
Artificial Intelligence - MSc
Currently viewing course to start in 2023/24 Entry.
This course will create graduates with a sound understanding of the theory and practice of AI in industry. As a conversion course we will assume all students are starting fresh with no experience of computer programming and little experience of using mathematics or statistics in their undergraduate programmes or in work....
- Level Postgraduate Taught
- Study mode Full Time
- Location City Centre
- Award MSc
- Start date September 2023
- Fees View course fees
- School School of Computing and Digital Technology
- Faculty Faculty of Computing, Engineering and The Built Environment
Overview
This course will create graduates with a sound understanding of the theory and practice of AI in industry. As a conversion course we will assume all students are starting fresh with no experience of computer programming and little experience of using mathematics or statistics in their undergraduate programmes or in work.
What's covered in the course?
We will begin by creating a foundation in programming and mathematics upon which we will build the expertise in several key areas of artificial intelligence, going from your first Python code and basic algebra right through to Deep Learning. The core applied areas of data science that will be taught will include:
- Data Visualisation and Interpretation - Analysis that can’t be properly interpreted, explained and understood is a waste of time from a commercial point-of-view. We will teach you how to generate attractive and interpretable visualisations and tell the story of whatever data you’re working with to a range of audiences.
- Image Analysis - Machine learning has shown incredible results recently in understanding the themes of images and video which are being applied in a range of commercial settings; from security and driverless cars, to online clothes shopping.
- Natural Language Processing - Being able to understand speech and text is one of the cornerstones of artificial intelligence systems. Chatbots built on AI are appearing all over the internet, but more than this technology giants are searching for ways that machines can have detailed conversations with one-another and to be able to read and understand text documents.
- Time Series - Dealing with dynamic data is vital to AI systems in finance, AI and defence; whether predicting the future of stock prices to predicting patient outcomes in ICU and how a virus outbreak will permeate through a population.
A strong focus on technology monitoring and ethics will be taught in a way to suit learners from all backgrounds. The masters’ project will have an industrial route for learners who want to work on an applied project with a corporate partner and there will be a route for graduates to undertake a professional placement or to go on to a doctoral research programme. If you have any further questions please get in touch with the course leader, Iain Rice, at msc-ai@bcu.ac.uk.
MSc AI course leader, Iain Rice, shares why it is an exciting time to become an AI specialist and what’s covered in the course. Watch the video and find out how you can convert into an AI specialist.
Introducing STEAMhouse
STEAMhouse is a centre for technology, innovation, creative thinking
Our brand new £70 million pound building, STEAMhouse, will become the new home for the School of Computing and Digital Technology from the start of the 2022 academic year.
As the world is moving towards digitalisation, and there are more and more problems which have arisen especially after the Covid-19 pandemic, and hence there is a need to create better solutions for the real-world problems that people face. Artificial Intelligence has that potential to recognise problems and thus can develop solutions using existing data. Recognising this need, I chose this course to help try solve the real-world problems. After becoming a mother, I realised that in order to keep up with the fast-paced world, and especially during the pandemic I realised that I need to do a conversion course, which will enable me to have a fantastic career ahead.
Akanksha Vyas
Why Choose Us?
- Become an AI specialist - No matter your background, this course will prepare you to work in any area of data science competently with AI, you head and shoulders above everyone else in the graduate AI job market.
- Learn how to evaluate machine learning systems - Our course teaches you how to account for both the limitations and ethical issues that they create.
- Links with industry - Our delivery partners, such as Amazon, Huawei, Cisco, IBM and Microsoft will provide training for industry-standard systems making you able to solve problems important to your future employers, straight away.
- Flexible learning - You will be taught through a mix of face-to-face and remote learning to fit around other commitments.
