哈佛大学2018年秋季第一年招生数据科学硕士
有的偏机器学习、建模,有的偏数据分析。有的叫数据科学家,干的很多事情跟软件工程师(SWE)很类似。有的偏产品,风格短平快。有的偏长期研究,看的是一两年甚至更久的效果。
身为一个行业新人,这里就偏产品、数据分析类的数据科学家(或者说叫数据分析师)来讨论一下,需要的核心技能是什么,抛砖引玉。
做数据分析的最终目的,那就是通过数据分析来引导产品改进的能力。
Data Science研究生项目现在很多学校开设,18 Fall申美国DS做的比较多,把美国DS开设的最新情况写在这,希望有点帮助。
美国的DS项目开设的越来越多,18年就有哈佛,宾大,杜克等几所名校新开设或者开始招收国际生,而且从申请情况看,录取难度丝毫不逊色于CS. 所以说DS项目捞钱有点不负责任了,至少国外这些DS项目是实打实的,而且名校项目的就业都很不错
以下以哈佛大学为例 看下课程及招生条件
Applications to the Master of Data Science degree program for entry into the program in Fall 2019 will be accepted beginning September 2018. 第一届数据科学项目于2018年9月开始招生。该项目分为3个学期12门课程
A total of 12 courses taken over at
least three semesters is required.
Each student's plan of study for the SM degree will include:
The four technical core courses:
AC 209a Data Science I
AC 209b Data Science II
AM 207 Advanced Scientific Computing: Stochastic Methods for Data Analysis, Inference, and Optimization
CS 207 Systems Development for Computational Science
One semester of the new Critical Thinking and Data Science course
At least one research experience. This requirement can be satisfied by the AC 297r Capstone project course or a semester-length independent study project
At least one Computer Science elective and one Statistics elective chosen from the suggested electives list
Up to one seminar course - AC 298r or similar
Up to four other data science electives (from other FAS departments or other schools at Harvard)
As a final requirement, the presentation of a poster on a data science project at the annual IACS Project Showcase
对学生背景要求 :Prerequisites we expect from applicants include knowledge of calculus and linear algebra, familiarity with probability and statistical inference, fluency in at least one programming language such as python or R, and an understanding of basic computer science concepts.我们期望申请者具备的先决条件包括微积分和线性代数知识,熟悉概率和统计推断,至少精通一门编程语言(如python或R),理解基本的计算机科学概念。
截止时间:12月15日