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斯德哥尔摩大学 · Master's Programme in Mathematical Statistics and Machine Learning 硕士

Stockholm University|Master's Programme in Mathematical Statistics and Machine Learning。 下面的学制、学费、入学时间、语言要求与课程设置均来自该校该项目本身,不与其他学校同一名称的项目共用。
QS 2027 · 第 167 位
学位 硕士 · 学制 2 年
斯德哥尔摩大学「Master's Programme in Mathematical Statistics and Machine Learning」为硕士项目,学制 2 年。官网给出的学历与先修要求见下方对应板块(原文为准)。本站另收录 1 条该校该方向的真实录取案例,可用来判断背景匹配度。下面按「项目参数 → 申请要求 → 官网原文 → 录取案例」排列,先看能横向对比的中文参数,再看官网原文细节。

📋 项目参数

Master's Programme in Mathematical Statistics and Machine Learning

Master's Programme in Mathematical Statistics and Machine Learning
硕士
学制2 年

🎯 入学要求

官网给出的录取条件原文,含学校统一要求与该项目的附加要求;语言成绩的具体分数线请到项目官网核对。

In order to be admitted to the program, knowledge equivalent to a Bachelor's degree, with at least 45 credits of Mathematics, 15 credits of Computer Science/Computational Mathematics and 45 credits of Mathematical Statistics, is required. English 6 or English level 2.

📖 项目简介

Mathematical statistics is considered one of the most important tools in applied mathematics and our MSc programme offers you a broad platform, with courses in classical mathematical statistics and more recent courses in statistical learning, and with vast opportunities to specialise and form a unique profile. One of the many advantages with a background in mathematical statistics, is that your career options are found in the most unexpected and exciting sectors. This programme is an excellent preparation for PhD studies, but our graduates also work with risk analysis in the insurance and financial sector, statistical analysis in medicinal science, climatology and probability calculations in the telecommunication industry. Many employers nowadays also need people who can use statistical learning to deal with large amounts of data, and data science is a common field for our alumni. Being a collaborator in the Stockholm Mathematics Centre, our department is part of a developing international core for scientific work in mathematics. At Stockholm University, studies in mathematical statistics covers a full range of topics from probability theory to applied statistics and computing. The programme includes traditional measure-theoretic probability theory to provide a solid mathematical

以上为斯德哥尔摩大学该项目官网项目页原文(英文),本站未做改写或补写。

📊 申请案例数据分析(1 条)

下表统计的是斯德哥尔摩大学全部 1 条录取案例,只反映该校整体录取水位,不代表这一个项目的要求。样本低于 8 条的维度不出图表 —— 拿 3 条案例画一张「趋势图」是假的。
本科层次普通本科 100%
中位数按同制式分别统计(不同 GPA 制式不可合并),样本少于 5 条时只报数量不报中位
中华女子学院 · 法学
普通本科GPA 87.99/100雅思 7

🔗 站内归类方向

该项目已归属站内方向「统计学」,可到该校该方向的筛选视图看同方向的其他项目与录取案例

❓ 常见问题

以下问答的答案全部取自本页已列出的官网数据,不做推测;官网未公布的项不出现在这里。
斯德哥尔摩大学Master's Programme in Mathematical Statistics and Machine Learning主要学什么?
该项目为硕士,官网介绍:Mathematical statistics is considered one of the most important tools in applied mathematics and our MSc programme offers you a broad platform, with courses in classical mathematical statistics and mo…
斯德哥尔摩大学Master's Programme in Mathematical Statistics and Machine Learning的学制是多久?
该校官网公布为 2 年(全日制)。
斯德哥尔摩大学Master's Programme in Mathematical Statistics and Machine Learning的入学要求是什么?
In order to be admitted to the program, knowledge equivalent to a Bachelor's degree, with at least 45 credits of Mathematics, 15 credits of Computer Science/Computational Mathematics and 45 credits of Mathematical Statistics, is required.
学制 / 学费 / 语言要求 / 申请节奏为按国家(地区)通行区间整理的参考值,各校每年均可能调整,最终以院校官网公布为准;本站不提供中介服务。 排名数据:QS 名次来自 QS 官方榜单整理,U.S. News 名次整理自 Ranking Radar 公开数据集(CC-BY-4.0),原始榜单 © U.S. News & World Report。
Master's Programme in Mathematical Statistics and Machine Learning
斯德哥尔摩大学 · 2 年