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Study information

Advanced Computer Science with Business (2023)

1. Programme Title:

Advanced Computer Science with Business

NQF Level:

7

2. Description of the Programme (as in the Business Approval Form)

This is an advanced Masters programme, linked to internationally leading research in Computer Science, but also allowing you to study current Business practice. It focuses on the latest techniques and technologies, teaching you how to apply these to complex contemporary problems across the breadth of society. You will be able to engage with the latest developments from a range of Computer Science topics with leading academics in the field, together with experts in Management and Business at the University of Exeter Business School. Particular Computer Science research strengths include artificial intelligence, machine learning, data science, high performance computing and networks, and cyber-security. The MSc has a strong focus on career-oriented postgraduate training, emphasising the team-working skills to enhance your employability and a business-led project giving you the skills and tools to develop advanced software products in a commercial environment.

Computer Science is a growth area with excellent career development potential. The University of Exeter is a world-class research active institution which regularly features in UK Top-10 and Global Top-100 rankings. The University is making significant new investment in Computer Science.
 

3. Educational Aims of the Programme

To provide students with advanced knowledge of contemporary techniques and technologies in Computer Science and Business.

To engage students in intellectually challenging problems and solutions and to facilitate scholarship.

To develop research skills, software development skills, personal skills and core academic skills that will prepare students for a wide range of employment opportunities.

The MSc Advanced Computer Science provides advanced training in Computer Science for students wishing to gain advanced skills in preparation for commercial software development. You will then undertake a major Computer Science project in a business context, engaging closely with a business to develop a software solution.  Teaching and learning will be through lectures, seminars, workshops and group work on Exeter’s Streatham campus, with the business project conducted as a placement at a company premises. Software development skills, necessary for commercial and academic research, will also be honed through this major individual research project.

4. Programme Structure

The MSc Advanced Computer Science with Business programme is a 1 year programme of study at National Qualification Framework (NQF) Level 7 (as confirmed against the FHEQ).  This programme is divided into ‘Stages’. Each Stage is normally equivalent to an academic year. The programme is divided into units of study called ‘modules’ which are assigned a number of ‘credits’. The credit rating of a module is proportional to the total workload, with 1 credit being nominally equivalent to 10 hours of work. The  programme comprises 180 credits in total.

Exit Awards

If you do not complete the programme, you may be able to exit with a lower qualification.

Postgraduate Diploma: At least 120 credits of which 90 or more must be at level M.

Postgraduate Certificate: At least 60 credits of which 45 or more must be at level M.

5. Programme Modules

The following tables describe the programme and constituent modules. Constituent modules may be updated, deleted or replaced as a consequence of the annual programme review of this programme. Details of the modules currently offered may be obtained from the College web site:

http://intranet.exeter.ac.uk/emps/studentinfo/subjects/computerscience/modules/

Stage 1

Code Title Credits Compulsory NonCondonable
ECMM454Computer Science Business Project60YesYes
Select up to 90 credits
ECM34XXECM34XX Module in Computer Science (up to 30 credits)30NoNo
ECMM409Nature-Inspired Computation15NoNo
ECMM410Research Methodology15NoNo
ECMM422Machine Learning15NoNo
ECMM424Computer Modelling and Simulation15NoNo
ECMM426Computer Vision15NoNo
ECMM445Learning from Data15NoNo
ECMM447Social Networks and Text Analysis15NoNo
ECMM461High Performance Computing 15NoNo
ECMM462Fundamentals of Security15NoNo
MTHMXXXMTHMXXX Mathematics Modules15NoNo
SOCM033Data Governance and Ethics15NoNo
Select at least 30 credits
BEAM045Accounting for International Managers15NoNo
BEMM068Managing Competitive Strategy15NoNo
BEMM071Leadership and Global Challenges15NoNo
BEMM114Managing Operations15NoNo
BEMM118Strategic Innovation Management15NoNo
BEMM129Digital Business Models15NoNo
BEMM148Marketing Strategy15NoNo
Part time students will follow:
 
Year 1
You must complete at least 4 modules (60 credits).
 
Year 2
You must complete at least 4 modules (60 credits), and also ECMM454 Computer Science Business Project.
 
Students may choose up to 30 credits of NQF Level 7 modules which are not listed above, either from within or outside the College of Engineering, Mathematics and Physical Sciences, subject to approval, timetabling and satisfaction of prerequisites.
 
