12 Months On Campus Masters Program
The MSc Data Science and Analytics for Health equips students with the technical and analytical skills to become key contributors to the digital revolution in healthcare. This program is ideal for graduates from quantitative disciplines seeking to apply data science techniques to health-related challenges.
Curriculum Structure
Semester 1:
Students engage in core modules such as Data Science in Health, Statistical Methods for Health Data, and Programming for Health Data Science. These modules lay the foundation in statistical analysis, programming, and the application of data science techniques to health data.
Semester 2:
Building upon the first semester, students delve into modules like Machine Learning in Health, Health Data Visualisation, and Big Data Analytics in Healthcare. These courses focus on advanced analytical methods, data visualization techniques, and handling large-scale health datasets.
Focus areas: "Health data analysis, statistical methods, programming, machine learning, big data analytics, health data visualization, independent research"
Learning outcomes: "Develop proficiency in statistical and programming skills for health data analysis; apply machine learning techniques to health datasets; effectively visualize and interpret health data; conduct independent research in health data science"
Professional alignment (accreditation): "Designed to meet the needs of the evolving healthcare industry, preparing graduates for roles in health data analytics, digital health, and healthcare research"
Reputation (employability rankings): "The University of Liverpool is recognized for its strong emphasis on research and employability, with graduates from this program well-equipped for careers in health data science and analytics"
The MSc Data Science and Analytics for Health, at the University of Liverpool offers students rich experiential learning opportunities by providing access to state-of-the-art facilities, advanced laboratories, and real-world projects that develop practical skills critical to computing innovation. Students work in dedicated labs equipped with advanced software platforms, high-speed computing networks, and specialized equipment such as servers, robotics kits, and embedded devices that support research and development in areas like algorithms, AI, and cybersecurity.
Experiential learning opportunities include:
Access to five modern teaching labs with high-performance servers, embedded systems (Arduino, Xilinx Zynq), and robotics platforms such as Kilobot swarm robots, Aldebaran Nao, and Robo Builder.
Use of software tools including Matlab/Simulink, LabVIEW, Visual Studio, and Virtual Reality interfaces like Oculus Rift for immersive testing.
Hands-on projects in modules involving Data Analytics, Cyber Security, Internet of Things, and High-Performance Computing, which provide real-world application of theoretical knowledge.
Independent dissertation projects allowing students to work closely with faculty on cutting-edge research or industrial challenges.
Participation in workshops and seminars led by leading academics and industry experts, providing insights into trending technological developments.
Full access to the University of Liverpool Library digital resources, supporting research and study with extensive computing literature.
This practical exposure ensures graduates develop not only theoretical prowess but cement their skills working with technologies shaping the future of computer science
Graduates of the MSc Data Science and Analytics for Health at the University of Liverpool develop advanced skills in health data analysis, predictive modelling, and data-driven decision-making, qualifying them for roles such as Health Data Scientist, Clinical Data Analyst, Public Health Informatics Specialist, and Healthcare Business Analyst. The program combines computational and statistical techniques with healthcare expertise to improve patient outcomes and healthcare delivery.
Liverpool’s Careers Service offers targeted support including career coaching, employer networking events, internship placement assistance, and guidance on professional certifications in health data science.
Employment rates are strong for graduates, with typical starting salaries between £28,000 and £50,000 depending on experience and specific health sector roles.
The university collaborates with NHS Trusts, Liverpool Health Partners, and pharmaceutical companies, providing students opportunities to work on live projects, internships, and research partnerships.
The MSc program is designed in alignment with industry standards, ensuring long-term academic and professional accreditation value for careers in health analytics and informatics.
Graduates are equipped to handle complex health datasets, contribute to digital health innovations, and influence policy and operational decisions in healthcare.
Further Academic Progression:
Graduates may pursue PhD research in health informatics, epidemiology, or data science, or advance with professional certifications and leadership roles in healthcare analytics and data science research.
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