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Data Science and Analytics MSc

Course code

I200PDATA

Start date

September

Subject area

Computer Science

Mode of study

2 years part-time

1 year full-time

Fees

2020/21

UK / EU £10,440

International £19,280

Entry requirements

2:2

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Overview

From social networks, ecommerce and government through to sensors, smart meters and mobile networks, data is being collected at an unprecedented speed and scale. But big data is of little use without 'big insight'. The skills required to develop such insight are in short supply and the shortage of skilled workers in the data analytics market is cited as a key barrier to unlocking everything that data has to offer.

The Data Science and Analytics MSc programme provides these skills, combining a strong academic degree course with hands-on experience of leading commercial technology, and the chance to gain industry certification. You will develop both your critical awareness of the very latest developments in data science and the practical skills that help you apply data science more effectively in a wide variety of sectors including finance, retail and government.

You’ll gain knowledge of key concepts and the nuances of effective data analysis. You’ll gain confidence in your own critical understanding of the challenges and issues arising from taking heterogeneous data at volume and scale, understanding what it represents, and turning that understanding into insight for business, scientific or social innovation. You’ll develop a practical understanding of the skills, tools and techniques necessary for the effective application of data science.

The course is run in conjunction with SAS, a market leader in business analytics software and services, and the largest independent vendor in the business intelligence market.

Brunel's course is unique in being the only current MSc programme that is fully integrated with SAS, providing the SAS base certification.

The practical aspects of many of the modules will allow you to gain hands-on experience of several commercial SAS tools (e.g. SAS BASE, Enterprise Guide, Enterprise Miner and Visual Analytics). This experience is designed, in part, to develop skills in preparation for the SAS certification part of the programme. You will have the opportunity to obtain an SAS certificate such as SAS Base Programming, which is a recognised industry qualification, following a two-week SAS certification ‘boot camp’.

The roles that our graduates are typically recruited to within these organisations include analytics consultant, big data engineer/scientist, business analyst, clinical data scientist, data design specialist, data scientists, developer/development engineer, enterprise/technical architect, forecast analyst, marketing/customer and/or insight analyst, quantitative analyst and web analyst.

Brunel’s Women in Engineering and Computing mentoring scheme provides our female students with invaluable help and support from their industry mentors.

You can explore our campus and facilities for yourself by taking our virtual tour.

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Course content

This incredibly relevant and current course will equip you with all the skills you need to venture out into the world of analytics and big data.

This course can be studied 2 years part-time or 1 year full-time, starting in September.

Year 1

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Careers and your future

Your MSc in Data Science and Analytics from Brunel will equip you to work in leading data science organisations.

Companies seeking to employ our data science graduates include Accenture, AstraZeneca, AXA Insurance, British Airways, Capgemini, Experian, FICO, GE Healthcare, HSBC, nPower, Orange, PayPal, Sopra and Waitrose.

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UK entry requirements

  • A 2:2 or above UK Honours degree or equivalent internationally recognised qualification from a scientific, engineering, or a numerate subject.
  • Applicants with other qualifications and industrial experience (relevant to the subject area) may be considered, and will assessed on an individual basis. Industrial certifications may be taken into account (those provided by organisations such as Microsoft and Sun). Such applicants may be required to attend an interview.
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EU and International entry requirements

If you require a Tier 4 visa to study in the UK, you must prove knowledge of the English language so that we can issue you a Certificate of Acceptance for Study (CAS). To do this, you will need an IELTS for UKVI or Trinity SELT test pass gained from a test centre approved by UK Visas and Immigration (UKVI) and on the Secure English Language Testing (SELT) list. This must have been taken and passed within two years from the date the CAS is made.

English language requirements

  • IELTS: 6.5 (min 6 in all areas)
  • Pearson: 58 (51 in all subscores)
  • BrunELT: 65% (min 60% in all areas)

You can find out more about the qualifications we accept on our English Language Requirements page.

Should you wish to take a pre-sessional English course to improve your English prior to starting your degree course, you must sit the test at an approved SELT provider for the same reason. We offer our own BrunELT English test and have pre-sessional English language courses for students who do not meet requirements or who wish to improve their English. You can find out more information on English courses and test options through our Brunel Language Centre.

Please check our Admissions pages for more information on other factors we use to assess applicants. This information is for guidance only and each application is assessed on a case-by-case basis. Entry requirements are subject to review, and may change.

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Fees and funding

2020/21

UK / EU

£10,440 full-time

£5,220 part-time

International

£19,280 full-time

£9,640 part-time

More information on any additional course-related costs.

See our fees and funding page for full details of postgraduate scholarships available to Brunel applicants.

Fees quoted are per year and are subject to an annual increase. 

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Teaching and Learning

Our Data Science and Analytics master's programme aims to equip you with the qualities and transferable skills necessary for employment. The course is developed with industry in mind and has one or more industrial advisers who are involved in course development and delivery.

Modules are typically taught via lectures and seminars with some lab work. Where appropriate other teaching methods will also be incorporated. All learning is supported by the market leader in Virtual Learning Environments (VLE), the Blackboard Learn system.

Should you need any non-academic support during your time at Brunel, the Student Support and Welfare Team are here to help.

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Assessment and feedback

Your progress will be evaluated through a combination of in module assessments and exams. There will also be module specific assessments, for example presentations within the Learning Development Project.

Read our guide on how to avoid plagiarism in your assessments at Brunel.