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Computer Science×

Cardiff University, Full Time MSc Degrees in Computer Science

We have 8 Cardiff University, Full Time MSc Degrees in Computer Science

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The MSc Advanced Computer Science will offer you exposure to key topics that are driving key technological developments and trends. Read more
The MSc Advanced Computer Science will offer you exposure to key topics that are driving key technological developments and trends.

Computer Science is one of the fastest-moving academic disciplines and the outcomes of research and innovation in this field could have a massive social impact.

The subject spans all aspects of modern life, and this programme offers you the opportunity to apply new skills and advanced techniques to the area of your choice, whilst allowing you to demonstrate that you are at the forefront of your discipline.

Core to this programme is the opportunity to further develop the scope of your problem-solving skills by studying advanced programming languages and new programming paradigms.

You will choose to study optional, research-led modules that allow the freedom to build a distinctive personal portfolio of skills and knowledge. These are structured around advanced topics in the School's three core research areas:

• Complex Systems
• Visual Computing
• Data and Knowledge Engineering

Distinctive features:

• This is an advanced computer science degree designed for computing graduates who wish to differentiate themselves further through an advanced mastery of the discipline.

• In addition to covering core advanced computer science topics, you may select from up to two of three research topics in which to specialise (Complex Systems, Visual Computing, Data and Knowledge Engineering).

• During the summer months you will undertake an individual research project and complete a dissertation under the supervision of a member of academic research staff. The topic for this will be driven by your own interests.

Structure

You will study taught modules to a total of 120 credits during the Diploma stage of your degree. All taught modules are worth 20 credits.

The Master’s stage of your degree will be an individual project (worth 60 credits) which you will write up as a dissertation, after the Diploma stage.

During the Diploma stage, students must take all core modules and then select further optional modules to make up their 120 credit total.

During the summer months you will undertake an individual research project and complete a dissertation (worth 60 credits) under the supervision of a member of academic research staff.

This specialist Master’s degree will provide graduates of computing with the opportunity to enhance knowledge, skills and understanding of the subject through modules taught by research experts in their specialist area.

As well as being taught a compulsory module on new programming paradigms, you will choose from a range of carefully selected modules focusing on contemporary and relevant topics currently emerging within the discipline.

Core modules:

Programming Paradigms
Dissertation

Optional modules:

Information, Network & Cyber Security
Security Techniques
High Performance Computing
Visual Computing
Pattern Recognition and Data Mining
Computer Science Topic 1: Web and Social Computing
Distributed and Cloud Computing
Human Centric Computing
Informatics
Digital Forensics
E-Commerce and Innovation
Secure Applications, Identity and Trust

Teaching

The School of Computer Science and Informatics has a strong and active research culture which informs and directs our teaching. We are committed to providing teaching of the highest standard and received an excellent report in the most recent Quality Assurance Agency (QAA) review.

Modules are delivered through a series of either full or half-day contact sessions, which include lectures, seminars, workshops, tutorials and laboratory classes.

Most of your taught modules will have further information for you to study and you will be expected to work through this in your own time according to the guidance provided by the lecturer for that module.

Support

As a School, we pride ourselves on providing a supportive environment in which we are able to help and encourage our students.

We believe that providing suitable feedback mechanisms is crucial to ensure that the best programmes of study are available to our students.

We have a student/staff panel consisting of elected student representatives and members of teaching staff who meet to discuss academic issues.

In conjunction with the work of the panel, all students are provided with an opportunity to complete feedback questionnaires at the end of the Autumn and Spring semesters.

These mechanisms allow the School to regularly review courses and ensure our students receive the best provision, delivered in a consistent manner, across all of our degrees.

At the start of your course you will be allocated a Personal Tutor who is an academic member of staff in the School and serves as a point of contact to advise on both academic and personal matters in an informal and confidential manner.

Your Personal Tutor will monitor your academic progress and supply references in support of any job applications that you make.

Your Personal Tutor will monitor your progress throughout your time at university and will support you in your Personal

Development Planning. You will see your Personal Tutor at least once each semester.

Outside of scheduled tutor sessions, our Senior Personal Tutor runs an open door policy, being on hand to advise and respond to any personal matters as they arise.

Feedback:

Feedback on coursework may be provided via written comments on work submitted, by provision of ‘model’ answers and/or through discussion in contact sessions.

Assessment

Modules will be assessed either by coursework, examination, or a combination of both.

