Learning Outcomes for CompSci & DataSci Diplomas at Univ. of London, Study notes of Computer Science

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Programme Specification

Computer Science

(and specialisms)

BSc

Graduate Diploma

Graduate Certificate

Important document – please read

(BSc, Graduate Diploma, Graduate Certificate)

• Important information regarding the Programme Specification Contents
• Title and name of qualifications
• Entrance requirements
• Educational aims and learning outcomes
• Learning, teaching and assessment strategies
• Assessment methods
• Student support and guidance
• Quality evaluation and enhancement
• After graduation

(BSc, Graduate Diploma, Graduate Certificate)

• We will not recognise or accredit prior learning for a module later than 14 days after the module start date. Performance Based Admissions
• Rules for progressing while on the PBA route have been clarified Alternative Assessments during the Coronavirus (COVID-19) Outbreak In these unprecedented times, the University has and continues to respond quickly to the impact of COVID-19, which has resulted in changes to our assessment processes. In line with our current General Regulations, the University may offer you alternative assessments where necessary. This includes holding online timed assessments in place of written examinations, which are usually held at examination centres. Please note that this statement replaces any published information relating to assessments or written examinations in any of our materials including the website. Previously published materials relating to examinations should therefore be read in conjunction with this statement. The University of London continues to work towards supporting the academic progression of all its students. The University also continues to be mindful of the health and wellbeing of its students during this pandemic, whilst protecting the academic standards of its awards.

(BSc, Graduate Diploma, Graduate Certificate)

Title and name of qualifications Undergraduate degrees of the University of London are awarded with Honours. The award certificate will indicate the level of the academic performance (Honours) achieved by classifying the award. The classification of the degree will be based on the ratified marks from the completed assessments. The standard classification system for Bachelor’s degrees with Honours is: First-Class; Upper Second-Class; Lower Second-Class; Third-Class. A Pass Degree or Ordinary Degree is a degree without Honours. The classification system for Graduate Diploma and Graduate Certificates is:

• Distinction
• Merit
• Pass Specific rules for the classification of awards are given in the Programme Regulations, under Scheme of Award.

Programme name

Computer Science and specialisms

Award titles

Bachelor of Science:

• Bachelor of Science in Computer Science
• Bachelor of Science in Computer Science (Data Science)
• Bachelor of Science in Computer Science (Machine Learning and Artificial Intelligence)
• Bachelor of Science in Computer Science (Web and Mobile Development)
• Bachelor of Science in Computer Science (User Experience)
• Bachelor of Science in Computer Science (Physical Computing and The Internet of Things)
• Bachelor of Science in Computer Science (Games Development)
• Bachelor of Science in Computer Science (Virtual Reality) The Diploma of Higher Education and Certificate of Higher Education are only available as exit/intermediate qualifications to students studying a Bachelor of Science programme. The Bachelor of Science (unclassified/pass degree) is only available as an exit qualification.
• Bachelor of Science in Computer Science (unclassified/pass degree)
• Diploma of Higher Education in Computer Science
• Certificate of Higher Education in Computer Science

(BSc, Graduate Diploma, Graduate Certificate)

• Certificate of Higher Education in Computing Science Students who for academic or personal reasons are unable to complete the BSc, may exit with the successful completion of 240 or 120 credits, and be awarded a Diploma of Higher Education in Computer Science or a Certificate of Higher Education in Computer Science respectively. The exit qualification for Graduate Diploma programmes is the:
• Graduate Certificate Students who for academic or personal reasons are unable to complete the Graduate Diploma, may exit with the successful completion of 60 credits, and be awarded a Graduate Certificate.

Individual Modules

There is no provision for individual modules of the programme to be studied on a standalone basis.

Award titles may be abbreviated as follows:

Bachelor of Science – BSc Diploma of Higher Education – DipHE Certificate of Higher Education – CertHE

Level of the programmes

The Framework for Higher Education Qualifications in England, Wales and Northern Ireland (FHEQ) forms part of the UK Quality Code for Higher Education of the Quality Assurance Agency for Higher Education (QAA). The awards are placed at the following Levels of the Framework for Higher Education Qualifications (FHEQ):

• BSc – Level 6
• Graduate Diploma – Level 6
• Graduate Certificate – Level 6
• DipHE – Level 5
• CertHE – Level 4

Relevant QAA subject benchmarks group

The subject benchmarks for Computing can be found here.

