MSc Computing and Information Systems
01 Sep 2023 - 31 Aug 2028
| Course Leader | Nathan Thomas |
|---|---|
| Course Team | Sharan Johnstone |
| Awarding Body | University of South Wales |
| Teaching Institutions | University of South Wales |
| Modes of Study | Full Time, Part Time |
Document Version
| Version | 6 |
|---|---|
| Valid From | 01 Sep 2023 |
| Valid To | 31 Aug 2028 |
QAA Benchmarks
Educational Aim
a. to develop a systematic understanding of knowledge, tools and techniques at the forefront of the discipline and a critical awareness of trends and developments relevant to the field of study;
b. to develop an awareness of relevant professional practice, and related legal, social and ethical issues;
d. to develop the ability to deal with complex issues both systematically and creatively, apply understanding, develop ideas, solve problems and make sound judgements, often in the absence of complete data;
e. to develop the ability to employ reflection and clearly communicate conclusions, as well as the knowledge and rationale underpinning these, to specialist and non-specialist audiences;
f. to develop the student's ability to employ autonomy and originality in the application of the principles and practices of the discipline in producing a justified solution to a significant problem that is informed by a critical review of research, and facilitate the development of a self-directed, autonomous learner.
g. to enhance understanding of, and develop an ability to apply, strategic, practical and conceptual understanding in the broad context of ICT application development where there are many interacting factors.
k. to take responsibility for planning and developing a project, showing leadership where required, and to exercise broad autonomy and judgement across a significant area of work or study;
Learning Outcomes
| A1 | To understand current developments in computer technology, programming and database systems, and the wider context in which they are used. |
| A2 | To demonstrate a critical understanding of current and developing data models and database systems. |
| A3 | To demonstrate an understanding of the key concepts and techniques associated with the collection and analysis of complex data sets. |
| A4 | To understand different theoretical, methodological and practical approaches to programming |
| A5 | To understand current developments in project management, its techniques and tools. |
| A6 | To employ autonomy and originality in the application of computing, award and research skills to a complex problem. |
| B1 | To plan and develop courses of action that initiate or underpin substantial ICT developments. |
| B2 | To exercise autonomy and judgement in the selection of optimal solutions to database-related problems. |
| B3 | To be able to plan and implement a secure data analytics system. |
| B4 | To take responsibility for planning and developing a project, and to exercise broad autonomy and judgement across a significant area of work or study. |
| B5 | To initiate and lead complex tasks and processes, taking responsibility – where relevant – for the work and roles of others. |
| B6 | To further develop the student's investigative, research, writing and presentation skills as a self-directed, autonomous learner. |
| C1 | To be able to apply strategic, practical and conceptual understanding in the broad context of ICT application development where there are many interacting factors. |
| C2 | To determine and use appropriate design and modelling techniques to develop advanced database system applications within legislative constraints. |
| C3 | To determine appropriate storage methods for datasets, as well as how to manage, process and query large datasets in order to extract information that can be used to inform decision making processes to meet business goals. |
| C4 | To conceptualise a problem situation that involves many interacting factors, and to determine and use appropriate approaches to producing a software solution. |
| C5 | To determine and use appropriate project management techniques and tools in contexts where there are many interacting factors. |
| C6 | To determine and use appropriate research methods and approaches within an appropriate ethical framework. |
| C7 | To produce a justified solution to a significant problem that is informed by a critical review of research. |
Course Structure
Level 7 Modules
| Module Code | Module Id | Module Title | Module Status | Credit Value | Module Type |
|---|---|---|---|---|---|
| IS4S703 | MOD000992 | ICT Systems Development | Running | 20 | specified |
| IS4S706 | MOD000995 | Project Management and Research Methodology | Running | 20 | specified |
| IS4S761 | MOD009823 | Principles of Computing | Running | 20 | specified |
| IS4S765 | MOD009112 | Big Data and Analytics | Running | 20 | specified |
| IS4S766 | MOD009113 | GIS Principles and Practice | Running | 20 | optional |
| IS4S767 | MOD011897 | Software Development | Running | 20 | specified |
| IS4S768 | MOD013352 | Networking Technologies | Running | 20 | optional |
| IS4T702 | MOD013482 | MSc Project | Running | 60 | core |
| IY4S710 | MOD009206 | Security Management | Running | 20 | optional |
Teaching and Assessment
Learning and Teaching Methods
Employer Engagement
Employer Engagement will be achieved by:
Visiting Speakers
As appropriate
Volunteering
Local employers seeking volunteer support for IT services contact the department, such opportunities are advertised to students on this course.
Fieldtrips
Visits to local employers may be organised as appropriate.
Employer Forums
The School organises an employer forum as appropriate.