Career prospects

Successful graduates will be able to demonstrate to employers both a deep understanding and broad knowledge concerning contemporary computer science from a research and development perspective.

Graduates will be ideally placed to pursue a number of careers such as systems architects, programmers and software developers, and will be in a strong position to pursue a research career via doctoral studies.

The selection of modules on offer aim to enhance your transferable skills and boost employment prospects.

Read less
The MSc Advanced Computer Science with Placement offers students exposure to key topics that are driving emerging technological developments and trends. Read more
The MSc Advanced Computer Science with Placement offers students exposure to key topics that are driving emerging technological developments and trends.

Computer Science is one of the fastest moving academic disciplines and the outcomes of research and innovation in this field could have a massive social impact.

The subject spans all aspects of modern life, and this programme offers you the opportunity to apply new skills and advanced techniques to the area of your choice, whilst allowing you to demonstrate that you are at the forefront of your discipline.

Core to this programme is the opportunity to further develop the scope of your problem solving skills by studying advanced programming languages and new programming paradigms.

You will choose to study optional, research-led modules that allow the freedom to build a distinctive personal portfolio of skills and knowledge. These are structured around advanced topics in the School's three core research areas:

• Complex Systems
• Visual Computing
• Data and Knowledge Engineering

You may choose to apply for a paid 7-12 month professional work placement to be undertaken on completion of Spring semester and before completing the MSc course with a 60-credit dissertation. This provides valuable work experience to develop your IT Professional skills.

Distinctive features

• An advanced computer science degree.

• Designed for computing graduates who wish to differentiate themselves further through an advanced mastery of the discipline.

• In addition to coverage of core advanced computer science topics, students may further differentiate themselves by selecting from up to two of three research topics in which to specialise (Complex Systems, Visual Computing, Data and Knowledge Engineering).

• 7-12 month experience as an IT Professional for students who successfully find a suitable placement.

Structure

Students will undertake a placement following the taught stage of the course and prior to undertaking their individual project and dissertation. Most students start their placement in the summer of Year 1. The breakdown is as follows:

Year 1: 20 credits core modules, 100 credit optional modules.
Year 2: 120 credits placement, 60 credits dissertation.
This is a full-time course undertaken over two calendar years. It is also available as a full-time course over one year or a part-time course over three years, both without placement.

You will undertake an individual research project and complete a dissertation (worth 60 credits) under the supervision of a member of academic research staff.

Year one

This specialist Master’s degree will provide graduates of computing with the opportunity to enhance your knowledge, skills and understanding of the subject through modules taught by research experts in their specialist area.

As well as being taught a compulsory module on new programming paradigms, you will choose from a range of carefully selected modules focusing on contemporary and relevant topics currently emerging within the discipline.

Core modules:

Programming Paradigms

Optional modules:

Information, Network & Cyber Security
Security Techniques
High Performance Computing
Visual Computing
Pattern Recognition and Data Mining
Computer Science Topic 1: Web and Social Computing
Distributed and Cloud Computing
Human Centric Computing
Informatics
Digital Forensics
E-Commerce and Innovation
Secure Applications, Identity and Trust

Year two

Your work placement will normally last between 7 and 12 months, usually taking place at the end of the spring semester in July between the taught elements of the course and your final dissertation, allowing you to practice the new skills you have learned and apply the knowledge you have acquired, in the workplace.

You will return to university following successful completion of your work placement at the start of the summer semester the following year to undertake your individual project and write your dissertation, with the aim of completing the course within 24 months of entry.

Core modules:

Placement
Dissertation

Teaching

The School of Computer Science and Informatics has a strong and active research culture which informs and directs our teaching. We are committed to providing teaching of the highest standard and received an excellent report in the most recent Quality Assurance Agency (QAA) review.

Modules are delivered through a series of either full or half-day contact sessions, which include lectures, seminars, workshops, tutorials and laboratory classes.

Most of your taught modules will have further information for you to study and you will be expected to work through this in your own time according to the guidance provided by the lecturer for that module.

Support

All students are allocated a personal tutor who will monitor your progress throughout your time at university and will support you in your personal development planning. You will see your Personal Tutor at least once each semester.

Our Senior Personal Tutor can also advise and respond to any personal matters as they arise. The School also has a formal student-staff panel to discuss topics or issues of mutual interest.

Students are responsible for obtaining their placement. The School actively assists students on “with Placement” courses in finding a suitable placement.

