All Items 1 Collection 1 The Octagon 1 Contributor 2 Hardin, Johanna S. (Mathematics Department, Pomona College) 1 Horton, Nicholas J. (Department of Mathematics and Statistics, Amherst College) 1 Topic 2 Mathematics--Study and teaching 1 Statistics--Study and teaching 1 Part Of 1 The Amherst College Octagon 1 Genre 1 Articles 1 Subject 2 Mathematics--Study and teaching 1 Statistics--Study and teaching 1 Ensuring that mathematics is relevant in a world of data science Horton, Nicholas J. (Department of Mathematics and Statistics, Amherst College) The recent growth of data science has been remarkable. Analysts now have rich data and powerful computational tools to help answer important questions. Examples of ways that insights can be wrangled from this information abound in diverse areas. This has led some to dub computational thinking (or fluency) as the "new literacy" on par with writing and quantitative skills. A major unanswered question relates to the role of mathematics in the training of future data scientists. How can we be sure that data science is on a firm mathematical and statistical foundation? In the article, we will consider what courses in mathematics would best prepare future data scientists. Ensuring that mathematics is relevant in a world of data science