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The demand for skilled data scientists continues to surge across industries, from finance and healthcare to technology and e-commerce. This programme positions you at the forefront of this data-driven revolution, making you a sought-after professional in fields where data analytics and insights are paramount for success.
By studying in London you will have prime location to open up numerous employment and career opportunities, thanks to the city's extensive industry connections and vibrant professional network.
You will be trained in the fundamental underpinning of mathematics and modern technologies. Mastering skills in programming such as python, mathematical foundations machine learning and artificial intelligence. Beyond theoretical knowledge, this programme places a strong emphasis on hands-on, practical experience to enhance your professional soft skills. Engage in real-world projects, case studies, and internships that mirror the challenges faced by data scientists in the field.
We expect applications from graduates of Mathematics, Statistics or Data Science and we encourage applications from candidates with degrees in Computer Science, Engineering, Physics and related disciplines where the candidate has experience of mathematics and programming as part of their degree, with a qualification equivalent to a UK BSc with Honours at 2:2 or higher.
Applicants should have had prior learning in probability theory, statistics, linear algebra, multivariable calculus, and optimisation.
The mathematics and programming grades should all be equivalent to UK 60% or higher in the case where the applicant’s background is not in mathematics, statistics, or data science. All candidates should supply a degree transcript with their application evidencing their knowledge as above, alongside a professional reference. You may also be interviewed before the offer decision.
20 hours work permit in a week
Module Title
Applicants whose first language is not English will be required to provide evidence of an English language qualification. Our requirements are:
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