Feedback:

Feedback on coursework may be provided via written comments on work submitted, by provision of ‘model’ answers and/or through discussion in contact sessions.

Assessment

The taught modules are assessed through examinations and a wide range of in-course assessments, such as written reports, extended essays, practical assignments and oral presentations.

The placement is assessed through a reflective report that demonstrates that the student has developed skills as an IT Professional.

The individual project and dissertation will enable students to demonstrate their ability to build upon and exploit knowledge and skills gained to exhibit critical and original thinking based on a period of independent study and learning.

Career prospects

Graduates from this course will be ideally placed to pursue a number of careers, such as systems architects, programmers and software developers, and could also pursue a research career via doctoral studies.

The selection of modules on offer aim to enhance your transferable skills and boost employment prospects.

Read less
Our MSc in Data Science and Analytics aims to provide you with a comprehensive set of skills needed to handle, collect, store and analyse large and complex sets of data. Read more
Our MSc in Data Science and Analytics aims to provide you with a comprehensive set of skills needed to handle, collect, store and analyse large and complex sets of data. You will be taught by subject experts from both the School of Mathematics and the School of Computer Science and Informatics, which will allow you to see the topic from different perspectives and provides access to a wide range of modules across both Schools.

Throughout the course you will develop data handling and extraction skills, programming skills, machine learning and informatics skills, and problem solving and modelling skills. You will undertake case studies and project work which will give you the opportunity to put your skills into practice and provides valuable experience of working in the field. The dissertation project, typically undertaken with an industrial partner, will allow you to work with complex data in a creative manner and a problem-solving environment, as well as to communicate your ideas and findings effectively.

This programme is available on a one year full-time basis or a three-year part-time basis.

Distinctive features:

• A three-stage degree with exit points at PG Certificate, PG Diploma and Master’s level, allowing you to go into as much depth as you like.

• Acquire transferable data science and analytics skills that are highly sought after in a broad range of sectors.

• Learn from experts across the Schools of Mathematics and Computer Science and Informatics, and related University research groups specialising in various applications of data science and analytics, for example the Data Innovation Research Institute, Social Data Science Lab, and Health Modelling Centre Cymru.

• Gain valuable work experience; we have some placement opportunities available with industrial partners in the UK and abroad.

Structure

There are three stages to this programme. During the first stage, you will study a number of core modules covering fundamental subjects such as statistics, pattern recognition, data mining and optimisation. You may choose to exit after this first stage, at which point you may be able to obtain a PG Certificate qualification.

The second stage consists of a range of optional modules where you can explore subjects of interest to you and relevant your potential career path, for example web and social computing, time series and forecasting, supply chain modelling and visual communication and information design. You may choose to exit after the second stage, at which point you may be able to obtain a PG Diploma qualification.

The third and final stage consists of a three-month dissertation project, which will typically involve working with a company on a real problem of importance. Following successful completion of all modules and the dissertation, you may be able to obtain a Master’s qualification.

As a full-time student, you will complete all modules and your dissertation project in year one.

Part-time students will typically only need to be in the University for lectures and workshops for the equivalent of one day per week over 24 weeks for years 1 and 2. The dissertation project is undertaken during year 3.

Core modules:

Pattern Recognition and Data Mining
Statistical Methods
Optimisation Methods
Dissertation

Optional modules:

Information Processing in Python
Computer Science Topic 1: Web and Social Computing
Web Application Development
Distributed and Cloud Computing
Informatics
Visual Communication and Information Design
Time Series and Forecasting
Supply Chain Modelling
Statistics and Operational Research in Government
Credit Risk Scoring

Teaching

The methods of teaching we employ will vary from module to module, as appropriate depending on the subject matter and the method of assessment. We teach using a mixture of lectures, seminars, computer workshops and tutorials.

Programming skills and the use of relevant software packages will be taught in our dedicated computer suites. We often invite industry experts to give presentations, which our students are welcome to attend.

We will allocate three supervisors to you for your dissertation project. Usually your supervisors will be two members of academic staff with an interest or specialism in your field of research and a sponsor supervisor from the organisation you will work with during your project. You should meet regularly with your supervisor throughout your project.

Support

All of our students are allocated a personal tutor when they enrol on the course. A personal tutor is there to support you during your studies, and can advise you on academic and personal matters that may be affecting you. You should have regular meetings with your personal tutor to ensure that you are fully supported.

