MSc Data Science

This MSc Data Science (conversion) has been developed with a specific focus on employability. The potential industry internship provides students with the opportunity to fine tune their skills directly in the workplace and to gain valuable work experience.

The primary goal of the new conversion courses is to respond to the shortage of data science and AI specialists in the UK. The Government's Digital Strategy predicted that within 20 years, 90 per cent of all jobs will require some element of digital skills.

The combination of graduates original first degree with the skills obtained on this course will open up a broad range of career pathways.

The educational aims of this course are

• To enhance critical understanding and skills regarding processes, techniques and methodologies around data science in a blended learning environment with hand-on application using cutting edge software.
• To equip students from a broad variety of backgrounds with the key skills needed to mine datasets and to extract meaning and insights from complex real world situations.

To equip students with the communication, management and organisational skills needed to lead data science projects and to communicate findings to the wider organisation including to non-technical audiences.

These fees relate to new entrants only for the academic year indicated for entry onto the course, any subsequent years study may be subject to an annual increase, usually in line with inflation.

A lower second class honours degree in any discipline

GCSE Grade 4 in Mathematics or equivalent.

Alternatively

Evidence of industrial experience in a relevant area will be considered. An interview process will also be utilised to verify suitability for the course for candidates with non-standard academic backgrounds but with demonstrable industry experience.

International Applicants

Your qualifications need to be deemed equivalent to the above entry requirements.

• English Language requirements are normally IELTS 6.5 with a minimum of 6.0 in each area (unless otherwise stated) or equivalent accepted qualification English Language Requirements
• For further information relating to overseas qualification please use the following link https://www.wlv.ac.uk/international/our-locations/your-country/

Office for Students Funded Scholarships for AI and Data Science (Home Fee Status)

A limited number of OfS funded scholarships of £10,000 are available to students enrolled on this course. Funding for scholarships aims to address skills gaps and increase diversity in the UK AI and data science workforce. Therefore, to be eligible for scholarship funding students must meet the nationality or residency status criteria to qualify for the postgraduate masters loan. You should carefully study the criteria at the page below before submitting an application. Ineligible applications will be rejected.

Master's Loan Eligibility

In particular this means that International students who require a visa to come and study in the UK are not eligible for this funding

Home students who do meet the eligibility criteria can apply for the scholarship at You should only do so after you have submitted and application to this course.

Please direct any queries to MScConversion@wlv.ac.uk

Postgraduate Loan (Home Fee Status):

You may be able to get a postgraduate student loan from Student Finance England of up to £12,167 to help pay for a Master’s degree. Applications are made through Student Finance England and more information on the regulations and eligibility criteria can be found at Masters Loans GOV.UK

* Any RPL will invalidate your eligibility as you must study a minimum of 180 credits

Changes for EU students:

The UK government has confirmed that EU students starting courses from 1 August 2021 will normally be classified as having Overseas Fee status. More information about the change is available at UKCISA:

EU citizens living in the UK with 'settled' status, and Irish nationals living in the UK or Ireland, will still be classified as Home students, providing they meet the usual residency requirements, for more information about EU Settlement Scheme (EUSS) click here.

Postgraduate Loyalty Discount:

You can get 20% discount on a taught on-site postgraduate course if you’re a University of Wolverhampton Graduate.

The University offers a generous 20% Loyalty Discount to students progressing from an undergraduate programme to a taught postgraduate programme, where both courses are University of Wolverhampton Awards.

There is no time limit on how long ago you completed your degree as long as this is your first Masters level qualification.

The discount applies to the first year of enrolment only. Students who receive a loyalty discount are not entitled to any further tuition discount or bursary. For full terms and conditions click here.

Self-funded:

If you are paying for the fees yourself then the fees can be paid in 3 instalments: November, January and April. More information can be found by clicking here.

Sponsored - Your employer, embassy or organisation can pay for your Tuition fees:

Your employer, embassy or organisation agrees to pay all or part of your tuition fees; the University will refer to them as your sponsor and will invoice them for the appropriate amount.

We must receive notification of sponsorship in writing as soon as possible, and before enrolment, confirming that the sponsor will pay your tuition fees.

Financial Hardship:

Students can apply to the Dennis Turner Opportunity Fund for help with course related costs however this cannot be used for fees or to cover general living costs.

Charitable Funding:

You might also want to explore the possibility of funding from charitable trusts; please see the following websites Association of Charitable Foundations, Directory of Social Change or Family Action. Most charities and trust funds offer limited bursaries targeted to specific groups of students so you will need to research whether any of them are relevant to your situation.

You can find more information on the University’s Funding, cost, fee and support pages.

Telephone

01902 32 22 22

Email

enquiries@wlv.ac.uk

Online

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