDS Master of Data Science (Digital Humanities) program have promising career opportunities that bridge the gap between data science and humanities research.
Data Analyst in Cultural Institutions: Graduates can work in museums, galleries, and cultural institutions, analyzing data to uncover insights about historical artifacts and artworks.
Academic Research: Graduates may pursue research roles in academic institutions, using data science techniques to advance humanities research.
Archivist: Graduates can work as archivists, using data science tools to manage and digitize historical documents and archives.
Digital Humanities Specialist: Graduates may work as digital humanities specialists, collaborating with researchers to apply data science methods in humanities projects.
Data Journalist: Graduates can become data journalists, using data analysis to tell compelling stories related to historical events and cultural trends.
Information Manager: Graduates may work as information managers, organizing and curating digital collections in libraries and archives.
