院校推荐：The University of Edinburgh(爱丁堡大学）
专业推荐：Data Science MSc
专业要求：
A UK 2:1 honours degree, or its international equivalent, in informatics, artificial intelligence, cognitive science, computer science, electrical engineering, linguistics, mathematics, philosophy, physics, psychology or another quantitative discipline.
课程设置：
You will follow two taught semesters of lectures, tutorials, project work and written assignments. During this time you will also learn research methods (such as literature review and project planning) to prepare for your final project and dissertation, which is completed during the summer.
You are also required to take a breadth of courses in data science, with at least one in each of the following areas (examples of courses recently offered in each area are listed in parentheses):
Machine Learning, Statistics and Optimization (e.g., Machine Learning and Pattern Recognition, Statistical Programming, Large Scale Optimization for Data Science)
Databases and Data Management (e.g., Introduction to Databases, Extreme Computing, Advanced Database Systems)
Applications (e.g., Text Technologies for Data Science, Accelerated Natural Language Processing, Image and Vision Computing)
你将学习两个学期的讲座、辅导课、项目工作和书面作业。在这段时间里，你还将学习研究方法(如文献综述和项目计划)，为你的最终项目和论文做准备，这将在夏季完成。
你还需要在数据科学方面学习广泛的课程，至少在以下每个领域学习一门课程(每个领域最近提供的课程示例在括号中列出):
机器学习，统计和优化(例如，机器学习和模式识别，统计编程，数据科学的大规模优化)
数据库与数据管理(如:数据库概论、极限计算、高级数据库系统)
应用(例如，数据科学的文本技术，加速自然语言处理，图像和视觉计算)
英语要求：
IELTS Academic: total 7.0 with at least 6.5 in each component.
学习费用：
Deposit
If you receive an offer of admission you will need to pay a deposit to secure your place.
£1,500 (this contributes towards your tuition fees)