You will have access to the Trevithick Library, which holds our collection of mathematical and computer science-related resources, as well as to the other Cardiff University Libraries.

We will provide you with a copy of the Student Handbook, which contains details of each School’s policies and procedures. We also support students through the University’s virtual learning environment, Learning Central, where you can ask questions in a forum or find course-related documents.

Cardiff University also offers a wide range of support services which are open to our students, such as the Graduate Centre, counselling and wellbeing, financial and careers advisors, the international office and the Student Union.

Feedback:

We offer written and oral feedback, depending on the coursework or assessment you have undertaken. You will usually receive your feedback from the module leader. If you have questions regarding your feedback, module leaders are usually happy to give advice and guidance on your progress. We aim to provide you with feedback in a timely manner after you have submitted an assessment.

Assessment

We will assess your progress throughout the course. These assessments may take the form of written exam papers, in-module assignments, and the project dissertation, where knowledge and technical competence will be appraised. We may also use group work, oral presentations and poster displays to test communication, critical thinking and problem solving skills.

Career prospects

Data is increasingly cheap and ubiquitous, and is being collected on a massive scale. There is a significant and growing demand for professionals who can work efficiently and effectively with handling such complex and sizeable data and to extract insights to help inform decision-making. The skills you gain during the programme will equip you for graduate roles in this field. This new MSc programme enhances the already well-established related postgraduate taught programmes that the School of Mathematics offers, and is expected to be as successful in the recruiting of our graduates. Previous postgraduates have gone on to work with a variety of companies and Government organisations including the Office for National Statistics, Lloyds Banking Group, Nationwide, British Airways, Network Rail, UK Government, The Financial Times, Virgin Media, Welsh Water and Admiral Insurance.

If you prefer to continue on a more academic career pathway, you may choose to continue your studies with a PhD.

Placement

You will undertake a three-month placement for your dissertation project, based with one of our industrial partners in the UK or abroad.

We employ a dedicated Knowledge Exchange Officer who will work with you to obtain a placement and support you throughout your project.

Past placements achieved by our students have been with companies such as Admiral, British Airways, Lloyds Banking Group, Welsh Water, Office for National Statistics, Sainsbury’s, Virgin Media, Transport for London, and Deloitte.

Read less
The MSc Information Security and Privacy addresses the key security issues that are faced by global communications and information systems. Read more
The MSc Information Security and Privacy addresses the key security issues that are faced by global communications and information systems.

The programme provides a mix of business context with core security, trust and privacy issues that challenge the IT sector. The course builds on previous skills in computer science, to strengthen understanding of this emerging area.

As well as studying themes such as trust and identity and forensic investigation, security techniques and information, network and cyber security, you will gain an understanding of the e-Commerce and business environment. This combined business/security approach provides valuable training for interacting with organisations, and understanding their business functions in a deeper context.

Using case based analysis, you will have the opportunity to learn about forensic approaches to investigation across multiple platforms.

Distinctive features:

• Practitioner-led modules integrate the latest research ideas with current best practice

• Students will have access to our Cybersecurity and Forensics Laboratory. The 40 PCs are able to host virtual machines and can be used to carry out a number of forensic investigations. They are connected to an isolated, local network which can be configured to better explore the security challenges facing today's professionals.

• Professionally accredited by the BCS, the Chartered Institute for IT.

Structure

Full-time students study four compulsory modules each semester including a 60 credit dissertation in their final year. Part-time students study two compulsory modules each semester.

Core modules:

Information, Network & Cyber Security
Security Techniques
Distributed and Cloud Computing
Digital Forensics
Business and IT Management
Secure Applications, Identity and Trust
Dissertation

Teaching

The School of Computer Science and Informatics has a strong and active research culture which informs and directs our teaching. We are committed to providing teaching of the highest standard and received an excellent report in the most recent Quality Assurance Agency (QAA) review.

This particular course builds on our research strengths in cybersecurity. Many of the case studies used in the course build on our existing research and our work with industry (and other organisations in law enforcement).

Modules are delivered through a series of either full- or half-day contact sessions, which include lectures, seminars, workshops, tutorials and laboratory classes.

Most of your taught modules will have further information for you to study and you will be expected to work through this in your own time according to the guidance provided by the lecturer for that module.

Support

At the start of your course you will be allocated a Personal Tutor who is an academic member of staff in the School and serves as a point of contact to advise on both academic and personal matters in an informal and confidential manner.