Awarding body

University of London

Registering body

University of London

(BSc, Graduate Diploma, Graduate Certificate)

Academic direction

Goldsmiths, University of London

Accreditation by professional or statutory body

Not applicable

Language of study and assessment

English

Mode of study

Web supported learning with an online tutor or institution supported learning from a local institution, where this is available. Institutions which support this programme will be listed on the Institutions Directory.

BSc Programme structures

The programme will have two registration points in the year corresponding with start dates for modules. The BSc Computer Science programme is a 360 UK credit degree. For the award of a BSc Computer Science a student must complete:

• one 15 credit core module and seven 15 credit compulsory modules at FHEQ Level 4 (120 credits), plus
• eight 15 credit compulsory modules at FHEQ Level 5 (120 credits), plus
• six 15 credit optional modules at FHEQ Level 6 and
• a 30 credit project (totalling 120 credits at Level 6) For the award of a BSc Computer Science with a named specialism a student must complete:
• one 15 credit core module and seven 15 credit compulsory modules at FHEQ Level 4 (120 credits), plus
• eight 15 credit compulsory modules at FHEQ Level 5 (120 credits), plus
• five specialist 15 credit core modules and one 15 credit optional module at FHEQ Level 6 and
• a 30 credit project (totalling 120 credits at Level 6)

Graduate Diploma and Graduate Certificate Programme structures

These programmes will have two registration points in the year corresponding with start dates for modules. The Graduate Diploma programme is a 120 UK credit degree, including 90 credits at FHEQ Level 6. For the award of a Graduate Diploma a student must complete:

(BSc, Graduate Diploma, Graduate Certificate)

A student awarded the BSc with honours will have accumulated 360 UK credits ( 180 ECTS credits). A student awarded the Graduate Diploma with honours will have accumulated 120 UK credits ( 60 ECTS credits). A student awarded the Graduate Diploma with honours will have accumulated 60 UK credits ( 30 ECTS credits).

Recognition of prior learning

Recognition of prior learning is a generic term for the process by which we recognise and, where appropriate, award credit for learning that has taken place elsewhere, before entry onto this programme of study. Where the prior learning covered a similar syllabus to a module/course studied elsewhere, credit will be awarded as if you had taken the University of London module/course. See the General Regulations (Section 3 ) and the Programme Regulations for more rules relating to prior learning. The BSc programmes allow for accreditation of prior learning. A student studying a degree through the Direct Entry Route may apply for recognition and accreditation of prior learning for up to 120 credits. To be eligible to apply for recognition of prior learning a student must provide evidence to the University that they have already passed examinations that both satisfy the required learning outcomes and equate in level, content and standard to the modules(s) that form part of the programme. The qualification must have been awarded within the five years preceding the application. If a student’s prior learning is recognised, they will not have to take the corresponding module as part of their degree. Recognition of prior learning is not permitted on the Graduate Diploma and Graduate Certificate programmes. Details on how to apply for recognition of prior learning can be found on our website. See the General Regulations (Section 3) and Programme Regulations (Section 3 ) for more rules relating to recognition and accreditation of prior learning. Entrance requirements There are two application points each year corresponding to the two study sessions. Applicants must submit an application in line with the procedures and deadlines set out on the website. BSc Entry route 1 – Direct entry route To be eligible to register, applicants must:

• normally be aged 17 or above by the registration deadline of the session in which they will be entering

(BSc, Graduate Diploma, Graduate Certificate)

