關於課程
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.
The MSc Statistical Data Science 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.
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 is underpinned by several thematic areas:
- Data Science: in several of our modules, you will tackle on 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.
- 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.
- 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 Statistics, Multivariate Analysis, Stochastic Models.
- 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, Dissertation.
DURATION:1 Years
NEXT INTAKE:2024/2025 September
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Entry requirements for 都柏林大學
Graduates with an undergraduate degree in Business, Finance or any degree with a significant quantitative element (such as engineering, physics or mathematics) are eligible to apply to this programme. Applicants may be asked to undertake the GMAT or GRE at the Programme Director’s discretion. Two completed academic reference forms from referees who can assess applicant's maturity, motivation
and intellectual ability. Ielts - A minimum overall score of 7.0 over all components and a minimum of 6.0 in each band on the Academic Version. The non-academic version is not accepted. Taught Master's: A minimum score of 100 is required in the Internet based TOEFL (iBT) with a score of at least 20 in each section.
English language requirements
托福(TOEFL iBT)總分: 90.0
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