On graduation there are three main routes open to you:
- A job in industry as a data scientist; solving tomorrow’s problems using the intelligent techniques that we will provide you with
- A PhD; pushing the forefront of AI by developing new types of intelligent systems to solve the most challenging data-driven problems
- Where you started; AI is being applied everywhere so going back to your own industry on graduation isn’t taking a step back – you’ll be returning with a broad set of skills and a problem-solving outlook that will benefit any organisation
Studying with us during the Covid-19 pandemic
The University has put in place measures in response to Covid-19 to allow us to safely deliver our courses. Should the impact of the pandemic continue in future years, any additional or alternative arrangements put in place by the University will be in accordance with the latest government public health advice, health and safety legislation, and the terms and conditions of the student contract.
OPEN EVENING
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Next Event: Wednesday 26 April
Entry Requirements
Essential Requirements
2:2 honours degree or higher in any discipline. IELTS (standard level) if degree was not delivered in English. |
OR
3+ years professional work experience(standard definition any role which has required you to work & interact with a range of people requiring a regular element of problem-solving) |
Application Details
On application please also provide a 250-word maximum personal statement detailing why you are ready for this course and how you want to use what you learn in your future career or in later life. |
Fees & How to Apply
UK students
Annual and modular tuition fees shown are applicable to the first year of study. The University reserves the right to increase fees for subsequent years of study in line with increases in inflation (capped at 5%) or to reflect changes in Government funding policies or changes agreed by Parliament. View fees for continuing students.
Award: MSc
Starting: Sep 2023
- Mode
- Duration
- Fees
- Full Time
- 12 months
- £10,000 in 2023/24
- Full Time
- 18 months with Professional Placement (see below*)
- £11,000 in 2023/24
International students
Annual and modular tuition fees shown are applicable to the first year of study. The University reserves the right to increase fees for subsequent years of study in line with increases in inflation (capped at 5%) or to reflect changes in Government funding policies or changes agreed by Parliament. View fees for continuing students.
Award: MSc
Starting: Sep 2023
- Mode
- Duration
- Fees
- Full Time
- 12 months
- £16,870 in 2023/24
- Full Time
- 18 months with Professional Placement (see below*)
- £18,557 in 2023/24
If you're unable to use the online form for any reason, you can complete our PDF application form and equal opportunities PDF form instead.
Professional Placement option*
The Professional Placement option will allow you to complete a credit bearing, 20 week Professional Placement as an integral part of your Master’s Degree. The purpose of the Professional Placement is to improve your employability skills which will, through the placement experience, allow you to evidence your professional skills, attitudes and behaviours at the point of entry to the postgraduate job market. Furthermore, by completing the Professional Placement, you will be able to develop and enhance your understanding of the professional work environment, relevant to your chosen field of study, and reflect critically on your own professional skills development within the workplace.
You will be responsible for finding and securing your own placement. The University, however, will draw on its extensive network of local, regional and national employers to support you in finding a suitable placement to complement your chosen area of study. You will also benefit from support sessions delivered by Careers+ as well as advice and guidance from your School.
Placements will only be confirmed following a competitive, employer-led selection process, therefore the University will not be able to guarantee placements for students who have registered for the ‘with Professional Placement’ course. All students who do not find a suitable placement or do not pass the competitive selection process will be automatically transferred back to the standard, non-placement version of the course.
Personal statement
Students are required to submit a personal statement as part of their application for this course.
Your postgraduate personal statement is going to shine a light on your personal experience, academic success, personal skills and any other factors that will support your application for further study.
Here are the key areas you’ll need to address:
Your passion and motivations
Studying a postgraduate course usually means you want to specialise in something. So what’s driving you?
Why this course?
Show that you’ve researched the course offering. What is it about this particular course that appeals to you? Is it the lecturers? The modules? Etc.
What makes you a good postgraduate candidate?
Tutors want to know that you can handle postgraduate study, so show them how your undergraduate experiences or work life has equipped you for a more advanced level of study. Key areas to address are research and group work but this can vary depending on your chosen course.
Relevant academic or work experience
Add anything relevant that relates back to your chosen course and shows how your skills will contribute towards your learning. What extra-curricular activities have you taken part in? What awards have you won? What employment or voluntary experience do you have that has helped you develop transferable skills? How do these specifically relate to the course you are applying for?
