MSc Applied Data Science and Statistics

Duration Full time 1 year
Discipline
  • Mathematics
LocationExeter (Streatham)
Start date September

Overview

MSc Applied Data Science and Statistics is a full-time Masters course for those wanting to work with and derive meaning from data, but without prior experience of programming.

The programme will include a wide variety of applications and is relevant to those looking for careers working with data in a wide variety of sectors.

As a graduate of this programme you will be capable of extracting otherwise-hidden information within data to use it to make informed decisions.

You will cover:

  • Working with data and to perform statistical analysis to answer questions

  • How to interpret and communicate results in the presence of bias and uncertainty

  • A variety of languages essential to Data Science, including R and Python

Programme structure

Teaching on this programme is delivered through a mix of lectures, projects, group work and hands-on lab sessions. Many of your lectures will be interactive combining a blend of classroom learning, coding and data analysis. Group and individual projects will be undertaken using real data and will often focus on topical challenges which are the focus of current research.

Assessments will be based on a combination of exams, group and individual project work, practical data analysis, visualisation and communication skills.

The course is based around open source software. As a student you will also have access to many programmes, such as Matlab, through the University.

All aspects of the course are design with windows, mac and linux in mind. Many of your practical sessions will take place in the department’s newly refurbished mac suites.

The taught component of the programme is completed in June with the project extending over the summer period for submission in September.

The modules we outline here provide examples of what you can expect to learn on this degree course based on recent academic teaching. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand.

Learning and teaching

Aimed at non-specialists wanting to propel themselves in to a career in Data Science, our MSc Applied Data Science and Statistics programme will teach you the skills needed to enter a Data Scientist or Analyst role.

You will be taught to code in R and will also gain experience of Python.

As a graduate of this programme, you will understand how to easily handle extremely large sets of data, and how to extract otherwise-hidden information. You will also learn how to communicate and present your findings.

The programme will include applications across a wide variety of sectors and help you develop innovative and responsible approaches to the use of data. You will cover the entire spectrum from collection through to interrogation and analysis, interpretation, visualisation, and communication.

Careers

Employer demand for statistically-trained data scientists is high. A staggering 98% of our 2016/17 computing graduates, and 84% of mathematics graduates, went into work or further study within six months of graduation.

A World Economic Forum report ‘The Future of Jobs’ states that data analysts are likely to be one of two job fields which will be critically important across all industries and geographies by 2020. ‘Companies expect that [data analysts] will help them make sense and derive insights from the torrent of data generated by technological disruptions’.

Whether you’re looking to take your career in a new direction or for an MSc that will sit alongside your undergraduate degree to land you an exhilarating graduate job, you’re unlikely to find a better choice than Applied Data Science and Statistics.

Entry requirements

A good degree (normally a 2:2).

Successful applicants will usually have at least an A-level or equivalent in Mathematics and/or have received quantitative skills training as part of their undergraduate programme or professional experience.

Prior experience of coding is not necessary on this course.

Requirements for international students

If you are an international student, please visit our international equivalency pages to enable you to see if your existing academic qualifications meet our entry requirements.

English language requirements

IELTS (Academic)

Overall score 6.5. No less than 6.0 in any section.

TOEFL IBT*

Overall score 90 with minimum scores of 21 for writing, 21 for listening, 22 for reading and 23 for speaking.

Pearson Test of English (Academic)

58 with no less than 55 in all communicative skills.

Cambridge English: Advanced & Proficiency

Overall score 176. No less than 169 in any section.

Pre-sessional English

Applicants with lower English language test scores may be able to take pre-sessional English at INTO University of Exeter prior to commencing their programme. See our English language requirements page for more information.

Fees and funding

Tuition fees per year 2020/21

  • UK/EU: £9,950 full-time
  • International: £20,950 full-time

Fee information

Fees can normally be paid by two termly instalments and may be paid online. You will also be required to pay a tuition fee deposit to secure your offer of a place, unless you qualify for exemption. For further information about paying fees see our Student Fees pages.

UK government postgraduate loan scheme

Postgraduate loans of up to £10,609 are now available for Masters degrees. Find out more about eligibility and how to apply.

Global Excellence Scholarship

We are delighted to offer Global Excellence Scholarships for students of outstanding academic quality applying to postgraduate Taught programmes starting in autumn 2020.
Please note that this scholarship isn't offered for all our masters programmes.

Contact us

We welcome enquiries about the course.

For further information contact:

Web: Enquire online
Phone: +44 (0) 1392 724061

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