Not all modules will be available every year, and new modules may be made available from time to time
 

6. Programme Outcomes Linked to Teaching, Learning & Assessment Methods

On successfully completing the programme you will be able to: Intended Learning Outcomes (ILOs) will be accommodated & facilitated by the following learning & teaching and evidenced by the following assessment methods:

A Specialised Subject Skills & Knowledge

A Specialised Subject Skills & Knowledge 

1) Demonstrate competence in advanced Computer Science methods and their application to business-led problems.

2) Demonstrate the ability to work in a team-based software development environment, working for a client.

3) Demonstrate an appreciation of the strategic importance of business processes and an ability to document them.

4) Demonstrate an ability to analyse a business-led Computer Science problem and develop an appropriate solution using appropriate software tools.

5) Show awareness of the social and business context of computer science.

Learning & Teaching Activities

Lectures, workshops, seminars, practicals, online materials and formal training. Each module also has core and supplementary texts, or material recommended by module deliverers, which provide in-depth coverage of the subject and go beyond the lectures.

Assessment Methods

The assessment strategy for each module is explicitly stated in the full module description given to students. Group and team skills are addressed within modules dealing with specialist and advanced skills.

Assessment methods will include essays, technical reports, closed book tests, practical exercises in programming and data analysis, project work, and individual and group presentations.

B Academic Discipline Core Skills & Knowledge

6) Critically analyse and interpret relevant academic and technical literature.

7) Demonstrate competence in underpinning mathematical and computational techniques, and software development toos..

8) Integrate theory and application.

9) Be able to formulate problems from descriptions by non-Computer Scientists and devise algorithmic solutions to them.

10) Be able to explain Computer Science concepts and solutions to non-specialists in a business context.

11) Be able to organise tasks into a structured form.

12) Appreciate the basic legal, regulatory and professional frameworks in which computer science operates. 

Learning & Teaching Activities

Lectures, workshops, seminars, practicals, online materials and formal training. Each module also has core and supplementary texts, or material recommended by module deliverers, which provide in-depth coverage of the subject and go beyond the lectures.

Assessment Methods

The assessment strategy for each module is explicitly stated in the full module description given to students. Group and team skills are addressed within modules dealing with specialist and advanced skills.

Assessment methods will include essays, technical reports, closed book tests, practical exercises in programming and data analysis, project work, and individual and group presentations.

C Personal / Transferable / Employment Skills & Knowledge

13) Effectively communicate methods and results both written reports and oral presentations.

14) Demonstrate awareness of tools and technologies relevant to computer science.

15)  Develop a systematic understanding and knowledge of a new domain.

16) Work effectively independently or in a team.

Learning & Teaching Activities

Lectures, workshops, seminars, practicals, online materials and formal training. Each module also has core and supplementary texts, or material recommended by module deliverers, which provide in-depth coverage of the subject and go beyond the lectures.

Assessment Methods

The assessment strategy for each module is explicitly stated in the full module description given to students. Group and team skills are addressed within modules dealing with specialist and advanced skills.

Assessment methods will include essays, technical reports, closed book tests, practical exercises in programming and data analysis, project work, and individual and group presentations.

7. Programme Regulations

Credit

Postgraduate (PG) Programmes: The programme consists of 180 credits, with 90 credits taken at each stage where the programme is offered part time over 2 years and 60 credits taken at each stage where the programme is offered part time over 3 years. In total, participants must take at least 180 credits at NQF level 7. The pass mark for award of credit in PG modules (NQF level 7) is 50%.

Progression

Condonement is the process that allows you to be awarded credit (and so progress to the next stage or, in the final stage, receive an award), despite failing to achieve a pass mark at a first attempt. You are not entitled to reassessment in condoned credit.

Postgraduate (PG) Programmes: Up to (45/30/20) credits of failure can be condoned on the following conditions:

  1. You must have completed and been assessed in modules amounting to sufficient credit for the final award (i.e. 180 credits for a Masters; 120 credits for a PGDip; and 60 credits for a PGCert).
  1. You must pass the modules marked with a 'Yes' in the 'non-condonable' column in the tables above.
  1. You must achieve an average mark of at least 50% across the full 60 or 90 credits of assessment in the stage, including any failed and condoned modules.
  1. Condonement can only be applied to failed modules which have a mark of 0–49%.   

