Goldsmiths, University of London · Full-time
Data Science and Artificial Intelligence
The MSc Data Science and Artificial Intelligence will provide you with a deep understanding of cutting-edge Artificial Intelligence techniques and the practical skills to implement data analytics using AI. - The rate at which we can create data is rapidly acce…
Masters1 yearFull-time
Browse computer science courses in UK
Computing · Computing
The MSc Data Science and Artificial Intelligence will provide you with a deep understanding of cutting-edge Artificial Intelligence techniques and the practical skills to implement data analytics using AI. - The rate at which we can create data is rapidly accelerating. Ranging from biomedical data to monitoring climate change, this sector has never been more important. Artificial intelligence can play a key role in understanding how this data can create positive change. - The MSc Data Science and Artificial Intelligence will provide you with statistical, computational, and data analysis skills. - We’ll explore the exciting possibilities that artificial intelligence can have on the area of data science and analysis. - You’ll be grounded in the basics, learning the mathematical foundations of statistics, data mining and machine learning, and apply these to practical, real-world data. - You’ll gain the computational techniques needed to efficiently analyse very large data sets. - You’ll apply Natural Language Processing and Deep Learning methods to a range of real-world data. - You’ll learn under the guidance of experts in health analytics, neuroscience, finance, business, and management. - This degree is interdisciplinary and you’ll benefit from the expertise of both the School of Computing and the School of Creative Management to learn skills in computer science, mathematics, economics, finance, business, and marketing. - We have strong links with industry, and you’ll regularly learn from guest speakers across the Data Science sector. - You’ll use industry-standard software such as Apache, Hadoop, R and Spark to analyse data from industries such as biomedical, financial, and social media. - Your learning will be put to the test with a final project in your area of specialist interest. You’ll carry out original research on real-world data.
Getting in
As the university states it
You’ll gain a strong foundation in data science and specialist knowledge in a particular field. We do not assume that you’ll have programmed before, but we do require a level of mathematical dexterity that is commensurate with having completed a numerate degree. A BA or BSc Degree at 2.2 level or above in a subject like computer science, mathematics, statistics, engineering, or quantitative subjects like economics and finance. We accept a wide range of international qualifications. If English isn’t your first language, you will need an IELTS score (or equivalent English language qualification) of 6.5 overall and no element lower than 6.0 to study this programme.
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Course details as published by the university. No graduate-outcome statistics are published for UK postgraduate courses, so none are shown.