MS in Spatial Data Science

所属信息

所属学校

南加州大学

所属院校

USC Viterbi School of Engineering

所属专业

Data Science（数据科学）

基本信息

项目学分

学费估算

$68,135

申请截止日期

秋季

常规
1月15日
早申请
12月15日（Scholarship）

其他

春季
8月31日(Scholarship）
其他
9月15日(Spring Final）

申请信息

托福/GRE Code

4852

GPA要求

3.00

TOEFL要求

90.00 L:20.00 R:20.00 S:20.00 W:20.00

IELTS要求

6.50 L:6.00 R:6.00 S:6.00 W:6.00

成绩单寄送要求

网申上传

文书要求

Personal Statement: The personal statement should describe succinctly your reasons for applying to the proposed program at the Viterbi School of Engineering, your preparation for this field of study, study interests, future career plans, and other aspects of your background and interests which may aid the admissions committee in evaluating your aptitude and motivation for graduate study.

Prerequisite

Applicants to this program are expected to have a previous degree in science, technology, engineering, math or a related social science with at least a 3.0 overall GPA and satisfactory GRE Test results. Programming experience or at least a year of calculus is required for admission.

申请材料

CV/Résumé, Personal Statement, Letters of Recommendation

适宜学生

The curriculum is designed to be accessible to students with any background, including students with a spatial sciences background and no computer science knowledge as well as students with a computer science background and no spatial sciences knowledge. Students with undergraduate degrees in computer science, engineering, science or mathematics will acquire the necessary knowledge of spatial sciences through the curriculum, and can request to replace introductory data science courses with more advanced ones. Students with undergraduate degrees in spatial sciences, geography, or social sciences will acquire formal and practical data science skills, and can request to substitute introductory courses in spatial sciences with more advanced ones.