Study Details: MSc 1 year full-time
This course produces computational and mathematical engineers with a focused specialism in data science, equipped to make significant contributions to their career field and society as a whole.
The course builds upon your existing skills in computer science (coding, cloud computing, basic machine learning) and mathematics (linear algebra, probability, statistics and calculus). It will develop your training in the field of data science and allow advanced study into a range of specialised domains such as autonomous systems, computer vision, user experience, and advanced software engineering.
Your study is underpinned by three integrated strands which develop mathematical foundations, computational thinking, and engineering skills. It is the holistic combination of these three areas that make graduates attractive to employers.
You'll develop the technical skills needed to critically analyse, mine, and manage different kinds of data in order to learn and discover interesting patterns. The course teaches you how to make actionable conclusions from those assessments, while participating effectively in multidisciplinary teams. You'll also benefit and learn from the Department's expertise in trustworthy systems.
Your study culminates in a focused research project in the field of data science which develops the skills to contribute professionally to solving complex commercial and industrial engineering problems.
2:2 or equivalent undergraduate degree in Computer Science or a related field, obtained within the last five years. The degree should have modules in programming, mathematics, and algorithms or data science
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Skills for employability are embedded throughout the programme, with many opportunities for you to return to these during the course. Industrial case studies are used in several modules. Many modules use real-world data sets to inform and motivate the material presented. Several optional modules will have invited talks from graduate employers.
Career opportunities
Core modules
Research Methods in Computer Science
Foundations of AI and Machine Learning
Professional and Academic Development
Cloud-Based Data Analysis
Intelligent Systems: Probabilistic and Deep Learning
Governance of Data Science
Our modules may change to reflect the latest academic thinking and expertise of our staff, and in line with Department/School academic planning.
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