The MSc Data Science at Aberystwyth University is a one-year full-time (or part-time) interdisciplinary course designed to develop in-demand skills in big data, data analytics, machine learning, and intelligent systems.
It is open to graduates from any discipline, making it ideal for those looking to switch to or progress within the data science field.
The program integrates practical data handling, relational modelling, system security, and the ethical management of data, supporting applications across industries such as business, government, public health, and science.
Course Overview:
Core: Advanced Data Analytics, Machine Learning for Intelligent Systems, Modelling, Managing and Securing Data, Statistical Concepts, Methods and Tools, Statistical Techniques for Computational Scientists
Optional: Fundamentals of Intelligent Systems, Programming for Scientists, Dissertation
Teaching: Delivered through lectures, student seminars, and practical exercises with approximately 12 hours of contact time per week.
Assessment: Assessed via written assignments, programming tasks, practical portfolios, practical exams, written exams, and a dissertation project.
Hands-on experience through practical exercises, programming assignments, and real-world datasets.
Individual supervised dissertation project (60 credits) in the third semester.
Development of system security, cryptography, and relational modelling skills.
Emphasis on legal, social, and ethical aspects of data science.
Access to Aberystwyth’s industry-focused careers fairs and dedicated career support.
Opportunities for interdisciplinary collaboration and practical application across sectors.
Practical portfolios, problem-solving exercises, and applied statistical techniques.
Skills in Python, data management, analytics, and intelligent systems.
Graduates are well-prepared for roles in data science, analytics, research, and product management across various sectors.
The program supports career advancement in both private and public sectors, or entrepreneurship.
Provides a solid foundation for further academic study or PhD research in Data Science, Artificial Intelligence, or related fields.
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