This programme is intended for applicants with a degree in a numerate subject. An upper second class honours or international equivalent is required. Those without this requirement, but with equivalent experience in industry, will also be considered on a case by-case basis, or can apply for the Professional Certificate in Mathematics for Data Analytics and Statistics which leads directly into the Data Science programme.
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 of the Academic version), or
School of Mathematics and Statistics Application Process FAQ
These are the minimum entry requirements – additional criteria may be requested for some programmes
Demonstrate in-depth knowledge of the key skills required by a practicing data scientist, including data collection methods, statistical method development, knowledge and application of machine learning and AI techniques Ability to present technical material at a level appropriate for any audience Proficiency in data science programming in R and Python The ability to create scientific visualisations to explore, summarise, and interpret complex datasets Approach problems in an analytical, precise and rigorous way Model a broad variety of real-world problems in a statistical framework Prove ability to build and maintain web-based data science applications Data Science graduates are in strong demand from industry; those who are successful in completing the course are highly employable in fields as diverse as pharmaceuticals, finance and insurance, as well as cloud computing. Some examples of prospective employers include: ICT companies (e.g., Google, eBay, Meta, Amazon, Paddy Power) The pharmaceutical industry (e.g., Janssen, MSD, GSK) The financial services industry (e.g., Bank of Ireland, AXA, EY, Accenture, Deloitte) Below is a list of all modules offered for this degree in the current academic year. Click on the module to discover what you will learn in the module, how you will learn and assessment feedback profile amongst other information. Incoming Stage 1 undergraduates can usually select an Elective in the Spring Trimester. Most continuing undergraduate students can select up to two Elective modules (10 Credits) per stage. There is also the possibility to take up to 10 extra Elective credits.
| QS 综合 | 院校 | 学制 | 学费 |
|---|---|---|---|
| 第 8 位 | 伦敦大学学院University College London | 1年 | 48600英镑/年 |
| 第 8 位 | 苏黎世联邦理工学院ETH Zurich | 2年 | 1460瑞士法郎/年 |
| 第 12 位 | 南洋理工大学Nanyang Technological University | 1年 | 65749新币/年 |
| 第 18 位 | 香港中文大学（深圳）The Chinese University of Hong Kong, Shenzhen | 2年 | 159000人民币/年 |
| 第 22 位 | 洛桑联邦理工学院EPFL | 2年 | 1460瑞士法郎/年 |
| 第 35 位 | 爱丁堡大学The University of Edinburgh | 1年 | 47680英镑/年 |
| 第 37 位 | 伦敦国王学院King's College London | 1年 | 42900英镑/年 |
| 第 52 位 | 香港城市大学City University of Hong Kong | 1年 | 342000港币/年 |