国际学生入学条件
A Level AAA including A level Mathematics or Further Mathematics OR AAB including A level Mathematics and Further Mathematics. IELTS 6.0 overall with at least 5.5 in each component.International Baccalaureate 36 points overall with 16 points from the best 3 Higher Level subjects including 6 in Mathematics HL
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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:60
- 托福笔试总分:160
- 其他语言考试:Pearson PTE Academic 55.
CRICOS代码: G302
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
统计学关注数据处理的基本和高级概念,我们的统计学家成为数据收集,分析和表示的专家。这是一个引人入胜的学习计划,而我们在卓越研究中的声誉意味着我们能够提供由其领域的领导者提供的高质量教学。在第一年,您将以对数学方法和概念的先前知识和理解为基础。模块涵盖了从微积分,概率和统计到逻辑,证明和定理的广泛主题。除了发展您的技术知识和统计技能外,您还将增强数据分析,解决问题和定量推理的能力。为了为您的第三年职业生涯做好准备,您将参加“职业生涯准备”模块,该模块提供有关编写简历,寻找职业生涯和面试技巧的指导。在第二年,
Statistics is concerned with the fundamental and advanced concepts of data handling and our statisticians become experts in data collection, analysis, and presentation. This is an engaging programme of study and our reputation for excellence in research means that we are able to offer high-quality teaching delivered by academics who are leaders in their field. During your first year, you will build on your previous knowledge and understanding of mathematical methods and concepts. Modules cover a wide range of topics from calculus, probability and statistics to logic, proofs and theorems. As well as developing your technical knowledge and statistical skills, you will also enhance your data analysis, problem-solving and quantitative reasoning skills. To prepare you for your third year placement, you'll undertake the Preparation for Placement module which provides guidance on writing your CV, finding a placement and interview techniques. In the second year, you will further develop your knowledge in analysis, algebra, probability and statistics. You will also be introduced to Computational Mathematics, exploring the theory and application of computation and numerical problem-solving methods. While studying these topics, you will complete our Project Skills module, which provides you with the chance to enhance your research and employment skills through an individual and group project. Additionally, you will gain experience of scientific writing, and you will practise using statistical software such as R and LaTeX. In Lent term you'll complete the Work Based Learning Preparation module which covers topics such as workplace structures, handling difficult conversations and the importance of being a reflective practitioner. In third year you will undertake a 12 month placement which will allow you to apply the knowledge and skills that you?ve learnt in Years 1 and 2, and to gain invaluable experience which will make you highly employable when you graduate. Our Faculty Placements Team and Careers service will support you in securing your placement, which will be of graduate level, and will continue to support you throughout the year to ensure that you are getting the most out of your year away from Lancaster. As well as your paid employment, you will submit monthly learning logs reflecting on your experience. Your final year offers a wide range of specialist optional modules, allowing you to develop and drive the programme to suit your interests and guide you to a specific career pathway. You will have the chance to apply the skills and knowledge you have gained in the first two years in advanced statistical modules, such as Likelihood Inference, Bayesian Inference, Medical Statistics and Multivariate Statistics. Looking back at your placement year, you will also complete a portfolio of work-based learning reflections such as the skills you?ve developed and the experiences you?ve had, and how this has impacted upon your future aspirations. Duration - 4-year course, Full time Sandwich year.
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