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

72 points required

Work out your points with our UCAS points calculator

Clearing 2019

Places on this course are available through Clearing.

  • UCAS Code: I10F
  • Level: Foundation
  • Starting: September 2019
  • Course cost: From £9,250 per year
  • Location: City Centre

Two ways to apply now:

Call 0121 331 6777 Apply online  

Call 0121 331 6777

Our hotline opens at 6am on Thursday 15 August.

Call the hotline

Apply online

Complete our online form to apply for a place on this course.

Apply Now

Do you want to develop the skills needed to be a leading IT professional? Our BSc Computer and Data Science course will develop your skills in producing computer systems solutions. You will gain a sound mathematical and scientific understanding alongside developing the professional attitude needed in 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.

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.

You will study the fundamental concepts of computer science in your first year, including computer programming, user interface design, information systems, computer networks and computer architecture.

In your second year, you will consolidate your learning by studying advanced subjects that emphasise software engineering skills. You will also be introduced to topics such as systems fundamentals, data structures and algorithms, discrete mathematics, and web application development.  

In your final year, you will broaden your understanding of computer science by studying specialised subjects like artificial intelligence, cyber security and wearable computing. In addition, you will complete an individual project in order to demonstrate your  technical skills and general employability in preparation for career progression. The individual project simulates typical graduate workplace tasks that require in-depth knowledge and skills in a specific area of computer 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 sandwich 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.

Throughout your studies, you’ll be supported by our expert teaching staff, all of whom have a wide range of research and industrial experience in areas such as computer security and software engineering, which they use to enhance the curriculum.

What's covered in the course?

We will help you to develop a good balance between in-depth academic knowledge and technical and practical expertise, equipping you with a range of transferable skills, such as complex problem-solving, the ability to analyse in a careful and considered manner, and working as a team member.

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.

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 will explore areas including data acquisition, integration, storage, analysis and visualisation of data.

You'll be based at our flagship City Centre Campus, where you'll use dedicated, industry-standard facilities to research and work on enterprise software and virtual environments to develop business solutions and systems. You'll have access to virtual learning environments, as well as networking, electronic, enterprise systems and business intelligence laboratories.

We are preparing you for the workplace. Your knowledge of the application of computing to provide IT solutions will evolve on a daily basis, and we will ensure you are able to innovate in order to deliver business value and sustainable solutions.

Throughout your course you'll be supported by expert teaching staff, many of whom have worked in the field, are active in research and are continually innovating with industry.

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.
    • In 2017, we spent £6.5 million on improvements to our Millennium Point facilities so you’ll have even more access to dedicated, industry-standard equipment.
    This course is not open to International students
    School of Computing and Digital Technology

    Discover the School of Computing and Digital Technology

    Visit our School site for more student work and extra information.

    Visit the School website

    We are members of:

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

    Subject to approval

    This course is in the final stages of approval to ensure it meets the very highest standards of quality, creativity and applied learning.

    Entry Requirements

    72 POINTS

    (or equivalent) is the minimum you will need to be considered for this course in Clearing. Use the UCAS Tariff Calculator to work out your points.

    Got your results?

    If you've already received your results and have enough points for this course you can apply online now.

    Apply now

    Waiting for results?

    Get advice from our course experts or download our guide to Clearing to prepare ahead of results day.

    Get advice

    ‘Please note: the entry requirements listed below are relevant for main cycle applications and may not be applicable during Clearing’


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

    UK students
    Essential

    At the point of application, you must have GCSE at Grade 4 (C) or above in English Language and Mathematics. Equivalent qualifications can be considered in lieu of GCSE subjects as long as the required subjects are covered.