Your Personal Tutor will monitor your academic progress and supply references in support of any job applications that you make.

Your Personal Tutor will monitor your progress throughout your time at university and will support you in your Personal Development Planning. You will see your Personal Tutor at least once each semester.

Outside of scheduled tutor sessions, our Senior Personal Tutor runs an open door policy, being on hand to advise and respond to any personal matters as they arise.

Feedback:

Feedback on coursework may be provided via written comments on work submitted, by provision of ‘model’ answers and/or through discussion in contact sessions.

Assessment

Modules will be assessed either by coursework, examination, or a combination of both.

Career prospects

Graduates are well-prepared for a career in industrial, commercial, or governmental organisations with particular responsibility for information and process security.

Career destinations include: information security manager, risk manager, technical security roles in computer forensics, identity management roles, secure systems developer, and industrial and university research.

Read less
This MSc Computing offers students from diverse career and subject areas a balance of software engineering skills and technical abilities required for a career in Software Development. Read more
This MSc Computing offers students from diverse career and subject areas a balance of software engineering skills and technical abilities required for a career in Software Development.

Through this one-year programme you will get a first-hand understanding of the vital problem-solving role of software, the interdisciplinary opportunities available, and what computational systems can achieve.

Through a gentle introduction and intensive support, you will be introduced to programming skills using important languages such as Java and Python. Emphasis is placed on handling data and you will develop essential skills in SQL (Structured Query Language) for advanced database functionality using industry standard products such as Oracle™.

A choice of taught optional modules allows you to further develop skills in areas of your choice.

Graduates from these programmes will be ideally placed for employment in the computing industry or for careers requiring a combination of their graduate discipline with computing expertise.

Distinctive features:

• An opportunity to take a conversion course which is also an accredited course recognised by BCS, the Chartered Institute for IT.

• The opportunity to complement the discipline in which you graduated with the discipline of Computing.

• The facility to tailor the course to your interests by the selection of advanced option modules.

• Flexible choice of project topic, for example: associated with the research activity of the School fulfilling a business need reflecting your own interest.

Structure

You will study core modules to a total of 80 credits, with two optional modules worth a total of 40 credits. Students will also undertake an individual project and dissertation (worth 60 credits).

This course is a full-time programme undertaken over one calendar year. It is also available as a part-time programme over three years, and with placement.

Core modules:

Information Processing in Python
Web Application Development
Object-Oriented Development with Java
Software Engineering
Dissertation

Optional modules:

Computational Systems
Computer Science Topic 1: Web and Social Computing
Distributed and Cloud Computing
Human Centric Computing
Information Modelling & Database Systems
Visual Communication and Information Design
E-Commerce and Innovation

Teaching

The School of Computer Science and Informatics has a strong and active research culture which informs and directs our teaching. We are committed to providing teaching of the highest standard and received an excellent report in the most recent Quality Assurance Agency (QAA) review.

A diverse range of teaching and learning styles are used throughout the MSc in Computing and the MSc in Computing with Placement. Students will attend lectures, participate in seminars, workshops and tutorials, and carry out practical and laboratory work.

Students obtain support materials either via Learning Central (Cardiff University’s Virtual Learning Environment) or from study packs specially developed for selected modules.

Students will also undertake a project and independent study to enable them to complete their dissertation. Dissertation topics may be suggested by the student or chosen from a list of options proposed by academic staff reflecting their current interest.

Support

As a School, we pride ourselves on providing a supportive environment in which we are able to help and encourage our students.

All students are allocated a personal tutor who will monitor your progress throughout your time at university and will support you in your Personal Development Planning. You will see your Personal Tutor at least once each semester.

Outside of scheduled tutor sessions, our Senior Personal Tutor runs an open door policy, being on hand to advise and respond to any personal matters as they arise.

The School has a formal student-staff panel to discuss topics or issues of mutual interest, in addition we schedule fortnightly informal gatherings over coffee for all students and staff associated with MSc Programmes.

Feedback:

Feedback on coursework may be provided via written comments on work submitted, by provision of ‘model’ answers and/or through discussion in contact sessions.

Assessment

The taught modules within the programmes are assessed through examinations and a wide range of in-course assessments, such as written reports, extended essays, practical assignments and oral presentations.

The individual project and dissertation will enable students to demonstrate their ability to build upon and exploit knowledge and skills gained to exhibit critical and original thinking based on a period of independent study and learning.

