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Postgraduate Taught

MSc Cyber Security Analytics

Please note: The below is for 2025 entries. Click here for 2024 entries.
UCAS code 1234
Duration 1 year full time
Entry year 2024
Campus Streatham Campus
Discipline Computer Science
Contact

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

Typical offer

View full entry requirements

2:1 Honours degree

Contextual offers

Overview

  • Taught in partnership with the University of Exeter Business School, Law School and leading experts from Industry
  • Designed to support students without a background in cyber security or data analytics to start a career in these areas
  • Learn how to recognise and manage risks to a network or a system’s security with Data Analytics, and how to build and defend secure systems with Cyber Security
  • Explore wider security elements including mathematical, human and societal factors, and the option to study cyber security law and the future of virtual currency
  • Enjoy our integrated ‘mini lecture series’, consisting of guest lectures from industrial partners involved in the cyber security sector.
Apply for Sept 2024 entry

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View 2024 Entry

Fast Track (current Exeter students)

Open days and visiting us

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Contact

Web: Enquire online

Phone: +44 (0)1392 72 72 72

Dr Diego Marmsoler talks about Cyber Security Analytics at the University of Exeter.

Top 20 in the UK for graduate prospects

16th for graduate prospects for Computer Science in the Complete University Guide 2024 (94%)

Partner to the Alan Turing Institute and home to the Institute of Data Science and Artificial Intelligence

Excellent facilities spanning a wide range of machine types and software ecosystems

Courses designed to launch and develop careers for those working in or entering data and technology-driven roles

Entry requirements

Applicants are required to have at least a 2:1 degree in a strongly numerate subject (e.g. computer science, mathematics or physics) and must be able to show evidence of good programming ability in a recognised modern computer language. Applicants may be interviewed by video conference to assess their programming ability and suitability for the course.

The Python programming language is used extensively during this course and applicants with experience in other languages will be asked to learn basic Python before commencing the course.

We may consider applications with non-standard qualifications where there is evidence of exceptional performance in modules relevant to the programme of study, significant relevant work experience, or relevant professional qualifications.

Entry requirements for international students

Please visit our entry requirements section for equivalencies from your country and further information on English language requirements.

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Entry requirements for international students

English language requirements

International students need to show they have the required level of English language to study this course. The required test scores for this course fall under Profile B3. Please visit our English language requirements page to view the required test scores and equivalencies from your country.

Course content

This programme is modular and flexible, carrying 180 credits in total and offering flexibility in the choice of modules studied.

MSc Cyber Security Analytics consists of core compulsory Cyber Security and Data Analytics focussed modules worth 60 credits, a 60-credit MSc Research project, and 60 credits of optional modules (two chosen from Cyber modules and two from Data Science / Analytics).

The programme starts in September and the taught elements are concluded by May. The MSc Research project, under the personal supervision of a research expert in the chosen area, continues until September.

Your research project should typically apply knowledge of both Cyber Security and Data Analytics.

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.

Fees

2024/25 entry

UK fees per year:

£12,100 full-time

International fees per year:

£27,500 full-time

Institute of Coding Scholarships

The University of Exeter has eleven Institute of Coding Scholarships worth £10,000 available for students studying Data Science with Artificial Intelligence MSc and Cyber Security Analytics MSc.

The awards are part of a scheme by the Office for Students which aims to significantly increase the number and diversity of highly skilled graduates in the UK Data Science sector by 2023. These scholarships are intended to support students from underrepresented groups to access, participate and succeed in higher education.

Once you have applied for your course, please visit the Institute of Coding Scholarship webpage to find out more information and access the scholarship application system.

Scholarships

We invest heavily in scholarships for talented prospective Masters students. This includes over £5 million in scholarships for international students, such as our Global Excellence Scholarships*.

For more information on scholarships, please visit our scholarships and bursaries page.

*Selected programmes only. Please see the Terms and Conditions for each scheme for further details.

CIISec Academic partners

We are delighted to announce that the University of Exeter have become CIISec Academic partners. Find out more information about CIISec Academic partnerships.

Teaching and research

Teaching

Teaching is mainly delivered by lectures, workshops and online materials. Each module references core and supplementary texts, or material recommended by module deliverers, which provide in depth coverage of the subject and go beyond the lectures.

Internationally recognised research

We believe every student benefits from being taught by experts active in research and practice. All our academic staff are active in internationally-recognised scientific research across a wide range of topics. You will discuss the very latest ideas, research discoveries and new technologies, becoming actively involved in a research project yourself.

Supportive environment

We aim to provide a supportive environment where students and staff work together in an informal and friendly atmosphere. We operate an open door policy, so it’s easy to consult individual members of staff or to fix appointments with them via email. As a friendly group of staff, you’ll get to know us well during your time here.

Assessments

Modules are either assessed by coursework only, or a mixture of coursework and an exam. For detailed information on assessment see the programme structure for this programme.

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Careers

Computer Science is at the forefront of technology and innovation. With connectivity at the heart of society, there is an increasing need for graduates who are able to understand the latest techniques and technology to negotiate problems. Huge opportunities exist for the businesses and individuals who can solve these problems using the latest technology such as artificial intelligence, machine learning, data science, high performing computing and cyber security.

Graduate destinations

Career opportunities are limitless, with graduates being found in a variety of sectors, including software engineering, health communications, education, life sciences, finance and manufacturing. This programme is particularly suited to professionals and graduates looking to develop career options or pursue academia.

Dedicated careers support

You will receive support from our dedicated Career Zone team, who provide excellent career guidance at all stages of career planning. The Career Zone provides one-on-one support and is home to a wealth of business and industry contacts. Additionally, they host useful training events, workshops and lectures which are designed to further support you in developing your enterprise acumen. Please visit the  Career Zone for additional information on their services.

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