    BB or 80 UCAS tariff points from A/AS Level with a minimum of 2 A Levels

    Typical Offers
    UK Qualification Requirements 2019/20
    GCE A Level/ AS Level BB or 80 UCAS tariff points from A/AS Level with a minimum of 2 A Levels
    Access to Higher Education Diploma 60 credits overall. Minimum of 45 credits at level 3. Including 12 technical credits at Merit or Distinction. Must already hold GCSE Mathematics and English Language Grade C or higher or the equivalent at application point.
    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 80 UCAS points 
    BTEC Extended Diploma (18-units not including early years)/ Pearson BTEC Level 3 National Extended Diploma MMP - 80 UCAS points
    BTEC Subsidiary Diploma/ Pearson BTEC Level 3 National Extended Certificate Combined with other level 3 qualifications to achieve a minimum total of 80 UCAS points 
    BTEC Diploma in Foundation Studies in Art and Design Distinction
    International Baccalaureate Diploma

    Obtain a minimum of 24 points overall. Students who do not complete the IB Diploma and who achieve the minimum of 11 points from two High Level subjects, will be considered on the basis of their IB Certificates.

    For students who do not already hold a GCSE in Mathematics at Grade C/4 or above grade 5 in Maths (Standard Level) from the IB Diploma will be accepted. 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.

    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 80 tariff points, achieved in four Higher level subjects. This must include Maths and English Language taken at either Ordinary level (minimum grade O1-O4 (or A-C/A1-C3)) or Higher level (minimum H3/D1 taken from three subjects).

    Must be from Technology, Science, or Computing related subjects. Higher levels to include Mathematics at Higher levels.

    Scottish Higher/ Advanced Higher

    Achieve a minimum of 80 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 CDD.

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

    Must be from Technology, Science, or Computing related subjects

    Welsh Baccalaureate (core plus options) Combined with other level 3 qualifications to achieve a minimum total of 80 UCAS points 
    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.
    EU/International students
    Essential
    EU/Non-EU (International) Qualifications Requirements 2019/20
    IELTS 6.0 overall with 5.5 minimum in all bands
    International Baccalaureate Diploma (or equivalent, including internationally accredited Foundation courses).

    Obtain a minimum of 24 points overall. Students who do not complete the IB Diploma and who achieve the minimum of 11 points from two High Level subjects, will be considered on the basis of their IB Certificates.

    For students who do not already hold a GCSE in Mathematics at Grade C/4 or above grade 5 in Maths (Standard Level) from the IB Diploma will be accepted. 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.

    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).

    UK or EU students

    Award Start Mode Duration Fees
    BSc (Hons) Sep 2019 FT 3 year £9,250 per year Apply via Clearing

    International Students

    Sorry, this course is not available to international students.

    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.

    Places available to start in September 2019

    If you'd like to start this course full-time this September, you can apply through Clearing.


    Got your results?

    If you've already received your results and have enough points for this course you can apply online now.

    Apply now

    Waiting for results?

    Get advice from our course experts or download our guide to Clearing to prepare ahead of results day.

    Get advice

    International and part-time students can apply online as normal using the links above.

    Want to start in September 2020?

    You can apply via UCAS from September 2019.

    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 year

    Computer Technology Context
    Fundamental Maths
    Academic & Professional Development 1
    Academic & Professional Development 2
    Computing Skills in Practice

    Year one

    Computer Programming
    20 credits
    Computer Systems
    20 credits
    Website Design and Development
    20 credits
    Data Structures and Algorithms
    20 credits
    Network Fundamentals
    20 credits
    Innovation Project
    20 credits

    Year two

    Object Oriented Programming
    20 credits
    Introduction to Data Science
    20 credits
    Database and Web Application Development
    20 credits
    Discrete Mathematics and Declarative Programming
    20 credits
    Data Visualisation
    20 credits
    Software Engineering Methodology and Project
    20 credits

    Year three

    Modern Data Stores
    20 credits
    Data Mining
    20 credits
    Data Warehousing
    20 credits
    Artificial Intelligence and Machine Learning
    20 credits
    Individual Project
    40 credits
    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 12 hours of contact time over three or four days, plus self-study time.

    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.

    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

    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 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.

    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.

    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.