Computer and Data Science with a Foundation - BSc (Hons)

  • UCAS Code: I10C
  • Level: Foundation
  • Starting: September 2020
  • Study mode: Full Time (4 years)
  • Location: City Centre

Data Science is an exciting new discipline that integrates computer science and statistics, which helps enable us 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 roles and thus build a rewarding career.

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.

You’ll cover all 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.

What's covered in the course?

BSc Computer and Data Science shares a common first year with the BSc Computer Science course. The first year covers fundamental concepts, such as algorithms and data structures, while also nurturing your creativity.

In your second year, you will study four Computer Science modules and two Data Science specific modules, namely Introduction to Data Science and Data Visualisation. In the third year, with the exception of one Computer Science module, the remaining modules are Data Science specific.

You will broaden your understanding of data science by studying specialised subjects like artificial intelligence and machine learning, modern data stores, data mining and data warehousing. 

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 workplace tasks that require knowledge in a specific area of data science. 

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.

About the Foundation Year

The Foundation Year course option enables you to study for our BSc (Hons) degree over an extended full-time duration of four years by including a Foundation Certificate (year one of four). The Foundation Certificate provides a broad study programme that underpins the follow-on degree. In order to progress to the next year of your degree, it is necessary to achieve a pass in all of the modules of the Foundation Certificate.

The course will help you to understand the concept of database design and querying. In addition, modules such as applied statistics and data mining module will help you to have acceptable skill in 'R' programming which is vital for data analysts. Mohamed

The course covers a breadth of topics and the newest developments using a very hands on approach. Julian

Why Choose Us?

    • You’ll be taught by staff with a wide range of research and industrial experience, who are actively involved in different professional associations such as the British Computer Society and the Higher Education Academy (HEA).
    • Our strong links with companies such as Oracle, Linux Professional Institute, Microsoft, Amazon Web Services and Apple ensure that the course is up to date, relevant and respected by employers.
    • You will learn about international standards and regulatory frameworks to allow you to work in an ever-changing computing industry, both at a local level and on a global stage.
    • The course offers you the option of undertaking an industrial placement year after your second year of study.

    Students outside Millennium Point

    Open Days

    Our next Open Day for this course will take place on Sunday 24 November 2019. Book your place to see our facilities and speak to our staff and students.

    Book your place

    This course is open to International students

    We are members of:

    WISE member logo2 WISE members inspire girls to choose maths, physics and computing.

    Entry Requirements

    We accept a range of qualifications, the most popular of which are detailed below.

    Essential Requirements

    BB at A Level or 80 UCAS tariff points from A/AS Level with a minimum of 2 A Levels, at least one from a Science, Technology, Mathematics or Computing subject or equivalent.  

    Typical Offers (UK students)

    At the point of application, you must have GCSE at Grade 4 (C) or above in English Language and Mathematics. Equivalent qualifications will be considered. Plus, you must have achieved or be completing one of the following:

    UK Qualification Requirements
    GCE A Level/ AS Level BB at A Level or 80 UCAS tariff points from A/AS Level with a minimum of 2 A Levels, at least one from a Science, Technology, Mathematics or Computing subject.
    Access to Higher Education Diploma

    Pass with 60 credits, 45 of which should be at Level 3. including 12 Technical credits merit or distinction.

    Must be from Technology, Science, Mathematics or Computing related subjects.

    BTEC National Diploma (12-units not including early years)/ Pearson BTEC Level 3 National Diploma D*D* or combined with other level 3 qualifications to achieve a minimum total of 112 UCAS points
    BTEC Extended Diploma (18-units not including early years)/ Pearson BTEC Level 3 National Extended Diploma DMM - 112 UCAS points
    BTEC Subsidiary Diploma/ Pearson BTEC Level 3 National Extended Certificate Combined with other level 3 qualifications to achieve a minimum total of 112 UCAS points
    BTEC Diploma in Foundation Studies in Art and Design Distinction
    International Baccalaureate Diploma

    Obtain a minimum of 28 points overall with a minimum of Grade 5 in Mathematics (Higher Level) and pass one of the following subjects from Group 4 at Higher Level (Computer Science, Chemistry, Design Technology, Physics). Students who do not complete the IB Diploma will be considered on the basis of their IB Certificates and alongside other acceptable level 3 qualifications to meet 112 UCAS Tariff Points. Obtain a total of 14 points or above from three Higher Level Subjects.

