MSc Digital Health & Artificial Intelligence

• Research Methods & Professional Issues: This unit provides an overview of different research methods used to address scientific research questions. It covers aspects of research design, implementation and how they apply to solving digital health and artificial intelligence based challenges in a quantitative, qualitative or mixed fashion.

• Foundations of Health Information Systems: This unit aims to help you learn the fundamentals of health information systems while introducing key concepts, principles, processes and related issues, and carrying out relevant activities in the analysis and design of health information systems. Further, the unit will cover health data generation, compilation, analysis, synthesis, communication and analytics. You will develop a good understanding of the legal and ethical framework surrounding the professional implementation of health information systems and use of electronic health data.

• Artificial Intelligence: The aim of this unit is to provide you with an introduction to the first principles and techniques that are employed in the greater field and sub-fields of Artificial Intelligence (AI), together with the skills and knowledge required to employ AI techniques for solving real-world and synthetic problems.

  You will approach AI from a Computer Science perspective, with focuses given to the challenges faced within the field, nature inspired algorithms, and their applications to complex real-world problems.

• Accessibility & Assistive Technology: The aim of this unit is to provide you with an introduction to understanding diverse user needs, while focusing on the challenges caused by temporary, situational or lifelong disabilities. It will specifically lead you to acquire the skills and techniques to conduct research concerning people with disabilities and inform the design of assistive technology which overcomes their specific tasks and challenges.

• Individual Masters Project: You will develop a good understanding of the characteristics and implications which are inherent in the solution of a complex, real-world digital health and AI oriented problem. This will be achieved within the context of a substantial, independently conducted research and development work.

Option units (choose one semester 1)

• Neuronal Analysis: This unit provides you with a focus on advanced models and data analysis methods for understanding the human brain function at neuronal levels. The mathematical modelling is achieved using highly performing parallel data processors which imitate biological neuronal network functions.

• Blockchain & Digital Futures: The objective of this unit is to develop your skills and knowledge about the Blockchain technology and its usage. This includes the definition of Blockchain technology, its business aspect, encountered issues, objectives, and challenges. These also cover Blockchain horizontal and vertical scaling, together with key basics of cryptography which are required for understanding Blockchain technology concepts, cryptocurrencies, together with their respective networks, issues and challenges. 

Option units (choose one semester 2)

• Persuasive Technology & Behaviour Change: You will cover mainstream psychological theories of persuasion, influence, decision making and behaviour change besides their application on a wide range of domains including health, business and e-learning. We will also discuss the risks and ethical consideration of persuasion as well as essentials for informed decision making.

• Smart Systems: This unit introduces you to various facets of smart systems technology and how they could apply to different environments. A selected set of innovative applications will be investigated and discussed to provide you with practical insight on smart systems, their deployment and applications.

• Computer Vision: This unit focuses on a number of computer vision techniques, ranging from traditional approaches which have been established through research over many decades, to the most recent state-of-the-art development, using appropriate tools. The unit entails a strong empirical element where Computer Vision models are implemented, performance evaluated and validated.

Programme specifications provide definitive records of the University's taught degrees in line with Quality Assurance Agency requirements. Every taught course leading to a BU Award has a programme specification which describes its aims, structure, content and learning outcomes, plus the teaching, learning and assessment methods used.

Whilst every effort is made to ensure the accuracy of the programme specification, the information is liable to change to take advantage of exciting new approaches to teaching and learning as well as developments in industry. If you have been unable to locate the programme specification for the course you are interested in, it will be available as soon as the latest version is ready. Alternatively please contact us for assistance.

The normal requirements for embarking upon this course are:

• A Bachelors Honours degree with 2:2 in a required subject, or equivalent
• Required subjects: Computing, Technology, Mathematics, Physics, Engineering, Data Sciences, Data Analytics

If you are in doubt if you lack the formal academic qualifications needed to enter a postgraduate or post-experience degree, please get in touch with the Future Students Enquiry team.

You can find details of the international qualifications we accept, and what level of study they apply to, on our entry requirements for non-UK students' page.

Please see below some examples of the qualifications for entry:

• India: Bachelor’s degree (4 years) from a recognised HE institution with a minimum overall result of 55% 
• China:  学士学位 (Bachelor degree) with a minimum of 65% overall
• Nigeria:  Bachelor's degree from a recognised institution in Nigeria with a minimum classification of 2:2
• Thailand:  Thai Bachelor's (Honours) degree from a recognised higher education institution.
• Vietnam:  Bachelor's degree/Bang tot nghiep dai hoc with an average score of at least 7.0, or a Master’s degree/Thac si.
• Turkey: Bachelor’s Degree (Lisans Diplomasi -four years) to be considered for a postgraduate course at BU.

All applications will be subject to a minimum grade and your degree may need to be in a relevant subject area.

English language requirements

If English is not your first language, you will need to provide evidence that you understand English to a satisfactory level. English language requirements for this course are normally:

IELTS (Academic) 6.0 with minimum 5.5 in each component, or equivalent.

View further information about our English language requirements.

Bournemouth University International College offers a number of pre-sessional English and preparatory programmes to prepare international students for postgraduate study at BU. Admission to the degree is guaranteed on successful completion of your course to the required level. 

This course selects candidates by looking at their applications. There are no interviews or additional selection activities and therefore we suggest that you make your application stand out from the crowd. For more information take a look at our how to apply pages.

Please see our website for the application deadlines. You should apply as early as possible to be considered for your course of choice. If you require a student visa, apply for the visa as soon as you have an unconditional offer and receive your CAS. There may be delays in visa processing in your country and you need to be in Bournemouth ready to study for the start of term.

