哥伦比亚大学数据科学硕士简介-新东方前途出国

随着大数据时代的到来，越来越多的公司开始注重数据的积累与分析，数据分析师的岗位需求也变得格外火热。很多同学希望通过研究生的学习，毕业后从事大数据相关的工作。今天通过对哥伦比亚大学数据科学硕士项目的介绍，希望可以帮助您更好的了解这个专业的申请要求、申请材料以及课程设置等信息。

哥伦比亚大学数据科学硕士是一个交叉学科项目，由文理学院、统计学院、工程学院和工业工程与运筹学院共同开设。学生在硕士阶段有机会根据自身的兴趣进行科研或参与和企业的合作项目。

The Master of Science in Data Science allows students to apply data science techniques to their field of interest, building on four foundational courses offered in our Certification of Professional Achievement in Data Sciences program. Our students have the opportunity to conduct original research, included in a capstone project, and interact with our industry partners and faculty. Students may also choose an elective track focused on entrepreneurship or a subject area covered by one of our eight centers.

This program is jointly offered in collaboration with the Graduate School of Arts & Science' Department of Statistics, and The Fu Foundation School of Engineering & Applied Science's Department of Computer Science and Department of Industrial Engineering & Operations Research.

这个项目对于申请人的基本要求是申请者入读前必须获得本科学历，并且有一定的数学与计算机课程基础。在申请的过程中需要填写网申并上传相关成绩单和文书材料。

ELIGIBILITY REQUIREMENTS

Undergraduate degree

Prior quantitative coursework (calculus, linear algebra, etc.)

Prior introductory computer programming coursework

WHO SHOULD APPLY?

Individuals looking to strengthen their career prospects or make a career change by developing in-depth expertise in data science.

APPLICATION REQUIREMENTS

Online application

Uploaded transcripts from every post-secondary institution attended

Three recommendation letters

Personal statement

Curriculum vitae / resumé

Official *Graduate Record Examination (GRE) general test scores

      (*GMAT may not replace the GRE test requirement)

$85 non-refundable application fee

TOEFL, IELTS or PTE Academic test scores, if applicable

哥伦比亚大学学费按照学分收取，即每学分2018美金。该项目毕业的最低学分要求为30学分，所以项目学费约为6万美金。30个学分中21个学分为必修课，9学分选修课。课程涉及数据科学算法、机器学习、统计建模等。

CURRICULUM

Candidates for the Master of Science in Data Science are required to complete a minimum of 30 credits, including 21 credits of required/core courses and 9 credits of electives. This program may be pursued part-time or full-time. Most students enroll on a full-time status, completing the program in three semesters/one and a half years (Fall: 12-credits; Spring: 12-credits; Summer: Optional Internship or elective; Fall: final 3- or 6-credits).

For the most up-to-date course offering and schedule information refer to COURSES.

REQUIRED/CORE COURSES:

STAT GR5701 PROBABILITY AND STATISTICS FOR DATA SCIENCE*

CSOR W4246 ALGORITHMS FOR DATA SCIENCE

STAT GR5703 STATISTICAL INFERENCE AND MODELING

COMS W4121 COMPUTER SYSTEMS FOR DATA SCIENCE

COMS W4721 MACHINE LEARNING FOR DATA SCIENCE

STAT GR5702 EXPLORATORY DATA ANALYSIS AND VISUALIZATION

ENGI E4800 DATA SCIENCE CAPSTONE AND ETHICS

ELECTIVES:

Nine (9) credits of elective courses should be drawn upon existing graduate level courses at Columbia University.  In addition to advisor approval, elective course selection will be subject to course prerequsities, course availability, and the cross-registration procedures of the school/department offering the requested courses.