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Data Analytics for Government (MSc)

Develop your theoretical understanding, practical experience of data science and analytics with a specific focus on the application of data analytics within government and public service.

Taught by experts in Statistics, Operational Research and Computer Science, this programme will help students develop both the theoretical understanding and practical experience of applying methods drawn from data science and analytics with a specific focus on their application within Government and public service.  This will equip students with a range of in-demand skills for extracting and handling ‘big data’, discovering and communicating meaningful patterns from the data, and applying modelling tools to help businesses and government organisations make better decisions.

This programme has been designed so that it can meet the continuing education and training needs of those who work with data in Government.

A wide portfolio of modules is offered in order to recognise the wide range of interests and applications of data analytics within Government and public sector organisations. Specific guidance is offered to students with a desire to focus in particular subject themes or areas.

Distinctive features

  • Acquire transferable data science and analytics skills that are highly sought after in a broad range of sectors
  • Taught within the Data Science Academy at Cardiff University, a cross-disciplinary industry-informed facility delivering postgraduate teaching in data science, artificial intelligence and cybersecurity.
  • Learn from experts across the School of Computer Science and Informatics and the School of Mathematics, and related University research groups specialising in various applications of data science and analytics such as the Data Innovation Research Institute, Social Data Science lab, and Health Modelling Centre Cymru

Key facts

Next intakeSeptember 2020
Duration1 year
QualificationMSc
ModeFull-time
Academic Tutor contact(s)
Contact

Admissions criteria

A 1st or upper 2nd class UK honours degree or equivalent is required in a numerate subject, such as mathematics, operational research, statistics, computer science, management science, economics, engineering or a suitable science degree, or equivalent professional experience.

English language requirement: IELTS 6.5 overall with 5.5 in all subskills or equivalent.

Find out more about English language requirements.

Applicants who require a Tier 4 visa to study in the UK must present an acceptable English language qualification in order to meet UKVI (UK Visas and Immigration) requirements

You will study 120 credits of taught modules plus a research project module (60 credits) within the School of Mathematics and the School of Computer Science and Informatics.

Four core modules totalling 40 credits, covering fundamental subjects such as statistics, computational and data science and optimisation are combined with an additional 80 credits of optional modules in the taught stage. You then continue to complete the 60-credit dissertation research project over the Summer to achieve the full MSc in Data Analytics for Government.

Students looking for flexibility can begin by studying the core modules as standalone CPD units. You can then later move into the full MSc programme and have those modules credited as prior learning, enabling you to then complete the rest of the MSc programme.

 

The modules shown are an example of the typical curriculum and will be reviewed prior to the 2020/21 academic year. The final modules will be published by September 2020.

As a full-time student you will complete all modules and your dissertation project in one academic year, from September to September

The University is committed to providing a wide range of module options where possible, but please be aware that whilst every effort is made to offer choice this may be limited in certain circumstances. This is due to the fact that some modules have limited numbers of places available, which are allocated on a first-come, first-served basis, while others have minimum student numbers required before they will run, to ensure that an appropriate quality of education can be delivered; some modules require students to have already taken particular subjects, and others are core or required on the programme you are taking. Modules may also be limited due to timetable clashes, and although the University works to minimise disruption to choice, we advise you to seek advice from the relevant School on the module choices available.

How will I be taught?

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, practical workshops and tutorials. Taught content is delivered through a mixture of face-to-face lecturing and online delivery via video, with contact time used to further explore and reinforce this learning.

Programming skills and the use of relevant software packages will be taught. We often invite industry experts to give presentations, which you would be encouraged to attend.

How will I be supported?

All of our students are allocated a personal tutor within both the School of Mathematics and the School of Computer Science and Informatics 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

 

How will I be assessed?

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.

 

What skills will I practise and develop?

Knowledge & Understanding:

On successful completion of the Programme you will be able to demonstrate:

  • A systematic understanding of knowledge, and a critical awareness of current problems and/or new insights, much of which is at, or informed by, the forefront of our academic discipline.

Intellectual Skills:

On successful completion of the Programme you will be able to demonstrate:

  • The ability to identify appropriate methods for the solution of problems in Data Analytics for Government.
  • Initiative and personal responsibility in decision-making in complex and unpredictable situations.
  • Systematic and creative methods for dealing with complex issues; sound judgement making in the absence of complete data.

Professional Practical Skills:

On successful completion of the Programme you will be able to demonstrate:

  • Advanced scholarship and practical experience in programming skills, data handling and extraction skills, machine learning and informatics skills, and problem solving and modelling skills.
  •  An ability to evaluate methodologies and develop critiques of them and, where appropriate, to propose new hypotheses.

Transferable/Key Skills:

On successful completion of the Programme you will be able to demonstrate:

  • The ability to communicate ideas, principles and theories effectively by oral, written and practical means to both specialist and non-specialist audiences.
  • Effective working in a team and as an individual.
  • The ability to apply logical and analytic thinking to problems.

Tuition fees

UK and EU students (2020/21)

Tuition feeDepositNotes
£9,700None

More information about tuition fees and deposits, including for part-time and continuing students.

EU students entering in 2020/21 will pay the same tuition fee as UK students for the duration of their course. Please be aware that fees may increase annually in line with inflation. No decisions regarding fees and loans for EU students starting in 2020/21 have been made yet. These will be determined as part of the UK's discussions on its membership of the EU and we will provide further details as soon as we can.

Students from outside the EU (2020/21)

Tuition feeDepositNotes
£22,950£1,000

More information about tuition fees and deposits, including for part-time and continuing students.

Additional costs

The University considers that the following costs do not need to be covered by Schools as they are either not essential or are basic costs that a student should be expected to cover themselves:

  • Calculators
  • General stationery
  • Text books (assumed to be available in the library)
  • Non-essential copying / printing.

If there are optional costs/fees to be covered by the student, these are not a requirement to pass the degree. The exception to this is the cost of printing and binding of the final dissertation for submission, which must be paid for by the student.

Will I need any specific equipment to study this course/programme?

We will provide equipment that is essential to the course. However, we recommend that you bring a laptop computer with appropriate software (e.g. word processing), USB or a hard drive, general stationery and some basic drawing equipment.

 

The skills you gain during the programme will equip you for a number of graduate roles in this field.