December and January is one of our busiest application periods and therefore it may take us a little longer to process incoming applications. For courses with a January start date, we recommend submitting your application as soon as possible to avoid disappointment.

Click the green ‘Apply now’ button to submit your application free of charge online through myHub, our application portal. You will create your own myHub account so that you can track the progress of your application. Don’t forget to save your application as you go; you can return to it at as many times as you want before you submit it. For more information visit our How to apply section.

As a graduate, you will be prepared to undertake roles such as:

• Artificial Intelligence Scientist
• Artificial Intelligence Product Director
• Clinical AI Fellow

If you want to continue your studies after achieving your Master’s, you can look into our range of doctoral programmes.

What’s included in your tuition fee?

Your tuition fee covers expenses associated with your course including tuition materials, access to facilities, mandatory field trips and the following:

• Materials for laboratory and mandatory field-based teaching activity.
• Support for finding placements (UK or abroad) and fieldwork, and non-financial support whilst on placement if this is part of your course of study.
• A range of student services – advisors, help desks, counsellors, placement support and careers service.
• The Library – access to a wide range of electronic resources (databases, e-journals and e-books), print and multimedia collections, subject librarians and study spaces.
• Access to Brightspace, our virtual learning environment, which offers a responsive and personalised learning experience with powerful learning analytics capabilities, integrated social media and advanced video features.
• IT labs (some open 24/7), wireless network, AV equipment to borrow.
• Disability and additional learning support, according to individual circumstances.
• The BU Language Centre to help you develop/improve foreign or English language skills.
• 24 hours a day, 365 days a year security team.

Additional costs

We are committed to offering you value for money and ensuring there are no hidden costs while you are studying with us, therefore we have listed below any additional costs you may incur that are not covered by your tuition fee:

• Laptops, tablets and mobile devices and any software used on personal devices. Access to a personal computer is strongly recommended for your study. If you are experiencing financial difficulty, visit our website for information regarding hardship funds.
• ​Textbooks, general stationery and other supplies. Our award-winning library is stocked with a large range of textbooks and online resources, free of charge. The Students’ Union shops stock a wide range of stationery supplies on both campuses.
• Accommodation and living costs. Please visit our website for more information.
• ​Travel costs for optional field trips, outdoor wear and footwear for mandatory and optional field trips (if applicable).
• Travel costs to and from the University campus. An annual bus pass can be purchased alongside your rent if you are living in halls of residence/Unilet accommodation or may be purchased separately.
• ​Travel costs to and from your placement (both in the UK and overseas) if this is part of your course of study. Placement year funding information can be found on our website.
• Clothing or equipment costs required for your placement if this is part of your course of study. 
• SportBU membership.

While all aspects of the programme, including required field trips, are included in the fee, additional, optional or extra curricula activities may be available for which a student contribution is required.

If you need to repeat one or more units during the course of your studies (with or without attendance) the pricing will be pro-rata of the full time fee

We offer a range of scholarships to students who are beginning their studies at BU. Our fees and funding pages also provide details on living costs, budgeting and paying your tuition fees.

International (not Rep. of Ireland) students need to pay a non-refundable deposit to secure their place on a postgraduate course. For September 2024 and January 2025 entry, a £5,000 deposit is required. You will need to pay your deposit by the date stated in your offer letter. The remainder of your fee will be payable on registration/enrolment. There are two exceptions to the non-refundable rule on the deposit:

• You fail to meet the academic or English requirements of your offer

• You are refused a visa to enter the UK, provided the reason for the refusal is not a fraudulent application.

Zoheir Sabeur is Associate Professor of Data Science at Bournemouth University. His main research expertise is on AI, knowledge extraction, human behaviour and natural processes machine detection and understanding. This was applied to COPD health patients exacerbation events forecast, impact of climate change on species behaviour, surveillance, human physical security and industrial operations. He has published over 120 papers in scientific journals, conference proceedings and books.

Dr Dogan's research focuses on Human Factors, Assistive Technologies and Systems Engineering. He is the Co-Chair of the Human Computer Interaction (HCI) research group. 

Dr Dogan received his Engineering Doctorate (EngD) in Systems Engineering from Loughborough University, MSc in Human Computer Interaction with Ergonomics from University College London, and BSc in Computer Science from Queen Mary University of London.

He was the General Co-Chair for the 30th International British Computer Society Human Computer Interaction Conference (BCS HCI 2016). He has over 100 publications which include journal papers, conference papers, and technical reports. His research on Assistive Technologies (with Dr Paul Whittington) featured on the BBC South, BBC Radio Solent, The Ergonomist, Auto Express, Bournemouth Echo and The Sunday Times magazine.

Dr Balaguer-Ballester is a physicist with expertise in Computational Neuroscience (neuronal coding and dynamics, ensemble models, auditory modelling); with a focus on machine learning approaches specifically designed for analysing neuronal responses and realistic models.

Melanie is a Principal Academic and the Deputy Head of the Computing and Informatics Department. She joined Bournemouth University in June 1997 from the University of East London, where she was a lecturer in the Innovation Studies Department.

Deniz Cetinkaya is a Lecturer (Academic) in Computing in the Department of Computing & Informatics at BU. She is the Programme Leader for BIT (Business Information Technology) and ITM (Information Technology Management) courses. 

She has a BSc degree in Computer Science and Engineering and MSc degree in Computer Engineering. She received her PhD degree in Systems Engineering from Delft University of Technology (Technische Universiteit Delft) in the Netherlands.