
Computer and Data Science - BSc (Hons)
Currently viewing course to start in 2022/23 Entry.
Do you want to develop the skills needed to be a leading computing professional for the 21st century? Data Science is an exciting new discipline that integrates computer science and statistics, which helps enable you to gain valuable insights that are needed in modern organisations....
- Level Undergraduate
- Study mode Full Time
- Location City Centre
- Award BSc (Hons)
- Start date September 2022
- Fees View course fees
- School School of Computing and Digital Technology
- Faculty Faculty of Computing, Engineering and The Built Environment
Overview
Do you want to develop the skills needed to be a leading computing professional for the 21st century? Data Science is an exciting new discipline that integrates computer science and statistics, which helps enable you to gain valuable insights that are needed in modern organisations. The Computer and Data Science degree course is designed to equip you with the cutting-edge skills required to satisfy the global demand for Data Scientist, Machine Learning and Artificial Intelligence roles and thus build a rewarding career.
This course shares a common first year with the Computer Science programme, covering fundamental concepts, such as algorithms and data structures, as well as nurturing your creativity. In the second and third year the course continues to teach vital topics from Computer Science such as software engineering, cyber security and databases.
The Data Science element of the course focuses on the technical aspects of data science as well as developing a wider appreciation of how these principles can be applied elsewhere. You’ll coverall aspects of data science, ranging from data acquisition, integration, storage, analysis and visualization of data. You’ll also learn about data mining, statistical analysis, and machine learning by working collaboratively with academics and businesses, applying practice-based skills to real-life case studies and projects. You’ll gain a well-rounded education in Computer and Data Science, whilst developing your teamwork and software development skills.
When you graduate you’ll be able to design software by applying mathematical and scientific principles, enabling you to thrive in the IT industry. While studying your Computer and Data Science degree with us, you’ll also have access to dedicated industry-standard facilities in a fully equipped lab running the latest software. Plus, we’re home to a Cisco Systems and a Microsoft Academy Centre, so you can rest assured knowing our university course will prepare you for a successful career in the industry.
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.
Professional Placement Year
This course offers a professional placement year. This allows you to spend a whole year with an employer, between the second and third years of your degree, and is a great way to find out more about your chosen career. Some students even return to the same employers after completing their studies.
The University 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. If you do not find a suitable placement, you will be automatically transferred back to the standard, non-placement version of the course.
Please note that fees are payable during your placement year – please see fees and how to apply for more information.
What's covered in this course?
In your first year you will share a common first year with the BSc Computer Science course. The first year covers fundamental concepts, such as computer programming, algorithms and data structures, computer systems, website development, and network fundamentals while also nurturing your creativity with an innovation project. In your second year, you will consolidate your learning by studying four Computer Science modules and two Data Science specific modules. The Computer Science modules include advanced topics, that is, cyber security and software design, as well as critical topics, that is, object oriented programming and database & web application development.
The Data Science modules are Introduction to Data Science and Data Visualisation that introduce the lifecycle and visualisation of a data oriented project/product. In the final year you will broaden your understanding of data science by studying specialised subjects like artificial intelligence and machine learning, modern data stores, deep neural networks and, data management and machine learning operations. In addition, you will complete an individual project in order to demonstrate your technical skills and general employability in preparation for your career.
The individual project simulates typical graduate workplace tasks that require in-depth knowledge and skills in a specific area of computer and data science. This will include consideration of wider issues and the ability to manage activities and resources, and to generate, implement and report on solutions to meet task objectives. During your course, you’ll have the opportunity to take a professional placement year between your second and third year. This is something we recommend highly, as it will give you an invaluable opportunity to hone your expertise, try out a potential career path and get relevant workplace experience that is valued by many employers. It will also boost your CV.
With emphasis on computer lab-based practical work and project delivery, this course will provide you with ample opportunity to acquire both the technical and transferable skills desired by industry. Extra support sessions in mathematics will be offered to students which will be led by a specialist mathematics tutor. Underpinned by an extensive range of staff knowledge and skills, the course seeks to develop you into a confident independent and team problem solver who is willing to take on new challenges and experiences.