• satisfy the University of London General Entrance Requirements for an undergraduate programme
• have a qualification equivalent to a pass at UK GCE 'AS' level in a mathematical subject or a UK GCSE/GCE 'O' level in Mathematics at no less than grade B (equivalents can be found on our website).
• satisfy the University of London English Language Requirements BSc Entry route 2 – Performance based admission If applicants do not meet the academic requirements for direct entry, they can apply for the programme via the performance based admission route. To be eligible to register, applicants must:
• have passed at least four separate subjects at GCSE or GCE O level, with grades A to C, or the equivalent; and
• satisfy the University of London English Language Requirements To be admitted onto the full BSc programme, applicants must:
• pass both Introduction to Programming I and either Computational OR Discrete Mathematics with a weighted average of 40% or above. Where students achieve a mark of 50% or higher in the coursework element for both modules, they will be admitted onto the full BSc programme and permitted to register for further modules in the next study session, subject to any relevant progression rules. Where students achieve a mark of 49% or below in the coursework element for one or both modules, they may continue to the final assessment. If students achieve a pass in both modules overall, they will be admitted onto the full BSc programme and permitted to register for further modules in the next available session, subject to any relevant progression rules. Students on the performance based admission route will have three attempts to pass each module. This route helps students to develop the necessary skills to complete the full BSc Computer Science programme successfully. Graduate Diplomas and Graduate Certificates To be eligible to register, applicants must:
• have a Bachelor’s degree of at least the equivalent to a UK 2:2 in either: o computer science or another degree containing both mathematics and programming, or o another degree containing mathematics combined with at least 1 year of professional programming experience. Full details of entrance requirements are also given on the programme page.

English language requirements

All applicants must satisfy the English language requirements for the programmes. These are set out in detail on the English requirements page. Where an applicant does not meet the prescribed English language proficiency requirements but believes that they can

(BSc, Graduate Diploma, Graduate Certificate)

Module specific requirements Note: The published fees associated with this programme of study do not include the cost of any additional hardware or software purchased. Students are responsible for budgeting for this requirement. Certain modules may have additional software requirements and students should have the necessary admin rights in order to be able to install new software on their computer. Any software required will always be freely available and compatible with Windows and Mac. Wherever possible, it will also be compatible with GNU/Linux. Further information will be provided via the VLE upon module registration. Certain modules may also have additional hardware requirements as set out in the table below. Module Requirements Computational Mathematics

• A scientific calculator or equivalent Mobile Development (^) • Access to an Android or Apple smart phone that can be connected to a computer using a USB cable Games Development (^) • Students will need a computer that matches the specifications for Unity 3D (https://unity3d.com/). 3D Graphics and Animation
• Students will need a computer that matches the specifications for Unity 3D (https://unity3d.com/. Virtual Reality (^) • Students will need a computer that matches the specifications for Unity 3D (https://unity3d.com).
• VR Head Mounted Display with the ability to be used in developer mode. Physical Computing and the Internet of Things
• An Arduino Starter Kit or similar: https://store.arduino.cc/genuino-starter-kit Optional:
• A small kit to make electronics at home (tweezers, cutters, cutting mat, protective glasses)
• A multimeter

(BSc, Graduate Diploma, Graduate Certificate)

Note: Students should ensure they have access to the listed hardware (i.e. an Arduino kit or similar) and have the ability to install the listed software on their computer before registering for these modules. In the institution-supported model the institution will install all necessary software on lab machines where appropriate. With specific reference to the Arduino kit (or similar), we suggest that the following website be used as a starting point, though the components may be sourced individually: https://store.arduino.cc/distributors. Students should use the components with due care and attention as well as in accordance with any instructions provided in the kit. The University of London cannot accept any responsibility for loss or injury sustained in their use.

Students with specific access requirements

The University of London welcomes applications from disabled students and/or those who have specific access requirements. The University will make every effort to provide reasonable adjustments to enable those with a disability, learning difficulty or specific access requirements to have the same opportunity as all other students to successfully complete their studies. The University is committed to managing the application procedure and the programme itself to ensure that services are accessible for all students and that an inclusive environment is created. The Admissions team encourages those students with a disability, or others who may need special arrangements to assist in taking assessments (such as separate room or special aids), to complete the relevant section of the application form, or contact the Inclusive Practice Manager. Requests are considered by a University panel, whose purpose is to ensure that students with disabilities and/or specific access requirements are neither advantaged nor disadvantaged by such arrangements when compared with other students. These considerations remain separate from the academic selection processes. For further information, see the Inclusive Practice Policy.

