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 (Bioinformatics and Biological Modelling)
Durham City
INTAKE: September
Program Overview
The MDS Master of Data Science (Bioinformatics and Biological Modelling) at Durham University is a cutting-edge program designed to equip students with advanced data science skills tailored to biological and biomedical research. This interdisciplinary course integrates computational techniques, big data analytics, and biological modeling to help students analyze complex biological systems. The program is ideal for students looking to develop expertise in bioinformatics, genomic analysis, and computational biology.
Curriculum: The curriculum combines core data science modules with specialized courses in bioinformatics and biological modeling. Students will gain a strong foundation in machine learning, statistical modeling, and computational biology, with a focus on applying these techniques to real-world biological datasets. Key subjects include Genomic Data Analysis, Systems Biology, Machine Learning for Life Sciences, and Structural Bioinformatics. Additionally, students will undertake a Data Science Research Project, allowing them to work on real-life bioinformatics challenges such as genetic mapping, disease modeling, or drug discovery.
Research Focus: The program emphasizes research in biological data science, computational modeling, and biomedical informatics. Students will engage in projects that use data-driven approaches to solve complex biological problems, such as protein structure prediction, gene expression analysis, and evolutionary modeling. The program fosters strong analytical and problem-solving skills, preparing students to contribute to groundbreaking research in genomics, personalized medicine, and biotechnology.
Industry Engagement: Durham University maintains strong collaborations with the biotechnology, pharmaceutical, and healthcare industries. Students benefit from industry-led projects, networking opportunities, and potential internships with leading biotech firms, research institutions, and healthcare organizations. Graduates of this program will be well-equipped for careers in biomedical research, bioinformatics consultancy, pharmaceutical development, and computational biology.
Global Perspective: The MDS Master of Data Science (Bioinformatics and Biological Modelling) adopts a global approach by addressing worldwide challenges in genomics, disease control, and personalized medicine. Students engage with international datasets, collaborate with global research teams, and develop solutions applicable across healthcare and life sciences industries worldwide. This global focus ensures that graduates can apply their skills in international biomedical research, public health initiatives, and global biotech companies.
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 (Bioinformatics and Biological Modelling) program have promising career opportunities in various sectors that combine data science with biological research.
Bioinformatics Analyst: Graduates can work in research institutions or pharmaceutical companies, analyzing biological data to support drug discovery and medical research.
Biological Modelling Specialist: Graduates may pursue roles in computational biology, building models to simulate and study biological systems.
Genomics Data Scientist: Graduates can work in genomics research, analyzing genomic data and identifying genetic variations associated with diseases.
Biomedical Data Analyst: Graduates may find opportunities in the healthcare industry, analyzing medical data to improve patient care and treatment outcomes.
Research Scientist: Graduates can work in research labs, utilizing data science techniques to advance biological research and scientific knowledge.
