Program MSc Data Science Arden University

MSc Data Science

Inggris

Apa yang akan saya pelajari?

The demand for qualified data scientists far exceeds the current supply, and the industry faces a significant global skills gap. Our online MSc Data Science programme is designed to bridge this gap by providing you with the relevant practical skills and expertise needed to excel in data-related roles, giving you a pathway to establishing a fulfilling and potentially lucrative career. Our data science degree covers everything from fundamental mathematical concepts to advanced topics like artificial intelligence, machine learning, deep learning, and cloud computing. You'll master essential tools and programming languages such as Python, in addition to gaining proficiency in software tools like Jupyter Notebooks and Tableau. You’ll also tackle real-world scenarios through our programme's individual modules. Whether you're exploring the ethical and legal constraints of data science or delving into the intricacies of machine learning and deep learning, you'll be immersed in practical applications. Our "Learn by Doing" philosophy ensures you can apply your knowledge to make meaningful business decisions using real data sets. Ultimately, you'll gain genuine insight into how data science operates, from data gathering and processing to analysis for operational and strategic purposes -- developing a strong understanding of the ethical and legal considerations that shape the role of data science professionals.

Pilihan kuliah

Purna Waktu (1 tahun)

Biaya kuliah
£10.550,00 (Rp 213.497.390) per tahun
Ini adalah biaya sementara yang belum ditetapkan
Tanggal mulai

September 2027

Tempat

Online

Arden House,

Middlemarch Park,

Coventry,

CV3 4FJ, England, United Kingdom

Purna Waktu (1 tahun)

Biaya kuliah
£10.550,00 (Rp 213.497.390) per tahun
Ini adalah biaya tetap
Tanggal mulai

September 2026

Tempat

Online

Arden House,

Middlemarch Park,

Coventry,

CV3 4FJ, England, United Kingdom

Persyaratan masuk

Untuk mahasiswa internasional

Standard entry requirements: A 2.2 Honours degree in a numerate subject where many of the modules were mathematics-based. Examples include, but are not limited to maths, finance, computing, science, and engineering. Or an equivalent 2.2 Honours degree with 18 months of relevant computing work experience. Typical non-standard entry requirements: A minimum of 3 years of relevant work experience. Your work experience should be in a data-based role, for example, finance, engineering, science, data analysis, etc. You will need to have worked with maths and/or data analysis in your current role to be eligible.

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