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Data Science with Year of Professional Experience (BSc)

BSc|Undergraduate

Data Science with Year of Professional Experience

Entry year
Academic Year 2023/24
Entry requirements
AAB/A*BB
Duration
4 years (Full Time)
UCAS code
Placement Year
Yes
Applications for 2022 entry are still open for some programmes. View courses
  • Overview

    The aim of the programme is to offer a deep and up-to-date education in data science, machine learning and artificial intelligence that prepares graduates with key knowledge, skills and competencies necessary for employment in data engineering, data analysis, data architect (as well as managerial positions on those topics), or as preparation for further research and innovation careers.

    In particular the programme aims to provide students with:

    Comprehensive knowledge and understanding of the fundamental principles of artificial intelligence, data science and machine learning, which will remain applicable through changes in technology.

    Advanced knowledge and practical skills in the theory and practice of data analytics.

    The necessary skills, tools and techniques needed to embark on careers as data scientist, or professional developers skilled in data science.

    Skills in a range of practices, processes, tools and methods applicable to data science in commercial and research contexts.

    Timely exposure to, and practical experience in, a range of current technologies and emerging trends at the forefront of data science, such as Deep Learning, Natural Language Processing and Trustworthy AI.

    Opportunities for the development of practical skills in a commercial context.

    Data Science with Year of Professional Experience Degree highlights

    Industry Links

    • Our students are constantly given the opportunity to put theory into practice. We regularly consult a large number of employers including, for example, Civica and Sensata Technologies, who provide sponsorship for our students as well as Kainos and Liberty IT who are members of the employer liaison panel for the course.

      In addition, students will complete a year of professional experience on data analytics with one of our partners companies.

    World Class Facilities

    • A new Teaching Centre for Mathematics and Physics opened in September 2016. This provides a dedicated space for teaching within the School. Facilities for mathematics include new lecture and group-study rooms, a new student social area and state-of-the-art computer facilities. Computer Science teaching takes place in the Computer Science Building on the Malone Road, just a short walk from the Mathematics department. The building was recently refurbished at a cost of £14M, and is welcoming with a modern style and approach to students with spaces which include computer laboratories, lecture theatre and options of break-out areas.
  • Course content

    Course Structure

    IntroductionMathematics is the universal language of science while computer science is the study of the hardware and algorithms that are used in modern computer systems. Since many of the early pioneers of computer science, for instance Alan Turing, were mathematicians it is not surprising that these two subjects are closely related. This is a three-year joint degree programme between the School of Electrical and Electronic Engineering and Computer Science and the School of Maths and Physics, that combines the study of the two subjects so a holistic approach to Data Science and Machine Learning, from theory to practice, can be provided.
    Stage 1Themes may include:
    Object Oriented programming
    Databases
    Procedural Programming
    Computer Science Challenges
    Web Technologies
    Software Design Principles
    Introduction to Algebra and Analysis
    Introduction to Probability and Statistics
    Stage 2Themes may include:
    Professional Practice
    Transferable Skills for the IT Sector
    Introduction to Artificial Intelligence and Machine Learning
    Statistical Inference
    Linear Algebra
    Introduction to Enterprise Computing
    Data Structures, Algorithms and Programming Languages
    Stage 3Year of Professional Experience on Data Analysis
    Stage 4Themes may include:
    Deep learning
    Video Analytics and Machine Learning
    Concurrent Programming
    Cloud Computing
    Malware Analysis
    Fairness, Interpretability and privacy in machine learning
    Data Science Project
    Discrete Mathematics
    Stochastic Processes and Risk
    Bayesian Statistics
    Financial Mathematics
    Mathematical Methods of Quantum Information processing
    Linear models
    Information Theory

    In addition to some of the above modules, students are expected to complete:
    Final year project on data Analysis

    Learning and Teaching

    The School has a world class reputation for research and provides excellent facilities, including access to major new research centres in Secure Information Technologies, Electronics, Communications and Information Technology and Sonic Arts. A number of modules on the course are closely linked to the research expertise of these centres and evolve and change rapidly to reflect some of the current, emerging and exciting developments in the field.

