MSc Human Centred Artificial Intelligence

Data Storytelling: Build fundamental skills in visualising data, and utilising them in effective narratives to inform areas such as business decision making or communicating research findings. 

Applied Programming for Data Science: Develop fundamental programming skills to effectively use state-of-the-art tools and technologies for Data Science, and introduce application of basic AI models.

Human Computer Interaction: Develop the design and methodological skills required to develop AI solutions that interact with human end-users effectively and safely.

Data Processing and Analytics: Develop technical skills with databases (relational, graph and NoSQL) and core analytics of data, including the use of machine learning.

Explainable and Ethical AI: Start to build a strong foundation and understanding of the range of AI approaches and techniques, focusing on real-world challenges of ethical application of AI / ethical use of data. 

Industrial Skills and Professional Issues: You'll have the opportunity to develop transferrable professional skills in preparing you for both your independent project and future career.
 

• Bachelors Honours degree with 2:2 or equivalent is required in any subject.

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%
• Nigeria:  Bachelor's degree from a recognised institution with a minimum classification of 2:2
• Thailand:  Thai Bachelor's (Honours) degree from a recognised higher education institution with a minimum GPA of 2.5/4.0
• Turkey: Bachelor’s degree (Lisans Diplomasi - four years) with a minimum overall GPA of 2.3/4.0
• Vietnam:  Bachelor's degree/Bang tot nghiep dai hoc with an average score of 6.5/10, or a Master’s degree/Thac si.

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

Applicants may be invited to interview if they do not have a Psychology degree accredited by the British Psychological Society (BPS). 

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 6.0 with a minimum of 5.5 in writing, speaking, listening and reading, 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. 

For MSc Human Centred Artificial Intelligence, we're looking for applicants who:

• Have an interest in applied computing, working with data and technologies to develop hands-on experience
• Bring a sense of curiosity, creativity, drive and enthusiasm to the learning environment
• Being a responsible and autonomous learner, capable of working independently and reflecting critically upon your learning
• Prepare for, attend, and actively engage in the range of learning opportunities provided
 

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.

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.

Possible careers include:

• Data scientist
• Data analyst
• Machine learning and AI consultant

If you want to continue your studies after achieving your MSc, 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.
• 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.
• Loan of lab coats and safety glasses.

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 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.
• Expenses relating to placement or research projects e.g. travel etc. up to a maximum of £200 per student.
• 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.

Financial help available from BU

We offer a range of scholarships and bursaries to eligible students who are beginning their studies at BU. Please visit www.bournemouth.ac.uk/funding for details on living costs, budgeting and paying your tuition fees.

International (not Rep. of Ireland) students need to pay a non-refundable £3,000 deposit to secure their place on a postgraduate course. 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.

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

Dr Vegard Engen is Deputy Head of Department in Computing & Informatics at Bournemouth University, where he focuses on external engagement / professional practice and student engagement in addition to general management, teaching and research responsibilities.

His technical expertise includes several flavours of artificial intelligence, software engineering and modelling, as well as project management and business development. He is also ITIL and PRINCE2 certified.

After completing a PhD in Artificial Intelligence (AI) and network-based intrusion detection at Bournemouth University in 2010, Vegard joined a start-up in London, working with the UK Government on population-based simulation modelling. He then joined the IT Innovation Centre at the University of Southampton as a Research Engineer, doing applied research in both national and European research and innovation projects. Vegard moved on to a senior position at IT Innovation with technical, management, business development and marketing responsibilities, before returning to Bournemouth University in 2018.

His research is driven by real-world applications, having worked with hundreds of organisations in cross-disciplinary projects over the years. Vegard has a keen interest in applying novel technologies to generate value to people and the environment; particularly health and well-being.

Prof Nan Jiang is Deputy Head of Computing and Informatics and Professor in Human Computer Interaction. He joined BU in 2010. Prior to this, Nan was an Open Distance Learning (ODL) tutor at Queen Mary, University of London, where he also received his PhD in Web Usability and MSc in Advanced Methods.

Nan has 10+years of full stack web development experience as a freelance technical consultant and technical writer. He is specialised in web/mobile app architectural and interface design but he also provides technical support on backend development.

Marcin's research interests lie in a broadly understood area of machine learning and data science, with a particular focus on practical applications.

"Innovation is what makes our world a better place. I believe that deep down each of us is an innovator. The committed and inspiring team at BU will help you unlock this hidden potential".

Some of Marcin’s recent research projects include data analytics and predictive modelling for public transport, computer vision techniques for retail (self-checkout) and forensic applications (shoeprint and gait analysis) or link prediction in complex network systems (like social networks). Many of these projects involve students at various levels.

Dr Huseyin Dogan joined Bournemouth University (BU) in 2012. He is an Associate Professor and the Director of the Computing and Informatics Research Centre. Dr Dogan is also the Co-founder and Co-chair of the Human Computer Interaction (HCI) research group. His research focuses on Human Factors, Assistive Technology, Digital Health and Systems Engineering.

Prior to this, Dr Dogan led the postgraduate courses (2012-2015) and then the undergraduate courses (2015-2017) in Computing at BU, managing over 900 students. He is also the Co-Founder of four MSc programmes: (1) MSc Digital Health; (2) MSc Digital Health & Artificial Intelligence; (3) MSc Cyber Security & Human Factors; (4) MSc Marketing & User Experience.

Dr Avleen Malhi received her PhD in autonomous vehicles (2016), ME in Computer Science (2012) from Thapar Univesity India and BE in Computer Science Engineering (2010). As part of her PhD research (2012-2016), she was working on an industrial project by Tata Consultancy Services. Between 2016-2018, she was working as an Assistant professor in computer science at Thapar University and from 2019-2020, she was working as postdoctoral researcher at Aalto University, Finland. During her postdoctorate, she has worked on different EU H2020 Projects and received significant funding for various projects. She has a leading role in Business Finland project, eparkly (real time smart parking managemnet system) which is 0.9M€ project.

Dr Mohammad Naiseh's research is in advanced Explainable AI and Human-Computer Interaction. He has a keen interest in studying user trust, which he defines as a crucial requirement of deploying AI-based solutions in real-world problems. He focuses on the principles, methods and tools needed to engineer trust-aware technology to calibrate trust in such technologies.