Data Analytics MSc Postgraduate Program By Queen Mary University of London |Top Universities
Subject Ranking

# 87QS Subject Rankings

Tuitionfee

23,950 GBPTuition Fee/year

Main Subject Area

MathematicsMain Subject Area

Program overview

Main Subject

Mathematics

Degree

MSc

Study Level

Masters

In the first semester you will learn the core fundamentals of data analytics, machine learning and the statistics of data analysis, together with some of the relevant technology. You will then choose from module options which explore financial, business and scientific applications; such as in trading and risk systems, optimisation of business processes, and relationships across complex systems.You may choose to focus your studies in one of three areas: focusing on the statistical foundations, financial or scientific applications of data science.Over the summer you will work on a team research project directly related to industry practice, developing strong applied data science research skills. You may choose to collaborate with one of our industry partners on a real-world data problem.You do not need to be a programming expert before you join us. You will explore a variety of industry-standard tools (such as R and Python), which will allow you to choose which technologies you want to specialise in.

Program overview

Main Subject

Mathematics

Degree

MSc

Study Level

Masters

In the first semester you will learn the core fundamentals of data analytics, machine learning and the statistics of data analysis, together with some of the relevant technology. You will then choose from module options which explore financial, business and scientific applications; such as in trading and risk systems, optimisation of business processes, and relationships across complex systems.You may choose to focus your studies in one of three areas: focusing on the statistical foundations, financial or scientific applications of data science.Over the summer you will work on a team research project directly related to industry practice, developing strong applied data science research skills. You may choose to collaborate with one of our industry partners on a real-world data problem.You do not need to be a programming expert before you join us. You will explore a variety of industry-standard tools (such as R and Python), which will allow you to choose which technologies you want to specialise in.

Admission Requirements

92+
6+
3+
176+
62+

A 2:1 or above at undergraduate level in a subject with substantial mathematical content.

Jan-2000

Tuition fees

Domestic
10,900 GBP
International
23,950 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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