爱丁堡大学数据科学对于数学的要求
You should have experience of computer programming equivalent to an introductory programming course and have completed the equivalent to 60 credits of mathematics during your degree that have typically covered the following subjects/topics: calculus (differentiation and integration), linear algebra (vectors and multi-dimensional matrices), discrete mathematics and mathematical reasoning (e.g. induction and reasoning, graph theoretic models, proofs), and probability (concepts in discrete and continuous probabilities, Markov chains etc.)
你应该有相当于入门编程课程的计算机编程经验,并且在你的学位课程中完成了相当于60学分的数学课程,这些课程通常包括以下科目/主题:微积分(微分和积分)、线性代数(向量和多维矩阵),离散数学和数学推理(如归纳和推理、图论模型、证明)和概率(离散和连续概率、马尔可夫链等概念)