学历文凭
Masters Degree (Taught)
专业院系
数学科学
开学时间
课程时长
课程学费
国际学生入学条件
Those who have been awarded an upper second class honours or higher in the Higher Diploma in Statistics are eligible for the programme.
Alternatively students may qualify for enrolment for the four semester MA in Statistics which brings them to the same level as the MSc in Statistics.
Applicants whose first language is not English must also demonstrate English language proficiency of IELTS 6.5 (no band less than 6.0 in each element), or equivalent. A minimum score of 600 in TOEFL (250 computer based with test of written English at 475+) Toefl A minimum score of 90 is required in the Internet based TOEFL (iBT) with no less than 21 in writing and at least 19 in every other section.
IDP—雅思考试联合主办方
雅思考试总分
6.5
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- 雅思总分:6.5
- 托福网考总分:90
- 托福笔试总分:600
- 其他语言考试:Pearson English Language Test (Academic) - Minimum of 63 and at least 59 for each item in the Communicative Skills section.
课程简介
The goal of the UCD MSc Statistics is to train the new generation of Data Scientists, by empowering them with a broad range of foundational and applied skills in statistics and machine learning.<br><br>This programme is aimed at students who have an undergraduate degree in statistics or in a related numerate degree, such as economics, finance, mathematics, physics, engineering, computer science, among others.<br><br>The MSc Statistics is ideal for students interested in data science careers in industry, business, government, or to those interested in pursuing a subsequent PhD in statistics or related areas.<br><br>In this programme, you will learn how to design, use and interpret a variety of statistical modelling tools, combining the fundamental theory of statistics with modern computational techniques. The programme in underpinned by several thematic areas,<br><br>- Data Science: in several of our modules, you will tackle modern real-world problems, using a variety of advanced techniques that are common in statistics and machine learning. Modules examples, Statistical Machine Learning, Data Mining, Advanced Predictive Analytics.<br><br>- Computing: you will learn how to design and implement efficient algorithms, through various data science programming languages and software that are commonly used in industry and research, Modules examples, Data Programming, Optimisation, Machine Learning with Python.<br><br>- Fundamental Theory: you will cover the fundamental aspects of mathematical statistics and learn how this is used in data science to develop new methods and concepts. Modules examples: Mathematical Sciences, Multivariate Analysis, Stochastic Models.<br><br>- Communication: you will learn how to study and interpret statistical analyses, and also how to effectively communicate your conclusions. Modules examples, Technical Communication, Applied Statistical Modelling, DIsseration.
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在校学习
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校园授课-线上开始
在线/远程学习
学校排名
世界排名
201
数据源:泰晤士高等教育世界大学排名
关于都柏林大学
都柏林大学学院(UCD)是爱尔兰最国际化、最多元化的大学。都柏林大学学院位于充满活力的首都都柏林,是来自 144 个不同国家的 10400 多名留学生的首选大学。UCD 在全球高等教育机构中排名前 1%。在 2023 年 QS 世界大学排名中,都柏林大学名列世界第 181 位。它被认为是欧洲顶尖的研究密集型大学之一。该大学的课程组合和提供的全面体验吸引着学生。在 UCD,有无数的俱乐部和社团供学生加入,每个人都可以在这里探索自己的兴趣并结交新朋友。这一点,再加上友好的校园环境,为那些希望出国留学的学生提供了无与伦比的体验。都柏林大学的主校区位于都柏林的贝尔菲尔德,占地 133 公顷,是一座美丽的公园式庄园,其对可持续发展的庄重承诺,是许多学生选择该校的另一个因素。在 QS 世界大学可持续发展排名中,UCD 名列前 50 位,是爱尔兰排名最高的大学,在欧洲排名第 24 位。在 UCD 学习的国际学生可以欣赏到爱尔兰现代化城市与数千年丰富历史和文化背景的鲜明对比。爱尔兰是本科生和研究生学习的理想目的地,爱尔兰的教育体系在全球排名前十。UCD的毕业生在政府、产业界、非政府组织和世界各地的机构中都非常受欢迎,该校 93% 的毕业生在完成学业后的六个月内就业或攻读研究生课程。作为世界上最开放、与全球联系最紧密的国家之一,爱尔兰提供了进入世界市场的重要机会。除了欧盟和欧元区成员国的身份之外,爱尔兰的地理位置还意味着它可以提供与全世界便捷的国际联系。
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