You will be able to build an online portfolio for personal and professional development using software such as Mahara or GitHub. We focus on employability so our course encourages and enables collaborative activity, engagement with work placements, projects and international exchanges. Various activities have been built into the course to promote employability such as innovation fest, mid-semester employability week and the mini project during level 4 induction week. You will have the opportunity to take a sandwich placement year between your second and third year. This is something that is highly recommended, as it will give you an invaluable opportunity to put your skills into practice, try out a potential career path and get relevant workplace experience that is valued by so many employers. The course is also part of the Erasmus scheme, which allows you to study abroad within the EU for a semester, normally during the second year of the course.
Accredited By
This course is accredited by:
The course covers a breadth of topics and the newest developments using a very hands on approach.
Julian
Why Choose Us?
- Brand new facilities at STEAMhouse - This state-of-the-art building will become the new home for its School of Computing and Digital Technology from the start of the 2022 academic year. Based at our expanding City Centre Campus, this unique centre will give you access to outstanding facilities and teaching spaces, as well as opportunities to collaborate with people and businesses across multiple sectors and work on real industry-based projects
- Learn from industry experts - Our staff have a wide range of research and industrial experience. They are also actively involved in a range of professional associations such as the British Computer Society and the Higher Education Academy
- Top 15 for student satisfaction in Computer Science - Complete University Guide 2022
- Strong industry links - With companies such as Oracle, Linux Professional Institute, Microsoft and Apple. This allows us to ensure that the course is up to date, relevant and respected by employers
- Become a specialist - You will learn about the international standards and regulatory frameworks to allow you to work in an ever-changing computing industry, both at a local level and a global stage
- Accredited by BCS, The Chartered Institute for IT – The course meets standards set by the profession
- Optional professional placement year - You will have the opportunity to undertake professional placement in between your second and final year of study
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.
Entry Requirements
We accept a range of qualifications, the most popular of which are detailed below.
Essential Requirements
112 UCAS tariff points from A/AS Level |
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LEVEL 2 QUALIFICATIONS | ||
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GCSE |
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Irish Leaving Certificate (Ordinary Level) |
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Scottish Intermediate 2 |
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Scottish Credit Standard Grade |
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Scottish National 5 |
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Plus one of the following Level 3 (and above) Qualifications | ||
A level and Advanced VCE |
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Access to HE Diploma |
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Advanced Welsh Baccalaureate - Skills Challenge Certificate (first teaching September 2015) |
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Welsh Baccalaureate Advanced Diploma – Core (awarded until 2016) ESW/KS Combined component |
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T- Levels |
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International Baccalaureate Diploma |
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Other qualifications | ||
If you have a qualification that is not listed in the table please refer to our full entry requirements on UCAS. Further guidance on tariff points can be found on the UCAS website. |
Additional information for EU/International students
Essential | ||
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Please see your country page for further details on the equivalent qualifications we accept. In additional to the academic entry requirements listed above, international and EU students will also require the qualifications detailed in this table. |
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EU/Non-EU (International) Qualifications | ||
IELTS |
6.0 overall with 5.5 minimum in all bands If you do not meet the required IELTS score, you may be eligible for one of our pre-sessional English courses. Please note that you must have a Secure English Language Test (SELT) to study on the pre-sessional English course. More information. |
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International Baccalaureate Diploma (or equivalent, including internationally accredited Foundation courses). |
1. For students who complete the full IB Diploma: a total of 14 points or above from three Higher Level Subjects. 2. Students who do not complete the IB Diploma will be considered on the basis of their IB Certificates. Students must have grade 5 in Maths (Standard Level) |
International students who cannot meet the direct entry requirements can begin their degree studies at Birmingham City University International College (BCUIC).
Additional Requirements
As part of the application process you will be invited to attend an applicant visit day where you will undertake a short one-to-one interview with an academic member of staff. This is your chance to show us how passionate you are about the subject and it will help us make a decision on your application.
This will provide you with more information about the School and your course. In addition, it will give you a chance to meet and our staff and students to gain a better understanding of what it is like to be a student here.