Career prospects

Recent graduates have gained employment in roles such as software developers, systems analysts, business analysts, IT consultants, and support engineers.

MSc Computing graduates are employed by organisations of all sizes locally, nationally, and internationally. For example, recent graduates have taken up positions with local NHS Trusts, Logica, Sun Microsystems, BT, and the National Library of Medicine in the USA, as well as undertaking further doctoral study.

Read less
Designed for graduates who want to move into computing from another discipline, the MSc Computing and IT Management provides you with a broad technical knowledge and a sound business context for managing IT systems. Read more
Designed for graduates who want to move into computing from another discipline, the MSc Computing and IT Management provides you with a broad technical knowledge and a sound business context for managing IT systems.

Through this course you will learn the skills needed to develop business applications through a fundamental understanding of software and web development, e-commerce and database management. You will also gain an understanding of the professional skills required to lead IT managers by working as a part of a team on a business change project.

You will have the option of learning about new and emerging technologies, such as cloud computing, that are radically changing the opportunities and threats for the provision of IT systems. You may also opt for human-centric computing which focuses on defining and delivering effective information systems from a human-centric perspective. You also have the option of learning the knowledge and skills required to create interactive visualisations and explanations of data.

On successful completion of the taught phase you will move to the dissertation phase. This provides the opportunity of developing your research skills and applying technical and management concepts and techniques to solve a complex computing problem.

This one-year full-time or three-year part-time course offers a balanced combination of theory and practice, and can serve either as preparation for a career as an IT professional, doctoral research, or as a self-contained advanced qualification in its own right.

Distinctive features

• The opportunity to undertake a conversion course in Computing and IT.

• Provides an intensive course specifically designed for those who wish to move into computing and IT management from another discipline.

• Professionally accredited by the BCS, the Chartered Institute for IT.

• The opportunity to learn the technical knowledge and skills needed to develop business applications.

• Working in a team on a business change project to develop IT management skills.

• The facility to tailor the course to your interests by the selection of an advanced option module.

Structure

You will study core modules to a total of 160 credits including dissertation, with an optional module worth 20 credits. Students will also undertake an individual project.

This is a full-time course undertaken over one calendar year. It is also available as a part-time course over three years, and with placement.

Core modules:

Information Processing in Python
Web Application Development
Information Modelling & Database Systems
Business and IT Management
E-Commerce and Innovation
Dissertation

Optional modules:

Distributed and Cloud Computing
Human Centric Computing
Visual Communication and Information Design
Computer Science Topic 1: Web and Social Computing (Part-time only)

Teaching

The School of Computer Science and Informatics has a strong and active research culture which informs and directs our teaching. We are committed to providing teaching of the highest standard and received an excellent report in the most recent Quality Assurance Agency (QAA) review.

A diverse range of teaching and learning styles are used throughout the MSc in Computing and IT Management. Students will attend lectures, participate in seminars, workshops and tutorials, and carry out practical and laboratory work.

Students obtain support materials usually via Learning Central (Cardiff University’s Virtual Learning Environment).

Students will also undertake a project and independent study to enable them to complete their dissertation. Dissertation topics may be suggested by the student or chosen from a list of options proposed by academic staff reflecting their current interest.

Support

As a School, we pride ourselves on providing a supportive environment in which we are able to help and encourage our students.

All students are allocated a personal tutor who will monitor your progress throughout your time at university and will support you in your personal development planning. You will see your Personal Tutor at least once each semester.

Our Senior Personal Tutor can also advise and respond to any personal matters as they arise. The School also has a formal student-staff panel to discuss topics or issues of mutual interest.

Feedback:

Feedback on coursework may be provided via written comments on work submitted, by provision of ‘model’ answers and/or through discussion in contact sessions.

Assessment

The taught modules within the courses are assessed through examinations and a wide range of in-course assessments, such as written reports, extended essays, practical assignments and oral presentations.

The individual project and dissertation will enable students to demonstrate their ability to build upon and exploit knowledge and skills gained to exhibit critical and original thinking based on a period of independent study and learning.

Career prospects

Recent graduates from the MSc Computing and IT Management course have gained employment in roles such as systems and business analysts, quality assurance testers, IT consultants and project managers.

Graduates are employed by organisations of all sizes locally, nationally, and internationally.

