Program Spatio-temporal Analytics and Big Data Mining MSc Engineering Sciences UCL (University College London)

Spatio-temporal Analytics and Big Data Mining MSc

Inggris

8

Apa yang akan saya pelajari?

Gain advanced understanding of GIScience, databases, spatial analysis, data mining, analytics and more, on this one-year MSc programme. You'll build the specialist expertise needed to analyse, represent, and model large and complex spatio-temporal datasets. This specialist MSc will train you to extract insights from large amounts of data to discover patterns and knowledge from spatio-temporal data. Teaching combines theory with extensive hands-on experience to cover the diverse facets of big data – from the principles of spatio-temporal analysis and computation guided by statistical and machine learning techniques, to space time data, parallel computing, system design, social media analysis, text mining, and programming. You'll apply your skills to real-world scenarios, to create models for social media listening, understand weather patterns, predict earthquakes, and determine global warming trends. You’ll also learn all about the ethical and social angles to big data that are needed in the working world. This ''Bigger Picture'' element will help you understand the context of your work, so you can go out and create and deliver projects that benefit both people and the planet. On top of learning practical skills from programming languages (R and Python) and scientific writing, there’s a big emphasis on developing transferable skills. These include communication, project management, and critical thinking – which, when coupled with your tech expertise, will make you highly sought after for roles in industries including data science, social media analysis, finance, health, telecoms, and urban planning. This programme is ideal if you want to elevate your expertise in big data to advance in a fulfilling career, or go on to further research. We welcome applications from recent graduates in engineering, architecture, physical or computational sciences, mathematics, earth sciences, physics or related fields, and from those with recent professional experience.

Saya termasuk departemen apa?

Engineering Sciences

Pilihan kuliah

Purna Waktu (1 tahun)

Biaya kuliah
£42.700,00 (Rp 864.107.920) per tahun
A fee deposit will be charged at 10 percent of the first year fee.

Ini adalah biaya tetap

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

Batas akhir pendaftaran

Direncanakan June 2027

Tanggal mulai

September 2026

Tempat

UCL (University College London) - Bloomsbury Campus

Gower Street,

London,

Greater London,

WC1E 6BT, Southern England, United Kingdom

Purna Waktu (1 tahun)

Biaya kuliah
£42.700,00 (Rp 864.107.920) per tahun
A fee deposit will be charged at 10 percent of the first year fee.

Ini adalah biaya sementara yang belum ditetapkan

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

Tanggal mulai

September 2027

Tempat

UCL (University College London) - Bloomsbury Campus

Gower Street,

London,

Greater London,

WC1E 6BT, Southern England, United Kingdom

Persyaratan masuk

Untuk mahasiswa internasional

A minimum of an upper second-class UK Bachelor's degree in a relevant discipline (such as engineering, mathematics, computer science, environmental science, human or physical geography, geology, forestry, oceanography, or physics) or an overseas qualification of an equivalent standard. Applicants with relevant professional experience are also considered.

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Info tentang UCL (University College London)

UCL adalah universitas global di London, dengan studi, riset dan prospek karier kelas dunia di salah satu kota paling beragam dan dinamis di dunia.

  • Peringkat ke-9 di dunia (QS WUR 2026)
  • Peringkat ke-2 di dunia untuk kekuatan riset (REF 2021)
  • Program beragam, dengan jurusan terbaik dunia di bidangnya
  • Di pusat London, kota pelajar terbaik di Eropa (QS 2026)

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