Program Statistics and Artificial Intelligence MSc School of Mathematical Sciences Lancaster University

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Apa yang akan saya pelajari?

Drive the future of AI with advanced statistical and machine learning expertise. With our ultra-modern curriculum, the MSc in Statistics and Artificial Intelligence will empower you to go beyond off-the-shelf AI tools. You’ll gain a deep understanding of the powerful statistical techniques underpinning modern AI, enabling you to apply and modify these models for real-world challenges.Lancaster University’s School of Mathematical Sciences is at the forefront of mathematical AI research, which means you will learn from leaders in this field. We have recently been awarded major grants of £12 million and £9 million relating to AI and machine learning to establish the Mathematics for AI and Real-World Systems (MARS) group and lead the Probabilistic AI Hub.

Saya termasuk departemen apa?

School of Mathematical Sciences

Pilihan kuliah

Purna Waktu (1 tahun)

Biaya kuliah

£30.000,00 (Rp 607.101.583) per tahun

Ini adalah biaya tetap

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

Tanggal mulai

Oktober 2026

Tempat

Main Campus

Lancaster, Bailrigg,

Lancaster,

Lancashire,

LA1 4YW, Northern England, United Kingdom

Purna Waktu (1 tahun)

Biaya kuliah

£30.000,00 (Rp 607.101.583) per tahun

Ini adalah biaya tetap

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

Tanggal mulai

April 2027

Tempat

Main Campus

Lancaster, Bailrigg,

Lancaster,

Lancashire,

LA1 4YW, Northern England, United Kingdom

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Persyaratan masuk

Untuk mahasiswa internasional

2:2 Hons degree (UK or equivalent) in Mathematics or Statistics.

We may also consider non-standard applications where you have studied a degree in other quantitative subjects that include courses in probability, statistics, linear algebra, and calculus.

You should clearly be able to demonstrate how your skills have prepared you for relevant discussions and assessments during postgraduate study.

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