MSc Data Science (Part Time 3 Year)


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Key facts

(2014 Research Excellence Framework)

This course is designed to train highly qualified data analysts – or data scientists – to embark on careers in a wide range of industries. You’ll be given an excellent practical and theoretical grounding in data mining, statistics and artificial intelligence with the chance to customise your degree through modules in programming, database manipulation and NLP.

Data Scientists are highly prized for their advanced, practical skill set and their increasing importance to the success of a modern business. Organisations in almost any industry need to source, analyse and utilise vast amounts of data to aid strategic decision-making, so you’ll have great graduate career prospects as well as a wide range of transferrable skills.

We have one of the largest Data Mining, Machine Learning and Statistics research groups in the UK, which has made significant contributions to the field in the last 10 years, so you’ll be working directly with pioneering experts.


The unique structure of this course offers a truly part-time route for mature professionals to supplement their work with an accredited qualification. The MSc requires students to study one module per semester over a 3 year period. The timetable for this course is designed so that students are able to study alongside working, and contact time for each module is scheduled as a maximum of one day per week. 

The course follows the successful model of the KDD MSc (Industry Based), which we have run for our partner Aviva for over 14 years. During this time we have produced 80 outstanding graduates for Aviva, bolstering their workforce with Master’s-level recognition.

The course was short-listed as one of the most innovative collaborations between Business and a University by the East of England Development Agency.

This MSc is one of the few similar academic qualifications to have been conceived and developed to meet the specific needs of industry partners.

The course teaches skills which are directly relevant to industry, as the sector increasingly seeks to expand its use of data analytics.

Students will be able to see the direct impact of the course on their vocational work, as some of the modules will involve projects using their company’s data. This will allow students to integrate their university projects into their job, putting the principles they have learnt from the classroom into practice.

Companies will directly benefit from a relationship with the university which will involve access to state-of-the-art expertise in topical subjects such as data mining, statistics and information retrieval as well as artificial intelligence and database manipulation.

Some modules consider the experience and knowledge which students have acquired at work, and may seek to involve line managers in assessing participants’ skills.

The MSc represents excellent value for money, as employers are able to part fund high quality training to incentivise staff and increase retention. The added bonus of only having to give participants a single day off per module makes the programme much more cost effective than other similar programmes.

Full details about the course structure can be found here.

Course Modules 2020/1


Whilst the University will make every effort to offer the modules listed, changes may sometimes be made arising from the annual monitoring, review and update of modules and regular (five-yearly) review of course programmes. Where this activity leads to significant (but not minor) changes to programmes and their constituent modules, there will normally be prior consultation of students and others. It is also possible that the University may not be able to offer a module for reasons outside of its control, such as the illness of a member of staff or sabbatical leave. In some cases optional modules can have limited places available and so you may be asked to make additional module choices in the event you do not gain a place on your first choice. Where this is the case, the University will endeavour to inform students.

Further Reading

Entry Requirements

  • Degree Subject Computing, Mathematics or a related subject.
  • Degree Classification Bachelors degree (minimum 2.1 or equivalent).

Students for whom English is a Foreign language

We welcome applications from students whose first language is not English. To ensure such students benefit from postgraduate study, we require evidence of proficiency in English. Our usual entry requirements are as follows:

  • IELTS: 6.5 (minimum 5.5 in all components)
  • PTE (Pearson): 58 (minimum 42 in all components)

Test dates should be within two years of the course start date.

Other tests, including Cambridge English exams and the Trinity Integrated Skills in English are also accepted by the university. The full list of accepted tests can be found here: Accepted English Language Tests

INTO UEA also run pre-sessional courses which can be taken prior to the start of your course. For further information and to see if you qualify please contact

Fees and Funding

Tuition fees for the academic year 2020/21 are:

  • UK/EU Students: £7,850 (full time)
  • International Students: £16,400 (full time)

If you choose to study part-time, the fee per annum will be half the annual fee for that year, or a pro-rata fee for the module credit you are taking (only available for UK/EU students).


Living Expenses

We estimate living expenses at £1,015 per month.



A variety of Scholarships may be offered to UK/EU and International students. Scholarships are normally awarded to students on the basis of academic merit and are usually for the duration of the period of study. Please click here for more detailed information about funding for prospective students.

How to Apply

Applications for Postgraduate Taught programmes at the University of East Anglia should be made directly to the University.

To apply please use our online application form.

Further Information

To request further information & to be kept up to date with news & events please use our online enquiry form.

If you would like to discuss your individual circumstances prior to applying please do contact us:

Postgraduate Admissions Office
Tel: +44 (0)1603 591515

International candidates are also encouraged to access the International Students section of our website.

    Next Steps

    We can’t wait to hear from you. Just pop any questions about this course into the form below and our enquiries team will answer as soon as they can.

    Admissions enquiries: or
    telephone +44 (0)1603 591515