MSc Advanced Data Science with Health

1 Year On Campus Masters Program

Newcastle University

Program Overview

The MSc Advanced Data Science with Health combines advanced data science techniques with health‑related applications, preparing students to analyse complex medical and health datasets. It suits graduates from computing, statistics, or life sciences who want careers in health analytics, digital health, or healthcare research.


Curriculum Structure

Semester 1:
Students take core modules such as Foundations of Statistics and Data Science, Computing Foundations for Data Science, and Machine Learning with Project. These build skills in statistical modelling, programming, and initial machine learning applications relevant to health data.

Semester 2:
They study optional specialised modules like Time Series Analysis, Clinical Trials, Survival Analysis, or Decision Modelling for Health Data Science. These allow students to apply statistical and computational methods to health and clinical datasets, preparing them for real‑world challenges.


Focus areas: “Health data analytics, machine learning, statistical modelling, clinical trial and survival analysis, independent project”
Learning outcomes: “Apply statistical and computational methods to health datasets; conduct independent research or industry‑linked projects; develop data‑driven solutions in healthcare; gain programming and analytical skills relevant to health sectors”
Professional alignment (accreditation): “Meets industry needs in healthcare analytics, digital health, and applied health research; integrates practical project experience”
Reputation (employability rankings): “Newcastle University is highly ranked in UK statistics & data science; graduates progress to roles in health tech, clinical research, and public health analytics.”

Experiential Learning (Research, Projects, Internships etc.)

If you're looking to specialise in one of the most transformative and in-demand areas of technology, the  MSc Advanced Data Science with Health at Newcastle University is designed to give you a deep, practical, and industry-relevant skill set. This programme delves into the advanced principles and practices of cloud-based systems, from distributed architectures and virtualization to security and scalable service design. You'll be based in our School of Computing, which boasts a fantastic reputation for research and strong industry links, ensuring your learning is at the forefront of what businesses need.

Your learning is intensely practical, focused on building and managing systems in cloud environments:

  • Specialist Cloud and Networking Laboratories: You will have access to our specialist labs equipped with the hardware and software to build and test cloud infrastructures. This includes virtualised environments for practical work in cloud configuration, containerisation with tools like Docker and Kubernetes, and software-defined networking.

  • Industry-Standard Cloud Platforms & Tools: You will gain direct, hands-on experience with the leading cloud platforms that dominate the industry. This includes practical work with Amazon Web Services (AWS) and Microsoft Azure, as well as tools for infrastructure as code, automation, and cloud security.

  • Research-Informed Teaching & Projects: You'll be taught by academics with research strengths in scalable systems and networking. A core part of your experience will be practical projects where you'll design, deploy, and manage applications in the cloud, addressing real-world challenges in scalability and security.

  • Collaborative Team Projects: The programme includes team-based assignments that simulate a professional DevOps environment. You'll work collaboratively to build and deploy cloud-based solutions, using agile methodologies and version control systems like Git.

  • Individual MSc Project: The programme culminates in a significant individual project. This is your opportunity to specialise deeply in an area like cloud security, distributed systems, or serverless architecture, creating a substantial piece of work for your professional portfolio.

Progression & Future Opportunities

Graduates of the MSc Advanced Data Science with Health at Newcastle University develop expert-level skills in analyzing complex healthcare datasets, enabling them to address real-world challenges in medical research, hospital management, and public health strategy. Typical roles include Health Data Scientist, Biostatistician, Clinical Data Analyst, and Public Health Analyst. The program’s flexible modules and research-driven approach prepare graduates for impactful careers in healthcare analytics and decision-making.​

  • Newcastle’s Careers Service offers tailored support such as career coaching, employer networking, job fairs, CV workshops, and access to industry placements, facilitating graduate employment in top healthcare and data science organizations.​

  • Graduates enjoy strong employment outcomes with typical starting salaries between £28,000 and £50,000, depending on role, experience, and sector.​

  • The course benefits from partnerships with NHS, NICE, WHO, and pharmaceutical companies like GSK and Boehringer-Ingelheim, providing students with internship opportunities, guest lectures, and project collaborations.​

  • The program is regularly updated with strategic advice from an Industrial Advisory Board, ensuring long-term accreditation and alignment with evolving healthcare data standards.​

  • Graduates demonstrate advanced competencies in data governance, clinical trials analysis, survival analysis, and health informatics, contributing to innovation in healthcare delivery.​

Further Academic Progression:
Graduates can progress to PhD research in health data science, clinical informatics, or epidemiology, or pursue advanced certifications and leadership roles in healthcare analytics and research.​

Program Key Stats

£32,700 (Annual cost)
£
£ 50
Sept Intake : 30th Jul


No
Yes

Eligibility Criteria

3 or 4 Years

N/A
N/A
N/A
N/A
6.5
90
2:1
1220
29

Additional Information & Requirements

Career Options

  • Software Developer
  • Database Administrator
  • Computer Hardware Engineer
  • Computer Systems Analyst
  • Computer Network Architect

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