Business and Data Science BA (Hons)

Inggris

1

Apa yang akan saya pelajari?

In this course, you’ll get an interdisciplinary education, designed to equip you with the knowledge and skills to apply current and emerging data science techniques in a business context. You will learn technical skills, apply business knowledge, gain practical experience, and cover topics like finance, organisational culture, data analytics, statistics, data visualisation and business strategy. Your learning will be theoretical, conceptual and practical, and always aligned with industry so you can gain hands-on skills for your career in data science. This course helps you to become: - Proficient in the integration of business acumen and data science tools and techniques - A data-driven decision maker at operational and strategic levels - Entrepreneurial and network driven - Globally, culturally, and ethically responsive - On successful completion of this course, you will be a data-focused business professional, capable of leveraging data to make decisions, solve problems, and create value in various industries and sectors. This course is subject to validation.

Saya termasuk departemen apa?

Business

Pilihan kuliah

Purna Waktu (3 tahun)

Biaya kuliah
£26.000,00 (Rp 526.154.705) per tahun
£26000 Per year

Ini adalah biaya tetap

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

Tanggal mulai

September 2025

Tempat

Regent's University London

Regents Park,

London,

Camden,

NW1 4NS, SOUTHERN ENGLAND, England

Mungkin ada beberapa persyaratan IELTS yang berbeda, tergantung jurusan yang kamu ambil

Info tentang Regent's University London

Mahasiswa di Regent's University London dapat menikmati kehidupan di pusat ibu kota Inggris, sambil menempuh studi di kampus yang tenang dan modern.

  • Kampus di pusat London
  • Populasi mahasiswa berasal dari 140 lebih negara
  • Akses mudah ke St. Pancras dan bandara London
  • Banyak pilihan beasiswa baik untuk program S1 dan S2&S3

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