MSc Health Informatics with Data Science

Leeds

 

INTAKE: September

Program Overview

This 12-month full-time master's program offers comprehensive training in health informatics and data science, focusing on the application of information technology to solve complex healthcare challenges. Developed by experienced academics and professionals, the course is tailored for both recent graduates and current healthcare professionals seeking to advance their careers in this rapidly evolving field. ​

Curriculum: The curriculum encompasses a blend of core and optional modules, allowing students to tailor their learning experience to align with their career aspirations. Core modules include Statistics and Modelling for Health Sciences, Foundations of Health Data, Informatics and Data Science in Health Care and Research, and Law, Ethics and Governance for Health Data Science. These modules provide a solid foundation in statistical analysis, data management, and the ethical considerations pertinent to health data science.

Research Focus: The University of Leeds emphasizes research-led teaching, integrating multidisciplinary research expertise into the curriculum. Students are encouraged to engage in innovative research projects that address current challenges in health informatics and data science. The faculty's active involvement in the Research Methods Incubator of the UK National Institute for Health and Social Care Research (NIHR) Academy provides students with opportunities to contribute to shaping the informatics and data science agenda for health. ​

Industry Engagement: The program maintains strong collaborations with leading healthcare providers and multinational companies investing in health information technology. These partnerships offer students practical insights and opportunities to apply their knowledge in real-world settings. Guest lectures, workshops, and potential placements facilitate direct interaction with industry professionals, enhancing employability and understanding of the current healthcare landscape. ​

Global Perspective: Recognizing the international nature of healthcare challenges, the course incorporates global case studies and perspectives. Students explore how data science and informatics can be applied across diverse healthcare systems worldwide, preparing them to operate effectively in various cultural and professional contexts. This global outlook ensures graduates are equipped to address health informatics challenges on an international scale.

Pollster Education

Location

Leeds

Pollster Education

Score

IELTS 7

Pollster Education

Tuition Fee

£ 29250

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 MSc Health Informatics with Data Science program from the University of Leeds have diverse and promising career opportunities in fields related to healthcare, data analytics, information technology, and research. 

Health Data Analyst: Graduates can work as health data analysts, extracting insights from large datasets to support clinical decision-making, public health initiatives, and healthcare quality improvement.

Health Informatics Manager: Graduates can become health informatics managers, overseeing the implementation and optimization of electronic health record systems and data analytics solutions.

Data Scientist in Healthcare: Graduates can specialize in healthcare data science, applying machine learning and predictive analytics to develop models for disease detection, treatment optimization, and patient care.

Healthcare IT Consultant: Graduates can work as consultants, advising healthcare organizations on the selection, integration, and security of information systems for improved data management.

Health Researcher: Graduates can contribute to medical research by analyzing health data to identify trends, patterns, and correlations that inform medical discoveries and advancements.

Healthcare Policy Analyst: Graduates can work in healthcare policy organizations, using data-driven insights to shape policies that improve healthcare accessibility, quality, and patient outcomes.

Medical Technology Developer: Graduates can work in the development of medical technology solutions, leveraging data science to create innovative tools for diagnostics, treatment, and patient monitoring.


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