    At Queen’s, we aim to deliver a high quality learning environment that embeds intellectual curiosity, innovation and best practice in learning, teaching and student support to enable student to achieve their full academic potential.

    • Interactive Lectures
      Technologies such as Turningpoint allow interactive and active lectures, where lecturers can pool students anonymously and in real time from the slides.
    • Online Material and Online Lectures
      Through the use of MS teams, MS Stream and Mediasite live lectures are recorded to be made available in real time or near real time. This video lectures are uploaded to Canvas learning environment, where all material, lecture content, assignment and online test are also available.

      This has proved fundamental to mitigate COVID and we expect to continue in normal circumstances to allow more effective online-enhanced learning.

    Assessment

    Details of assessments associated with this courses are outlined below:

    • The way in which you are assessed will vary according to the Learning objectives of each module.  Some modules are assessed solely through project work or written assignments.  Others are assessed through a combination of coursework and end of semester examinations.  Details of how each module is assessed are shown in the Student Handbook which is provided to all students during their first year induction.

    Feedback

    As students progress through their course at Queen’s they will receive general and specific feedback about their work from a variety of sources including lecturers, module co-ordinators, placement supervisors, personal tutors, advisers of study and peers.  University students are expected to engage with reflective practice and to use this approach to improve the quality of their work. Feedback may be provided in a variety of forms including:

    • Feedback provided via formal written comments and marks relating to work that you, as an individual or as part of a group, have submitted.

    Facilities

    Students have access to a wide range of computers in world class laboratories (equipped with several hundred PCs, including powerful Alienware computers) and specialised software packages.
    High performance computing facilities including a computing cluster with the following characteristics:
    • 60 x 128 core Dell PowerEdge R6525 compute nodes with AMD EPYC 7702 dual 64-Core Processors (786GB RAM).
    • 4 High memory nodes (2TB RAM).
    • 32 x NVIDIA Tesla v100 GPUs.
    • 2PB of lustre parallel file system for scratch storage.
    • All compute nodes and storage are connected by EDR Infiniband fabric.
    • Compute nodes run CENTOS7 operating system.

    High Speed Networks link the School and university computers to powerful machines in Great Britain.

    PREV
    Overview

  • Entry Requirements

    Entrance requirements

    A-level
    A-level: A (Mathematics) AB including at least one from Computing/Software Systems Development (not both), Physics, Biology, Chemistry, Technology and Design, Electronics, Further Mathematics or Double Award Life & Health Sciences
    or
    A-level: A* (Mathematics) BB including at least one from Computing/Software Systems Development (not both), Physics, Biology, Chemistry, Technology and Design, Electronics, Further Mathematics or Double Award Life & Health Sciences

    A maximum of one BTEC/OCR Single Award will be accepted as part of an applicant's portfolio of qualifications with a Distinction* being equated to a grade A at A-level and a Distinction being equated to a grade B at A-level.
    Irish Leaving Certificate
    H2H3H3H3H3H3 including Higher Level grade H2 in Mathematics and H3 in at least one from Computing, Physics, Biology or Chemistry
    International Baccalaureate Diploma
    34 points overall including 6 (Mathematics) 6,5 at Higher Level. If not offered at Higher Level/GCSE then Standard Level grade 4 in English would be accepted.

    Selection Criteria

    In addition, to the entrance requirements above, it is essential that you read our guidance below on 'How we choose our students' prior to submitting your UCAS application.

    Applications are dealt with centrally by the Admissions and Access Service rather than by the School of Electronics, Electrical Engineering and Computer Science. Once your application has been processed by UCAS and forwarded to Queen's, an acknowledgement is normally sent within two weeks of its receipt at the University.

    Selection is on the basis of the information provided on your UCAS form, which is considered by a member of administrative staff from the Admissions and Access Service and, if appropriate, the Selector from the School. Decisions are made on an ongoing basis and will be notified to you via UCAS. These decisions can only be made on the basis of the information given and applicants must show due care and diligence when completing their applications. In particular, full details must be included about qualifications completed or still to be completed.

    For entry last year, applicants must have had, or been able to achieve, a minimum of five GCSE passes at grade C/4 or better (to include English Language and Mathematics), though this profile may change from year to year depending on the demand for places. The Selector also checks that any specific entry requirements in terms of GCSE and/or A-level subjects can be fulfilled.