You should also mention your future plans and how a postgraduate qualification fits in. Try to look beyond your postgraduate study – do you plan to jump straight into a specific career or follow your studies with a research degree? Lastly, use plain, professional English and, where possible, utilise the language of your chosen industry.
Get more information on writing personal statements.
Course in Depth
Module
In order to complete this course a student must successfully complete all the following CORE modules (totalling 180 credits):
Computing proficiency is essential in modern data science and a firm grounding is required before the more technical themes of Artificial Intelligence (AI) can be studied. This is the introductory module for the programme where no prior computational foundations are assumed. A holistic view of computing will be provided covering the important themes of data management, programming and security considerations. The module will start from principles of data structures and algorithms, using Python for implementations, which will then be applied to database structures, both SQL and NoSQL, enabling learners to construct programs using standard industrial practices.
The aim of this module is to identify, apply and design data visualisations. The module provides you with the fundamental principles and practice-based activities needed to design data visualisations for both different contexts, and different types of data. More advanced visualisation concepts and tools for analysing multi-dimensional data and large data sets will also be examined and appraised. You will learn how to employ visualisation as a tool that can help users understand large and complex data sets, conveying the outputs to a diverse audience.
Artificial Intelligence (AI) is a core component of computer science, aiming at developing intelligent agents that mimic human’s cognitive capability in learning, reasoning, and problem-solving. As a branch of AI, machine learning (ML) allows to learn and adapt (from examples), rather than being explicitly programmed for a particular outcome. This module will offer you the statistical grounding required by data scientists to construct and evaluate the effectiveness of AI systems. Probability theory and statistical evaluation will lay the foundations to be used in a range of real-world scenarios. Standard machine learning techniques for regression, clustering and classification will be covered in this module. You will develop the practical skills needed for applied machine learning including the use of existing tools and techniques needed to solve industry-standard problems based on use cases extracted from real domains.
Modern artificial intelligence (AI) has become popular primarily because it can deal with data of various kinds. The ability to handle this data arises thanks either to the pre-processing that makes the data amenable for subsequent analysis/modelling, and/or to the nature of AI algorithm itself. Over the past half-century a range of different algorithms and approaches have been designed to handle structured data challenges in areas such as time series prediction, natural language modelling and image analysis. In this module you will be taught the targeted ways in which inferences can be made in these domains motivated with real-world projects. In addition to this you will be given a grounding in optimisation of parametric models and subsequent feature selection will be given to identify optimal tools for data analysis.
Following a series of breakthrough developments starting in 2006 the field of Deep Learning has attracted interest from a range of fields and is now receiving billions of pounds of investment across the world. Harnessing these techniques can leverage insight into problems not previously recognised. This module will contrast the application domain-specific methods from the Applied AI module with a set of generalised Deep Learning machines to show how they are applied to unstructured data. In particular, the module will teach you how to attack image analysis, natural language and reinforcement learning problems with these models whilst critically analysing the costs and benefits of implementation.
Artificial Intelligence (AI) is expected to transform the way we humans live and work helping us to solve complex problems and live more enriched lives. From healthcare to finance, AI now impacts nearly every industry through dramatically improving the efficiencies of workplaces and expanding the capabilities of the work humans can do. When AI takes over repetitive or dangerous tasks, minimises occurrences of ‘human error’ or support decision making, it frees up the human workforce to do work they are better equipped for; tasks that involve creativity and empathy among others. This module will discuss the impact of AI with focus on AI project life cycles, horizon scanning, AI ethics and AI applications.
The purpose of the module is to enable you to undertake a sustained, in-depth and research-informed project exploring an area that is of personal interest to you. In agreement with your supervisor, you will decide upon your topic which will take the form of a practical outcome (artefact) with accompanying contextual material. This can be oriented towards any area of AI and there is the opportunity for an industrial project run in co-operation with one of our partner organisations.
Download course specification
Download nowCourse breakdown
Knowledge and understanding are acquired though a mixture of formal lectures, tutor-led seminars and practical activities, with other independent learning activities at all stages. For more information about this course please get in touch with the course leader, Iain Rice, at msc-ai@bcu.ac.uk.