Read less
This MSc Computing offers students from diverse career and subject areas a balance of software engineering skills and technical abilities required for a career in Software Development. Read more
This MSc Computing offers students from diverse career and subject areas a balance of software engineering skills and technical abilities required for a career in Software Development.

Through this two-year programme you will get a first-hand understanding of the vital problem-solving role of software, the interdisciplinary opportunities available, and what computational systems can achieve.

Through a gentle introduction and intensive support, you will be introduced to programming skills using important languages such as Java and Python. Emphasis is placed on handling data and you will develop essential skills in SQL (Structured Query Language) for advanced database functionality using industry standard products such as Oracle™.

A choice of taught optional modules allows you to further develop skills in areas of your choice.

Students may choose to apply for a paid 7-12 month professional work placement to be undertaken on completion of Spring semester and before completing the MSc course with a 60-credit dissertation. This provides valuable work experience to develop your IT Professional skills.

Graduates from these programmes will be ideally placed for employment in the computing industry or for careers requiring a combination of their graduate discipline with computing expertise.

Distinctive features

• A conversion course as well as an accredited course recognised by BCS, the Chartered Institute for IT.

• The opportunity to complement the discipline in which you graduated with the discipline of Computing.

• The facility to tailor the course to your interests by the selection of advanced option modules.

• Flexible choice of project topic, for example: associated with the research activity of the School; fulfilling a business need; reflecting your own interest.

• 7-12 month experience as an IT Professional for students who successfully find a suitable placement.

Structure

You will undertake a placement following the taught stage of the course and prior to undertaking your individual project and dissertation. Most students start their placement in the summer of Year 1. The breakdown is as follows:

Year 1: 80 credits core modules, 40 credit optional modules.

Year 2: 120 credits placement, dissertation.
This is a full-time course undertaken over two calendar years. It is also available as a full-time course over one year or a part-time course over three years, both without placement.

Year ONE core modules:

Information Processing in Python
Web Application Development
Object-Oriented Development with Java
Software Engineering

Year ONE optional modules:

Computational Systems
Computer Science Topic 1: Web and Social Computing
Distributed and Cloud Computing
Human Centric Computing
Information Modelling & Database Systems
Visual Communication and Information Design
E-Commerce and Innovation

Year TWO core modules:

Placement
Dissertation

Teaching

The School of Computer Science and Informatics has a strong and active research culture which informs and directs our teaching. We are committed to providing teaching of the highest standard and received an excellent report in the most recent Quality Assurance Agency (QAA) review.

A diverse range of teaching and learning styles are used throughout the MSc in Computing and the MSc in Computing with Placement. Students will attend lectures, participate in seminars, workshops and tutorials, and carry out practical and laboratory work.

Students obtain support materials either via Learning Central (Cardiff University’s Virtual Learning Environment) or from study packs specially developed for selected modules.

You will also undertake a project and independent study to enable you to complete a dissertation. Dissertation topics may be suggested by you or chosen from a list of options proposed by academic staff reflecting their current interest.

Support

As a School, we pride ourselves on providing a supportive environment in which we are able to help and encourage our students.

All students are allocated a personal tutor who will monitor your progress throughout your time at university and will support you in your Personal Development Planning. You will see your Personal Tutor at least once each semester.

Outside of scheduled tutor sessions, our Senior Personal Tutor runs an open door policy, being on hand to advise and respond to any personal matters as they arise.

The School has a formal student-staff panel to discuss topics or issues of mutual interest, in addition we schedule fortnightly informal gatherings over coffee for all students and staff associated with MSc Programmes.

Students are responsible for obtaining their placement. The School actively assists students on “with Placement” courses in finding a suitable placement.

Feedback:

Feedback on coursework may be provided via written comments on work submitted, by provision of ‘model’ answers and/or through discussion in contact sessions.

Assessment

The taught modules within the programmes are assessed through examinations and a wide range of in-course assessments, such as written reports, extended essays, practical assignments and oral presentations.

The placement is assessed through a reflective report that demonstrates that the student has developed skills as an IT Professional.

The individual project and dissertation will enable you to demonstrate your ability to build upon and exploit knowledge and skills gained to exhibit critical and original thinking based on a period of independent study and learning.

Career prospects

Recent graduates have gained employment in roles such as software developers, systems analysts, business analysts, IT consultants, and support engineers.

MSc Computing graduates are employed by organisations of all sizes locally, nationally, and internationally. For example, recent graduates have taken up positions with local NHS Trusts, Logica, Sun Microsystems, BT, and the National Library of Medicine in the USA, as well as undertaking further doctoral study.

