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Doctor of Philosophy in Big Data Analytics
在中央佛羅里達大學
關於課程
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 with 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.
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 with 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.
開始日期及學費
如何申請
Entry requirements for 中央佛羅里達大學
n 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.
English language requirements
托福(TOEFL iBT)總分: 80.0
最後申請期限:
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