国际学生入学条件
AI pathway: A 2:2 honours degree in any discipline or three years of professional work experience in a role which has required you to work and interact with a range of people requiring a regular element of problem-solving.
Fintech pathway: A 2:2 honours degree in addition to a background in finance (e.g. an undergraduate degree in a finance-related subject such as Accountancy, Finance, Economics or Business Management) or three years of professional work experience in a finance role.
IELTS - 6.0 with no banding below 5.5.
TOEFL IBT - Overall 80, Reading - 20, Listening - 18, Speaking - 21, Writing - 19, PTEAcademic - 64
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雅思考试总分
6.0
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雅思考试指南
- 雅思总分:6
- 托福网考总分:80
- 托福笔试总分:160
- 其他语言考试:PTEAcademic - 64
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
This course will create graduates with a sound understanding of the theory and practice of AI in industry. As a conversion course we will assume all students are starting fresh with no experience of computer programming and little experience of using mathematics or statistics in their undergraduate programmes or in work. We will begin by creating a foundation in programming and mathematics upon which we will build the expertise in several key areas of artificial intelligence, going from your first Python code and basic algebra right through to Deep Learning. The core applied areas of data science that will be taught will include: Data Visualisation and Interpretation - Analysis that cant be properly interpreted, explained and understood is a waste of time from a commercial point-of-view. We will teach you how to generate attractive and interpretable visualisations and tell the story of whatever data youre working with to a range of audiences, Image Analysis - Machine learning has shown incredible results recently in understanding the themes of images and video which are being applied in a range of commercial settings, from security and driverless cars, to online clothes shopping, Natural Language Processing - Being able to understand speech and text is one of the cornerstones of artificial intelligence systems. Chatbots built on AI are appearing all over the internet, but more than this technology giants are searching for ways that machines can have detailed conversations with one-another and to be able to read and understand text documents and Time Series - Dealing with dynamic data is vital to AI systems in finance, AI and defence, whether predicting the future of stock prices to predicting patient outcomes in ICU and how a virus outbreak will permeate through a population. A strong focus on technology monitoring and ethics will be taught in a way to suit learners from all backgrounds. The masters project will have an industrial route for learners who want to work on an applied project with a corporate partner and there will be a route for graduates to undertake a professional placement or to go on to a doctoral research programme.<br><br>We know that employers are looking for graduates who have a good balance between in-depth academic knowledge and technical and practical expertise, which is why our course is geared towards employability.<br>What you learn on our course will help you to stand out when you look for your first professional role. Because you will know how to use sophisticated, industry-standard software, you will be able to demonstrate that you can put into practice your deep theoretical knowledge.
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