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Master of Science in Computer Science - Intelligent Systems

罗伦斯科技大学

Lawrence Technological University

US美国

  • 学历文凭

    学历文凭

    Masters Degree

  • 专业院系

    专业院系

    Department of Mathematics and Computer Science

  • 开学时间

    开学时间

  • 课程时长

    课程时长

  • 课程学费

    课程学费

    汇率提示

国际学生入学条件

A bachelor's degree in Computer Science or similar field, with an overall undergraduate GPA of at least 2.5 (US students can apply with a GPA of 2.0 or higher)
TOEFL iBT- 79 on the for graduate students
IELTS- 6.0 on the for graduate students
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  • IDP—雅思考试联合主办方

  • 雅思考试总分

    6.0

  • 雅思总分:6
  • 托福网考总分:79
  • 托福笔试总分:160
  • 其他语言考试:The Duolingo English Test for graduate students- 105

CRICOS代码:
申请截止日期: 请与IDP联系 以获取详细信息。

课程简介

Designed to meet the challenges of this exciting and evolving industry, Lawrence Tech's Master of Science in Computer Science offers advanced knowledge and skills in-<br>Intelligent Systems<br>Distributed System<br>Data Science & Big Data<br>Cybersecurity<br>Database Systems<br>Web Software Engineering<br>With LTU's Master of Science in Computer Science, youll be positioned to provide the skills business and industry leaders rely on to design and develop products, as well as apply the latest software engineering methodologies. LTU's MSCS emphasizes applied concepts in Big Data, Data Mining, Artificial Intelligence, Software and Network Security and Social Network Mining. It also emphasizes applied concepts in machine learning, autonomous mobile robotics, mixed reality, and software engineering in robotics. This program is technically demanding in breadth and depth. Concepts are reinforced with customized software development challenges that focus on application and real-world projects. This program is designed so that students can select four additional electives or current topics in computer science to, cover at least one concentration and to strengthen their understanding and give them a unique competitive advantage with employers. In addition, state of the art advanced topics are introduced such as Pattern Recognition, Deep Learning, Virtual Reality and Augmented Reality.
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开学时间&学费

学费信息仅供参考,请与IDP联系以获取详细信息

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