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: BSc (Hons)
Starting: Sep 2022
- Mode
- Duration
- Fees
- Full Time
- 3 years
- £9,250 in 2022/23
- Apply via UCAS
- Full Time
- 4 years with Professional Placement
- Show fees
- Apply via UCAS
- Study Year (2022/23) £9,250
- Placement Year £1,650
Professional Placement Fees
Full-Time courses with a Professional Placement incur a fee during the placement year. The costs for those years when you attend the university for study, and the cost for the placement year are shown here.
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: BSc (Hons)
Starting: Sep 2022
- Mode
- Duration
- Fees
- Full Time
- 3 years
- £13,500 in 2022/23
- Full Time
- 4 years with Professional Placement
- Show fees
- Study Year (2022/23) £13,500
Professional Placement Fees
The tuition fee for your first year of study at the university is shown here. Full-time courses with a Professional Placement also incur a fee during the placement year. The fee for your placement year will be chargeable at the applicable rate in your third year of study.
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.
Guidance for UK students
UK students applying for most undergraduate degree courses in the UK will need to apply through UCAS.
The Universities and Colleges Admissions Service (UCAS) is a UK organisation responsible for managing applications to university and college.
Applying through UCAS
- Register with UCAS
- Login to UCAS and complete your details
- Select your course and write a personal statement
- Get a reference
- Pay your application fee and submit your application
Guidance for International students
There are three ways to apply:
1) Direct to the University
You will need to complete our International Application Form and Equal Opportunities Form, and submit them together with scan copies of your original academic transcripts and certificates.
2) Through a country representative
Our in-country representatives can help you make your application and apply for a visa. They can also offer advice on travel, living in the UK and studying abroad.
3) Through UCAS
If you are applying for an undergraduate degree or a Higher National Diploma (HND), you can apply through the UK’s Universities and Colleges Admissions Service (UCAS).
You can request a printed form from your school or nearest British Council office. You will be charged for applying through UCAS. Birmingham City University’s UCAS code is B25 BCITY.
Personal statement
UK / EU students are required to submit a personal statement as part of their application for this course.*
The personal statement gives you a crucial opportunity to say why you’re applying and why the institution should accept you.
Here are the key areas you’ll need to address:
- Course choice - Why does this course appeal? What areas are of particular interest?
- Career plans - If you have a specific career in mind, say how your chosen course will help you pursue this goal.
- Work experience - Mention any work that is relevant to your subject, highlighting the skills and experience gained.
- School or college experience - Highlight skills gained at school/college, eg summer schools or mentoring activities.
- Non-accredited skills or achievement - eg Duke of Edinburgh Award, Young Enterprise scheme.
You should also mention your future plans – if you’re planning to take a year out, don't forget to give your reasons. Talk about any subjects you’re studying that don’t have a formal assessment and any sponsorships or placements you’ve applied for. And don't be scared to add in details about your social, sports or leisure interests.
Worried about Personal Statements?
If you've got no idea where to start or just want to check you're on the right track, we’ve got expert advice and real examples from our students to help you nail your personal statement. You can even download our ultimate personal statement guide for free.
*Non-EU students are not required to submit a personal statement when applying for this course.
Course in Depth
Year one
In order to complete this course, you must successfully complete all the following CORE modules (totalling 120 credits).
20 credits
This introductory computer programming module provides the underpinning knowledge and practice for computing students to design, build and test software components. The module will make use of practical sessions primarily to allow you to apply programming principles and constructs in order to creatively solve problems by means of developing small programs. Module content and assessment enables learners to acquire programming skills in a modern imperative language.
20 credits
Within the Computer Systems Module, you will gain knowledge and experience of computers and computer hardware.
This module presents a holistic view of how computer systems work and it also provides the underpinning knowledge required:
- for the design of computer architecture
- to show how software interacts with hardware
- to apply electronics principles
- to use number systems for computer technology
20 credits
This module provides the underpinning skills necessary to develop an effective web based information system based around a clear understanding of the visual requirements of an interface, a structured design approach and the technical skills necessary to implement a solution.
