MSc Accounting, Accountability & Financial Management
The MSc in Accounting, Accountability & Financial Management at King’s Colleg...
MSc Applied Statistical Modelling & Health Informatics
Strand, London
INTAKE: September
Program Overview
The MSc Applied Statistical Modelling & Health Informatics at King’s College London is an interdisciplinary program designed to equip students with advanced knowledge in statistical modeling and health informatics. This program is ideal for individuals seeking to apply quantitative and computational techniques to healthcare data analysis, biomedical research, and health policy decision-making. The course is suitable for those who wish to contribute to healthcare innovation, particularly through the application of data-driven insights to improve patient care, clinical outcomes, and public health. Students will gain practical experience in using cutting-edge tools for analyzing large datasets in healthcare contexts.
Curriculum: The curriculum of the MSc Applied Statistical Modelling & Health Informatics program combines applied statistics with health informatics to prepare students for careers in data-driven healthcare research. Core modules include Statistical Inference, Applied Health Data Science, Advanced Health Informatics, and Statistical Modelling in Practice. Students are exposed to statistical software, machine learning techniques, and methods used to model complex healthcare systems. The program also covers topics in health policy, clinical decision support, and bioinformatics, with the opportunity to choose elective modules in areas such as healthcare analytics, big data in health, and epidemiology. A research project or dissertation is required to explore a healthcare-related issue in depth, allowing students to apply their learning to real-world problems.
Research Focus: The research focus of the program centers around using statistical modeling and informatics tools to address pressing issues in healthcare, including the optimization of healthcare delivery, disease prevention, and patient outcome prediction. Faculty members are engaged in pioneering research in health data science, biostatistics, and the application of machine learning techniques in health-related domains. The program encourages students to engage with ongoing research in areas such as genomic data analysis, clinical trials, e-health solutions, and the use of big data to enhance healthcare efficiency and effectiveness. Students are also encouraged to conduct original research in these fields, contributing to advancements in both statistical methodology and health informatics.
Industry Engagement: The MSc Applied Statistical Modelling & Health Informatics program at King’s College London emphasizes strong industry engagement through partnerships with healthcare organizations, research institutions, and private companies. Students have the opportunity to gain practical experience through internships, collaborative research projects, and working alongside industry professionals on real-world healthcare problems. The program has established relationships with NHS Trusts, pharmaceutical companies, and public health agencies, allowing students to apply their academic knowledge to actual health data sets and contribute to innovations in digital health and healthcare analytics. This industry-focused approach ensures that students graduate with hands-on experience and a comprehensive understanding of the real-world challenges in health informatics.
Global Perspective: With the global emphasis on improving healthcare systems and outcomes, the MSc Applied Statistical Modelling & Health Informatics program incorporates a global perspective on healthcare data and informatics applications. King’s College London attracts a diverse student body, including individuals from countries around the world, which provides students with unique insights into international healthcare systems and global health challenges. The program draws on global research collaborations and provides opportunities for students to engage with international health policy, cross-cultural healthcare practices, and global health data management. Graduates of the program are equipped to tackle health informatics challenges on a global scale, making meaningful contributions to global health improvements through data analysis and evidence-based solutions.
Location
Strand, London
Score
IELTS 7
Tuition Fee
£ 40000
Postgraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 65% or equivalent.
English language proficiency:
- IELTS: A minimum overall score of 7.0 with no individual component below 6.5.
- TOEFL: A minimum overall score of 100.
- PTE Academic: A minimum overall score of 76.
- Some postgraduate programs may have specific subject prerequisites or additional requirements.
King’s College London is providing financial support to international students who demonstrate academic excellence and financial need. The university offers a variety of scholarships specifically designed to assist international students in covering tuition fees and living costs while studying in the United Kingdom. These scholarships help make higher education more accessible to students from diverse backgrounds and regions.
King’s College London International Postgraduate Scholarships: King’s College London offers a range of scholarships for international postgraduate students. These scholarships are available for students applying to specific master’s programs and are designed to recognize academic achievement and potential. The scholarships vary in value, with some covering partial tuition fees and others offering full financial support. International students who have a strong academic record and potential for research excellence are eligible for consideration.
