Program M.S. in Computer Science Katz School of Science and Health Yeshiva University

M.S. in Computer Science

Amerika Serikat

1

Apa yang akan saya pelajari?

The M.S. in computer science is for computer scientists who want to solve bigger, more challenging computing problems at higher levels or who want to specialize in emerging fields. The Katz School's research-intensive master's in computer science balances theory, systems and applications, opening doors to senior positions in R&D and fast-growing specializations like AI, cybersecurity, networking and software development and preparing students for entry into selective Ph.D. programs. Learn to take a structured approach to designing and developing computer systems and solutions, including mobile applications, cloud computing, augmented reality, and intelligent applications. Work with traditional computing theory and algorithms, as well as algorithms that benefit from vast amounts of data and develop the skills to lead new projects and technologies.

Saya termasuk departemen apa?

Katz School of Science and Health

Pilihan kuliah

Purna Waktu (16 bulan)

Biaya kuliah
US$32.512,50 (Rp 509.470.878) per tahun
Registration Fee Per Semester: $65
Tanggal mulai

Januari 2027

Tempat

Beren Campus

245 Lexington Avenue,

New York,

10016, Northeast, United States

Purna Waktu (16 bulan)

Biaya kuliah
US$32.512,50 (Rp 509.470.878) per tahun
Registration Fee Per Semester: $65
Tanggal mulai

Januari 2027

Tempat

Resnick Campus

1300 Morris Park Avenue and 1165 Morris Park Avenue,

New York,

10461, Northeast, United States

Persyaratan masuk

Untuk mahasiswa internasional

Bachelors degree - with typical majors in computer science, data science, engineering, physics, mathematics, statistics and quantitative sciences. Majors such as economics, finance, and psychology are also eligible if you can demonstrate a strong quantitative background. Prerequisites - two university courses in high-level programming and one course in each of the following: mathematical probability and statistics, multivariable calculus and linear algebra. Professional experience may be considered.

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