    For students who do not already hold a GCSE in Mathematics at Grade C/4 or above Grade 5 or above in Mathematics at Standard Level will be accepted in lieu of this from the IB Diploma. For students who do not already hold a GCSE in English Language at Grade C/4 or above Standard Level English Language (not literature) Group A English Group A - Grade 4 or above, OR English Group B Grade 5 from the IB will be accepted.

    Students who do not complete the IB Diploma will be considered on the basis of their IB Certificates. A combination of GCSEs, A-levels and IB certificates will be considered on a case by case basis.

    Irish Leaving Certificate

    Pass the Irish Leaving Certificate with a minimum of 112 tariff points, achieved in four Higher level subjects. Maths must be at Higher Level. Must include English Language taken at either Ordinary level (minimum grade O1-O4 (or A-C/A1-C3)) or Higher level (minimum grade H5/D1).

    Must include one from Technology, Science, Mathematics or Computing.

    Scottish Higher/ Advanced Higher

    Achieve a minimum of 112 tariff points achieved in either three Advanced Highers or from a combination of two Advanced Highers plus two Highers.Where three Advanced Highers have been taken achieve a minimum of grades CCD.

    Where a combination of Highers and Advanced Highers have been taken you must achieve (grades of CD in two Advanced Highers plus grades of CC in two Highers).

    Must include one from Technology, Science, Mathematics or Computing.

    Welsh Baccalaureate (core plus options)

    Must be offered along with either A-levels, BTEC Subsidiary Diplomas/ OCR Cambridge Technical Introductory Diplomas or a BTEC 12-unit National Diploma/ OCR Cambridge Technical Diploma combination with a total of 112 UCAS tariff points.

    Must be offered in conjunction with the A level in either Technology, Science, Mathematics or Computing or equivalent.

    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

    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.

    EU/Non-EU (International) Qualifications Requirements
    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.

    International Baccalaureate Diploma (or equivalent, including internationally accredited Foundation courses).

    Obtain a minimum of 28 points overall with a minimum of Grade 5 in Mathematics (Higher Level) and pass one of the following subjects from Group 4 at Higher Level (Computer Science, Chemistry, Design Technology, Physics). Students who do not complete the IB Diploma will be considered on the basis of their IB Certificates and alongside other acceptable level 3 qualifications to meet 112 UCAS Tariff Points. Obtain a total of 14 points or above from three Higher Level Subjects.

    For students who do not already hold a GCSE in Mathematics at Grade C/4 or above Grade 5 or above in Mathematics at Standard Level will be accepted in lieu of this from the IB Diploma. For students who do not already hold a GCSE in English Language at Grade C/4 or above Standard Level English Language (not literature) Group A English Group A - Grade 4 or above, OR English Group B Grade 5 from the IB will be accepted.

    Students who do not complete the IB Diploma will be considered on the basis of their IB Certificates. A combination of GCSEs, A-levels and IB certificates will be considered on a case by case basis.

    Country-specific entry requirements and qualifications.

     

    International students who cannot meet the direct entry requirements can begin their degree studies at Birmingham City University International College (BCUIC).

    International Students

    Entry requirements here

    • UK/EU students
    • International students

    Award: BSc (Hons)

    Starting: Sep 2020

    • Mode
    • Duration
    • Fees

    Award: BSc (Hons)

    Starting: Sep 2020

    • Mode
    • Duration
    • Fees
    • Full Time
    • 4 years
    • £12,800 per year

    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. The University reserves the right to increase fees in line with inflation based on the Retail Prices Index or to reflect changes in Government funding policies or changes agreed by Parliament up to a maximum of five per cent.

    Guidance for UK/EU students

    UCAS

    UK and EU 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
     Complete your details
     Select your course
     Write a personal statement
     Get a reference
     Pay your application fee
     Send UCAS your application

    Additional costs

    There are no compulsory additional costs or charges associated with studying on this course. While you may choose to purchase personal copies of text books, all our key text books are available from our library or online (subject to normal library loan and online access arrangements). If your course includes a residential study session, the accommodation costs for this are already included in your course fee.

    Based on the past experience of our students, you might find it helpful to set aside about £50 for each year of your studies for stationery and study materials. All our students are provided with 100 free pages of printing each year to a maximum total value of £15.

    Accommodation and living costs

    The cost of accommodation and other living costs are not included within your course fees. More information on the cost of accommodation can be found in our accommodation pages.

