Study Details: MSc Full-time: 12 months
Big data is playing an increasingly important role in our society. The need for expert and ethically-informed data analysis is in high demand across many industries. This course gives you the professional and problem-solving skills for a range of high-level careers.
This interdisciplinary masters will be taught by the Schools of Computer Science and Mathematical Sciences. Our academics conduct their own international-quality research. They use this to teach you the latest techniques and technologies in this field.
Develop your knowledge in key topics such as statistical modelling, machine learning and advanced algorithms. We offer a range of flexible optional modules. This allows you to study a topic that interests you.
2:1 (or international equivalent) with evidence of an interest or aptitude in mathematics and computing. Graduates from other fields, with strong mathematics and/or computation background will be considered with 60% average mark.
This course prepares you for careers in advanced software development, particularly where reliability and efficiency are vital requirements. Graduates are likely to assume leading roles in major software-development projects in one of the areas of specialisation.
This course also provides an excellent foundation for further study and you may decide to progress to a PhD in order to continue your research.
Core module for all students
Project in Advanced Algorithms and Data Structures can be taken as a 20 credit module that includes an individual project, or as a 10 credit module without an individual project.
Students without a background in Computer Science must start with:
And are then required to obtain between 20 and 60 credits from the remaining list of Computer Science modules:
Mathematical Sciences modules
Students without a background in Mathematical Sciences must start with:
Students with a degree in Mathematical Sciences or equivalent are required to obtain 40 to 80 credits from the following list of Mathematical Science modules:
Note: choice of modules may be limited by timetabling requirements.
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