国际学生入学条件
A first degree, with honours, at a minimum final classification of Lower Second (2:2) or equivalent.
If English is not your first language you will be expected to demonstrate a certificated level of proficiency of at least IELTS 6.5 (Academic level- with no individual score being lower than 5.5) or equivalent English Language qualification, as recognised by Anglia Ruskin University.
IELTS 6.5 with 5.5 in each element.
TOEFL iBT with 88 overall and a minimum of 17 in Writing and Listening, 18 in Reading and 20 in Speaking.
展开
IDP—雅思考试联合主办方

雅思考试总分
6.5
了解更多
雅思考试指南
- 雅思总分:6.5
- 托福网考总分:88
- 托福笔试总分:160
- 其他语言考试:Pearson PTE with 61 overall and a minimum of 59 in all components.
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
Master advanced data science tools and techniques and learn to apply them across a range of industries, with our Applied Data Science conversion degree in Cambridge. Study in the Silicon Fen, known for its tech innovation, and take advantage of ample career opportunities in data science within a vibrant and diverse industry hub. Gain skills in vital areas like data mining, machine learning, and statistical modelling, ensuring a well-rounded grasp of data science. Engage with real-world cases and industry projects that equip you with practical skills aligned with current industry needs. Transition into data science whatever your experience no computing or data-related degree required. Experience hands-on learning, including projects and in-depth exploration, fostering practical application of data science principles.<br><br>Data science promises to enhance technology, business models, and decision-making across a range of sectors from manufacturing to social care, and cyber security to banking. There's strong demand for data scientists. Our Applied Data Science Masters degree will give you the knowledge and analytical skills you need to join this rapidly growing sector. As it's a postgraduate conversion course, you dont need a degree in computing or data science to apply. Study at ARU in the centre of Cambridge, and benefit from a week-long placement as part of your course.<br><br>By studying at ARU, youll gain highly marketable skills such as programming, data acquisition and cleaning, data analysis and feature extraction, data visualization, data mining, and machine learning. Youll become proficient in advanced data science tools and techniques too such as deep learning and predictive models and learn about artificial intelligence.<br><br>And finally, youll complete a data science research project, based on your real-life experiences of working in a part of our University.<br><br>Were always focused on the needs of industry and the real-world application of data science. And so, we incorporate real datasets and industry-simulated projects into our course modules. Youll find this helps you to understand the challenges and constraints that organisations face and hone your skills and expertise accordingly.
展开