Sources of funding and scholarships

Information about potential sources of funding and scholarships is updated annually and where available is included in the programme web pages. For further information see the website. Educational aims and learning outcomes Computer Science qualifications are designed to be innovative online programmes and provide students with support through virtual and local learning environments, and the flexibility to study at any time and from anywhere around the globe.

BSc Computer Science learning outcomes

Students who successfully complete the BSc Computer Science will, in addition to the learning objectives of the Diploma of Higher Education and Certificate of Higher Education, be able to:

(BSc, Graduate Diploma, Graduate Certificate)

• Demonstrate a sound understanding of all the main areas of Machine Learning and AI and also demonstrate the ability to exercise critical judgement in the evaluation of Machine Learning and AI applications;
• Apply a critical understanding of essential concepts, principles and practices of Machine Learning and AI, and critically evaluate the results, in the context of loosely defined scenarios, using structured arguments based on subject knowledge to justify the selection and use of tools and techniques;
• Produce work involving problem identification and the analysis, design or the development of a system, with appropriate documentation, recognising the important relationships between these;
• Show problem solving and critical evaluation skills, draw upon supporting evidence and demonstrate a deep understanding of the need for a high quality solution;
• Demonstrate the ability to produce organised work with minimum guidance;
• Demonstrate the ability to produce a substantial piece of work from problem inception to implementation and documentation.

BSc Computer Science (Web and Mobile Development learning outcomes

Students who successfully complete the BSc Computer Science (Web and Mobile Development) will, in addition to the learning objectives of the Diploma of Higher Education and Certificate of Higher Education, be able to:

• Demonstrate a sound understanding of all the main areas of web development and the main areas of user experience analysis, design and development with the ability to exercise critical judgement to the evaluation of web-based applications;
• Apply a critical understanding of essential concepts, principles and practices of web and mobile development, and critically evaluate the results, in the context of loosely defined scenarios, using structured arguments based on subject knowledge to justify the selection and use of tools and techniques;
• Produce work involving problem identification and the analysis, design or the development of a system, with appropriate documentation, recognising the important relationships between these;
• Show problem solving and critical evaluation skills, draw upon supporting evidence and demonstrate a deep understanding of the need for a high quality solution;
• Demonstrate the ability to produce organised work with minimum guidance;
• Demonstrate the ability to produce a substantial piece of work from problem inception to implementation and documentation.

BSc Computer Science (User Experience) learning outcomes

Students who successfully complete the BSc Computer Science (User Experience) will, in addition to the learning objectives of the Diploma of Higher Education and Certificate of Higher Education, be able to:

(BSc, Graduate Diploma, Graduate Certificate)

• Demonstrate a sound understanding of all the main areas of user experience analysis, design and development and with the ability to exercise critical judgement to the evaluation of user focussed applications;
• Apply a critical understanding of essential concepts, principles and practices of user experience design, and critically evaluate the results, in the context of loosely defined scenarios, using structured arguments based on subject knowledge to justify the selection and use of tools and techniques;
• Produce work involving problem identification and the analysis, design or the development of a system, with appropriate documentation, recognising the important relationships between these;
• Show problem solving and critical evaluation skills, draw upon supporting evidence and demonstrate a deep understanding of the need for a high quality solution;
• Demonstrate the ability to produce organised work with minimum guidance;
• Demonstrate the ability to produce a substantial piece of work from problem inception to implementation and documentation.

BSc Computer Science (Physical Computing and Internet of Things) learning

outcomes

Students who successfully complete the BSc Computer Science (Physical Computing and Internet of Things) will, in addition to the learning objectives of the Diploma of Higher Education and Certificate of Higher Education, be able to:

• Demonstrate a sound understanding of all the main areas of physical computing and internet of things and with the ability to exercise critical judgement to the evaluation of physical computing development applications and their place in the internet of things;
• Apply a critical understanding of essential concepts, principles and practices of physical computing and internet of things, and critically evaluate the results, in the context of loosely defined scenarios, using structured arguments based on subject knowledge to justify the selection and use of tools and techniques;
• Produce work involving problem identification and the analysis, design or the development of a system, with appropriate documentation, recognising the important relationships between these;
• Show problem solving and critical evaluation skills, draw upon supporting evidence and demonstrate a deep understanding of the need for a high quality solution;
• Demonstrate the ability to produce organised work with minimum guidance;
• Demonstrate the ability to produce a substantial piece of work from problem inception to implementation and documentation.

