计算机系统工程理学硕士-工程软件设计
Master of Science in Software Engineering Systems

东北大学- Kaplan International

US

QS排名:

  • 学历文凭

    Masters Degree

  • 专业院系

    计算机软件工程

  • 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 bachelors degree or equivalent from an accredited college or university.
To submit and complete your application you must upload a PDF file of your unofficial transcript directly to your online application Unofficial transcripts must be in English.
Please ensure that the scanned documents are readable and include all courses grades ie marks scores etc and credits completed to date The scanned documents should also include information about the institutions grading scale If admitted you will need to provide your official transcript For a transcript to be official it must be in a sealed envelope from the transferring college or university.
Other Documents -
Statement of purpose - 500 words minimum.
Letters of recommendation 2 or 3 for graduate programs.
Curriculum vitae CV Resume.
TOEFL 79, IELTS 6.5
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IDP—雅思考试联合主办方

雅思考试总分

6.5

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  • 雅思总分:6.5
  • 托福网考总分:79
  • 托福笔试总分:160
  • 其他语言考试:PTE - 53
CRICOS代码:
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课程简介

专注于软件设计工程的人员采用工程方法进行软件开发,并且适合技术更高的学生。这种专心致志的软件工程师经验丰富,他们有能力应对实施大规模且特定于行业的信息和通信基础架构的挑战,这些基础架构可以在正确的时间向正确的人员提供最佳信息。鉴于软件设计工程集中于高级系统,工程原理,信息建模,软件开发,大系统的推出,因此可以满足具有软件经验的工程专业学生的更复杂需求。解决复杂的现实世界问题。学生的课程选择集中在1)高级软件设计和架构(超出编程)以及2)垂直领域,例如医疗保健,可持续性,财务以及基础设施(例如电网或运输系统
The Master of Science in Software Engineering Systems degree prepares students for careers as software developers in competitive markets.<br>Potential career paths: Web / App Developer, IT Consultant, Systems Developer, Data Analyst, Computer Systems Analyst<br>IT Security Analyst<br>If you want to earn your master's in Software Engineering Systems at Northeastern, Global Pathways can help you succeed through rigorous language training, cultural activities, and support.<br><br>The Master of Science in Software Engineering Systems approaches software development from the analytical and methodological perspective of an engineer. Youll build advanced design and engineering skills, enhance knowledge in cloud computing, and develop machine learning algorithms. With your passion for high-performance technology, large-scale machine learning, and AI-type algorithms, youll become an intuitive problem solver, experienced engineering architect, and results-focused leader. Your knowledge of the three-way intersection of computer science, engineering, and ethics will enable you to have real-world societal impact in a high-demand field across industries.
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