    Foundation

    Fundamental Mathematics
    20 credits

    The Foundation Mathematics module provides the basic knowledge and mathematical skills which will equip the students to continue their studies to an undergraduate programme. The module will be focused on mathematics related to the field of computing. The interactive taught sessions will use fundamental mathematical in discussions to broaden understanding of the theory and practice introduced in the module. Additional support materials will be made available on the module Moodle website.

    Academic and Personal Study Skills
    20 credits

    Academic and personal study skills are essential elements which should be applied in order to be successful in Higher Education. This module aims to help you in developing basic research skills, academic writing and reflection skills. These skills are inevitably important and will support your transition to the higher education levels of study associated with your chosen degree programme.

    Within the module, you will learn various academic skills that should facilitate both academic knowledge and enhance your learning development.

    This module will be supported with 2hrs of extra module support session.

    Web Application Design
    20 credits

    This module provides the skills necessary to design a web based application around a clear understanding of the business information requirements, a structured design of an interface and the development skills necessary to implement a solution.

    This module focuses on varied technologies relating to the design and development of application to meet the information needs of a business. The module will analyse and design an application that meets current web standards.

    Technology in Context
    20 credits

    This module will provide you with an introduction to the computing environment, different computing disciplines, and how they relate to each other. The module will consider how technology operates within their context, which will allow you to develop a broad approach to understanding how technology works and inform your future degree and career choice.

    It will draw the attention towards the fundamental concepts surrounding technology, stem from the fact that technology has become one of the central determinants of economic success and the way we live and work. This module will use case studies to introduce and explore different issues and the assessment will require you to relate the topics covered to a real-world scenario.

    Independent Practice
    20 credits

    During the journey within higher education, developing your independent study is an essential skill to support shaping the knowledge to become more useful and applied within practice. This module aims to provide you with necessary skills and tips that should support you to work independently within your discipline and to successfully apply project management tools and techniques to a mini project related to your subject discipline.

    Foundations of Programming
    20 credits

    Foundations of programming aims to provide you with the fundamental principles and practice-based activities needed to begin developing software programs. The module details the anatomy of a structured software program that includes the creation of a program algorithm, a logical, simple and organised program flow and the generation of pseudo and programming code.

    The module uses a combination of theory and practice-based sessions designed to engage students in group and individual activities to identify the components of a software program and to apply their knowledge into hands-on software programming activities. During the module sessions you will acquire the basic skills to design and create software programs.

    This module will be supported with 2hrs of extra module support session.

    Year One

    In order to complete this course, you must successfully complete all the following CORE modules (totalling 120 credits).

    Computer Programming
    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.

    Computer Systems
    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
    Website Design and Development
    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.

    Data Structures and Algorithms
    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.

    Network Fundamentals
    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.
    Innovation Project
    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).

    Object Oriented Programming
    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.

    Introduction to Data Science
    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.

    Database and Web Application Development
    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.

    Discrete Mathematics and Declarative Programming
    20 credits

    This module embeds core discrete mathematics concepts relevant to programmers, within the context of programming. We will use sound abstract reasoning techniques to design and produce computer programs within the declarative paradigm. Finally, these solutions will be tested and evaluated against their functional requirements using a number of testing and verification techniques.

    Data Visualisation
    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.

    Software Design
    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:

    1. construct models of requirements and designs,
    2. synthesise implementations from design models,
    3. 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).

    Modern Data Stores
    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.

    Data Mining
    20 credits

    In this module, you will be taught the internal mechanisms of developing descriptive and predictive data mining methods. Also you will be taught how to use modern data mining tools to build and numerically validate models and patterns extracted from data. You also will be able to analyse a problem domain and apply suitable data mining techniques.

    Data Warehousing
    20 credits

    This module covers the acquisition, organization, storage and processing of large volumes of data including relevant security and legislative issues. Since data is a vital part of business intelligence, this module provides input to the other modules on the programme and builds directly upon the level 5 database module. The module also explores techniques for querying the data warehouse. Learning and Teaching.

    Artificial Intelligence and Machine Learning
    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.

    Individual Honours Project
    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. 

    BSc Computer Science image 2 619x232

    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.

    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

    There are 30 attendance weeks in each academic year.

    A typical week on this course will include 20 hours of contact time over three or four days, plus self-study time.

    BSc Computer Science image619x232

    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

    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 Ambassador

    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.

    Graduate jobs

    Because our course is uniquely designed to meet employers’ needs, you’ll be highly sought-after when you come to graduate. It is why many of our graduates have gone on to work for top companies including IBM, Griffiths Waite, Capgemini and Birmingham City University.

