格拉斯哥大学/英国授课型硕士 · 2027
数据分析硕士
Data Analytics
理学硕士/深造文凭/研究生证书:在线远程学习MSc/PgDip/PgCert: Online distance learning
学制
兼读 24 个月36 or 24 months part-time
授课
兼读Part-time
学费
—
英语
雅思 6.5 · 雅思 6.5 总分 (as stated on programme page)IELTS 6.5 · IELTS 6.5 overall (as stated on programme page)
入学要求
2.1 Hons (or non-UK equivalent) in any subject with a substantial mathematics component (at least equivalent to Level-1 courses in Mathematics and Level-2 courses in Calculus and Linear Algebra at the University of Glasgow). Graduates who have A-Level or Higher Mathematics, 或同等学历, may also be admitted to the programme.2.1 Hons (or non-UK equivalent) in any subject with a substantial mathematics component (at least equivalent to Level-1 courses in Mathematics and Level-2 courses in Calculus and Linear Algebra at the University of Glasgow). Graduates who have A-Level or Higher Mathematics, or equivalent, may also be admitted to the programme.
学年课程
课程结构Programme structure
- 数据分析项目(ODL)Data Analytics Project (ODL)
STATS5093P
- 高级预测模型(ODL)Advanced Predictive Models (ODL)
STATS5073
- Data Mining and Machine Learning I: Supervised and Unsupervised Learning (ODL)
STATS5074
- 学习数据(ODL)LEARNING FROM DATA (ODL)
STATS5075
- 预测建模(ODL)Predictive Modelling (ODL)
STATS5076
- R编程(ODL)R Programming (ODL)
STATS5078
- 数据分析商业与产业(ODL)Data Analytics in Business and Industry (ODL)
STATS5079
- Data Management and Analytics using SAS (ODL)
STATS5080
- Data Mining and Machine Learning II: Big Data and Unstructured Data (ODL)
STATS5081
- Data Programming in Python (ODL)
STATS5082
- Large-Scale Computing for Data Analytics (ODL)
STATS5083
- Uncertainty Assessment and Bayesian Computation (ODL)
STATS5084
- Probability and Sampling Fundamentals (ODL)
STATS5094
- 学习数据数据科学基础(ODL)Learning from Data - Data Science Foundations (ODL)
STATS5075
- Developing strategies for modelling and analysing potentially large and complex data
- Communicate and visualise insights gained from data
申请节点
—
所载课名、学制、学费与入学要求摘自学校官网当年公布。中文名为惯例译名,英文以官网为准。缺字段写作「—」,不编数字。是否适合申请、如何排冲稳保,预约梳理后另议。
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