MSc Health Analytics and Technologies (Online)
MSc Health Analytics and Technologies (Online)
Award
MSc
Start Date
14/09/2026
Duration
12 months
Mode
Full-time Distance Learning
Location
University of Greater Manchester
Health data plays a critical role in the effective management of healthcare services and big data is revolutionising medical and public health research. If you're a graduate with a passion to improve healthcare through data mining and analysis, the University of Greater Manchester's online MSc in Health Analytics and Technologies will support you in developing a breadth of in-depth knowledge and practical capability, ready for a career in this rapidly developing field.
Course Overview
Health data is big business. The global healthcare analytics market size is projected to reach over $198 billion by 2033 (1). Healthcare providers seek to streamline healthcare processes and maximise patient and user experience. Governments need to make life-saving public health predictions. Digital technologies are accelerating discoveries by medical research organisations. All these organisations need highly skilled professionals to process and interrogate healthcare data to identify trends, patterns, and root causes. By studying the University of Greater Manchester's MSc Health Analytics and Technologies degree you can develop essential knowledge and understanding of data analysis methods and the associated technological principles and practices while studying through a supportive, interactive online learning environment.A distinctive feature of this programme is the development of essential computer programming and data analytics skills; no prior expertise is assumed. We offer the knowledge and skills needed to interrogate and make sense of data, unlock vital insights and communicate your discoveries, so you can help turn healthcare data into actionable insights that support good decision-making in the health sector. Our expert and dedicated team will cover essential computing, data analytics, business, marketing, and life skills, including leadership, advanced analysis, creativity and problem-solving techniques. We'll support you as you learn to provide insight and analysis through clear visual, written and verbal communication.
Within each module, we'll explore relevant issues, strategies and practices, using live case studies, guest speakers from industry, and the latest research evidence. You'll have a choice of option modules covering specialist topics, and you'll agree on a capstone project with your supervisors that is completely tailored to your experience and specialism.
We focus on helping you develop industry-relevant knowledge and skills so that you are well-prepared for a career in healthcare data analytics and technologies. We'll also support you in building lifelong learning skills so you can take ownership of your professional development for the future and maximise your potential for success.
What you will learn
- Health informatics and healthcare data management
- Programming and data analytics techniques for healthcare applications
- Data visualisation, machine learning, and predictive analytics
- Digital transformation and emerging technologies in healthcare
- Research, problem-solving, and professional practice
Prefer to study on campus? This programme is also available as an on-campus course at the University of Greater Manchester.
- 12-month full-time MSc Health Analytics and Technologies
- 18-month full-time MSc Health Analytics and Technologies: Extended
- 24-month part-time MSc Health Analytics and Technologies
1) https://www.grandviewresearch.com/industry-analysis/healthcare-analytics-market accessed on 15 May 2026
Highlights
- Practical experience with healthcare data and analytics tools
- Industry-informed modules covering health informatics and digital transformation
- Real-world healthcare datasets and applied project work
- Opportunities to engage with healthcare professionals and industry partners
- Strong focus on employability and practical analytical skills
Key Features
- Teaching and supervision are delivered by dedicated staff chosen for their expertise and experience in fields relevant to health informatics and big data, relevant technologies and your professional development needs.
- We offer an engaging programme of visiting speakers so you can enjoy masterclasses with industry professionals, gaining insights into contemporary issues, developments and practices in health data analysis, digital technologies and the broader commercial environment.
- Industry partners provide relevant, up-to-date input to our teaching and live student projects. Our team of highly knowledgeable and enthusiastic lecturers offer live online sessions and one-to-one support, ensuring you can access help and advice when you need it.
- Upon graduation, you'll be able to showcase your expert knowledge to employers through your Professional Dissertation. This independent and substantial body of work will demonstrate your mastery of an aspect of health analytics and technologies, as well as your postgraduate-level skills in research and critical thinking.
Entry Requirements
- You should have at least a lower second class (2.2) honours degree (or equivalent) in any subject or five years of relevant work experience. You do not need prior experience in computer programming or data analytics.
- You must also have GCSE Mathematics at grade C or above or grade 4 to 9. Please get in touch with us for details of other acceptable qualifications. You'll need to attain a minimum mark in a diagnostic mathematics test if you don't have an acceptable mathematics qualification.
- If you wish to gain admission on the basis of five years of relevant work experience, you'll be required to attend an online or face-to-face interview and present evidence in the form of a portfolio of work and examples that demonstrate your suitability and aptitude for the course. The evidence should be presented in electronic format and attested by an independent person. The independent person could be a current or former lecturer or an employer with a more senior role than yourself. The University is looking for candidates who can demonstrate a clear style and commitment to their professional practice and who will benefit from experiencing this area of study.