    Offers are normally made on the basis of three A-levels. Two subjects at A-level plus two at AS would also be considered.

    The offer for repeat candidates is normally the same as the offer for first time applicants. For repeat applicants acceptable grades may be held from the previous year.

    A-level General Studies and A-level Critical Thinking are not normally considered as part of a three A-level offer and, although they may be excluded where an applicant is taking 4 A-level subjects, the grade achieved could be taken into account if necessary in August/September.

    Applicants offering other qualifications, such as BTEC National and Higher National Certificates/Diplomas, the International Baccalaureate, Irish Leaving Certificate or an Access course, will also be considered. The same GCSE profile is usually expected of those candidates offering other qualifications.

    The information provided in the personal statement and the academic reference together with predicted grades are noted but these are not the final deciding factors in whether or not a conditional offer can be made. However, they may be reconsidered in a tie break situation in August.

    Applicants are not normally asked to attend for interview.

    If you are made an offer then you may be invited to an Open Day, which is usually held during the second semester. This will allow you the opportunity to visit the University and to find out more about the degree programme of your choice; the facilities on offer. It also gives you a flavour of the academic and social life at Queen's.

    If you cannot find the information you need here, please contact the University Admissions and Access Service (admissions@qub.ac.uk), giving full details of your qualifications and educational background.

    International Students

    Our country/region pages include information on entry requirements, tuition fees, scholarships, student profiles, upcoming events and contacts for your country/region. Use the dropdown list below for specific information for your country/region.

    English Language Requirements

    If you need to improve your English language skills before you enter this degree programme, INTO Queen's University Belfast offers a range of English language courses. These intensive and flexible courses are designed to improve your English ability for admission to this degree.

    • Academic English: an intensive English language and study skills course for successful university study at degree level
    • Pre-sessional English: a short intensive academic English course for students starting a degree programme at Queen's University Belfast and who need to improve their English.

    International Students - Foundation and International Year One Programmes

    INTO Queen's offers a range of academic and English language programmes to help prepare international students for undergraduate study at Queen's University. You will learn from experienced teachers in a dedicated international study centre on campus, and will have full access to the University's world-class facilities.

    These programmes are designed for international students who do not meet the required academic and English language requirements for direct entry.

    INTO - English Language Course(QSIS ELEMENT IS EMPTY)

    NEXT
    Careers

  • Careers

    Career Prospects

    Professional Opportunities
    Student completing this degree are expected to move to a professional or a research position in data analytics and machine learning, with application to different sectors: Fintech, Health and Biomedical, Security, Agriculture, etc.

    Additional Awards Gained(QSIS ELEMENT IS EMPTY)

    Prizes and Awards(QSIS ELEMENT IS EMPTY)

    Degree plus award for extra-curricular skills

    In addition to your degree programme, at Queen's you can have the opportunity to gain wider life, academic and employability skills. For example, placements, voluntary work, clubs, societies, sports and lots more. So not only do you graduate with a degree recognised from a world leading university, you'll have practical national and international experience plus a wider exposure to life overall. We call this Degree Plus. It's what makes studying at Queen's University Belfast special.

  • Fees and Funding

    Tuition Fees

    Northern Ireland (NI) 1 £4,630
    Republic of Ireland (ROI) 2 £4,630
    England, Scotland or Wales (GB) 1 £9,250
    EU Other 3 £22,000
    International £22,000

    1 EU citizens in the EU Settlement Scheme, with settled status, will be charged the NI or GB tuition fee based on where they are ordinarily resident. Students who are ROI nationals resident in GB will be charged the GB fee.

    2 EU students who are ROI nationals resident in ROI are eligible for NI tuition fees, in line with the Common Travel Agreement arrangements.

    3 EU Other students (excludes Republic of Ireland nationals living in GB, NI or ROI) are charged tuition fees in line with international fees.

    All tuition fees quoted are for the academic year 2022-23, and relate to a single year of study unless stated otherwise. Tuition fees for 2023 will be updated later in 2022, and will be subject to an annual inflationary increase, unless explicitly stated otherwise.

