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University of Exeter: Security and Data Science
| Institution | University of Exeter |
|---|---|
| Department | Social and Political Sciences, Philosophy and Anthropology |
| Web | https://www.exeter.ac.uk |
| HASSEnquiries@exeter.ac.uk | |
| Telephone | +44 (0)1392 727272 |
| Study type | Taught |
MSc
Summary
-
Advancements in artificial intelligence (AI) and the increasingly data-driven nature of all aspects of society have significantly altered the security, defence, and law enforcement domains, with this, and other emerging technologies, posing both novel opportunities and threats for governments, armed services, security services, law enforcement, and civil society.
-
Understanding how these emergent technologies have aggravated social tensions, created new security vulnerabilities, impacted war fighting capabilities, and encouraged relative power shifts at both the inter-nation state and state versus sub-state actor levels involves understanding the technology-security relationships across multiple levels.
-
Our aim is to maximise your employability by providing you with a unique skill set that blends in-depth domain knowledge and practical data analysis skills; a hugely employable and transferable skillset both within and beyond the security, defence, and law enforcement sectors.
-
Graduates of this programme will have a dual speciality in data science skills and strong knowledge of the security-threat landscape and how security, defence, and law enforcement organisations are adapting to the novel opportunities and threats posed by emerging technologies, particularly data and AI.
-
This dual speciality will prepare you for roles in organisations such as the security services, National Crimes Agency, Europol, Interpol, and specialist policing units, as well as roles in business intelligence and analytics, data journalism, social research and specialised government department roles focused on the security, defence, and law enforcement domains.
No prior experience of working with data or in computer coding is necessary, with all of the necessary skills being taught on the programme at a suitable level for those without prior experience.
-
Gain practical experience of working with data and developing associated skills that are increasingly in demand within the security, defence, and law enforcement sectors.
-
Gain a unique blend of in-depth knowledge and understanding of security issues in relation to emerging technologies such as artificial intelligence (AI) and data.
-
Explore areas such as how law enforcement are using data for predictive policing, the use of generative AI by extremists, the use of AI in developing cybersecurity systems, and the use of AI in intelligence gathering and military decision making.
-
Learn to code in Python and how to use it for data science methods, a hugely employable and transferable skillset both within and beyond the security, defence, and law enforcement sectors.
-
Delivered by the highly successful Centre for Computational Social Science (C2S2) that specialises in providing quantitative and computational social research training to people from all academic and professional backgrounds, especially those with no prior experience.
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | We will consider applicants with a 2:2 Honours degree or above (or equivalent). We welcome students from any academic background. For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
Summary
-
Advancements in artificial intelligence (AI) and the increasingly data-driven nature of all aspects of society have significantly altered the security, defence, and law enforcement domains, with this, and other emerging technologies, posing both novel opportunities and threats for governments, armed services, security services, law enforcement, and civil society.
-
Understanding how these emergent technologies have aggravated social tensions, created new security vulnerabilities, impacted war fighting capabilities, and encouraged relative power shifts at both the inter-nation state and state versus sub-state actor levels involves understanding the technology-security relationships across multiple levels.
-
Our aim is to maximise your employability by providing you with a unique skill set that blends in-depth domain knowledge and practical data analysis skills; a hugely employable and transferable skillset both within and beyond the security, defence, and law enforcement sectors.
-
Graduates of this programme will have a dual speciality in data science skills and strong knowledge of the security-threat landscape and how security, defence, and law enforcement organisations are adapting to the novel opportunities and threats posed by emerging technologies, particularly data and AI.
-
This dual speciality will prepare you for roles in organisations such as the security services, National Crimes Agency, Europol, Interpol, and specialist policing units, as well as roles in business intelligence and analytics, data journalism, social research and specialised government department roles focused on the security, defence, and law enforcement domains.
No prior experience of working with data or in computer coding is necessary, with all of the necessary skills being taught on the programme at a suitable level for those without prior experience.
-
Gain practical experience of working with data and developing associated skills that are increasingly in demand within the security, defence, and law enforcement sectors.
-
Gain a unique blend of in-depth knowledge and understanding of security issues in relation to emerging technologies such as artificial intelligence (AI) and data.
-
Explore areas such as how law enforcement are using data for predictive policing, the use of generative AI by extremists, the use of AI in developing cybersecurity systems, and the use of AI in intelligence gathering and military decision making.
-
Learn to code in Python and how to use it for data science methods, a hugely employable and transferable skillset both within and beyond the security, defence, and law enforcement sectors.
-
Delivered by the highly successful Centre for Computational Social Science (C2S2) that specialises in providing quantitative and computational social research training to people from all academic and professional backgrounds, especially those with no prior experience.
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | We will consider applicants with a 2:2 Honours degree or above (or equivalent). We welcome students from any academic background. For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
Summary
-
Gain a unique blend of in-depth knowledge and understanding of security issues with practical skills in the interdisciplinary field of data science
-
Explore areas such as how law enforcement are using machine learning for predictive policing, the use of AI by extremists, the use of AI in developing cybersecurity systems, and the use of AI in intelligence gathering and warfare
-
Learn to code in Python and how to use it for methods such as Natural Language Processing (NLP), simulation and big data analysis
-
Delivered by the highly successful Q-Step Centre that specialises in providing quantitative and computational social research training to people from all academic and professional backgrounds.
-
Your combined technical skills and security knowledge will prepare you for analyst roles in organisations such as the security services, National Crimes Agency, Europol, Interpol, and specialist policing units, as well as roles in business intelligence and analytics, data journalism, social research and specialised government department roles focused on the security, defence, and law enforcement domains.
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | We are looking for graduates with a 2:1 or above in their first degree. While we normally only accept applicants who meet these criteria, if you have a high 2:2 or equivalent, are coming from a different academic background which is equivalent to degree level, or have relevant work experience, we would welcome your application. For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
Summary
-
Gain a unique blend of in-depth knowledge and understanding of security issues with practical skills in the interdisciplinary field of data science
-
Explore areas such as how law enforcement are using machine learning for predictive policing, the use of AI by extremists, the use of AI in developing cybersecurity systems, and the use of AI in intelligence gathering and warfare
-
Learn to code in Python and how to use it for methods such as Natural Language Processing (NLP), simulation and big data analysis
-
Delivered by the highly successful Q-Step Centre that specialises in providing quantitative and computational social research training to people from all academic and professional backgrounds.
-
Your combined technical skills and security knowledge will prepare you for analyst roles in organisations such as the security services, National Crimes Agency, Europol, Interpol, and specialist policing units, as well as roles in business intelligence and analytics, data journalism, social research and specialised government department roles focused on the security, defence, and law enforcement domains.
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | We are looking for graduates with a 2:1 or above in their first degree. While we normally only accept applicants who meet these criteria, if you have a high 2:2 or equivalent, are coming from a different academic background which is equivalent to degree level, or have relevant work experience, we would welcome your application. For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
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