Assessment and Awards

The award will normally be based on at least 180 credits of which 150 or more must be at NQF level 7

Classification

The marking of modules and the classification of awards broadly corresponds to the following marks:

Undergraduate Degrees                                         Postgraduate Degrees

Class I    70% +                                                         Distinction   70%+

Class II   Division I 60-69%                                       Merit            60-69%

Class II   Division II 50-59%                                      Pass            50-59%

Class III  40-49%

Full details of assessment regulations for UG programmes and PGT programmes assessment regulations can be found in the Teaching Quality Assurance Manual (TQA) on the University of Exeter website.  Generic marking criteria are also published here.

Please see the Teaching and Quality Assurance Manual for further guidance.

8. College Support for Students and Students' Learning

In accordance with University policy, a system of personal tutors is in place for all students on this programme. A University-wide statement on such provision is included in the University's TQA Manual. As a student enrolled on this programme, you will receive the personal and academic support of the Programme Coordinator and will have regular scheduled meetings with your Personal Tutor; you may request additional meetings as and when required. The role of personal tutors is to provide you with advice and support for the duration of the programme and extends to providing you with details of how to obtain support and guidance on personal difficulties, such as accommodation, financial difficulties and sickness. You can also make an appointment to see individual teaching staff.

Information Technology (IT) Services provide a wide range of services throughout the Exeter campuses including open access computer rooms, some of which are available 24 hours, 7 days a week. Help may be obtained through the Helpdesk, and most study bedrooms in halls and flats are linked to the University's campus network.

Additionally, the College has its own dedicated IT support staff, helpdesk and computer facilities which are linked to the wider network, but which also provide access to some specialised software packages. Email is an important channel of communication between staff and students in the College and an extensive range of web-based information (see https://intranet.exeter.ac.uk/emps/) is maintained for the use of students, including a comprehensive and annually revised student handbook.

The Harrison Learning Resource Centre is generally open during building open hours. The Centre is available for quiet study, with four separate rooms that can be booked for meetings and group work. Amongst its facilities, the Learning Resource Centre has a number of desks, four meeting rooms with large LCD screens, and free use of a photocopier. Also available are core set texts from your module reading lists, and undergraduate and MSc projects from the past two years.

Online Module study resources provide materials for modules that you are registered for, in addition to some useful subject and IT resources. Generic study support resources, library and research skills, past exam papers, and the 'Academic Honesty and Plagiarism' module are also available through the student portal (http://vle.exeter.ac.uk).

Student/Staff Liaison Committee enables students & staff to jointly participate in the management and review of the teaching and learning provision.

 

10. Admission Criteria

All applications are considered individually on merit. The University is committed to an equal opportunities policy with respect to gender, age, race, sexual orientation and/or disability when dealing with applications. It is also committed to widening access to higher education to students from a diverse range of backgrounds and experience.

Candidates must satisfy the general admissions requirements of the University of Exeter

Candidates will be required to have at least a 2:1 degree in a numerate subject, usually Computer Science or a closely related discipline, and must be able to show evidence of good programming and software development ability in recognised modern computer languages.

Candidates may be interviewed by Skype or similar to assess their programming ability and suitability for the course.

 

11. Regulation of Assessment and Academic Standards

Each academic programme in the University is subject to an agreed College assessment and marking strategy, underpinned by institution-wide assessment procedures.

The security of assessment and academic standards is further supported through the appointment of External Examiners for each programme. External Examiners have access to draft papers, course work and examination scripts. They are required to attend the Board of Examiners and to provide an annual report. Annual External Examiner reports are monitored at both College and University level. Their responsibilities are described in the University's code of practice. See the University's TQA Manual for details.

 

12. Indicators of Quality and Standards

Certain programmes are subject to accreditation and/or review by Professional and Statutory Regulatory Bodies (PSRBs).

 

14 Awarding Institution University of Exeter
15 Lead College / Teaching Institution College of Engineering, Mathematics and Physical Sciences
16 Partner College / Institution
17 Programme accredited/validated by
18 Final Award(s) MSc
19 UCAS Code (UG programmes) compbus
20 NQF Level of Final Awards(s): 7
21 Credit (CATS and ECTS) 180 (90 ECTS)
22 QAA Subject Benchmarking Group (UG and PGT programmes) Data Science
23 Origin Date May 29th 2024 Last Date of Revision: May 29th 2024