Bachelor of Science in Computer Science - Data Science (Florham Campus)

菲尔莱狄更斯大学

US

QS排名:

  • 学历文凭

    Bachelor Degree

  • 专业院系

    数据库管理

  • 开学时间

  • 课程时长

  • 课程学费

    汇率提示

国际学生入学条件

Transcripts - Official high school transcripts are required. Copy of attested or official transcripts, marksheets, academic records, diplomas, national examination results, certificates or degrees received from all secondary, post-secondary, university and/or professional schools. Students from India: Please note that we do not accept consolidated marksheets. Individual marksheets showing all attempts, failures and retakes are required. Upload or mail your academic records from all secondary schools attended. If your transcripts, diploma, or any other academic documents are not in English, you MUST include an official English translation.Include any AP, IB, and/or GCE scores. You may be eligible for transfer credit for the following exams and qualifying scores: Metropolitan Campus AP Policy or Florham Campus AP Policy IB Diploma/ Certificates: 5 or higher per Higher Level exam.IELTS - 6, TOEFLIBT - 70.
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雅思考试总分

6.0

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  • 雅思总分:6
  • 托福网考总分:70
  • 托福笔试总分:160
  • 其他语言考试:PTE (A) - 53
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课程简介

The Bachelor of Science in Computer Science program is designed to give students broad knowledge in the theoretical as well as practical aspects of computer science. The program provides graduates with a solid foundation in the fundamentals of Computer Science, preparing them for a professional career in the field as well as graduate studies. The skills and knowledge that students acquire will provide them with the ability to adapt and grow in the workplace which is continually changing with advances in technology and globalization.<br>We are now witnessing a new era in modern information technology, namely, the era of Big Data. Huge amounts of data are continuously generated every minute. Data sources range from social networking sites, stock trading sites, news agencies, insurance companies, and search engines, to sensors in meteorological and climate systems, patient monitoring systems, and acquisition and control systems that can be found in cell towers, cars, airplanes, and power plants. With these enormous amounts of data, systems and techniques are needed to extract knowledge, information, and patterns for prediction, forecasting and decision-making purposes.
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