学制
全日制 12 个月12 Months (Full time)
授课
全日制／校内On campus; Full-time
学费
英镑 34,600 · total programme fee as stated on programme page; UK fees: £15,200 (Total); International fees: £34,600 (Total)GBP 34,600 · total programme fee as stated on programme page; UK fees: £15,200 (Total); International fees: £34,600 (Total)
英语
雅思 6.5 · 雅思 6.5 总分, with 不低于 6.0 in all componentsIELTS 6.5 · IELTS 6.5 overall, with no less than 6.0 in all components
入学要求
A bachelor degree with a 2:1 (hons) in a subject with a significant mathematics, statistics or computing component.
学年课程
官网写明为示例课程，以当年公布为准
Course details and modules
- 机器学习学分Machine Learning – 15 credits
- 深学习学分Deep Learning – 15 credits
- 编程数据科学学分Programming for Data Science – 15 credits
- 地理数据可视化与分析学分Geographic Data Visualisation & Analysis – 15 credits
- 大数据与消费分析学分Big Data and Consumer Analytics – 15 credits
- 商业分析与决策科学学分Business Analytics and Decision Science – 15 credits
- Forecasting and Advanced Business Analytics – 15 credits
- 机器学习实践学分Machine Learning in Practice – 15 credits
- 统计理论学分Statistical Theory – 15 credits
- 统计理论与方法学分Statistical Theory and Methods – 15 credits
- 统计学习学分Statistical Learning – 15 credits
- 统计计算机学分Statistical Computing – 15 credits
- 交通数据科学学分Transport Data Science – 15 credits
课程结构Course structure
- 机器学习学分Machine Learning – 15 credits
- 深学习学分Deep Learning – 15 credits
- 编程数据科学学分Programming for Data Science – 15 credits
- 地理数据可视化与分析学分Geographic Data Visualisation & Analysis – 15 credits
- 大数据与消费分析学分Big Data and Consumer Analytics – 15 credits
- 商业分析与决策科学学分Business Analytics and Decision Science – 15 credits
- Forecasting and Advanced Business Analytics – 15 credits
- 机器学习实践学分Machine Learning in Practice – 15 credits
- 统计理论学分Statistical Theory – 15 credits
- 统计理论与方法学分Statistical Theory and Methods – 15 credits
- 统计学习学分Statistical Learning – 15 credits
- 统计计算机学分Statistical Computing – 15 credits
- 交通数据科学学分Transport Data Science – 15 credits
选修Optional modules
- 机器学习学分Machine Learning – 15 credits
- 深学习学分Deep Learning – 15 credits
- 编程数据科学学分Programming for Data Science – 15 credits
- 地理数据可视化与分析学分Geographic Data Visualisation & Analysis – 15 credits
- 大数据与消费分析学分Big Data and Consumer Analytics – 15 credits
- 商业分析与决策科学学分Business Analytics and Decision Science – 15 credits
- Forecasting and Advanced Business Analytics – 15 credits
- 机器学习实践学分Machine Learning in Practice – 15 credits
- 统计理论学分Statistical Theory – 15 credits
- 统计理论与方法学分Statistical Theory and Methods – 15 credits
- 统计学习学分Statistical Learning – 15 credits
- 统计计算机学分Statistical Computing – 15 credits
- 交通数据科学学分Transport Data Science – 15 credits
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。
PRIVATE CONSULTATION
下一步：预约一次梳理
这一条只抄官网已经写明的标准。要不要申、怎么排，预约后单独谈。
预约梳理