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 (Social Analytics)
Durham City
INTAKE: September
Program Overview
Durham University's Master of Data Science (Social Analytics) is a conversion course designed to equip students from various academic backgrounds—including social sciences, arts, and humanities—with the skills necessary to process, analyze, and interpret complex social data. The program emphasizes contemporary data science techniques and their application to social science research, preparing graduates for careers that require both data proficiency and a deep understanding of social dynamics.
Curriculum: The curriculum offers a blend of core data science modules and specialized social analytics courses. Shared core modules across the suite of MDS courses build wider skills in statistical and machine learning, while subject-specific modules integrate data science with social science, equipping students with the skills to design and carry out social data science research and communicate it effectively across various settings.
Research Focus: The program emphasizes the development of research skills pertinent to social data science. Students are trained to design and conduct research that leverages data science methodologies to address complex social issues. The curriculum fosters critical thinking and analytical abilities, enabling students to contribute to advancements in social analytics through rigorous research.
Industry Engagement: Durham University maintains strong links with various industries, providing students with opportunities to apply their data science skills in practical settings. The program equips students to process and analyze data, communicate findings to diverse audiences, and apply this knowledge to practical situations, thereby enhancing their employability in sectors that require expertise in social analytics.
Global Perspective: The Master of Data Science (Social Analytics) program incorporates a global outlook by addressing social data challenges that are pertinent worldwide. Students engage with diverse datasets and case studies, preparing them to apply their skills in various cultural and international contexts. This global perspective ensures that graduates are well-equipped to tackle social data science issues on an international scale.
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 (Social Analytics) program have exciting career prospects in various industries and sectors that involve the analysis of social data.
Social Media Analyst: Graduates can work in marketing and advertising firms, analyzing social media data to understand consumer behavior and sentiment.
Market Research Analyst: Graduates may pursue roles in market research companies, using social data to assess market trends and customer preferences.
Social Policy Analyst: Graduates can work in government agencies, using social data to inform policy decisions and assess the impact of policies.
Academic Research: Graduates may pursue research positions in academia, conducting studies on social phenomena using data science methods.
Public Relations Specialist: Graduates can work in public relations and communications, using social data to shape brand reputation and public perception.
Community Manager: Graduates may find opportunities as community managers, engaging with online communities and analyzing social interactions.