    NI, GB and ROI fees for 2022 entry will be published soon. International fees for 2022 entry can be viewed here: www.qub.ac.uk/International/International-students/International-tuition-fees

    Tuition fee rates are calculated based on a student’s tuition fee status and generally increase annually by inflation. How tuition fees are determined is set out in the Student Finance Framework.

    Additional course costs

    All Students

    Depending on the programme of study, there may be extra costs which are not covered by tuition fees, which students will need to consider when planning their studies.

    Students can borrow books and access online learning resources from any Queen's library.

    If students wish to purchase recommended texts, rather than borrow them from the University Library, prices per text can range from £30 to £100. A programme may have up to 6 modules per year, each with a recommended text.  

    Students should also budget between £30 to £75 per year for photocopying, memory sticks and printing charges.  

    Students undertaking a period of work placement or study abroad, as either a compulsory or optional part of their programme, should be aware that they will have to fund additional travel and living costs.

    If a final year includes a major project or dissertation, there may be costs associated with transport, accommodation and/or materials. The amount will depend on the project chosen. There may also be additional costs for printing and binding.

    Students may wish to consider purchasing an electronic device; costs will vary depending on the specification of the model chosen.

    There are also additional charges for graduation ceremonies, examination resits and library fines.

    How do I fund my study?

    There are different tuition fee and student financial support arrangements for students from Northern Ireland, those from England, Scotland and Wales (Great Britain), and those from the rest of the European Union.

    Information on funding options and financial assistance for undergraduate students is available at www.qub.ac.uk/Study/Undergraduate/Fees-and-scholarships/.

    Scholarships

    Each year, we offer a range of scholarships and prizes for new students. Information on scholarships available.

    International Scholarships

    Information on scholarships for international students, is available at www.qub.ac.uk/International/International-students/International-scholarships/.

    PREV
    Careers

    NEXT
    Apply

  • Apply

    How and when to Apply

    How to Apply

    Application for admission to full-time undergraduate and sandwich courses at the University should normally be made through the Universities and Colleges Admissions Service (UCAS). Full information can be obtained from the UCAS website at: www.ucas.com/students.

    When to Apply

    UCAS will start processing applications for entry in autumn 2023 from 1 September 2022.

    Advisory closing date: 25 January 2023 (18:00). This is the 'equal consideration' deadline for this course.

    Applications from UK and EU (Republic of Ireland) students after this date are, in practice, considered by Queen’s for entry to this course throughout the remainder of the application cycle (30 June 2023) subject to the availability of places.

    Applications from International and EU (Other) students are normally considered by Queen’s for entry to this course until 30 June 2023. If you apply for 2023 entry after this deadline, you will automatically be entered into Clearing.

    Applicants are encouraged to apply as early as is consistent with having made a careful and considered choice of institutions and courses.

    The Institution code name for Queen's is QBELF and the institution code is Q75.

    Further information on applying to study at Queen's is available at: www.qub.ac.uk/Study/Undergraduate/How-to-apply/

    Apply via UCAS

    Terms and Conditions

    The terms and conditions that apply when you accept an offer of a place at the University on a taught programme of study. Queen's University Belfast Terms and Conditions.

    Additional Information for International (non-EU) Students

    1. Applying through UCAS
      Most students make their applications through UCAS (Universities and Colleges Admissions Service) for full-time undergraduate degree programmes at Queen's. The UCAS application deadline for international students is 30 June 2023.
    2. Applying direct
      The Direct Entry Application form is to be used by international applicants who wish to apply directly, and only, to Queen's or who have been asked to provide information in advance of submitting a formal UCAS application. Find out more.
    3. Applying through agents and partners
      The University’s in-country representatives can assist you to submit a UCAS application or a direct application. Please consult the Agent List to find an agent in your country who will help you with your application to Queen’s University.

    Download a prospectus

    Keywords

    ARTIFICIAL INTELLIGENCE

    DAT ANALYTICS BIG DATA

    DEEP LEARNING

    MACHINE LEARNING

Register your interest
Course Vacancy Status

Below is the current vacancy status for this course. For further information please contact us.

Student Type
Places available?
NI and RoI Students
GB Students
International and EU (not RoI) Students