- As this is an online course, you’ll need access to a computer or tablet capable of running the necessary software, along with a webcam, microphone, and a sufficient broadband connection. (We recommend a laptop with a minimum specification of Intel Core i5, or equivalent, with at least 8GB RAM, along with an internet connection offering at least 1.5 Mbps up and down). We recommend that you have at least two devices set up so that you can attend lectures and undertake coursework more easily. You’ll also need appropriate IT skills. In particular, you’ll need to be able to access and use the University of Greater Manchester’s virtual learning environment, Moodle and the Zoom video communication platform. Please contact the programme leader for details if you are uncertain that you’ll be able to meet these requirements.
- We'll consider applications where appropriate work experience can be demonstrated in lieu of, or in addition to, the published academic qualifications in line with the University’s Recognition of Prior Experiential Learning (RPEL) procedures.
- If English isn’t your first language, you’ll also need IELTS 6.0 with no less than 5.5 in any band (or equivalent). We also accept a range of other English language qualifications – please visit our English Language Requirements web page for more details.
Where changes are made to material information contained in this course description or a decision is taken to suspend a course between the offer of admissions and enrolment, we will inform applicants at the earliest possible opportunity and will outline the various options available to the applicant.
Career Opportunities
Graduates of this programme are well prepared for roles such as:
- Health Data Analyst
- Health Informatics Specialist
- Clinical Data Analyst
- Digital Health Consultant
- Healthcare Business Intelligence Analyst
The programme also provides a strong foundation for further specialist study or progression to doctoral research.
What can I do with this qualification?
Health data analysts are in high demand, and health analytics roles are diverse. Big data has intensified the need for health analysts who can create data dashboards, graphs and visualisations to communicate insights. You may find employment looking for trends and patterns that help healthcare providers make business decisions or predict demand for services. You could seek a career in the pharmaceutical, biotechnology or medical research industries mining and analysing large datasets, drawing conclusions and presenting actionable insights to managers so that they can drive the business forward. Alternatively, you might work for the government or a national institute exploring population health and the links between genetics, the environment and disease through data science.
Alternative career options
Graduates may also progress into related roles. Some of these roles may require relevant experience and/or postgraduate study. Examples of possible careers include:
- Health Technology Consultancy
- Digital Transformation and Innovation
- Information Systems Management
- Healthcare Policy and Strategy
- Teaching and Academic Research (with further study)
Fees & Funding
Home/EU Fees
No fee information is currently available, please contact the University of Greater Manchester’s Academic Fees team by emailing AcademicFees@greatermanchester.ac.uk for more information.
International Fees
No fee information is currently available, please contact the University of Greater Manchester’s Academic Fees team by emailing AcademicFees@greatermanchester.ac.uk for more information.
Bursaries
Click here for more information on our Master's Bursaries.
Important note regarding tuition fees: EU nationals who meet residency requirements (have settled or pre-settled status) may be eligible for 'Home' fee status. If you do not meet these residency requirements, overseas fees will apply. Irish citizens living in the UK or Ireland will be eligible for 'Home' fee status under the Common Travel Area arrangement. Please read the student finance for EU students web page on www.gov.uk for information.
Home Undergraduate Tuition Fee Adjustment
The tuition fee applicable to the first year of your programme of study is confirmed in your offer letter. The tuition fee set is based on the regulations and guidance in force at the time of offer but remains subject to adjustment in accordance with any government-approved inflationary increase. The University reserves the right to amend tuition fees for all years of study, including the first year, by no more than the maximum increase permitted under legislation and regulatory guidance issued by the UK Government and the Office for Students.
Where such increases are approved, they will not exceed the rate of inflation, as measured by an appropriate index such as the Consumer Prices Index (CPI), or any successor measure specified by government. The University will apply any adjustment consistently across affected student cohorts and will give reasonable notice to students of any confirmed change to the published fee before the start of the relevant academic year.
This approach ensures that tuition fees remain compliant with applicable legislation, proportionate to inflationary changes, and consistent with government policy linking permitted fee uplifts to the maintenance of high-quality education and outcomes. For more information, please refer to the government guidance at: gov.uk – Universities to deliver better outcomes in return for full fees.
