The University of Edinburgh｜MSc Data Science。项目库类目：数据科学 · 理科。
下面的学制、学费、入学时间、语言要求与课程设置均来自该校该项目本身，不与其他学校同一名称的项目共用。
QS 2027 · 第 35 位
学位 硕士 · 学制 1年 · 学费 47680英镑/年 · 入学 9月 · 10 门课程
📖 项目简介
Data science is the study of the computational principles, methods, and systems for extracting and structuring knowledge from data; and the application and use of those principles. Large data sets are now generated by almost every activity in science, society, and commerce - ranging from molecular biology to social media, from sustainable energy to health care.
As an MSc Data Science student, you will explore how to efficiently find patterns in these vast streams of data. Many research areas have tackled parts of this problem:
Machine learning focuses on finding patterns and making predictions from data.
Ideas from algorithms and databases are required to build systems that scale to big data streams.
Separate research areas have grown around different types of unstructured data such as text, images, sensor data, video, and speech.
The University of Edinburgh consistently ranks among the world's top universities for Computer Science, including 22nd in the world and 5th in the UK in the QS World University Rankings by Subject 2026.
The Research Excellence Framework (REF) 2021 ranked our School 1st in the UK for research power in Computer Science and Informatics. This means you will learn from experts at the forefront of their fields, undertaking cutting-edge research in a wide range of areas.
You will be part of a large, vibrant department with around 2000 students across undergraduate, masters and research programmes and 150 academic staff.
You will study in the heart of Edinburgh city centre, regularly voted as one of the most desirable places to live in the world, and one of the UK’s fastest-growing tech hubs.
Learn about the Data Science MSc in this presentation delivered by Programme Director, Dr Matteo Degiacomi.
以上为爱丁堡大学该项目官网项目页原文（英文），本站未做改写或补写。
📋 项目参数
数据科学理学硕士
MSc Data Science
硕士理科
学制1年
学费47680英镑/年
入学时间9月
就业方向科技公司、金融机构、咨询公司、数据分析公司
岗位分布数据科学家、BI分析师、AI研究员、数据工程师、数据分析师
📚 课程设置（10 门）
课程10 门
机器学习和模式识别Machine Learning and Pattern Recognition
统计编程Statistical Programming
数据科学的大规模优化Large Scale Optimization for Data Science
数据库导论Introduction to Databases
极限计算Extreme Computing
高级数据库系统Advanced Database Systems
数据科学文本技术Text Technologies for Data Science
加速自然语言处理Accelerated Natural Language Processing
影像与视觉计算Image and Vision Computing
课题研究Project
✨ 项目特色
该项目官网「Unique Program Features」原文，说的是这个项目自身的特点（学制长短、资助、实践安排、认证等），不是学校层面的通用介绍。
Tailor your experience to your interests and be in control of your learning: choose from a wide range of courses, from the theoretical to those that let you apply what you learn.
Benefit from research-driven teaching by internationally leading academics.
Gain a globally recognised master's degree from a world-leading university.
Join an active student community. Student societies based in our School host industry events, monthly student tech meetups, regular workshops and hackathons.
Edinburgh is a vibrant and multicultural city, ranked 2nd best student city in the UK and 15th in the world (QS Best Student Cities 2026).
We are the largest Informatics department in the UK and one of the largest in Europe. You will be part of a large, vibrant community of students and staff from over 100 countries.
This student was incentivised to tell their story.
🎯 入学要求
官网给出的录取条件原文，含学校统一要求与该项目的附加要求；语言成绩的具体分数线请到项目官网核对。
A UK 2:1 honours degree, or its international equivalent, in informatics, artificial intelligence, cognitive science, computer science, econometrics, electrical engineering, linguistics, mathematics, philosophy, physics, psychology or another quantitative discipline.
You should have experience of computer programming equivalent to an introductory programming course and have completed the equivalent of 60 SCQF credits or 30 ECTS credits of mathematics during your degree that have typically covered the following subjects/topics: calculus (differentiation and integration), linear algebra (vectors and multi-dimensional matrices), discrete mathematics and mathematical reasoning (e.g. induction and reasoning, graph theoretic models, proofs), and probability and statistics (concepts in discrete and continuous probabilities, basic parameter estimation etc.)
To find international equivalent qualifications, select where you studied from the country or region list.
该项目为硕士 · 数据科学，官网介绍：Data science is the study of the computational principles, methods, and systems for extracting and structuring knowledge from data; and the application and use of those principles.
爱丁堡大学数据科学理学硕士的学制是多久？
该校官网公布为 1年（全日制）。
爱丁堡大学数据科学理学硕士的学费是多少？
47680英镑/年，为该校官网公布的项目学费。
爱丁堡大学数据科学理学硕士什么时候入学？
该校官网公布 9月 入学。
爱丁堡大学数据科学理学硕士的入学要求是什么？
A UK 2:1 honours degree, or its international equivalent, in informatics, artificial intelligence, cognitive science, computer science, econometrics, electrical engineering, linguistics, mathematics, philosophy, physics, psychology or anoth…