For more information about Data Science at City, University of London, please visit the webpage using the button above.
How long you will study
4 - 5 years
Domestic course fees
GBP 9250 per year
How you will study
International course fees
GBP 16250 per year
Who is it for?
This degree is suitable for those who would like to develop creative computational solutions to derive the data-intensive transformation that is reshaping the way our society operates. It will build your foundational skills within computer science, such as algorithmic thinking and programming, and develop the specialist data scientists skills needed for the extraction of actionable insight from complex data collections.
You should have a strong interest in technologies that produce and analyse data and will need to develop computational solutions for the acquisition and analysis of data, and use creative problem-solving skills to extract knowledge that can answer challenging questions in a domain of investigation.
Data Science is a multidisciplinary domain that requires training in a wide-range of skills from programming to visualisation, to data analysis. The demand for data scientists in the UK has grown more than ten-fold in the past five years *. This programme aims to equip you with both strong foundational computer scientist skills and specialised data scientist skills. This powerful combination of computing and analytics will provide you a skill set that will be widely applicable not only within the computing industry but also in various application domains, from retail to health.
As a student on this course you will have to opportunity to:
Acquire leading-edge knowledge, skills and techniques required by the data science profession
Become proficient in a broad range of programming languages and software design techniques
Work with and learn from active researchers in machine learning, high-performance computing and data visualization
Apply your knowledge and skills to develop solutions within data-intensive application domains.
*IT jobs watch
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