Big data is playing an increasingly important role in our society. The need for expert and ethical 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.
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.
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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.
96.4% of undergraduates from the School of Computer Science secured graduate level employment or further study within 15 months of graduation. The average annual salary for these graduates was £28,895
Core module
Students with background in Computer Science must take 60 credits from the following list of modules
Students without a background in Computer Science must start with
And are then required to obtain 40 credits from the remaining list of Computer Science modules:
Students without a background in Mathematical Sciences must start with
And are then required to obtain 40 credits from the following list of Mathematical Science modules
Students with a background in Mathematical Sciences must start with
And are then required to obtain 40 credits from the following list of Mathematical Science modules
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