计算机科学理学硕士
Master of Science in Computer Science
  • 学历文凭

    Masters Degree

  • 专业院系

    计算机科学

  • 开学时间

  • 课程时长

  • 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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雅思考试总分

6.0

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  • 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
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课程简介

劳伦斯科技大学的计算机科学理学硕士可以帮助您应对这个令人兴奋的不断发展的行业所带来的挑战。该计划提供了灵活性,可容纳来自不同背景的学生-最近的大学毕业生与国际知名教授合作,获得了以下方面的先进知识和技能:数据科学,大数据,数据挖掘,智能系统和机器人技术。从航空航天到制药工业,计算机几乎影响着现代生活的各个方面。随着技术的不断进步,对我们计算机科学专业毕业生的需求也在不断增长。寻求计算机科学最佳机会的人员通常需要计算机科学硕士学位。如今,商业和行业领导者依靠具有专门技能的人员来设计和开发产品,以及应用最新的
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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