Other
The MSc Project provides a particularly useful opportunity for students to engage with employers, perhaps by solving a real-life problem or developing a prototype of a potential new software product.
Most modules use case studies, scenarios and examples from the computer industry to illustrate concepts and their importance. Opportunities for work-related learning activities continue as students engage in and contribute in a positive manner to the solution of world of work tasks and problems.
Means of Assessment
Learning Support
Induction
The course team will plan and run a programme of induction activities during the first week of attendance. Induction lectures are recorded and made available to students through Blackboard, supporting students who join the course after induction week or do not attend.
The Universities ICIS system provides access to course information and module definitions.
Personal Academic Coach
The Course Leader acts as personal tutor who is able to meet students on a regular basis. The relatively small cohort sizes means that the Course Leader quickly recognises each student and identifies each one’s engagement and progress.
Learner Analytics
This can be obtained using a variety of tools such as Course Evaluation within Unilearn (Blackboard) and JISC. This data helps to identify students who are not engaging or performing to expected standards, allowing the Course Leader to intervene and offer appropriate support to students where necessary.
Office hours
Staff work regular office hours, although commitments to teaching and other responsibilities mean they are unavailable at certain times each day. Students may approach lecturers for support when they are available (either in person or using remote methods such as Microsoft Teams), and staff will make every effort to accommodate this, although it may be necessary to make appointments in advance during busy periods.
Tutorials
Every module has at least one hour of tutorial or lab practical where students are able to practice what they are learning and receive individual support.
Formative Assessment
Lectures and tutorials contain formative exercises to encourage students to experiment and gain practical experience.
Progress meetings
Each student has a project supervisor for their project where they have regular meetings throughout the project period.
Research Supervision
Each student has a project supervisor for their project where they have regular meetings throughout the project period
Online Resources
Teaching and coursework assessment materials are made available on-line through the University’s virtual learning environment (Unilearn). Modern computing laboratories provide access to specialist resources and students can gain remote access to software if working from home. Each student has an academic e-mail account that is particularly useful when requesting support from teaching and tutorial staff.
Advice Zone
USW students have access to the Advice Zone. Typically, this falls under the purview of Student Services. Students can use the USW Advice Zone for any problems they may have and will deal with the USW Advice Zone for guidance on applying for Extenuating Circumstances, Appeals etc.
Disability
Students with any disabilities can request support from Student Services or USW advice zone.
IT/Library
USW has a modern up-to date library which provides access to textbooks, journals, on-line materials and IT equipment.
Course Exit Points
| Award | Criteria | Final |
|---|---|---|
| Master of Science | 180 credits of which at least 150 must be at Level 7 and no more than 30 at Level 6 | Final |
| Postgraduate Certificate | 60 credits with at least 40 at Level 7 and no more than 20 at Level 6 | Exit |
| Postgraduate Diploma | 120 credits of which at least 90 must be at Level 7 and no more than 30 at Level 6 | Exit |
Progression Route
Typically, MSc graduates continue their careers in industry or commence doctoral research.
Entry Requirements
Admission to the course is typically through the following qualifications:
The MSc Computing and Information Systems is designed for graduates with a minimum 2:2 Honours degree or equivalent in a connected subject.
Typically entrants will have graduated in a technical degree – such as Computer Science, Information Technology, Business Information Systems, or Electronic Engineering – and need to further develop their skills in systems development, advanced database systems, and project management.
Candidates applying to the course with non-standard qualifications will be judged on an individual basis using Recognition of Prior Learning procedures as defined in the University’s Regulations. For example, the University may admit students on the basis of their prior experiential learning, provided that it is identifiable, relevant to the programme of study for which they are applying and provides sufficient evidence of their ability.
The School of Computing and Mathematics seeks actively to promote University policies on equal opportunities and widening access and will seek to recruit as wide a range of students as the current mode of attendance and admission requirements permit.
The procedures, criteria and regulations for admission, including promotion of wider access and equal opportunities will follow those established for the existing post-graduate provision offered by the School of Computing and Mathematics. Normally, evidence will be sought of successful completion of an under-graduate Honours degree and, where appropriate, a minimum average IELTS (International English Language Testing System) score of 6.5.
Inclusive Curriculum Statement
The University of South Wales operates a policy of inclusive learning, teaching and assessment to ensure that all students have an equal opportunity to fulfil their educational potential. Course teams will have considered ways of designing out any potentially disadvantageous element of courses during the course design process. However some specific needs may remain, details about how to apply to have your needs assessed can be found at: http://unilife.southwales.ac.uk/pages/3040-disability-and-dyslexia-service/
Addendum for Delivery at a Partner Institution
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Methods Of Quality Standards
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Quality Of Standards Indicators
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