關於課程
If you’re a graduate in a subject that’s not related to computer science, this MSc will complement your first degree and prepare you to meet the high demand for professionals in data science and AI technologies.
With the roots of data science embedded in mathematics, we’ll start year one by introducing you to linear algebra, differential calculus, probability theory and statistics. This will prepare you for working with data mining algorithms and experimenting using real-world data.
You’ll receive an overview of how to design and create software, including an intensive introduction to programming, and explore key topics in AI. We’ll also provide a thorough grounding in how to plan and conduct research.
Further opportunities to specialise and enhance your knowledge of big data, web programming, bio-inspired algorithms and modern information systems are available through a range of optional modules.
In year two, you’ll undertake an industrial project in a real-world environment as part of an extended placement opportunity.
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開始日期及學費
如何申請
Entry requirements for 利物浦大學
a high 2:1 Bachelors Degree with Honours (or above), and be expected to have the majority of module marks in this range, in a subject other than Computer Science (or subject closely related to Computer Science). This includes students with first degrees from near-STEM, far- STEM and even non-STEM subjects.
IELTS - Overall 6.5 (with a minimum of 6.0 in each component), TOEFL iBT - 88 or above with minimum scores in components as follows: Listening and Writing 21, Reading ? 22, Speaking 23. International Baccalaureate - Standard Level 5
English language requirements
托福(TOEFL iBT)總分: 88.0
最後申請期限:
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