布里斯托大学-高级计算机硕士-机器学习、数据挖掘和高性能计算

MSc Advanced Computing-Machine Learning, Data Mining and High-Performance Computing 

Full time 1 YearSeptember 2019-September 2020

Department of Computer Science

Clifton Campus

Programme Overview

Machine learning, data mining and high-performance computing are concerned with the automated analysis of large-scale data by computer, in order to extract the useful knowledge hidden in it. Using state-of-the-art artificial intelligence methods, this technology builds computer systems capable of learning from past experience, allowing them to adapt to new tasks, predict future developments and provide intelligent decision support.机器学习、数据挖掘和高性能计算是计算机对大规模数据进行自动分析，以提取其中隐藏的有用知识。该技术采用最先进的人工智能方法，构建了能够从过去经验中学习的计算机系统，使其能够适应新的任务，预测未来发展，并提供智能决策支持。

This programme is aimed at giving you a solid grounding in machine learning, data mining and high-performance computing technology. It aims to equip you with the skills necessary to apply these tools and techniques to solving complex scientific and business problems.

本课程旨在为您在机器学习、数据挖掘和高性能计算技术方面打下坚实的基础。它旨在为您提供必要的技能，以应用这些工具和技术来解决复杂的科学和商业问题。

Programme Structure

Courses:

 

Progression/award requirements

The pass mark set by the University for any level 7(M) unit is 50 out of 100.

Academic Requirements

An upper second-class honours degree with a final average of 65 per cent or above (or international equivalent) in any subject other than computer science. Competence in mathematics must be demonstrated, with at least a good grade in GCSE Mathematics or preferably A-level Mathematics or equivalent university-level experience.除计算机科学以外的任何学科的最终平均成绩为65%或以上（或国际同等学历）的高级二等荣誉学位。必须证明数学能力，至少有GCSE数学的良好成绩，最好是Alevel数学或同等大学水平的经验。

China

Applicants who hold a 4-year Bachelor's (Honours) degree from a prestigious university with a minimum of 80% will be considered for admission to a Master's degree. 4年本科 荣誉学位 80%均分

English Language Requirements

Test Minimum Profile E

Fees and cost

Tuition fees per year 2019/20UK/EU/International: £21,700 full-time