Program MSc Business Analytics (China) Faculty of Humanities and Social Sciences University of Liverpool

Tentang jurusan ini

Tentang jurusan ini
- Ikhtisar
- Departemen
Pilihan kuliah
Persyaratan masuk
- Internasional

Apa yang akan saya pelajari?

The MSc Business Analytics programme is a response to the rapidly changing business environment. It aims to equip the next generation of top talent with the knowledge and tools they need to integrate big data analytics into their existing professions.As a Quantitative Techniques for Economics and Management (QTEM) member school, IBSS is able to provide students with additional communication and learning opportunities at 25 top schools worldwide.MSc Business Analytics serves as IBSS’s flagship programme within this network. Graduates of this programme go on to hold positions in data or information analysis, technical consultancy, IT project management, and customer relationship management (CRM) analysis. As with all IBSS programmes, the MSc Business Analytics programme also features a strong international component, preparing its students for global careers.

Saya termasuk departemen apa?

Faculty of Humanities and Social Sciences

Pilihan kuliah

Purna Waktu (1.5 tahun)

Biaya kuliah

£120.000,00 (Rp 2.428.406.332) per tahun

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Batas akhir pendaftaran

15/06/2027

Tanggal mulai

September 2027

Tempat

Xi’an Jiaotong-Liverpool University (XJTLU)

No. 111, Ren'ai Road, Suzhou Industrial Park (SIP),

Suzhou City,

Jiangsu,

215123, Southern Jiangsu, China

Persyaratan masuk

Untuk mahasiswa internasional

Top 100 of 2025 Shanghai Ranking or World-class universities or First-class disciplines (MoE, Peoples Republic of China): 75 per cent or above (Weighted Average Mark)Other universities: 80 – 85 per cent or above (Weighted Average Mark), depending on your undergraduate institution. UK:UK upper second class honours (2:1) or equivalentNorth America:3.0 Cumulative GPA (out of 4) or3.2 Cumulative GPA in the final two years of your undergraduate programme Bachelor Degree in finance, accounting, economics, management, marketing, science or engineering, preferable to have knowledge of Econometrics, Statistics, Operations Research, and programming (Python, Matlab, R, Stata).

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