MSc Cyber Security

If you're aiming to become an expert at the very forefront of computer science, the MSc Advanced Computer Science at the University of Manchester is designed to give you an unrivalled depth of knowledge and a serious practical advantage. This programme allows you to dive into the most advanced and specialised topics, from AI and data engineering to cybersecurity and high-performance computing. You'll be learning in the home of the world's first stored-program computer, based in the Department of Computer Science, which is packed with specialist labs and has an outstanding reputation for research that shapes the future of the field.

Your learning is built around applying pioneering research to solve complex, real-world challenges:

• Specialist Research Laboratories: You will have access to our suite of specialist labs, including the Data Engineering and Science Lab, the AI and Robotics Lab, and the Cyber Security Lab. These facilities are equipped with cutting-edge technology, from high-performance computing clusters to specialised hardware for secure systems and intelligent machines.

• Industry-Standard & Research Software: You will gain hands-on experience with the tools that drive global innovation. This includes data science platforms like Apache Spark and Hadoop, machine learning environments like TensorFlow and PyTorch, and professional-grade tools for software engineering, verification, and simulation.

• Research-Led Teaching & Group Projects: You'll be taught by world-leading academics from research groups like the Advanced Processor Technologies and AI groups. A core part of your experience will involve collaborative projects, tackling challenges that are directly aligned with the department's pioneering research.

• Substantial Individual MSc Project: The programme culminates in a significant six-month individual research project. This is your opportunity to work deeply on a specialist topic of your choice, often embedded within one of our active research groups, to create a substantial and impactful piece of work for your professional portfolio.

• High-Performance Computing (HPC) Resources: For projects requiring immense computational power, you will have the opportunity to utilise the University's High-Performance Computing resources, including the national-scale CSD3 facility.

Graduates of the MSc Data Science at the University of Edinburgh are well-prepared for high-demand roles in technology, finance, healthcare, and research, with a strong record of employment at leading companies. Typical career options include Data Scientist, Machine Learning Engineer, Data Analyst, and Business Intelligence Developer, reflecting the program’s alignment with industry needs and its robust technical training. Student outcomes are enhanced thanks to dedicated university resources and strategic partnerships:

• Careers Service offers targeted workshops, CV clinics, employer networking, and recruitment events through the School of Informatics.

• Placement rate for University of Edinburgh graduates is 91%, with starting salaries for Data Science MSc alumni typically ranging from £35,000–£50,000 per year.

• Partnerships with tech leaders such as Amazon, Microsoft, and IBM provide internships, dissertation collaboration, and networking opportunities.

• BCS accreditation delivers long-term professional recognition and support for chartered status in data science.

• Graduates are recruited by global employers including Facebook, Google, and prominent consulting firms.

Further Academic Progression:
Students completing this MSc can pursue doctoral study (PhD) in Data Science or Informatics at Edinburgh or other leading institutions, or opt for specialized research fellowships and advanced professional certifications in AI, machine learning, or computational statistics.