Launch your data science career and drive real-world change with data-informed solutions. Gain cutting-edge skills, ethical insight, and practical expertise to innovate in your field.
Begin your journey into data science and build a career with real impact. This Master's equips you with the skills and knowledge to turn raw data into valuable insights.
We have designed this degree as a conversion course for students from non-computing backgrounds. It will guide you through the core tools and techniques of data science. You'll develop the expertise employers want in a rapidly evolving field, and prepare for impactful roles in sectors such as health, government, business, and technology.
You’ll build a solid foundation in the latest computational and mathematical techniques which are highly valued by industry. You’ll develop programming skills in Python and R, which are vital as a basis in this field. You'll then advance onto cutting-edge machine learning and AI methods to unlock insights from complex data.
This hands-on, practical course gives you experience working with large, complex data sets . You'll learn from leading academics and industry professionals tackling real-world data challenges.
Aspects of this course are delivered by expert data scientists from the UK’s National Innovation Centre for Data (NICD) . You’ll immerse yourself in their leading-edge techniques and practical applications of data science through data bootcamps and learning by experience.
You’ll also gain a broader understanding of the societal and ethical responsibilities around data use. You'll benefit from practical exposure to business processes, and learn how data science experts apply their skills in real-world settings.
This Data Science Master's degree is part of a suite of Data Science conversion degrees. You may also be interested in:
We've highlighted important information about your course. Please take note of any deadlines.
Please rest assured we make all reasonable efforts to provide you with the programmes, services and facilities described. However, it may be necessary to make changes due to significant disruption, for example in response to Covid-19.
View our Academic experience page , which gives information about your Newcastle University study experience for the academic year 2025-26.
See our terms and conditions and student complaints information , which gives details of circumstances that may lead to changes to programmes, modules or University services.
The entrance requirements below apply to 2027 entry .
This policy applies to all undergraduate and postgraduate admissions at Newcastle University. It is intended to provide information about our admissions policies and procedures to applicants and potential applicants, to their advisors and family members, and to staff of the University.
University Admissions Policy and related policies and procedures
Recognition of Prior Learning (RPL) can allow you to convert existing relevant university-level knowledge, skills and experience into credits towards a qualification. Find out more about the RPL policy which may apply to this course
| 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 |