Program Finance Analytics MSc King's Business School King's College London, University of London

Apa yang akan saya pelajari?

The world of finance is changing. With recent advances in technology, huge amounts of data are generated every second on a global scale. Finance professionals of the future will need to harness advanced technologies to process, analyse and ultimately extract key insights to tackle the challenges facing the industry. Students will acquire the knowledge and develop the skills and expertise needed for a broad range of careers in finance and other multinational organisations. With a focus on big data analytics, our Finance Analytics MSc is designed to provide you with rigorous applied training in quantitative and empirical methods in Finance. This course is suited to individuals with strong quantitative backgrounds who desire the skills & expertise needed for a range of highly skilled technical professions in finance. You'll study topics at the cutting edge of the finance industry such as data visualisation, big data, FinTech and robo-trading.

Saya termasuk departemen apa?

King's Business School

Pilihan kuliah

Purna Waktu (1 tahun)

Biaya kuliah
£45.100,00 (Rp 912.676.046) per tahun
Ini adalah biaya tetap
Tanggal mulai

September 2026

Tempat

Waterloo Campus

57 Waterloo Road,

London,

Greater London,

SE1 8WA, Southern England, United Kingdom

Purna Waktu (1 tahun)

Biaya kuliah
£45.100,00 (Rp 912.676.046) per tahun
Ini adalah biaya tetap
Tanggal mulai

September 2026

Tempat

King's College London, University of London

Strand Campus,

London,

Greater London,

WC2R 2LS, Southern England, United Kingdom

Persyaratan masuk

Untuk mahasiswa internasional

A minimum high 2:1 undergraduate Bachelors (honours) degree with a final mark of at least 65% or above. If you have a lower degree classification, or a degree in an unrelated subject, your application may be considered if you can demonstrate significant relevant work experience, or offer a related graduate qualification (such as a Masters or PGDip).

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