MSc DATA SCIENCE (PART TIME 3 YEAR)
MSC DATA SCIENCE (PART TIME 3 YEAR)
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.
About
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.

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Important Information
Whilst the University will make every effort to offer the courses listed, changes may sometimes be made arising from the regular review of course programmes. Where this activity leads to significant (but not minor) changes to programmes, there will normally be prior consultation of students and others. Changes may for example consist of variations to the content and method of delivery of programmes, courses and other services, to discontinue programmes, courses and other services and to merge or combine programmes or courses. The University will endeavour to keep such changes to a minimum, and will inform students.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/)
Career destinations
Examples of careers that you could enter include;
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Data scientist
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Data analyst
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Data miner
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Business intelligence analyst

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Assessment for Year 1
We’ll assess your work in different ways depending on the module content and learning objectives. These might include programming assignments, essays, class tests, problem sheets, laboratory reports, presentations and demonstrations.
Most modules are assessed through a mixture of coursework and exams, while some are entirely assessed by coursework. In your dissertation, you will be assessed particularly on your understanding and how you integrate what you’ve learnt to solve a real problem.
Assessment for Year 2
We’ll assess your work in different ways depending on the module content and learning objectives. These might include programming assignments, essays, class tests, problem sheets, laboratory reports, presentations and demonstrations.
Most modules are assessed through a mixture of coursework and exams, while some are entirely assessed by coursework. In your dissertation, you will be assessed particularly on your understanding and how you integrate what you’ve learnt to solve a real problem.
Assessment for Year 3
We’ll assess your work in different ways depending on the module content and learning objectives. These might include programming assignments, essays, class tests, problem sheets, laboratory reports, presentations and demonstrations.
Most modules are assessed through a mixture of coursework and exams, while some are entirely assessed by coursework. In your dissertation, you will be assessed particularly on your understanding and how you integrate what you’ve learnt to solve a real problem.
Assessment for Year 1
We’ll assess your work in different ways depending on the module content and learning objectives. These might include programming assignments, essays, class tests, problem sheets, laboratory reports, presentations and demonstrations.
Most modules are assessed through a mixture of coursework and exams, while some are entirely assessed by coursework. In your dissertation, you will be assessed particularly on your understanding and how you integrate what you’ve learnt to solve a real problem.
Important Information
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. Where this activity leads to significant (but not minor) changes to programmes and their constituent modules, the University will endeavour to consult with 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. 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 inform students.This is your SECOND year of study.
Assessment for Year 2
We’ll assess your work in different ways depending on the module content and learning objectives. These might include programming assignments, essays, class tests, problem sheets, laboratory reports, presentations and demonstrations.
Most modules are assessed through a mixture of coursework and exams, while some are entirely assessed by coursework. In your dissertation, you will be assessed particularly on your understanding and how you integrate what you’ve learnt to solve a real problem.
Important Information
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. Where this activity leads to significant (but not minor) changes to programmes and their constituent modules, the University will endeavour to consult with 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. 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 inform students.This is the THIRD year of study
Assessment for Year 3
We’ll assess your work in different ways depending on the module content and learning objectives. These might include programming assignments, essays, class tests, problem sheets, laboratory reports, presentations and demonstrations.
Most modules are assessed through a mixture of coursework and exams, while some are entirely assessed by coursework. In your dissertation, you will be assessed particularly on your understanding and how you integrate what you’ve learnt to solve a real problem.
Important Information
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. Where this activity leads to significant (but not minor) changes to programmes and their constituent modules, the University will endeavour to consult with 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. 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 inform students.Entry Requirements
Degree classification
Bachelors degree (minimum 2.1 or equivalent)Degree subject
Computing, Mathematics or a related subjectStudents 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:
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IELTS: 6.5 (minimum 5.5 in all components)
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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 intopre-sessional@uea.ac.uk
Intakes
This course is open to UK, EU and International applicants. The annual intake for this course is in September each year.

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Fees and Funding
Tuition fees for the academic year 2020/21 are:
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UK/EU Students: £7,850 (full time)
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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.
Course related costs
Please see Additional Course Fees for details of course-related costs.

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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
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.

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