Program Mathematical Artificial Intelligence PhD School of Mathematical Sciences Lancaster University

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Tentang jurusan ini
- Ikhtisar
- Departemen
Pilihan kuliah
Persyaratan masuk
- Internasional

Apa yang akan saya pelajari?

The MARS PhD in Mathematical Artificial Intelligence (AI) offers comprehensive research training focused on building mathematical approaches to address challenges in AI and dynamical systems modelling. This programme is designed to equip you with the mathematical tools and AI expertise needed to deeply understand the foundational principles of AI systems, enabling you to solve complex challenges across various industries.You can expect to work on data driven projects inspired by real-world applications in fields such as cyber security, engineering, environmental science and health.This programme offers you the opportunity to contribute innovative solutions at the intersection of mathematics and AI, advancing knowledge in these transformative areas.MARS PhD graduates will leave the programme prepared for impactful, research-led careers in academia, industry, or government.

Saya termasuk departemen apa?

School of Mathematical Sciences

Pilihan kuliah

Purna Waktu (4 tahun)

Biaya kuliah

£28.430,00 (Rp 575.329.933) per tahun

Monthly cost of living in Lancaster -990

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Tanggal mulai

Oktober 2027

Tempat

Main Campus

Lancaster, Bailrigg,

Lancaster,

Lancashire,

LA1 4YW, Northern England, United Kingdom

Purna Waktu (4 tahun)

Biaya kuliah

£28.430,00 (Rp 575.329.933) per tahun

Ini adalah biaya tetap

* Biaya yang tercantum di halaman ini untuk tujuan indikatif, silahkan baca informasi resmi dari universitas bersangkutan

Tanggal mulai

Januari 2027

Tempat

Main Campus

Lancaster, Bailrigg,

Lancaster,

Lancashire,

LA1 4YW, Northern England, United Kingdom

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Persyaratan masuk

Untuk mahasiswa internasional

As a minimum, applicants must have, or expect to obtain, a first class honours undergraduate degree or 2:1 undergraduate degree with a merit at master's in a subject with substantial mathematical content (e.g. mathematics, statistics, physics, computer science or engineering).

We may also consider non-standard applicants from those with relevant industry experience.

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