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Cybersecurity and Machine Learning at University of Aberdeen - UCAS

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

This programme focuses on two key areas: securing AI systems to ensure they are robust, responsible, and regulatory-compliant and using AI to enhance cybersecurity methods against complex threats. Machine learning (ML) technologies have become critical to cybersecurity, as they are able to quickly analyse millions of events and flag abnormal behaviour or potential security threats. Conversely, confidentiality and integrity are crucial to AI and cybersecurity techniques are therefore crucial to protecting AI systems from vulnerabilities and attacks. This programme embodies the idea of "AI for Security, and Security for AI," offering training in fundamental cybersecurity practices like secure software development, digital forensics, and ethical hacking, combined with advanced AI and machine learning concepts. The increasing use of AI across different industry sectors and the rise in cyber attacks threatening individuals, organisations and countries is driving demand for professionals proficient in both cybersecurity and AI. Studying this programme will equip you with a distinctive set of skills in both of these interconnected fields and open up a wide range of career opportunities.

Modules

This programme allows you to choose between a number of courses, meaning you can tailor the degree to your specific interests and future career plans. The courses provide highly practical training in penetration testing and ethical hacking, preparing you to identify vulnerabilities and strengthen security. You will also get hands-on experience with enterprise-grade tools for forensic security and learn to investigate security breaches, ensure compliance, and maintain the integrity of your IT infrastructure. You will develop technical expertise and practical skills in identifying and critically evaluating security and data protection techniques in the Internet of Things, 5G Networks, Cloud Computing, Autonomous Vehicles and Industrial Control Systems.

Assessment method

View the programme page to find out more about how you will be assessed. You can be assessed by coursework, written or oral examination, essays, your dissertation and other methods of assessment relevant to your subject.


How to apply

International applicants

When you are thinking about studying overseas, it is important that you understand all the costs involved and budget accordingly. It is essential to budget for your studies prior to leaving your home country and to arrange all your funding for BOTH your tuition fees and your living costs. In addition, it is important to check all immigration requirements regularly and before travelling, as they can change. Students without the necessary visa will be refused entry to the UK. You should allow plenty of time to organise your visa and ensure you are aware of all your responsibilities under the terms and conditions of your visa. Please note that the advice provided via the University is the Student Visa category of the UK's Points Based Immigration Scheme. For further information, please visit the United Kingdom Visas and Immigration (UKVI) website: www.gov.uk/government/organisations/uk-visas-and-immigration.

Entry requirements

A Bachelor's degree with a 2:2 (lower second class) Honours degree (or equivalent) in Computer Science or another relevant quantitative discipline such as Mathematics, Statistics, Physics, Natural Science, Electronic Engineering, General Engineering, Operations Research, or a joint degree in two such subjects. Applicants should also be competent in computer programming (C/C++, Python) to the level expected at the end of the first year of a BSc Honours Degree in Computer Science.


English language requirements

TestGradeAdditional details
IELTS (Academic)6.5Overall - 6.5 with: Listening - 5.5 or above; Reading - 5.5 or above; Speaking - 5.5 or above; Writing - 6.0 or above. IELTS Indicator or IELTS General Training are not accepted.
TOEFL (iBT)90TOEFL iBT and TOEFL Home Edition: Overall - 90 with: Listening - 17 or above; Reading - 18 or above; Speaking - 20 or above; Writing - 21 or above. DI code is 0818
PTE Academic62Overall - 62 with: Listening - 59 or above; Reading - 59 or above; Speaking - 59 or above; Writing - 59 or above. Online Test is not accepted
Institution's Own TestAcademic English Pre-sessional Programme (PSE) - Pass (valid for one year) Academic English Preparation Programme undertaken at other UK HEI - accredited by BALEAP and within 1 year of start of course

To study for a postgraduate degree at the University of Aberdeen it is essential that you can speak, understand, read, and write academic English fluently. These skills will allow you to understand lectures, produce high standards of written work, and perform well in examinations. We can assess your English language proficiency through a variety of means: through your nationality, through the qualifications you gained in high school, through the degree you undertook or are undertaking at university, or through a recognised English language test. Postgraduate Standard requirements are used by the Schools of Biological Sciences; Engineering; Geosciences; Medicine, Medical Sciences and Nutrition; Natural and Computing Sciences; and Psychology. Please note certification must be within the two years prior to commencement of your course, unless otherwise stated.

Please use the checklist at the following webpage to determine how you can meet our English language requirements:

https://www.abdn.ac.uk/study/international/requirements-pg-266.php


Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

Fee information is not yet published for entry in Academic Year 2025/2026. For guidance, the fees on the University Online Prospectus website are for 2024/25.

Sponsorship information

Eligible self-funded international Masters students will receive the Aberdeen Global Scholarship. Visit our Funding Database to find out more and see our full range of scholarships: www.abdn.ac.uk/study/funding/. The University of Aberdeen provides an Alumni Discount Scheme: The University of Aberdeen is very pleased to offer a 20% discount on postgraduate tuition fees for all alumni who have graduated with a degree from the University of Aberdeen.

Cybersecurity and Machine Learning at University of Aberdeen - UCAS