BSc Computer Science (Games Development) learning outcomes

Students who successfully complete the BSc Computer Science (Games Development) will, in addition to the learning objectives of the Diploma of Higher Education and Certificate of Higher Education, be able to:

(BSc, Graduate Diploma, Graduate Certificate)

• Select and apply essential concepts, principles and practices of computer science in the context of well defined, limited scenarios, using structured arguments to justify the selection and use of tools and techniques;
• Develop a simple system to a specification, with documentation;
• Show problem solving and evaluation skills, drawing upon supporting evidence;
• Demonstrate the ability to produce organised work given appropriate guidance.

Diploma of Higher Education in Computer Science learning outcomes:

Students who successfully complete the Diploma of Higher Education in Computer Science will be able to:

• Demonstrate knowledge and critical understanding of the main areas of computer science and also demonstrate the ability to apply this to the evaluation of computing applications;
• Apply a critical understanding of essential concepts, principles and practices of computer science in the context of well-defined scenarios, using structured arguments based on subject knowledge to justify the selection and use of tools and techniques;
• Analyse, design and develop a system, with appropriate documentation;
• Show problem solving and evaluation skills, draw upon supporting evidence and demonstrate a general understanding of the need for a high quality solution;
• Demonstrate the ability to produce organised work (both as an individual and as part of a team) given appropriate guidance.

Graduate Diploma (Data Science) learning outcomes

Students who successfully complete the Graduate Diploma in Data Science will be able to:

• Demonstrate a sound understanding of the main areas of data science, with an ability to exercise critical judgement to the evaluation of data science applications
• Apply a critical understanding of essential concepts, principles and practices of data science, and critically evaluate the results, in the context of loosely defined scenarios, using structured arguments based on subject knowledge to justify the selection and use of tools and techniques
• Produce work involving problem identification, the analysis, the design or the development of a system, with appropriate documentation, recognising the important relationships between these
• Show problem solving and critical evaluation skills, draw upon supporting evidence
• Demonstrate the ability to produce a substantial piece of work from problem inception to implementation and documentation

(BSc, Graduate Diploma, Graduate Certificate)

Graduate Diploma (Machine Learning and Artificial Learning) learning

outcomes

Students who successfully complete the Graduate Diploma in Machine Learning and Artificial Intelligence will be able to:

• Demonstrate a sound understanding of the main areas within machine learning and artificial intelligence, with an ability to exercise critical judgement to the evaluation of machine learning and artificial intelligence applications
• Apply a critical understanding of essential concepts, principles and practices of machine learning and artificial intelligence, and critically evaluate the results, in the context of loosely defined scenarios, using structured arguments based on subject knowledge to justify the selection and use of tools and techniques
• Produce work involving problem identification, the analysis, the design or the development of a system, with appropriate documentation, recognising the important relationships between these
• Show problem solving and critical evaluation skills, draw upon supporting evidence
• Demonstrate the ability to produce a substantial piece of work from problem inception to implementation and documentation

Graduate Diploma (Web Development) learning outcomes

Students who successfully complete the Graduate Diploma in Web Development will be able to:

• Demonstrate a sound understanding of the main areas of web development, with an ability to exercise critical judgement to the evaluation of web-based applications
• Apply a critical understanding of essential concepts, principles and practices of web development, and critically evaluate the results, in the context of loosely defined scenarios, using structured arguments based on subject knowledge to justify the selection and use of tools and techniques
• Produce work involving problem identification, the analysis, the design or the development of a system, with appropriate documentation, recognising the important relationships between these
• Show problem solving and critical evaluation skills, draw upon supporting evidence
• Demonstrate the ability to produce a substantial piece of work from problem inception to implementation and documentation

Graduate Diploma (User Experience) learning outcomes

Students who successfully complete the Graduate Diploma in User Experience will be able to:

• Demonstrate a sound understanding of the main areas of user experience analysis, design and development, with an ability to exercise critical judgement to the evaluation of user-focussed applications
• Apply a critical understanding of essential concepts, principles and practices of user experience design, and critically evaluate the results, in the context of loosely defined