20 credits
Data structures and algorithms are essential in computer science, software engineering, and computer games and graphics programming. Data structures are structured representations of data; the design of a data structure determines how operations (such as reading to, writing from, modifying, or computing with the data) can be achieved. An algorithm is a set of instructions which can be followed in order to solve a computational problem.
20 credits
The module provides the opportunity to learn and critically reflect the skills required in building and designing basic networks and their requirements within a network infrastructure. This module builds on the underpinning knowledge and theory of networking systems.
The module consists of:
- Subject specific lectures/laboratory sessions to introduce knowledge and skills relevant to network and information systems, along with communication architecture
- Lectures/laboratory sessions to introduce principles and techniques for information communication within a network and ensuring effective communication
- Global view on information system communication.
20 credits
This first-year project allows you to develop and cultivate a creative mind-set through collaborative innovative practice, allowing you to bring together knowledge and imagination to construct a viable product. It is an opportunity to express your ideas, skills and talent to the wider community of innovative practice.
The project provides you with an opportunity to be part of a thriving community of innovators that practices connected learning. This is facilitated by putting you into inter-disciplinary project teams supported by innovation mentors, advisors and academics; culminating in you exhibiting your work to an international panel of experts.
Year two
In order to complete this course, you must successfully complete all the following CORE modules (totalling 120 credits).
20 credits
Programming is an engineering tool that plays a vital role to drive most of the modern technologies surrounding us, including the technological devices for communication, transportation and entertainment. In other words it can be said that our modern lifestyles are heavily dependent on programming.
Moreover, businesses increasingly rely on computers and the software run on them. Programming skills and a broader and deeper understanding of programming are therefore becoming increasingly important to the jobs market.
20 credits
Data applicable to organisational bodies for decisions making process are increasing rapidly. Automation of tracking, the increase of new data types (e.g., social media, audio, and video), improved storage of electronic records, re-use of administrative records, and the outburst of modelling data have all amplified the availability of data. However, making full use of these data requires not only right storage and but also advanced analytical capabilities.
Data Science is a multidisciplinary field that deals with technologies, processes, and systems to extract knowledge and insight from data and supports reasoning and decision making under various sources of uncertainty. The goal of Introduction to Data Science is to teach students how to answer questions with data.
The module will enable students to conduct computational investigations needed for vital decisions and prediction of new trends and at the same time enhance students’ employability skills.
20 credits
The vast majority of web applications are connected to databases for the purpose of storing and retrieving information. On this module you will be introduced to relevant concepts and technologies, applying them to the development of such applications. You will gain knowledge and skills concerning data modelling (entity-relationship models) and relational database implementation and administration (using SQL).
You will also acquire new programming skills (e.g., writing server-side scripts in PHP) in order to produce applications that provide useful functionality. You will also gain practical experience in the use of web frameworks to develop web applications to enhance your employability skills.
20 credits
Computer Scientists need to address the realities of the application of their field within an environment where cyber security threats present unique challenges to application and system developers, in relation to the requirement for secure design and operation. This module provides a foundation for security consideration as required in the design of software expected to perform within a networked and data sharing environment. This module has been designed to provide the necessary theoretical framework, foundations and practical support for effectively pursuing security solutions with reference to the requirement for secure application development.
20 credits
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 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/or complex data sets. Finally, upon completing the module, you should be able to decide on the best visualisation for the data and research question at hand, and then implement in the best way possible.
20 credits
This module is about software engineering with a focus on software design. It covers three stages of the software engineering life-cycle, requirements, design and implementation, but with a focal point on design and an emphasis on the design theme.
The module provides the necessary skills to:
- construct models of requirements and designs,
- synthesise implementations from design models,
- apply software design patterns.
The standard UML is used as the modelling language, the vehicle through which important design concepts are explored to convey a software engineering ethos based on getting it right by adequately studying the problem and mindfully constructing designs of software solutions.
Year three
In order to complete this course, you must successfully complete all the following CORE modules (totalling 120 credits).
20 credits
This module will introduce NoSQL databases and distributed data storage frameworks through practice based activities. Through guided hands-on tutorials, you will become familiar with techniques using non-structured and semi-structured data examples. Also, you will gain knowledge on managing and processing data in a distributed infrastructure. This course will improve your development skills and provide experience with many different data systems.
