国际学生入学条件
In addition to the general UCF graduate application requirements, applicants to this program must provide:
One official transcript (in a sealed envelope) from each college/university attended.
A personal statement identifying the area of research interest and a description of the applicant's academic and professional experiences.
Three letters of recommendation.
A Bachelor's degree or its equivalent in statistics, data analytics or a related field from a regionally accredited institution or recognized foreign institution.
The student should have a minimum cumulative GPA of 3.0 for all bachelor's level work completed.
A competitive score on the combined quantitative and verbal sections of the Graduate Record Examination (GRE) or a competitive GMAT score taken within the last five years prior to admission to the program.
A current curriculum vitae.
A TOEFL computer-based score of 220 or 80 on the internet-based TOEFL (or equivalent score on the paper-based test) or 6.5 on the IELTS is required unless otherwise specified by the program.
展开 IDP—雅思考试联合主办方
雅思考试总分
6.5
了解更多
雅思考试指南
- 雅思总分:6.5
- 托福网考总分:80
- 托福笔试总分:160
- 其他语言考试:NA
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
大数据分析将培训具有统计学背景的研究人员,以分析海量,结构化或非结构化数据,以发现隐藏的模式,未知的相关性以及可用于做出更好决策的其他有用信息。该计划将为与大数据分析相关的主要方法(如预测分析,数据挖掘,文本分析和统计分析)提供强大的基础,并结合了统计学和计算机科学的优势。它将侧重于统计计算,统计数据挖掘及其在商业,社会和健康问题上的应用,并辅之以正在进行的产业合作。该计划的范围专门用于准备数据科学家和数据分析人员,他们将使用常规和新开发的统计方法处理非常大的数据集。
Big Data Analytics will train researchers with a statistics background to analyze massive, structured or unstructured data to uncover hidden patterns, unknown correlations and other useful information that can be used to make better decisions. The program will provide a strong foundation in the major methodologies associated with Big Data Analytics such as predictive analytics, data mining, text analytics and statistical analysis with an interdisciplinary component that combines the strength of statistics and computer science. It will focus on statistical computing, statistical data mining and their application to business, social, and health problems complemented by ongoing industrial collaborations. The scope of this program is specialized to prepare data scientists and data analysts who will work with very large data sets using both conventional and newly developed statistical methods.
展开