Program MSc Climate Change and Artificial Intelligence (AI) University of Reading

Tentang jurusan ini

Tentang jurusan ini
- Ikhtisar
Pilihan kuliah
Persyaratan masuk
- Internasional

Apa yang akan saya pelajari?

Help tackle the climate crisis, and gain expertise in a rapidly growing field of computer science, with our MSc Climate Change and Artificial Intelligence (AI) degree.Our MSc Climate Change and Artificial Intelligence (AI) is the first, and currently only, postgraduate course of its kind in the UK. Integrating climate science, data analytics, business, finance and artificial intelligence, it's a postgraduate qualification designed to help you stand out in the job market.It's suited to graduates from a wide range of disciplines – including agriculture, economics, engineering, environmental/geo and physical sciences, statistics, computer science, and quantitative social sciences. Building on your existing knowledge and expertise, you'll develop a flexible, cross-industry, future-focused skill set that will be valuable in any number of roles.

Pilihan kuliah

Purna Waktu (1 tahun)

Biaya kuliah

£31.650,00 (Rp 640.492.170) per tahun

Ini adalah biaya tetap

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

Batas akhir pendaftaran

Direncanakan July 2027

Tanggal mulai

September 2026

Tempat

University of Reading, Whiteknights Campus

Whiteknights Campus,

Reading,

Berkshire,

RG6 6AH, Southern England, United Kingdom

Purna Waktu (1 tahun)

Biaya kuliah

£31.650,00 (Rp 640.492.170) per tahun

Ini adalah biaya sementara yang belum ditetapkan

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

Batas akhir pendaftaran

01/07/2027

Tanggal mulai

September 2027

Tempat

University of Reading, Whiteknights Campus

Whiteknights Campus,

Reading,

Berkshire,

RG6 6AH, Southern England, United Kingdom

Persyaratan masuk

Untuk mahasiswa internasional

Normally a good undergraduate honours degree, 2:2 or above (or equivalent from an internationally recognised university) in a subject that demonstrates numeracy or quantitative reasoning. Suitable subjects can include agriculture, economics, engineering, environmental/geo and physical sciences, statistics, computer science, and quantitative social sciences.

You should also have some experience in coding or programming. Suitable applicants without any experience will be asked to undertake our free online Python FutureLearn course if offered a place.

Prior knowledge of meteorology is not necessary.

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