Program Postgraduate Certificate in Mathematical Modelling Faculty of Science The University of Auckland

Tentang jurusan ini

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

Apa yang akan saya pelajari?

At present, mathematical modelling is enjoying a high degree of public awareness, with real-world applications such as COVID-19 and climate modelling frequently appearing in the news. Consequently, there is a growing need for a broad range of realistic modelling techniques and expertise in advanced computational methods. The PGCertMathModel provides a pathway for modelling scientists and engineers to upskill. The PGCertMathModel comprises core Engineering Science and Mathematics courses as well as electives.

Saya termasuk departemen apa?

Faculty of Science

Pilihan kuliah

Purna Waktu (.5 tahun)

Biaya kuliah

NZ$29.128,80 (Rp 272.231.776) per tahun

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

Tanggal mulai

Juli 2027

Tempat

City Campus

22 Princes Street,

Auckland,

1142, North Island, New Zealand

Purna Waktu (.5 tahun)

Biaya kuliah

NZ$29.128,80 (Rp 272.231.776) per tahun

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

Tanggal mulai

Maret 2027

Tempat

City Campus

22 Princes Street,

Auckland,

1142, North Island, New Zealand

Persyaratan masuk

Untuk mahasiswa internasional

Taught 60 points

You must have completed an undergraduate degree in a relevant subject at a recognised university (or similar institution) with a GPE of 3.0.

You must have completed an introductory programming course in MATLAB, C, Python, or similar coding language, and an advanced undergraduate course on partial differential equations, or the equivalents as approved by the Programme Director.

Relevant subjects include analytics, applied mathematics, artificial intelligence, computer science, data science, engineering, operations research, physics, software engineering, structural engineering, electrical engineering, statistics, or technology.

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