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School of Mathematics and Computer Science

Data Science

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

  • Institute Code W75
  • UCAS Code
  • Entry Requirements View
  • Fees View
  • Start Date(s) 1 February 2021, 26 October 2020, 12 October 2020
  • Award MSc
  • Study Mode Full-time, Part-time
  • Course Length Full-time (14 months), Part-time (28 months)
  • Campus Location University of Wolverhampton
  • School School of Mathematics and Computer Science

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.

This M.Sc. Data Science is a conversion M.Sc. 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. All students who have a firm offer of a place six weeks before the course start date will be invited to fill out a scholarship application. 

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 expected to be available in the four taught blocks for 2020/21 are

  • Data Science
  • Concepts & Technologies of Artificial Intelligence
  • Data Visualization
  • Database Systems & Security
  • Data Mining & Informatics
  • Statistics with SPSS
  • 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

This M.Sc. 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.  Possible career paths for graduates from these roles include

  • Data Scientist
  • Data Analyst
  • Data Engineer
  • Business Intelligence Analyst

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

Additional Information

Everything you need to know about this course!

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/EU Full-time £6400 per year 2020-21
Home/EU Part-time £3200 per year 2020-21
International Full-time £13350 per year 2020-21

Additional Course Costs

A number of Office for Students funded scholarships of £10,000 are available. All students with a firm offer of a place on the course will be invited to complete an application form. Scholarships will be prioritised for female, black and disabled students.

Further information on these additional costs will be provided prior to the start of your studies

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.

2020 Entry

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.

Postgraduate Loan (UK or EU national):

You may be able to get a postgraduate student loan from Student Finance England of up to £11,222 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 gov.uk or here

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

EU students applying for the 2020/21 academic year:

The UK Government has confirmed that EU students will continue to be eligible for 'home fee status' for entry in September 2020, and will continue to have access to financial support available via student loans for the duration of their course. For more information take a look at the gov.uk website.


Funding and scholarships for postgraduate conversion courses in AI and data science

A number of Office for Students funded scholarships of £10,000 are available. All students with a firm offer of a place on the course will be invited to complete an application form. Scholarships will be prioritised for female, black and disabled students.


Postgraduate Loyalty Discount:

You can get 20% discount on a taught 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.

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Email

enquiries@wlv.ac.uk

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