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Data Science and Analytics (MSc)

  • Duration: 3 years
  • Mode: Part time

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Find out more about studying here as a postgraduate at our next Open Day.

Why study this course

An MSc degree for those looking to equip themselves with a range of in-demand skills for extracting and handling ‘big data’, discovering meaningful patterns from data and applying modelling tools to help businesses and government organisations make better decisions.

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.  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.

Distinctive features

  • Acquire transferable data science and analytics skills that are highly sought after in a broad range of sectors.
  • Learn from experts across the School of Mathematics and the School of Computer Science and Informatics, 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.
  • Gain valuable work experience; we have some placement opportunities available with industrial partners in the UK and abroad.

Where you'll study

School of Computer Science and Informatics

Our degree programmes are shaped by multidisciplinary research, making them relevant to today's employers and well placed to take advantage of tomorrow's developments.

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  • Telephone+44 (0)29 2087 4812
  • Marker5 The Parade, Newport Road, Cardiff, CF24 3AA

School of Mathematics

Our intellectually exciting degrees are accredited to meet the educational requirements of the Chartered Mathematician designation.

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  • Telephone+44 (0)29 2087 4811
  • MarkerSenghennydd Road, Cardiff, CF24 4AG

Admissions criteria

 

Academic requirements: 

Typically, you will need to have either: 

  • a 2:2 honours degree in a relevant subject area such as engineering, mathematics or science, or an equivalent international degree
  • a university-recognised equivalent academic qualification

English Language requirements:

IELTS with an overall score of 6.5 with 5.5 in all subskills, or an accepted equivalent. 

Application deadline:

We allocate places on a first-come, first-served basis, so we recommend you apply as early as possible. 

Selection process: 

We will review your application and if you meet the entry requirements, we will make you an offer. 

Find out more about English language requirements.

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

Criminal convictions

You are not required to complete a DBS (Disclosure Barring Service) check or provide a Certificate of Good Conduct to study this course.

If you are currently subject to any licence condition or monitoring restriction that could affect your ability to successfully complete your studies, you will be required to disclose your criminal record. Conditions include, but are not limited to:

  • access to computers or devices that can store images
  • use of internet and communication tools/devices
  • curfews
  • freedom of movement
  • contact with people related to Cardiff University.

Course structure

This is a two-stage programme taught over three years for a total of 180 credits. The taught stage is 120 credits, followed by a 60 credit research project.

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

The modules shown are an example of the typical curriculum and will be reviewed prior to the 2021/22 academic year. The final modules will be published by September 2021.

Year one

As a part-time student, you will complete three core modules in Year One to a total of 60 credits.

Year two

As a part-time student, you will complete any the two outstanding core modules totalling 40 credits, and your selection of optional modules totalling 20 credits in Year Two.

Year three

As a part-time student, you will complete your dissertation project in Year Three. The 60 credit project undertaken in the third year will typically involve working with a company on a real problem of importance.For part-time students this is quite often (though not always) their current employer.

Module titleModule codeCredits
DissertationMAT09960 credits

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.

Learning and assessment

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, 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.

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.

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 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.

 

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 Science and Analytics.
  • 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.
  • Effectivel working in a team and as an individual.
  • The ability to apply logical and analytic thinking to problems.

 

Tuition fees for 2021 entry

Due to the duration of this programme only Welsh and EU domiciled students who meet residency requirements (English domiciled students are excluded) are eligible for a postgraduate loan. See more information about eligibility for UK Government Postgraduate loans.

Students from the UK

Year Tuition fee Deposit
Year one £4,850 None

Students from the EU, EEA and Switzerland

EU, EEA and Swiss nationals starting in 2020/21 will pay the same tuition fee as UK students for the duration of their course.

If you are an EU/EEA/Swiss national, unless you qualify for UK fee status, tuition fees for 2021/22 will be in line with the fees charged for international students. UKCISA have provided information about Brexit and tuition fees.

Students from the rest of the world (international)

Year Tuition fee Deposit
Year one £11,475 £1,000

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

Financial support

Financial support may be available to individuals who meet certain criteria. For more information visit our funding section. Please note that these sources of financial support are limited and therefore not everyone who meets the criteria are guaranteed to receive the support.

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, and some basic drawing equipment.

You will be given access to all relevant IT-related software and equipment on our networked computers. As well as computer labs for master’s students, we have an MSc Reading Room, in which resources are made available and where master’s level students can meet, socialise and work together.

Living costs

We’re based in one of the UK’s most affordable cities. Find out more about living costs in Cardiff.

Careers and placements

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

Placements

Funding

Master's Excellence Scholarships

An award open to students with a home fee status intending to study one of our taught master’s degrees.

UK Government master’s funding

If you are starting your master’s degree in September 2021 or later, you may be able to apply for UK Government postgraduate funding to support your study at Cardiff University.

Next steps

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HESA data: Copyright Higher Education Statistics Agency Limited 2020. The Higher Education Statistics Agency Limited cannot accept responsibility for any inferences or conclusions derived by third parties from its data. Data is from the latest Graduate Outcomes Survey 2017/18, published by HESA in June 2020.