MSc Data Science (Part Time 2 Year)
Course options
Key Details
- Attendance
- Part Time
- Award
- Degree of Master of Science
- Course Length
- 2 years
- Course Start Date
- September 2023
Course Overview
Great business decisions are underpinned by high quality data. As a data scientist, you are absolutely integral to the success of an organisation. You will source, analyse and utilise vast amounts of data to support strategic decision-making.
If that’s where you aspire to be, then this course is for you. You'll gain an advanced practical and theoretical grounding in data mining and statistics, with the chance to customise your degree through modules in artificial intelligence, visualisation, programming and database manipulation.
We have a large data science and statistics research group, which has made significant contributions to the field in the last 20 years, so you’ll be working directly with pioneering experts.
Data scientists are highly prized in almost any industry, so you’ll have great graduate career prospects as well as a wide range of transferable skills.
This degree follows the same programme as its full-time equivalent but is spread over two years.
Organisations today have a vast amount of raw data generated from their computerised operational systems. So how will they turn this into high quality information for strategic decision-making? They need a new generation of data analysts who understand effective and efficient data analysis methods and the Knowledge Discovery and Data Mining (KDD) process.
This course – one of the most established in this area with over 15 years of history – offers an excellent platform to help you forge a successful career in data analysis.
As a student, you’ll be part of our vibrant research community and will have very good opportunities to progress to a PhD. You will be part of a research group that has made significant contributions in techniques for data mining and KDD – including KDD Methodologies; use of metaheuristics for rule and tree induction; all-rule induction; clustering techniques; feature subset selection; feature construction; time series classification as well as many applications in the financial services industry, medicine and telecommunications.
The research group has collaborated in research or consultancy projects with a wide range of organisations, including: the Biotechnology and Biological Sciences Research Council (BBSRC), the Engineering and Physical Sciences Research Council (EPSRC), the Institute and Faculty of Actuaries and The Royal Society, Alston Transport, Derbyshire Police, Lanner Group, Master Foods, MET Office, National Air Traffic Services, Aviva, Process Evolution Ltd, Simultec AG Zurich, Virgin Money and the Norwich Football Club.
What’s more, this degree has full Chartered IT Professional (CITP) accreditation (Further Learning Element) as well as partial fulfilment of Chartered Engineer (CEng) status from The Chartered Institute for IT (BCS).
You will graduate with a wealth of knowledge, prestigious connections and research experience – putting you one step ahead of other graduates in your career or further studies.
Module enrolment for each year is discussed with the Course Director at the start of the course.
Entry Requirements
- Degree Classification
- Bachelors degree 2.1 or equivalent
- Degree Subject
- Computing, Mathematics or a related subject. You should be able to demonstrate some programming experience either in other qualifications or work experience.
- English 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:
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IELTS: 6.0 (minimum 5.5 in two components only, with 6.0 in the other two)
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PTE (Pearson): 64 (minimum 59 in two components only with 64 in the other two)
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 intopre-sessional@uea.ac.uk.
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- Intakes
This course is open to UK, EU and International applicants. The annual intake for this course is in September each year.
Fees and Funding
Tuition fees for the Academic Year 2023/24 are:
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UK Students: £10,500 (full time)
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International Students: £22,100 (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 Home students).
We estimate living expenses at £1,023 per month.
Further Information on tuition fees can be found here.
Scholarships and Bursaries
The University of East Anglia offers a range of Scholarships; please click the link for eligibility, details of how to apply and closing dates.
Course Related Costs
Please see Additional Course Fees for details of additional course-related costs.
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.
The closing date for submission of complete applications from International students is Friday 19 May 2023.
Please note we cannot consider international applications after this date.
FURTHER INFORMATION
If you would like to discuss your individual circumstances prior to applying please do contact us:
Postgraduate Admissions Office
Tel: +44 (0)1603 591515
Email: admissions@uea.ac.uk
International candidates are also encouraged to access the International Students section of our website.
Employability
After the Course
You’ll graduate ready for a career in data analysis or data science – an area of rapid growth at the moment.
You can expect to earn a high salary – the median annual wage for data science in the UK was 60,000 (source http://www.itjobwatch.co.uk/).
Careers
A degree at UEA will prepare you for a wide variety of careers. We've been ranked 1st for Job Prospects by StudentCrowd in 2022.
Examples of careers that you could enter include:
- Data scientist
- Data analyst
- Data miner
- Business intelligence analyst
Discover more on our Careers webpages.