巴斯大学数据科学专业 项目网站

Data Science – 2 years including placement year

英国 公立

项目背景

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更新时间:2024-04-01

专业排名351

大学巴斯大学

开学时间9月

课程学制2年

学费31600.00/GBP

专业介绍

Gain a solid grounding in the theory and practice of data science. You’ll develop specialist knowledge in statistics, machine learning and software technology. Data science drives a significant proportion of global economic activity, and is influencing scientific progress across numerous fields. This course provides you with the tools to become an industry expert with a strong mathematical foundation. You'll gain an understanding of the balanced combination of science and technology required for delivering effective data science. You’ll learn strong statistical foundations of universal relevance and develop specialist knowledge of probabilistic machine learning techniques. You will gain expertise in the software technologies that are central to putting this knowledge into practice, addressing the challenges of small and large data sets. You’ll learn from a dedicated team of computer scientists who have a wealth of experience from their professional backgrounds. After graduation, you’ll be well placed to progress into a variety of careers in data science, from large-scale established commercial enterprises to innovative technology start-ups. You will also have acquired the essential foundation for further postgraduate study and research within related fields. Recent graduate roles include Data Scientist, Machine Learning Developer, Python Developer and Software Engineer.

推荐顾问

世界排名

2020年

351

2019年

351

2018年

301

2017年

351

语言要求

类型
雅思
托福
PTE
Listen
6
21
59
Speak
6
21
59
Read
6
21
59
Write
6
21
59
总分
6.5
90
62

学术要求

相关专业(如数学,计算机科学,统计,物理,天体物理,工程)+含基础数学,编程科目

课程设置

Compulsory course units:必修课程单元 Applied data science:应用数据科学 Statistics for data science:数据科学统计 Machine learning 1:机器学习1 Software technologies for data science:数据科学的软件技术 Applied data science:应用数据科学 Machine learning 2:机器学习2 Research project preparation:研究项目准备 Placement or Dissertation:安置或论文 Optional course units:可选课程单元 Bayesian machine learning:贝叶斯机器学习 Reinforcement learning:强化学习

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