Postgraduate and International Tuition Fee Adjustment
The tuition fee applicable to the first year of your programme of study is confirmed in your offer letter. The University reserves the right to amend tuition fees for subsequent years of study in accordance with its Course Fees Policy. Where such increases are approved, they will not exceed the rate of inflation, as measured by an appropriate index such as the Consumer Prices Index (CPI), or any successor measure specified by government. The University will apply any adjustment consistently across affected student cohorts and will give reasonable notice to students of any confirmed change to the published fee before the start of the relevant academic year.
How to apply
Home Applicants
You may apply directly to the University using the University's online application form. Please select your chosen start date from the list below:
You should have to hand:
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Details of the educational establishments you attended and dates
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Your certificates for the qualifications you are using to gain entry to the course – you will need to enter the completion date and upload copies
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Details of any employment history including name, address, dates and role
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Personal statement – this can be either input into the relevant field or uploaded separately
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Details including e-mail addresses of two referees, at least one of which should be someone who can provide an academic reference
Please make sure any documents you wish to upload in support of your application are in pdf or jpeg format. Personal statements may be word documents.
Please ensure your data is correct at each stage of the application before you proceed to the next page. If you use the back button at any time during the application, you should check the validity of the data you have already input.
If you experience difficulties during the application process, contact the Admissions Team on 01204 903394 or admissions-team@greatermanchester.ac.uk
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Apply online: University of Greater Manchester MSc Health Analytics and Technologies (online) - International applicants - 14 September 2026
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Apply online: University of Greater Manchester MSc Health Analytics and Technologies (online) - Home applicants - 14 September 2026
International Applicants
The University welcomes applications from international students from all over the world. We try to make the application process as simple and as fast as possible for our international applicants.
How you apply is determined by your current location and what you are choosing to study:
- Apply direct to the University. Links for the next available intakes of this course are shown below. Please click the link which will direct you to the online application form. Please read the user guidance before completing this.
- Apply via one of our approved in-country referral partners. A list of our partners may be found on the International pages of this website.
- Apply via UCAS for courses starting in September only – visit www.ucas.com.
Should you have any queries please contact the International Team on +44 (0) 1204 903110 or email international@greatermanchester.ac.uk
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Apply online: University of Greater Manchester MSc Health Analytics and Technologies (online) - International applicants - 14 September 2026
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Apply online: University of Greater Manchester MSc Health Analytics and Technologies (online) - Home applicants - 14 September 2026
Teaching & Assessment
Teaching is delivered fully online through a synchronous distance learning model, with a primary emphasis on scheduled live sessions that enable real-time interaction, discussion and applied problem-solving. Sessions include interactive seminars, guided technical activities and collaborative tasks, supported by digital learning resources.
You will prepare through guided independent study using materials such as readings, recorded content and practical exercises. This flipped approach enables live sessions to focus on application, analysis and deeper engagement.
Practical skills are developed through virtual labs, simulations and hands-on technical activities using industry-relevant tools and cloud platforms.
Assessment is conducted fully online through coursework, projects and applied tasks, with regular formative and summative feedback provided throughout each module.
Modules
The modules listed below may be a mixture of compulsory and optional. You may not have the opportunity to study all the modules shown as part of the course.
- Research Methods
- Project
- Professional Practice
- Health Informatics
- Programming for Data Analytics
- Digital Transformation in Health
- Data Analysis and Visualisation
- Data Mining and Machine Learning
Assessment methods
| Level | Assessment method |
|---|---|
| Level 1 | Coursework 100% |
Learning Activities
| Level | Activity |
|---|---|
| Level 1 | Guided independent study 83% Scheduled learning and teaching activities 17% |
The university will use all reasonable endeavours to deliver your course as described in its published material and the programme specification for the academic year in which you begin your course. The university considers changes to courses very carefully and the university will minimise any changes. Please be aware that our courses are subject to review on an ongoing basis and changes may be necessary due to legitimate staffing, financial, regulatory and academic reasons. The content of course modules and mode of associated assessments may be updated on an annual basis. This is to ensure that all modules are up-to-date and responsive to employment and sector needs. The published course material and the programme specification contain indicative ‘optional modules’ that may be subject to change due to circumstances outside of our control. For this reason, we cannot guarantee to run any specific optional module.
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Programme Contacts
Disclaimer: The “Greater Manchester Way” represents our preferred teaching and learning approach; however, not all courses follow a block-teaching model. While course structures and delivery patterns may vary to meet Professional, Statutory and Regulatory Body (PSRB) requirements, all courses benefit from the GM Way approach to curriculum design and assessment. Applicants and students should refer to individual course specifications for the most accurate and up-to-date information.
