Cyber Security Privacy and Trust MSc
Be at the cutting edge of the field of cyber security, privacy, and trust.
At a glance
| Level/Award | Masters/MSc |
| Duration |
1 year (full time) 2 years (part-tme) 3 years (part-time) |
| Start | September 2021 |
| Entry requirements |
A UK 2:1 honours degree, or its international equivalent, in computer science, mathematics, linguistics, or a related discipline. We particularly welcome applications from members of communities under-represented in computer science and mathematics. |
With the emergence of new systems and services such as electronic IDs and passports, electronic payment systems and loyalty schemes, electronic tickets, and telecommunication systems, every aspect of our life is relying on / recorded by some computerised system. As such, we have been witnessing a significant increase in attacks targeting computing infrastructure. GCHQ has characterised cybersecurity threat as being as serious as terrorism.
Cybersecurity and privacy is the study of the computational principles, methods and mechanisms for safe-guarding these sensitive applications. Graduates of the programme will learn how to evaluate, design, and implement secure and trustworthy systems in complex distributed systems.
Only half of the businesses in UK, US and Germany are prepared to deal with cyberattacks, and therefore it is easy to predict that there will be high demand for experts in the area in the nearest future.
MSc in Cyber Security, Privacy and Trust provides you with the necessary training to become the security expert that can meet the challenge of securing information technology services in the next five to ten years.
Why Edinburgh?
In the School of Informatics, we believe that teaching and research should go hand in hand in order to enhance the student experience. You will be studying in a vibrant research environment and learning from a team of domain experts who are at the global forefront in Cyber Security and Privacy research.
The University of Edinburgh is recognised as the NCSC Academic Centre of Excellence in Cyber Security Research as well as Edinburgh Cyber Security, Privacy and Trust Institute.
The Security, Privacy and Trust group in the School of Informatics is the largest grouping in the field in the UK, with 18 academic staff and 15 affiliated staff from around the University. Students will be welcome to attend monthly security seminar series hold by the group, featuring world experts in the field.
Students will benefit from direct access to expertise, events and network of further groupings within the University., such as the Blockchain Lab led by Professor Aggelos Kiayias which aims at studying all aspects of distributed ledger technology. The University of Edinburgh is also home to the Bayes Centre innovation hub for Data Science and Artificial Intelligence. The Bayes Centre occupies a building neighbouring Informatics Forum and has numerous links with the School.
Academic Centres of Excellence in Cyber Security Research
Edinburgh Cyber Security, Privacy and Trust Institute
Security, Privacy and Trust group
SigInt - the cyber security society at The University of Edinburgh
Students in MSc in Cyber Security, Privacy and Trust programme will also benefit from peer interactions with other students in the School of Informatics through our host of student societies and projects.
CompSoc (Computer Science Society) is the largest tech student society in Scotland. Students with specific interests are gathered in Special Interest Groups. SigInt, Cyber Security Interest Group is the most active one.
SigInt host a variety of events from workshops and talks to Capture the Flag competitions. They compete across the country and place in the top 3 teams in the country. Their recent achievements include:
- 1st Place LTDH 2019
- 1st Place Hackback2
- 1st and 3rd Place Deloitte CTF 2019 Quals
- 1st Place at DeloitteCTF 2019 Finals
- 1st out of 204 different universities in the Hack the Box CTF 2020 Quals
Facts and figures
The University of Edinburgh is consistently ranked as one of the top 50 universities in the world. It's ranked 20th in the 2020 QS World University rankings, 23rd in the Computer Science subject ranking, 22nd in Times Higher Education subject ranking for Computer Science.
Facts and numbers
1 - Edinburgh is ranked first in the UK for cryptography, computer security and HCI in CSRankings, it ranks in top 5 in Europe
19 - Edinburgh is one of 19 Academic Centres of Excellence in Cyber Security Research in the UK
20 - the University of Edinburgh is ranked 20th in the QS World Ranking 2020
22 - the School of Informatics is ranked 22nd in Times Higher Education World Subject Ranking for Computer Science 2021
23 - the School of Informatics is ranked 23rd in QS World Ranking for Computer Science 2020
Careers
Graduates will be equipped with skills to pursue careers as Security Analyst, Security Architect, Security Engineer, Security Administrator, Cyber Risk Analyst, Cryptographer, Cryptanalyst, Security Consultant, Security Auditor, Secure Software Developer, Penetration Tester, Ethical Hacker, Security Researcher (in academia or industry), as well as security officers of various kinds in government and public sector positions.
By and large, the School of Informatics graduates have excellent career prospects. Popular employers include Google, Facebook, Amazon, IBM, SkyScanner, Intel, ARM, Samsung, NVIDIA, Keysight, RockStar North as well as RBS, JP Morgans, Citigroup.
