MSc Advanced Computer Science with Data Science

If you're ready to specialise and push your computing expertise to an advanced level, the MSc Advanced Computer Science with Data Science,  at the University of Strathclyde is designed to give you a deep, practical, and research-led edge. 

This programme is built around hands-on experience with the technologies shaping the future of the field:

• Specialist Research Laboratories: You will have access to our suite of specialist research labs, including our Security Laboratory (for secure computing and digital forensics work) and our Robotics Laboratory, providing a practical environment to experiment with and develop advanced systems.

• High-Performance Computing (HPC) Resources: Gain direct, hands-on experience with our High-Performance Computing cluster, a vital tool for processing large-scale data and running complex computations essential for research in areas like data science and AI.

• Industry-Standard & Research Software: You will work with a suite of professional and research-grade tools, which include platforms like Hadoop and Spark for big data analytics, TensorFlow or PyTorch for machine learning, and specialised tools for areas such as semantic web technologies and natural language processing.

• Group Projects & Team-Based Learning: A core part of the Strathclyde experience is collaborative team-based projects. You'll work with peers to tackle substantial software and research challenges, developing not just your technical skills but also the project management and teamwork abilities valued by employers.

• Individual MSc Project: The programme culminates in a significant individual research project. This is your opportunity to work alongside our academics, often within our research groups, to contribute to a real-world problem in depth, building a impressive portfolio piece.

Graduates of the MSc Advanced Computer Science with Data Science at the University of Strathclyde emerge with advanced skills to address challenges in data analytics, machine learning, and software engineering, securing roles across diverse sectors including finance, healthcare, and technology. They typically advance into positions like Data Scientist, Machine Learning Engineer, Software Developer, and Cybersecurity Analyst, demonstrating strong practical and analytical capabilities:

• The university’s Careers Service supports students with tailored career guidance, employer networking events, industry collaborations, placement opportunities, and specialist workshops focusing on the computing and data science job market.

• Graduate employability rates are high, with many securing jobs within months of graduation; starting salaries range approximately between £30,000 and £55,000 depending on the role, industry, and experience level.

• Strathclyde collaborates with industry leaders like JP Morgan, Adimo, and JWF, facilitating live projects, internships, recruitment events, and guest lectures, enhancing students' employability and real-world experience.

• The MSc program benefits from the department's strong reputation and accreditation, emphasizing both technical excellence and professional readiness for data science and AI careers.

• Graduates acquire expertise in big data tools, machine learning algorithms, software engineering, ethical issues in data science, and business analysis, preparing them for impactful roles in organizations.

Further Academic Progression:
Students can pursue doctoral studies (PhD) in Data Science, Artificial Intelligence, Machine Learning, or related fields at Strathclyde or other leading institutions, engaging in advanced research and innovation. Other paths include postdoctoral research, interdisciplinary collaborations, and professional development through certifications in advanced analytics and cybersecurity.