Commonwealth Scholarships: King’s College London is part of the Commonwealth Scholarship Commission, which offers scholarships to students from Commonwealth countries. These scholarships cover tuition fees, airfare, and living expenses for international students pursuing postgraduate studies in the UK. They are awarded based on academic excellence and the potential to contribute to the development of the student's home country after completing their studies.
Chevening Scholarships: The Chevening Scholarship is a UK government-funded initiative that provides full financial support for postgraduate students from eligible countries. King’s College London is a participating university for Chevening Scholars, who are selected based on academic merit, leadership potential, and the ability to contribute to their communities. Chevening Scholarships cover tuition fees, travel costs, and a living stipend.
Dean’s Scholarships for International Students: Many departments at King’s College London offer Dean’s Scholarships for international students applying to specific programs. These scholarships are awarded based on academic merit and the student’s potential contribution to their field of study. They may provide partial or full funding for tuition fees and are typically available for high-achieving students who have an excellent academic record.
Country-Specific Scholarships: King’s College London offers country-specific scholarships for international students from specific regions or countries. These scholarships are designed to support students who demonstrate outstanding academic achievement and who are making a positive impact in their home country. Each scholarship may have its own eligibility criteria, including academic qualifications, nationality, and financial need.
Graduates of the MSc Applied Statistical Modelling & Health Informatics program from King’s College London are equipped with the essential skills and knowledge to pursue a wide range of rewarding careers in the rapidly growing fields of health data science, biostatistics, and healthcare analytics. The program’s strong foundation in statistical modeling and health informatics provides graduates with the expertise to apply data-driven insights to healthcare, improving patient outcomes and system efficiencies.
Health Data Scientist: Graduates can work as data scientists within healthcare organizations, utilizing statistical analysis and machine learning techniques to interpret complex health data. They play a critical role in analyzing patient records, clinical trial data, and genomic datasets, contributing to evidence-based medical decision-making and improving healthcare quality.
Biostatistician: Biostatisticians apply advanced statistical methods to healthcare research, often working in areas such as epidemiology, clinical trials, and pharmaceutical research. Graduates can work in research institutes, universities, or pharmaceutical companies to conduct analyses that influence health policies, drug development, and disease prevention strategies.
Health Informatics Specialist: These professionals bridge the gap between healthcare and IT, ensuring that healthcare systems and electronic health records (EHR) are optimized for better patient care. Graduates can work in hospitals, clinics, or public health organizations to design, implement, and maintain effective healthcare IT solutions.
Clinical Data Analyst: Clinical data analysts use statistical techniques to analyze data from clinical trials, health surveys, and patient records. Their work ensures that clinical research is conducted with accurate and reliable data, contributing to the development of new treatments and therapies. They are employed by healthcare providers, research organizations, and pharmaceutical companies.
Public Health Analyst: Graduates can work with public health agencies and government bodies to analyze population health data and inform health policies. By identifying trends in diseases, treatment outcomes, and health behaviors, they help shape national and global health strategies aimed at improving public health.
Healthcare Consultant: Healthcare consultants use their analytical skills to advise organizations on improving healthcare operations, utilizing data insights to enhance healthcare delivery and reduce costs. They work with both private and public sector organizations to ensure healthcare systems are efficient, cost-effective, and patient-centered.
Pharmaceutical Data Analyst: In pharmaceutical companies, graduates can apply their statistical skills to analyze data related to drug development, clinical trials, and regulatory compliance. Their work helps guide the decision-making process for drug efficacy, safety, and approval.
Health Policy Advisor: Graduates with an interest in policy can work in government or international organizations, helping to shape health policies based on data-driven insights. They analyze trends in healthcare outcomes and work on strategies that improve healthcare systems at local, national, or global levels.
Machine Learning Engineer (Healthcare): For those with a strong background in programming, there are opportunities to work as machine learning engineers in healthcare, applying advanced algorithms to large datasets for predictive modeling in areas such as disease diagnosis, patient management, and personalized medicine.
