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MSc Computer Science (Adaptive Cybersecurity)

At University of Galway
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Location

Ireland

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Qualification

Masters Degree (Taught)

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1 Year(s)

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09 September 2024

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6.5 IELTS

Cybersecurity is one of the most exciting and fastest growing areas of the ICT industry. It is a domain of enormous economic and societal importance, as it is aimed to protect citizens, businesses, and organisations against increasingly complex, damaging, and sophisticated attacks. This increasing complexity and level of sophistication requires new means of attack detection, protection, and mitigation, which are addressed by this innovative new programme, the MSc in Computer Science (Adaptive Cybersecurity) offered by the University of Galway. Adaptive cybersecurity incorporates state-of-the-art advanced dynamic cybersecurity techniques, algorithms, and frameworks to efficiently protect and mitigate systems and organisations against new emerging threats.
This 12-month full-time programme provides cutting edge technical training and research opportunities in the emerging area of AI-driven and data analytics-driven cybersecurity. It is a unique offering that is only matched by a small number of European and US-based Universities and builds on the vast research experience and technical skills of renowned, interdisciplinary experts based in the School of Computer Science, University of Galway.
This programme is aimed at graduates with a primary qualification and / or extensive industry experience in Computer Science or related subject area. It is not a conversion programme but expects students to already be at a very high standard regarding their Computer Science education.

Career Opportunities
The high global demand in cybersecurity experts is being reflected in a range of career options for example as network security architect, cybersecurity operations analyst or information security analyst. While our graduates can compete for such jobs, the programme, in particular, will cater for the demand stemming from emerging R&D career paths in cybersecurity that have a strong focus on machine learning and data analytics. These include positions such as an AI security controls architect, cybersecurity data analytics engineer, or cyber intelligence analyst.

Course fees are indicative and should be used as a guide. Speak to a counsellor to get an accurate price.

  • Duration: 1 Year(s)
  • Fees: Not available
Intake Location
Semester 1 (September), 2024 Galway
Semester 1 (September), 2025 Galway

Entry requirements for University of Galway

Prior qualification
      This MSc is targeted at high-performing graduates of Level 8 computer science programmes, or Level 8    science/engineering programmes that offer sufficient training in computing.

The minimum academic requirement for entry to the programme is a First Class Honours (or equivalent) from a recognised university or third-level college. However, a good Second Class Honours (or equivalent) can be deemed sufficient on the recommendation of the Programme Director.

English language proficiency
Overall, entry to the MSc Artificial Intelligence requires a minimum IELTS score of 6.5 overall, 6.5 in Writing and no less than 6.0 in any other band. TOEFL: Overall 88, Listening 12–19, Speaking 18–19, Writing 24–26, Reading 13–18. PTE: Overall 61, Writing 61, all other bands no less than 50.

Applicants are required to submit a personal statement outlining:
A summary of your primary degree and its relevance for a successful completion of this programme. We strongly encourage an evidence based approach to highlighting your academic accomplishments.
A summary of your previous capstone projects (e.g., undergraduate final year projects) including an outline of your exact contribution there. We strongly encourage an evidence based approach to outlining your existing technical skills and experience

Please upload a current C.V.

English language requirements

TOEFL Internet based overall score: 88.0

Application deadline:

This date isn’t available – speak to an IDP counsellor to get detailed information.

Further information

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