20 credits
Deep learning (also called deep neural network) is a sub-field of Artificial Intelligence(AI), aiming at extracting knowledge automatically from large data sets in a hierarchical way.
Deep learning, which is considered as the state-of-the-art in data science and AI, is inspired by the structure of human brain. Now well established and accepted in industry, deep learning provides both predictive and descriptive analytics solutions that can be applied to a wide range of applications from business to scientific and governmental applications.
Data Management and Machine Learning Operations 20 credits
20 credits
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 create software that adapts and learns (from examples), rather than being explicitly programmed for a particular outcome. Both AI and ML rely on managing, processing and analysis of large datasets, something that Data Science (DS) is concerned with. Many services provided by technology giants such as Google, Microsoft, IBM, Facebook, Amazon, etc. are powered by DS, ML and AI. The recent advances in these subjects have already led to significant industrial applications such as self-driving cars and Industry 4.0.
40 credits
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. The main consideration when choosing your topic is that it must be aligned to the programme you are studying, and you should consider the relevance of this topic to your future academic or professional development.
At this level, you will be expected to work independently but you will receive additional one-to-one support from your supervisor, who will be familiar with your chosen topic area. As you progress on the module, extra support will be available and this may take the form of group seminars, workshops and online materials that will help to develop your project.
Download course specification
Download nowKnowledge and understanding are acquired though a mixture of formal lectures, tutor-led seminars and practical activities, with other independent learning activities at all stages.
Emphasis is placed on guided, self-directed and student-centred learning, aimed at giving you increasing independence of approach, thought and process.
The course provides access to effective commercial development environments and ensures you have practical awareness of computer systems requirements. You are required to meet strict deadlines, and to manage and plan your overall workload.
Knowledge is assessed by a number of methods, including seminars, coursework, viva, presentation, interactive automated assessment, formal examination and project work.
Assessment criteria are published both at a generic course level and to provide guidance for individual items of assessment. Anonymous marking systems are in place for all formal examinations.
You will undertake a major project involving research and application of that research in the solution of systems-related problems.
Attendance requirements
For more information on attendance requirements, course contact time and suggested self-study hours, download the course specification.
This course is accredited by the following organisations:
Our accreditations from these bodies show employers that you have the level of knowledge and skills they need when you graduate.

BCS, The Chartered Institute for IT
This degree has been accredited by BCS, The Chartered Institute for IT. Accreditation is a mark of assurance that the degree meets the standards set by BCS. An accredited degree entitles you to professional membership of BCS, which is an important part of the criteria for achieving Chartered IT Professional (CITP) status through the Institute. Some employers recruit preferentially from accredited degrees, and an accredited degree is likely to be recognised by other countries that are signatories to international accords.

Engineering Council Accredited Degree
This degree has been accredited by BCS, The Chartered Institute for IT on behalf of the Engineering Council. Accreditation is a mark of assurance that the degree meets the standards set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC). An accredited degree will provide you with some or all of the underpinning knowledge, understanding and skills for eventual registration as an Incorporated (IEng) or Chartered Engineer (CEng). Some employers recruit preferentially from accredited degrees, and an accredited degree is likely to be recognised by other countries that are signatories to international accords.
Employability
Enhancing your employability skills
Our graduates typically design and implement software across such rewarding areas as web development, interface design, security issues and mobile computing.
We know that employers are looking for graduates who offer 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 and because you’ll know how to use sophisticated, industry-standard equipment and software, you will be able to demonstrate that you can put into practice your deep theoretical knowledge.
You will be taught about the roles and responsibilities of a professional working within the computing and data science professions, and gain an appreciation of the social, environmental, ethical, economic and commercial considerations that impact on computer and data science solutions.
We will also prepare you for a career by equipping you with myriad transferable skills, such as complex problem-solving expertise, the ability to analyse in a careful and considered manner, and working as a team member.
In addition, our specialist industry links with the Linux Professional Institute, the Oracle Academy, Cisco, and Microsoft, Apple, and Oracle, plus our world-class facilities, will mark you out as a highly employable graduate.