Employability
Enhancing your employability skills
We know that employers are looking for graduates who have a good balance between in-depth academic knowledge and technical and practical expertise, which is why our course is geared towards employability.
What you learn on our course will help you to stand out when you look for your first professional role. Because you will know how to use sophisticated, industry-standard software, you will be able to demonstrate that you can put into practice your deep theoretical knowledge.
We will also prepare you for a career by equipping you with a range of transferable skills, such as complex problem-solving expertise, the ability to analyse in a careful and considered manner, and working as a team member. We aim to have you employer-ready by the time you graduate and, as part of your Advanced Computer Science course, we will invite guest speakers to underpin the subjects taught.
Thanks to our excellent partnerships and working relationships with some of the UK’s leading companies, you have the chance to network with leading organisations such as IBM, Dignity plc, Mortgage Brain and Griffiths Waite. In addition, our specialist industry links with the Linux Professional Institute, the Oracle Academy, Cisco, and Microsoft, plus our world-class facilities, will mark you out as a highly employable graduate.
This is why our graduates have gone on to pursue computing and software development and designer careers in a wide range of industries, from SME software companies, to industry, government, banking and healthcare. Furthermore, many graduates continue their studies to Doctorate level.
International
Birmingham City University is a vibrant and multicultural university in the heart of a modern and diverse city. We welcome many international students every year – there are currently students from more than 80 countries among our student community.
The University is conveniently placed, with Birmingham International Airport nearby and first-rate transport connections to London and the rest of the UK.
Our international pages contain a wealth of information for international students who are considering applying to study here, including:
- Explore some of the good reasons why you should study here.
- Find out how to improve your language skills before starting your studies.
- Find all the information relevant to applicants from your country.
- Learn where to find financial support for your studies.
Facilities & Staff




Our Facilities
As a student in the School of Computing and Digital Technology, you will have access to our labs, software, professional sound studios, computer games labs and industry-standard facilities to develop your practical skills in audio, video and multimedia application development, content creation and more.
We are currently undertaking a £340 million investment programme in our facilities, including a major expansion of our City Centre Campus. This includes our brand new £70 million development, STEAMhouse, which will be the new home to Computing and Digital Technology students. This state-of-the-art centre will give you access to outstanding facilities and equipment, as well as opportunities to collaborate with businesses across multiple sectors and work on real industry-based projects.
Our facilities in Millennium Point have undergone a £6.5million investment with a new maker area, engineering labs/equipment and IT equipment.
Thanks to our partnerships with Cisco, Microsoft, Oracle, Juniper, SAS and LPI you will have access to the latest technology and facilities that reflect advanced professional practice. Our students also have access to software such as the Adobe Suite including Photoshop, InDesign and Illustrator.
Our staff
Dr Iain Rice
Senior Lecturer
Dr Rice is a specialist in Machine Learning and Signal Processing with several years of experience applying AI models to a wide range of real-world problems. As the head data scientist for The RAPID Project Iain created algorithms allowing for up to 12 hours advanced prediction of cardiac arrest in children. Iain has taught on several computational...
More about IainBesher Alhalabi
Doctoral researcher
Besher is an accomplished software engineer with over eight years of experience in data analysis and information management. He holds a BSc in Software Engineering and a Master's degree in Business Intelligence. Besher's career so far has seen him work for various international organisations and UN agencies, as well as developing many...
More about BesherHansi Hettiarachchi
Doctoral researcher
Hansi successfully completed her BSc (Hons) in Computer Science and Engineering at University of Moratuwa, Sri Lanka in 2016 with a first-class. After completing the bachelor's degree, she joined the Research and Development Division of CodeGen International (Pvt) Ltd., Sri Lanka as a Software Engineer. Hansi could obtain over three years of...
More about HansiLorraine Chambers
Doctoral Researcher
Lorraine is a skilled software engineer with fifteen years of experience designing and developing object-oriented software in the space industry. During this time, she gained an MSc in Software Engineering, for which she had a paper published on Sentiment Analysis.
More about Lorraine