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Goldsmiths, University of London: Data Science and Artificial Intelligence
| Institution | Goldsmiths, University of London View institution profile |
|---|---|
| Department | Computing |
| Web | https://www.gold.ac.uk/ |
| Study type | Taught |
Summary
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. The pace at which we produce data is rapidly outstripping our ability to analyse and use it. These enormous quantities of data hold the keys to success across many domains, and artificial intelligence can play a key role in understanding how this data can create positive change.
Why study MSc Data Science and Artificial Intelligence - The MSc Data Science and Artificial Intelligence will provide you with statistical, computational, and data analysis skills.
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We’ll explore the exciting possibilities that artificial intelligence can have on the area of data science and analysis.
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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.
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You’ll gain the computational techniques needed to efficiently analyse very large rata sets.
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You’ll apply Natural Language Processing and Deep Learning methods to a range of real-world data.
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You’ll learn under the guidance of experts in health analytics, neuroscience, finance, business, and management.
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This degree is interdisciplinary and you’ll benefit from the expertise of both the Department of Computing and Institute of Management Studies to learn skills in computer science, mathematics, economics, finance, business, and marketing.
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We have strong links with industry, and you’ll regularly learn from guest speakers across the Data Science sector.
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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.
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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.
Master of Science - MSc (PG)
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 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 2.1 level or above in a subject like computer science, mathematics, statistics, engineering, or quantitative subjects like economics/finance. If English isn’t your first language, you will need an IELTS score (or equivalent English language qualification) of 6.5 with a 6.5 in writing and no element lower than 6.0 to study this programme. |
| Location | Goldsmiths, University of London New Cross London SE14 6NW |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 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 2.1 level or above in a subject like computer science, mathematics, statistics, engineering, or quantitative subjects like economics/finance. If English isn’t your first language, you will need an IELTS score (or equivalent English language qualification) of 6.5 with a 6.5 in writing and no element lower than 6.0 to study this programme. |
| Location | Goldsmiths, University of London New Cross London SE14 6NW |
An incubator for ideas
Creativity has always been the hallmark of Goldsmiths. Academic excellence and imaginative course content combine to make a place where creative minds can thrive and ideas are allowed to grow.
Our courses and research activities span the creative arts, humanities, social sciences, cultural studies, computing, business and management across 18 academic departments.
A world leader in new knowledge
Our academics cooperate across disciplines to create exciting new courses and develop novel approaches to research issues. Our interdisciplinary approach has helped us to become a national leader in many subject areas.
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