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Designed for graduates who want to move into computing from another discipline, MSc Computing and IT Management provides you with a broad technical knowledge and a sound business context for managing IT systems. Read more
Designed for graduates who want to move into computing from another discipline, MSc Computing and IT Management provides you with a broad technical knowledge and a sound business context for managing IT systems.

Through this course you will learn the skills needed to develop business applications through a fundamental understanding of software and web development, e-commerce and database management. You will also gain an understanding of the professional skills required to lead IT managers by working as a part of a team on a business change project.

You will have the option of learning about new and emerging technologies, such as cloud computing, that are radically changing the opportunities and threats for the provision of IT systems. You may also opt for human-centric computing which focuses on defining and delivering effective information systems from a human-centric perspective. You also have the option of learning the knowledge and skills required to create interactive visualisations and explanations of data.

Students may choose to apply for a paid 7-12 month professional work placement to be undertaken on completion of Spring semester and before completing the MSc course with a 60-credit dissertation. This provides valuable work experience to develop your IT Professional skills.

The dissertation provides the opportunity of developing your research skills and applying technical and management concepts and techniques to solve a complex computing problem.

This two-year course offers a balanced combination of theory and practice, and can serve either as preparation for a career as an IT professional, doctoral research, or as a self-contained advanced qualification in its own right.

Distinctive features

• The opportunity to undertake a conversion course in Computing and IT.

• It provides an intensive course specifically designed for those who wish to move into computing and IT management from another discipline.

• Professionally accredited by the BCS, the Chartered Institute for IT.

• The opportunity to learn the technical knowledge and skills needed to develop business applications.

• Working in a team on a business change project to develop IT management skills.

• The facility to tailor the course to your interests by the selection of an advanced option module.

• 7-12 month experience as an IT Professional for students who successfully find a suitable placement.

Structure

Students will undertake a placement following the taught stage of the course and prior to undertaking their individual project and dissertation. Most students start their placement in the summer of Year 1. The breakdown is as follows:

Year 1: 100 credits core modules, 20 credit optional modules.
Year 2: 120 credits placement, 60 credits core module.

Year ONE core modules:

Information Processing in Python
Web Application Development
Information Modelling & Database Systems
Business and IT Management
E-Commerce and Innovation

Year ONE optional modules:

Distributed and Cloud Computing
Human Centric Computing
Visual Communication and Information Design

Year TWO core modules:

Placement
Dissertation

Teaching

The School of Computer Science and Informatics has a strong and active research culture which informs and directs our teaching. We are committed to providing teaching of the highest standard and received an excellent report in the most recent Quality Assurance Agency (QAA) review.

A diverse range of teaching and learning styles are used throughout the MSc in Computing and IT Management. Students will attend lectures, participate in seminars, workshops and tutorials, and carry out practical and laboratory work.

Students obtain support materials usually via Learning Central (Cardiff University’s Virtual Learning Environment).

You will also undertake a project and independent study to enable you to complete a dissertation. Dissertation topics may be suggested by you or chosen from a list of options proposed by academic staff reflecting their current interest.

Support

As a School, we pride ourselves on providing a supportive environment in which we are able to help and encourage our students.

All students are allocated a personal tutor who will monitor your progress throughout your time at university and will support you in your personal development planning. You will see your Personal Tutor at least once each semester.

Our Senior Personal Tutor can also advise and respond to any personal matters as they arise. The School also has a formal student-staff panel to discuss topics or issues of mutual interest.

Students are responsible for obtaining their placement. The School actively assists students on “with Placement” courses in finding a suitable placement.

Feedback:

Feedback on coursework may be provided via written comments on work submitted, by provision of ‘model’ answers and/or through discussion in contact sessions.

Assessment

The taught modules are assessed through examinations and a wide range of in-course assessments, such as written reports, extended essays, practical assignments and oral presentations.

The placement is assessed through a reflective report that demonstrates that the student has developed skills as an IT Professional.

The individual project and dissertation will enable you to demonstrate your ability to build upon and exploit knowledge and skills gained to exhibit critical and original thinking based on a period of independent study and learning.

Career prospects

Recent graduates from the MSc Computing and IT Management course have gained employment in roles such as systems and business analysts, quality assurance testers, IT consultants and project managers.

Graduates are employed by organisations of all sizes locally, nationally, and internationally.

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