Program MSc Actuarial Science Bayes Business School (formerly Cass)

MSc Actuarial Science

Inggris

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Apa yang akan saya pelajari?

This MSc is for graduates with strong quantitative skills who wish to enter or are at the early stages of the actuarial profession. You’ll thrive here if you are ambitious, numerically confident, and motivated to apply mathematical, probabilistic, and modelling techniques to solve complex business problems. Typical career ambitions include qualifying as an actuary, or working in insurance, pensions, finance, investment, risk management, or consultancy. You’ll join a diverse peer group of aspiring actuaries and benefit from teaching informed by the latest industry practice. Career impact The MSc Actuarial Science has an outstanding reputation for producing highly employable graduates. Many alumni join leading employers such as Willis Towers Watson, Deloitte, Aviva, Prudential, and PwC, moving quickly into trainee actuary roles. Others pursue opportunities in actuarial analytics, risk management, investment, but also banking. As the first UK master’s to offer exemptions from the professional exams of the Institute and Faculty of Actuaries in the UK, the MSc provides a proven pathway to chartered status. Alumni progress into senior roles worldwide, shaping the future of life and general insurance, pensions, finance, and risk management.

Saya termasuk departemen apa?

Bayes Business School (formerly Cass)

Pilihan kuliah

Purna Waktu (1 tahun)

Biaya kuliah
£26.500,00 (Rp 536.273.065) per tahun
Ini adalah biaya sementara yang belum ditetapkan
Tanggal mulai

Oktober 2027

Tempat

Bunhill Row

106 Bunhill Row,

London,

Greater London,

EC1Y 8TZ, Southern England, United Kingdom

Purna Waktu (1 tahun)

Biaya kuliah
£26.500,00 (Rp 536.273.065) per tahun
Ini adalah biaya tetap
Tanggal mulai

Oktober 2026

Tempat

Bunhill Row

106 Bunhill Row,

London,

Greater London,

EC1Y 8TZ, Southern England, United Kingdom

Persyaratan masuk

Untuk mahasiswa internasional

A UK upper second-class degree or higher, or the equivalent from an overseas institution, in a highly quantitative programme, such as mathematics, statistics, or engineering. Work experience is not a requirement of this course.

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