Master of Science in Artificial Intelligence

长岛大学布鲁克林分校

US

QS排名:

  • 学历文凭

    Masters Degree

  • 专业院系

    人工智能与机器人

  • 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 from all colleges and universities attended and proof of degree of anticipated degree.
All transcripts must be submitted in English or translated into English by a professional translation company. Applicants with a bachelor's degree that is less than three years in duration may be required to submit a NACES evaluation.
Proof of English language proficiency testing (we accept IELTS, TOEFL, PTE and Duolingo)
Applicants may be eligible for an English language proficiency testing waiver based on citizenship and/or prior education where English is the first language.
GMAT or GRE score (if applicable, see major requirements)
Two Letters of Recommendation.
Resume or CV.
IELTS - 6
Duolingo - 100
TOEFL Essentials - 9.0
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IDP—雅思考试联合主办方

雅思考试总分

6.0

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  • 雅思总分:6
  • 托福网考总分:60
  • 托福笔试总分:160
  • 其他语言考试:Duolingo - 100
CRICOS代码:
申请截止日期: 与IDP顾问联系以获取详细信息。

课程简介

To prepare the workforce of the future, the 30- credit M.S. in Artificial Intelligence (AI) aims to educate and train skilled leaders to create AI applications and AI systems that are designed to solve complex real-world challenges and problems across many industry domains. The purpose of the program is to achieve this latter goal while addressing the emerging needs of the market. Additionally, the new program, with its faculty and students, aims to accelerate multidisciplinary research and discovery in LIU emerging signature areas: health, pharmaceutics, pharmacologicalengineering, bioinformatics, and business among others. The program will create new opportunities for research and economic development. It is a pathway for masters students to pursue exciting career opportunities in the most innovative companies in the NY region and the globe across all industry sectors and/or Ph.D. research in Computer Science and related fields.<br><br>The M.S. in AI program offers a holistic view and a multidisciplinary in-depth study of AI theory and practice. New courses include: Programming in Python, Data Structures and Algorithms, Statistical Learning, Modern Artificial Intelligence (Present and Future), Machine Learning and Pattern Recognition, Data Mining and Exploration, Deep Learning, Artificial Intelligence and Machine Learning in Bioinformatics, Automatic Speech Recognition, Image and Vision Computing, and Computational Neuroscience and Cognition and Intelligent Autonomous Robots. In addition, the program includes two Special Topics courses for timely introduction of cutting edge advanced topics in Artificial Intelligence, including research topics. The program offers two options: a course only option and a thesis option for six credits over two semesters. The one-year thesis sequence should demonstrate the students learning in the program and contributions ranging from practical developments of AI components or systems to theoretical contributions, culminating in a thesis document.
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