Programme overview
The Master’s programme in Mathematical Statistics provides a broad spectrum of tools and methods for handling random phenomena occurring in scientific as well as industrial contexts. Within the programme, you can specialise in many different areas for different purposes, such as the modelling of economical, biological and environmental data.
You study at least 45 credits in mathematical statistics at the Master’s level and write a Master’s thesis of 30 credits. You can choose to take the remaining (at most 45) credits in e.g., mathematics or numerical analysis. You can also choose courses in other subjects, such as computer science or, if you are aiming for a career in a specific applied field, courses in that field. Examples include courses in economics, molecular biology and bioinformatics.
If you intend to proceed to a PhD, you should take courses with a high degree of theory content, while if you are aiming for a career outside academia, you should take courses that cover a wide range of statistical models and methods.
方案结构
- 平稳随机过程（7.5 学分）
- 马尔可夫过程（7.5 学分）
- 概率的数学基础（7.5 学分）
- 时间序列分析（7.5 学分）
- 随机推理的蒙特卡罗方法（7.5 学分）
- 非参数推理（7.5 学分）
- 稳态和非平稳光谱分析（7.5 学分）
- 线性和逻辑回归（7.5 学分）
- 极值的统计建模（7.5 学分）
- 推理论（7.5 学分）或《实验设计》（7.5 学分）
- 非线性时间序列分析（7.5 学分）
- 空间统计与图像分析（7.5 学分）
- 衍生资产的估值（7.5 学分）
- 金融统计（7.5 学分）
- 多变量极值的统计建模（7.5 学分）或其他选修课程。
- 硕士学位论文（30 学分）
职业前景
有了数学统计学理学硕士学位，你就有机会在制药行业、生物技术公司或银行和金融领域等领域开创令人兴奋的职业生涯。 统计方法对于物流、质量保证和公共部门行业和组织的发展也非常重要。
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