School of Engineering, Computing and Mathematical Sciences

MSc Data Science

MSc Part-time 28 months, Full-time 14 months

The MSc Data Science is a conversion MSc, designed for students from a broad range of disciplines who wish to enhance their existing knowledge and skills in order to open up career opportunities in Data Science.

The MSc Data Science is a conversion MSc, designed for students from a broad range of disciplines who wish to enhance their existing knowledge and skills in order to open up career opportunities in Data Science.

Award
MSc
Start date(s)
16 September 2024,12 March 2024,1 April 2024,13 March 2023,20 January 2025,21 January 2025,20 November 2023
UCAS Code
Course specifications
Course length
Part-time (28 months),Full-time (14 months)
Campus location
University: City Campus
UCAS points calculator

Why choose this course?

The MSc Data Science is a conversion MSc, designed for students from a broad range of disciplines who wish to enhance their existing knowledge and skills in order to open up career opportunities in  Data Science.

Data Science is playing an increasingly important role in all aspects of the modern world. From infrastructure and education to healthcare and climate change the importance of data science cannot be overemphasised. There is now a persistent demand for graduates from a variety of backgrounds who have the expertise and training needed to responsibly use data to combat some of the world’s greatest challenges. This course has been designed and developed by a team of experts to produce agile, flexible and dynamic graduates with the right blend of training, education and management skills to meet the demands of industry in a variety of areas.

Office for Students Scholarships (Home Students Only)

A limited number of scholarships of £10,000 are available to students enrolled on this course. The scholarships aim 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. This means that overseas students who require a visa to study are not eligible for the scholarship. If you are a Home student then you can apply for the scholarship here

Apply for the scholarship

Scholarship applications are reviewed regularly in advance of each course start date and the outcome will be communicated by email.

This MSc Data Science is a conversion MSc programme aimed at converting graduates from a broad range of disciplines into Data Science specialists. The distinctive nature of this course means that it appeals to students from a broad spectrum of academic backgrounds who may benefit from some additional assistance with areas outside of their previous area of study such as mathematics or programming. Prior to joining the course students are given an induction programme in mathematics and programming to equip them with the core skills needed to succeed. This induction programme will be available to students all year round and additional support with mathematics and programming will be provided as needed by the expert support team at the University.

As part of the course students will have the opportunity to apply to do a paid internship with one of our industry partners, a list which includes The Royal Wolverhampton NHS Trust and Transport for West Midlands. Industry partners will also support the programme by providing students with case studies based on real events and will provide their cloud training environment to allow modelling of real-world scenarios.

An important aim for this programme is to increase the number of people from groups currently underrepresented in the AI and Data Science fields, and to encourage graduates from diverse backgrounds to consider a future in these occupations. In support of this aim a number of scholarships of £10,000 are available to students enrolled on this course. This programme will prioritise scholarships for female, black and disabled students. 

What's unique about this course?

  • Industry Software: Receive training & instruction in the use of industry standard software and tools such as R/RStudio, SAS, Python, SQL. As well as using these tools you’ll learn how to develop your own Apps and tools to develop dashboards using Quarto and Shiny 
  • Alumni Insights: Regular presentations from industry experts including graduates from the program. Previous speakers have included experts from the Department of Levelling-up, Housing & Communities, IBM, and the I-UG User Group. 
  • Flexible Study: Flexible delivery using a carousel delivery model with six-week modules which run over two days each week. This means that you can structure your studies around your other commitments.

What happens on the course?

The M.Sc. Data Science is broken up into six blocks. Each of four taught blocks includes two 15 credit modules. The two additional blocks comprise the MSc Data Science Dissertation and the potential Industry Internship. The modules available vary from year to year and are reviewed regularly based on the pace of this fast moving sector. Regular modules include:

  • Data Science
  • Concepts & Technologies of Artificial Intelligence
  • Data Visualization
  • Database Systems & Security
  • Data Mining & Informatics
  • Statistics with AI and Data Science
  • Research Methods
  • Project Management

In addition to these modules students will be enrolled on a free pre-course induction programme in fundamental mathematics and programming. This induction programme will be available to students all year round and additional support with mathematics and programming will be provided as needed by the expert support team at the University.

Course Modules

Potential Career Paths

Additional Information

Everything you need to know about this course!

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.

Why Wolverhampton?  Here are 9 reasons why you should choose the University of Wolverhampton

 

The educational aims of this course are

  • To enhance critical understanding and skills with regards to 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.

Location Mode Fee Year
Home Full-time £7995 per year 2022-23
Home Full-time £7995 per year 2022-23
Home Full-time £8395 per year 2023-24
Home Full-time £8395 per year 2023-24
Home Full-time £8815 per year 2024-25
Home Part-time £3998 per year 2022-23
Home Part-time £3998 per year 2022-23
Home Part-time £4198 per year 2023-24
Home Part-time £4198 per year 2023-24
Home Part-time £4408 per year 2024-25
International Full-time £14450 per year 2022-23
International Full-time £14450 per year 2022-23
International Full-time £15450 per year 2023-24
International Full-time £15450 per year 2023-24
International Full-time £15950 per year 2024-25

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.

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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