    Our course covers cutting-edge topics in computer and data science that will leave you well-prepared to take on any of a diverse set of roles, including Data Scientist, Data Analyst, Business Intelligence Analyst, Data warehousing specialist, Consultant Solutions Architect, Database Administrator, Project Manager.

    Student stories Tammy Yeshua

    12 Months at IBM

    Tammy Yeshua described undertaking a year-long placement as part of her BSc (Hons) Computer Science degree as the "best decision she has ever made". Her work for technology giant IBM led to her securing a place on a two-year graduate programme with the same firm as a Technical Consultant after she graduates. In her role as a Maximo Support Dispatcher, she got to interact with big-name clients around the world, including Cisco, BP and Heathrow Express, building up her confidence and communication skills.

    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:

    Birmingham City University International College (BCUIC)

    International students who have a serious interest in studying with us but who perhaps cannot meet the direct entry requirements, academic or English, or who have been out of education for some time, can enter Birmingham City University International College (BCUIC) and begin their degree studies.

    BCUIC

    BCUIC is part of the global Navitas Group, an internationally recognised education provider, and the partnership allows students to access the University’s facilities and services and move seamlessly through to achieving a Bachelor’s degree from Birmingham City University.

    Learn more about BCUIC

    Popular home countries

    Our students come from around the world but our computer science course is most popular with international students from:

    Our Facilities

    We are constantly investing in our estate and are currently in the process of spending £340 million on new learning facilities. This course will be taught at Millennium Point at the City Centre Campus.

    As a student at the School of Computing and Digital Technology, you have access to networked laboratories equipped to industry standards and running the latest software, giving you the best possible introduction to the technologies you will encounter in the world of work.

    Dedicated facilities are provided for systems analysis, computer networks, programming in a wide range of languages, artificial intelligence, modelling and visual programming, e-commerce and .net environments, and business intelligence, as well as supporting the application areas of mechatronics, games technology, electronics and computer forensics.

    Computer networking

    The laboratories are well-equipped for all our computer networking courses, as well as specialist areas for practical work such as voice-over internet protocol (VoIP), forensic and ethical hacking technologies, wireless and mobile technologies and radio frequency identification technologies to name but a few.

    Software development and computer programming

    There are a number of open access, software development and computer programming
    laboratories that can be used to develop systems and programmes, including database management systems such as MySQL, to name but a few.

    Systems laboratories

    Our embedded systems laboratories are used to develop real-time systems, such as specialist hardware training and development resources, and industrial-standard software development and simulation tools. These include microcontroller software and robotics design and development, to name but a few.

    Electronic Systems

    Electronic systems

    To underpin the basic principles of electronic systems, we have a well-equipped laboratory of general and specialist test and measurement kits, including powered prototyping development boards, dual power supplies, frequency generators and counters and digital multi-meters to name but a few.

    Forensic computing

    Our successful development of forensic computing has led to a specialist forensics laboratory that is fully equipped with essential hardware and software for this sensitive area of study. The laboratory includes high-spec PC’s with built-in multi interface Tableau write blockers, EnCase and FTK computer forensic software and steganography detection and analysis software, to name but a few.

    More on our facilities
    Jagdev Bhogal

    Dr Jagdev Bhogal

    Senior Lecturer, Academic Lead Birmingham City University Oracle Academy

    Jagdev is an experienced lecturer whose main teaching area is Database Systems. She is the Course Leader for MSc Business Intelligence and the MSc Big Data Analytics courses. Jagdev has published conference and journal papers on relational/object/nosql database systems,  ontologies, text mining and cloud computing. 

    Professor 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, including the International Conference on Data Mining, the Pacific-Asia Conference on Knowledge Discovery and Data Mining, and the International Conference on Machine Learning. In 2007, he was awarded the CSIRO Teamwork award.

    Dr Mariam Adedoyin-Olowe

    Assistant Lecturer

    Dr Mariam Adedoyin-Olowe is an Assistant Lecturer and Researcher in Big Data Analytics in the School of Computing and Digital Technology. She currently teaches Data Mining and Web Social Media Analytics and Visualisation at Postgraduate level. She also teaches/supervises Undergraduate Innovation Projects. Her research focuses on data mining, Big Data analytics, social media analytics, artificial Intelligence, machine Learning, sentiment analysis and opinion mining, data visualisation, association rule mining, and data science

    Dr Atif Azad

    Senior Lecturer

    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 Inspired Machine Learning (Evolutionary Computing), and has conducted internationally acclaimed work winning awards and honours from recognized international scientific fora.