Big Data Science (Taught) Postgraduate Program By Queen Mary University of London |Top Universities

Big Data Science (Taught)

Subject Ranking

# =84QS Subject Rankings

Tuitionfee

21,250 GBPTuition Fee/year

Main Subject Area

Computer Science and Information SystemsMain Subject Area

Program overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

This programme is designed for those who want to pursue a career as data scientists, deriving valuable insights and business relevant information from large amounts of data. You will cover the fundamental statistical (eg machine learning) and technological tools (eg cloud platforms, Hadoop) for large-scale data analysis.

Program overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

This programme is designed for those who want to pursue a career as data scientists, deriving valuable insights and business relevant information from large amounts of data. You will cover the fundamental statistical (eg machine learning) and technological tools (eg cloud platforms, Hadoop) for large-scale data analysis.

Admission Requirements

92+
6+
176+
62+
You should have a 2nd-Class degree or above (good 2.1 minimum for Industrial Experience option) in electronic engineering, computer science, mathematics, or a related discipline. Applicants with unrelated degrees will be considered if there is evidence of equivalent industrial experience. For international students whose 1st language is not English, we require English language qualifications IELTS 6.5 or TOEFL 92 (internet based) or equivalent qualification.

Jan-2000

Tuition fees

Domestic
9,900 GBP
International
21,250 GBP

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

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