MBA Master of Business Administration
The MBA program at the University of Leeds is designed to develop well-rounded business...
MRes Data Science and Analytics for Health
Leeds
INTAKE: September
Program Overview
The MRes in Data Science and Analytics for Health is an intensive research-focused program that blends theoretical knowledge with practical experience. Students will gain a deep understanding of how data science tools and techniques can be applied to health-related challenges, from clinical trials and epidemiology to personalized medicine and healthcare management. The program emphasizes a hands-on approach, enabling students to work with real-world healthcare datasets and explore practical solutions to improve health outcomes through data analytics. Students will also engage in independent research, culminating in a substantial dissertation that contributes to the field of healthcare analytics.
Curriculum: The curriculum covers a wide range of topics essential for working in healthcare data science. Key modules include programming for data science, machine learning techniques, health data analytics, statistical methods, and data visualization. Additionally, students will be introduced to healthcare systems and learn how data science is used to improve clinical practice, health policy, and patient outcomes. The program places a strong emphasis on the practical application of data science, offering opportunities for students to collaborate on real-world healthcare projects, work with industry professionals, and gain hands-on experience with health-related data.
Research Focus: The MRes program places a significant emphasis on research, with students being encouraged to explore new methodologies and techniques in the context of healthcare data. Areas of research include predictive modeling, clinical informatics, epidemiological studies, and public health data analysis. Students will engage in high-impact research projects, working closely with faculty members who are experts in the fields of data science and health analytics. The program prepares students for careers in academia, industry, and healthcare, providing them with the tools to drive innovation in healthcare data science.
Industry Engagement: The University of Leeds has strong links with the healthcare sector, offering students numerous opportunities for industry engagement. Through partnerships with hospitals, research institutions, and healthcare technology companies, students gain access to valuable industry insights and hands-on experience. The program also includes opportunities for internships and collaborative projects with healthcare organizations, allowing students to apply their data science skills in real-world healthcare settings. This industry engagement helps ensure that graduates are well-prepared for careers in the fast-growing field of healthcare data analytics.
Global Perspective: The MRes in Data Science and Analytics for Health attracts students from around the world, providing a global learning environment. Students will be exposed to international perspectives on healthcare data analytics and have the opportunity to work on projects with global significance. The program prepares graduates to address health challenges on a global scale, with an understanding of how data science can be applied to diverse healthcare systems and populations.
Location
Leeds
Score
IELTS 6.5
Tuition Fee
£ 28750
Postgraduate Entry Requirements:
- Academic Qualifications: International students applying for postgraduate programs at the University of Leeds are generally required to have a minimum academic achievement of 55% or above in their previous studies. This requirement may vary depending on the course and country of origin.
- English Language Proficiency: Similar to undergraduate programs, international students applying for postgraduate programs must demonstrate their English language proficiency. The required English language test scores are as follows:
- IELTS: A minimum overall score of 6.5 with no individual component score below 6.0.
- TOEFL: A minimum overall score of 88, with no individual component score below 19.
- PTE: A minimum overall score of 64, depending on the course, with no individual component score below 60.
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.
The University of Leeds offers a range of scholarships and funding opportunities to support students in their academic pursuits. These scholarships are awarded based on various criteria such as academic excellence, financial need, and specific areas of study.
Dean's Business School Scholarship: This scholarship is specifically for undergraduate students applying to the Leeds University Business School. It offers a cash award of up to £2,000 per year of study, based on academic achievement and potential.
Leeds Masters Scholarships: These scholarships are available for UK/EU and international students pursuing a master's degree at the University of Leeds. The scholarships cover partial tuition fees and are awarded based on academic excellence.
Research Scholarships: The University of Leeds also offers research scholarships for students pursuing a Ph.D. or research-based master's program. These scholarships provide funding for tuition fees and living expenses.
Graduates of the MRes Data Science and Analytics for Health program from the University of Leeds have diverse and promising career opportunities in fields related to healthcare data analytics, medical research, and health informatics.
Healthcare Data Analyst: Graduates can work as data analysts, utilizing their expertise to analyze healthcare data and provide insights for clinical decision-making, research, and health policy.
Health Informatics Specialist: Graduates can become health informatics experts, contributing to the development and optimization of healthcare information systems that support data-driven healthcare.
Medical Researcher: Graduates can work in medical research, collaborating with clinicians to analyze data and contribute to studies that advance medical knowledge and patient care.
Health Technology Developer: Graduates can work in health technology companies, developing data-driven solutions such as predictive models, personalized treatment plans, and remote patient monitoring systems.
Public Health Analyst: Graduates can contribute to public health initiatives, analyzing health data to identify trends, outbreaks, and areas for intervention.
Academic Researcher: Graduates can pursue academic careers, conducting research at universities and institutions, publishing findings, and teaching future professionals in data science for healthcare.