There is zero percent unemployment in cyber security and opportunities are endless.
Programme details
This MSc consists of approximately seven months of taught courses across two semesters and up to four months of project work.
The MSc covers three main themes: core technology, social aspects and applications. This will provide students with a multidisciplinary perspective in the field.
Students are required to take Research Methods in Security, Privacy, and Trust and choose from a range of optional Computer Science and non-Computer Science courses offered by School of Law and School of Social and Political Science. In 2021/22 we expect to offer the following CS Security-related courses: Introduction to Modern Cryptography, Blockchains and Distributed Ledgers, Secure Programming, Quantum Cyber Security, Formal Verification, The Human Factor: Working with Users, Case Studies in AI Ethics and Security Engineering. Non-CS Security-related courses will include Controversies in the Data society, Surveillance and Security, International Security, Cybercrime and Cyber Security.
Please note: not all the courses are offered in any given year (in the year 2020/21 the number of courses was limited due to Covid-19 crisis). Lecturers might change year to year.
| Name | Course taught | Research interests |
|---|---|---|
|
Programme Director |
Provable security: verification of crypto protocols, formal models, protocol composition, applied cryptography, quantum cryptography |
|
| Dr Sam Ainsworth |
Security Engineering |
Architectural and compiler techniques for data prefetching, both in software and in hardware, particularly for irregular and big data workloads; efficient hardware fault detection and correction; and systems, runtime and hardware security |
| Prof Ross Anderson | Security Engineering | Security Engineering; sustainability of security; economics, psychology and criminology of information; peer-to-peer and social network systems; reliabiltiy of security systems; robustness of cryptographic protocols; cryptography; signal processing; and privacy and freedom issues |
| Prof D K Arvind | Principles and Design of IoT Systems |
Integration of asynchronous concurrent systems, parallel and distributed computation. |
| Prof David Aspinall | Computer security (particularly proof-carrying code), type systems for specification and programming languages, and proof development environments. | |
| Dr Markulf Kohlweiss | Computer Security |
Formal verification, foundations of cryptography and applied cryptography, especially with regard to privacy-enhancing protocols, blockchains, and cryptocurrencies and the formal verification of protocol implementations |
| Dr Tariq Elahi | Research Methods in Security, Privacy, and Trust |
Computer and network security and privacy-enhancing technologies (PETs), the systematization and the game-theoretic analysis of censorship resistance and circumvention systems, security analysis and designs of anonymous communication systems, and privacy-preserving data collection in privacy-sensitive scenarios |
| Dr Kousha Etessami | Algorithmic Game Theory and its Applications |
Research interests: automated verification, logic, algorithms and computational complexity theory, algorithmic game theory, equilibrium computation, analysis of probabilistic systems, Markov decision processes, stochastic games, automata theory, model checking, analysis of infinite-state systems, finite model theory and descriptive complexity. |
| Dr Heng Guo | Computational Complexity |
Theoretical computer science, algorithms from a complexity perspective, computational counting and sampling |
| Dr Michael Herrmann | Natural Computing |
Autonomous robots, robot swarms, biorobotics, prosthetics, computational neuroscience, self-organised criticality, neural avalanches, neural fields, self-organising maps, metaheuristic optimisation, cognitive psychology, biomedical data processing |
| Prof Aggelos Kiayais | Blockchains and Distributed Ledgers |
Computer security, information security, applied cryptography and foundations of cryptography with a particular emphasis in blockchain technologies and distributed systems, e-voting and secure multiparty protocols as well as privacy and identity management |
| Dr Walid Magdy | Text Technologies for Data Science |
Computational social science, data science, social media, data mining and Arabic NLP |
| Dr Vijay Nagarajan | Parallel Architectures |
Software/hardware collaborative techniques for enhancing performance, programmability, reliability and security of parallel architectures |
| Dr Milos Nikolic | Advanced Database Systems |
Databases and large-scale data management systems: in-database learning, stream processing, incremental computation, query compilation |
| Dr Paul Patras | Internet of Things Systems, Security, and the Cloud |
Adversarial machine learning, network traffic analysis, intrusion detection, IoT security and privacy |
| Dr Kami Vaniea |
Human factors of security and privacy technologies |
|
| Dr Vesselin Velichkov | Introduction to Modern Cryptography |
Symmetric-key cryptography, techniques for cryptanalysis of block ciphers and in tools for automated cryptanalysis, analysis of a special class of cryptographic algorithms based on the operations modular addition, bitwise rotation and XOR (ARX), applied cryptography. |
| Dr Petros Wallden |
Quantum cryptography, quantum computation and quantum information theory |
|
| Dr Maria Wolters | Case Studies in Design Informatics, The Human Factor: Working with Users |
Usable eHealth, human-computer interaction, health informatics, missing data |