Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: MSc 2 years full-time including placement year
Develop a strong foundation in the theory and practice of data science and specialist skills in statistics ready for a career in industry.
Data science is vital to the global economy and scientific progress across numerous fields from bioscience, to energy and telecommunications. We'll provide you with the practical tools and mathematical foundations to standout to industry experts.
This course is designed for graduates in highly numerate disciplines who would like to build on a foundational knowledge of statistics and develop skills in machine learning and data science. It provides training in programming, machine learning and applied statistics that will give you the skills and knowledge to challenge real-world data using more advanced analytical techniques.
You should have a first or strong second-class undergraduate degree or equivalent international equivalent.
To apply for this course, your undergraduate degree should be in a subject that incorporates a substantial mathematical element such as mathematics, statistics, computer science, physics, chemistry, engineering or economics. Experience of computer programming would also be advantageous.
We will also consider other subjects, for example geography or biology, which may meet the criteria depending on their specific mathematical and computing content.
We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree.
For fees and funding options, please visit website to find out more
After graduating, you'll be well placed for a variety of careers in data science - from large-scale commercial enterprises, to innovative tech start-ups. Alongside the specialist skills and knowledge you'll gain, our dedicated careers team offers individual guidance and help you decide between employment and further study.
Recent graduate roles include data scientists and machine learning developers.
Year 1
Semester 1
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Semester 2
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Summer
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Year 2
Semester 1
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Semester 2
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Tue 14 Jan 2025