Imparte:
Bournemouth UniversityExplore the frontiers of technology with our advanced MSc Computer Science, equipping you with expertise in cutting-edge fields and preparing you for leadership roles in a rapidly evolving digital landscape.
A Bachelors Honours degree with 2:2 in any subject, or equivalent.
If English is not your first language you´ll need IELTS 6.0 (Academic) with minimum 5.5 in writing, speaking, listening and reading.
Advanced Technical Expertise: Gain a deep understanding of emerging technologies and scientific approaches, positioning you at the forefront of innovation
Interdisciplinary Skills: Develop a versatile skill set that spans quantum computing, AI, cybersecurity, and network science, enabling you to tackle complex challenges across various industries
Research and Innovation: Cultivate strong research skills and methodologies, preparing you for advanced roles in research, development, and innovation
Real-World Applications: Apply your knowledge to solve real-world problems, bridging the gap between theory and practical applications in diverse fields
Ethical and Responsible Practice: Develop a strong ethical foundation, ensuring you make informed and responsible decisions in the field of computer science
Career Versatility: Open doors to a wide range of career opportunities in industries such as healthcare, energy, transport, and more, aligning with the UK´s commitment to a quantum-enabled economy by 2033.
Cyber Threat Intelligence: This unit introduces Cyber Threat Intelligence (CTI) and its role in modern cybersecurity, teaching learners to identify, analyse, and respond to cyber threats using various tools and techniques. It covers types of CTI, information sources, improving organizational security, and legal and ethical considerations.
Computational Modelling: This unit aims to provide learners with a comprehensive understanding of advanced computational modeling techniques and their applications in complex systems. It explores the evolution from traditional to data-driven methods using machine learning and neural computation, and discusses state-of-the-art tools for modeling systems as complex as the brain, including their applications and limitations.
Quantum Computing: This unit aims to provide learners with a critical understanding of quantum computing and its applications for solving complex problems beyond classical capabilities. Learners will gain practical knowledge and skills in quantum computing, algorithms, and information, as well as tools and techniques to design and execute quantum circuits on simulators.
Efficient and Edge AI: This unit aims to provide learners with a comprehensive understanding of efficient and edge AI technologies, including principles, methodologies, and applications. Learners will focus on optimizing the efficiency and performance of edge AI systems, understanding implementation challenges and opportunities, and designing and implementing effective edge AI solutions.
Network Science: This unit aims to provide learners with a strong understanding of network science theories and methods to critically assess and discover hidden structures in real-world networks. Learners will conduct network analysis on various empirical networks and apply appropriate concepts and algorithms to extract insights from networks with specific purposes or functions.
Research Methods in Computer Science: This unit aims to equip learners with proficiency in research methodologies essential for Computer Science. Learners will master various research methods and design techniques, formulate research plans for diverse stakeholders, and explore ethical considerations. The unit also prepares learners for writing project proposals and conducting and disseminating their Master´s project.
Option Units
Cloud Computing
Blockchain & Digital Futures
Cyberpsychology
Persuasive Technology & Behaviour Change
Accessibility & Assistive Technology
Work in an area of growth within this important subject area with employment opportunities constantly evolving. This course allows graduates without IT qualifications the chance to enter the business computing profession.