学制
授课
学费
英语
入学要求
学年课程
官网写明为示例课程,以当年公布为准
生物统计学Biostatistics Studies
- Causal inference6
EPM5018
- 导论生物信息学Introduction to Bioinformatics6
BMS5021
- Regression modelling for biostatistics II6
EPM5028
- Health indicators and health surveys6
EPM5001
- 统计机器学习Statistical machine learning6
ETC5555
- Bayesian statistical methods6
EPM5013
- Diving deeply into data exploration6
ETC5521
- 数据勘探与可视化Data exploration and visualisation6
FIT5147
- Communicating with data6
ETC5523
- 设计随机对照试验Design of randomised controlled trials6
EPM5007
- Longitudinal and correlated data analysis6
EPM5008
机器学习学Machine learning studies
- Data analysis for semi-structured data6
FIT5212
- 机器学习Machine learning6
FIT5201
- 基础人工智能Fundamentals of artificial intelligence6
FIT5047
选修Machine learning elective studies
- Diving deeply into data exploration6
ETC5521
- Regression modelling for biostatistics II6
EPM5028
- 机器学习Machine learning6
FIT5201
- 基础人工智能Fundamentals of artificial intelligence6
FIT5047
- 导论数据库Introduction to databases6
FIT9132
- Bayesian statistical methods6
EPM5013
- Communicating with data6
ETC5523
- 数据勘探与可视化Data exploration and visualisation6
FIT5147
- Data analysis for semi-structured data6
FIT5212
- 数据处理大数据Data processing for big data6
FIT5202
- 深学习Deep learning6
FIT5215
- 统计机器学习Statistical machine learning6
ETC5555
- 自然语言处理Natural language processing6
FIT5217
健康数据分析通识学Health data analytics general studies
- Health indicators and health surveys6
EPM5001
- 自然语言处理Natural language processing6
FIT5217
- 基础人工智能Fundamentals of artificial intelligence6
FIT5047
- 高级R编程Advanced R programming6
ETC5450
- 数据勘探与可视化Data exploration and visualisation6
FIT5147
- Collaborative and reproducible practices6
ETC5513
- Communicating with data6
ETC5523
- Data analysis for semi-structured data6
FIT5212
- Regression modelling for biostatistics II6
EPM5028
- 数据处理大数据Data processing for big data6
FIT5202
- Causal inference6
EPM5018
- Bayesian statistical methods6
EPM5013
- 设计随机对照试验Design of randomised controlled trials6
EPM5007
- Longitudinal and correlated data analysis6
EPM5008
- 导论生物信息学Introduction to Bioinformatics6
BMS5021
- 导论数据库Introduction to databases6
FIT9132
- 统计机器学习Statistical machine learning6
ETC5555
- 深学习Deep learning6
FIT5215
- 机器学习Machine learning6
FIT5201
- Applied forecasting6
ETC5550
- Diving deeply into data exploration6
ETC5521
部分基础学Part A. Foundation studies
- Introduction to Python programming6
FIT9136
- 统计数据建模Statistical data modelling6
FIT5197
- 入门流行病学Introductory epidemiology6
MPH5040
- 数学基础生物统计Mathematical foundations for biostatistics6
EPM5026
- Programming principles for health data analytics using Python6
EPM5033
- 导论数据分析Introduction to data analysis6
ETC5510
- Regression modelling for biostatistics 16
EPM5027
- Data wrangling6
FIT5196
- 导论健康数据分析Introduction to health data analytics6
EPM5029
- Principles of statistical inference6
EPM5003
部分B.应用学Part B. Applied studies
- 专业实践发展Professional practice development6
MPH5289
- 导论机器学习Introduction to machine learning6
ETC5250
- 健康数据分析项目Health data analytics project6
EPM5031
- 人类健康与疾病过程Human health and disease processes6
EPM5030
- Applied health data analytics group case study6
EPM5032
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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