Master of Science in Computer Science - Computational Data Science
關於課程
The M.S. degree in Computer Science has two culminating options: thesis or non-thesis. Students planning to pursue a Ph.D. degree an/or academic research should select the thesis option. Students planning to pursue applied research and development in industry may select the non-thesis option. The thesis option requires original research and a written thesis. The non-thesis option requires a capstone project and an optional industrial internship.
The Computational Data Science concentration prepares students to process big data. In a spectrum of real-world applications, the collected data (from such sources as mobile devices, GPS, sensor/RFID networks, Internet, social media, etc.) is so large and complex, the traditional data processing tools cannot efficiently and effectively handle it. This concentration focuses on algorithms development, machine learning, computation techniques, network and computing infrastructure and software.
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開始日期及學費
如何申請
Entry requirements for 肯特州立大學
Bachelor's degree from an accredited college or university
Minimum 3.000 undergraduate GPA on a 4.000 point scale
Core components of an undergraduate computer science curriculum1
Official transcript(s)
GRE scores
Résumé
Goal statement
Three letters of recommendation
Minimum 525 TOEFL PBT score (paper-based version)
Minimum 71 TOEFL IBT score (Internet-based version)
Minimum 6.0 IELTS score
Applicants for Fall 2015 and after are required to submit their GRE scores. While we evaluate each application in its totality, we expect GRE scores for Verbal plus Quantitative to be greater than 295.
English language requirements
托福(TOEFL iBT)總分: 71.0
最後申請期限:
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