It’s 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.
The ‘Learning Outcomes’ for this course didn’t really mention employability so this is largely based on the Computer Science web page
Further Study
Successful completion of the course can open up opportunities for employment in IT industry, but you may think to continue your studies at postgraduate level, studying a computer science subject in greater detail by means of MSc or PhD. The most common Masters to proceed onto would be MSc Business Intelligence or MSc Big Data Analytics.
Although postgraduate study may appear essential for a career in academia, recent statistical evidence shows that it can also be useful for a range of other careers. For example, in 2014 the Department of Business, Innovation and Skills noted that someone with a Master’s degree earns on average £9,000 more per year than someone with a degree qualification.
According to the UK Commission for Employment and Skills (2014) observation, one in seven jobs will require a postgraduate qualification by 2022. All these facts indicate the contribution of postgraduate study to employability is increasingly significant.
Placements
We aim to have you employer-ready by the time you graduate and, as part of your Computer and Data Science course, you have the option of undertaking an industrial placement after the second year of study.
If you decide to do this, it will extend the duration of your course to four years.
Thanks to our excellent partnerships and working relationships with some of the UK’s leading companies, you have the chance of undertaking a high-quality industrial placement with leading organisations such as IBM, Dignity Plc, Mortgage Brain, and Griffiths-Waite.
Learn more about some of the prestigious organisations that our students are placed with:
Full details can be found on the School placements page.
OpportUNIty

OpportUNIty: Student Jobs on Campus ensures that our students are given a first opportunity to fill many part-time temporary positions within the University. This allows you to work while you study with us, fitting the job around your course commitments. By taking part in the scheme, you will gain valuable experiences and employability skills, enhancing your prospects in the job market.
It will also allow you to become more involved in University life by delivering, leading and supporting many aspects of the learning experience, from administration to research and mentoring roles.
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 Mohammed Abdelsamea
Senior Lecturer in Information and Data Science
Mohammed is a Senior Lecturer in Data and Information Science at the School of Computing and Digital Technology, Birmingham City University. He has been working on developing artificial intelligence tools for healthcare and life science applications since 2005. Mohammed has been working within several groups of biologists, pathologists, and...
More about MohammedDr Atif Azad
Reader in Evolutionary Computing and Machine Learning
Dr Azad is a Senior Fellow of Higher Education Academy. He specialises in the subject matter of Computer Science, Machine Learning, Evolutionary Computing (Genetic Programming, Genetic Algorithms, and Grammatical Evolution), Data Analytics, and Statistics. He has extensively worked on theory and applications of Machine Learning, particularly Nature...
More about AtifProfessor Mohamed Gaber
Professor in Data Analytics
Mohamed Gaber is a Professor in Data Analytics at our School of Computing and Digital Technology. He has published over 150 papers, co-authored two monograph-style books, and edited/co-edited six books on data mining and knowledge discovery. Mohamed has served in the programme committees of several major conferences related to data mining,...
More about MohamedDr Mariam Adedoyin-Olowe
Lecturer
Mariam is the Module Lead for a number of MSc and BSc courses including:MSc Individual Master’s Project; MSc Research Methods & Project Management; BSc Data Intelligence and BSc Introduction to Data Science. The two MSc modules introduce students to general methods and techniques relevant to the master’s dissertation project, which they may...
More about MariamDr Abdel Rahman H. Tawil
Associate Professor in Software Engineering
Abdel-Rahman H. Tawil is currently an Associate Professor at the School of Computing and Digital Technology. He received his BSc in Computer Science from the University of Jordan in Amman and his PhD is in the area of Semantic Interoperability in Heterogeneous and Distributed Multiple-Information Servers Environment from Cardiff University, Cardiff...
More about Abdel RahmanDr. Shadi Basurra
Senior Lecturer
Dr. Shadi Basurra graduated from the Computer Science Department at the University of Exeter, UK in 2007. He obtained his Msc in Computer Networking from the University of Kent - Canterbury, UK in 2008. He received a Ph.D. scholarship from the Japanese Toshiba Corporation, Great Western Research and Yemen government, which he completed successfully...
More about Shadi