Program Master of Science in Artificial Intelligence Katz School of Science and Health Yeshiva University

Master of Science in Artificial Intelligence

Amerika Serikat

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Apa yang akan saya pelajari?

Artificial intelligence is fundamentally reshaping the workforce and global economy, redefining how work is performed and creating transformative opportunities across organizations and industries worldwide. The Katz School’s master’s in artificial intelligence equips students with the expertise to design, implement, and lead responsible AI solutions that operate reliably at scale. Through rigorous training in modern intelligent systems and hands-on, research-driven learning, you'll develop the multidisciplinary skills necessary to advance innovation, collaborate effectively with intelligent technologies, and deliver AI solutions that address real-world challenges across diverse sectors. You'll learn to: Build intelligent systems for spatial computing, digital twins, and extended reality Architect modern AI data platforms for RAG, multimodal search, and real-time inference, foundations for future AGI systems Develop AI-augmented software using advanced coding assistants and agentic workflows Engineer secure multi-agent systems that coordinate autonomous AI capabilities Deliver end-to-end intelligent applications through hands-on, project-driven development.

Saya termasuk departemen apa?

Katz School of Science and Health

Pilihan kuliah

Purna Waktu (21 bulan)

Biaya kuliah
US$29.725,71 (Rp 465.801.945) 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 (21 bulan)

Biaya kuliah
US$29.725,71 (Rp 465.801.945) per tahun
Registration Fee Per Semester: $65
Tanggal mulai

Agustus 2027

Tempat

Wilf Campus

500 West 185th Street,

New York,

10033, 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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