Enter OTP
This course is designed for students who have computing, STEM experience or prior experience in working with data (e.g. statistics), to gain the knowledge and skills required to work in data science or data analytics in the real world. We are looking for people who ask questions, who don’t jump to conclusions, and who respond with caution. We want people who are able to find and communicate the best possible solutions. On this course, you'll study subjects including the fundamentals of data science, data mining, machine learning, data analytics and visualisation, and security of big data. In addition, you'll have the opportunity to undertake a placement (subject to availability) and put your skills into practice, enhancing your employability. You can find your own placements or develop professional practice projects, working in our Digital Incubator or research-based projects with one of our academic research teams. This highly practical course means you’ll have the opportunity to experience the latest technologies and tools used in industry, giving you the confidence to b
An honours degree (2:2 or above) or equivalent in a computing or related non-computing discipline (mathematics, statistics, engineering) or an honours degree (2:1 or above) in relevant non-computing or related degree (degree which has numeracy included and/or application of big data as a significant theme). IELTS of 6.0, with at least 5.5 or higher in each component: reading, writing, listening and speaking.
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University of Sunderland
