Applied Statistics and Data Science MSc
University of Liverpool
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Qualification

Professional Masters

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Location

Liverpool Campus

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Study mode

Full Time

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Start date

SEP-25

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Duration

1 Year

Course info

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Qualification

Professional Masters

Location

Liverpool Campus

Study mode

Full Time

Start date

SEP-25

Duration

1 Year

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Mathematics
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Course info

IntroductionEvery organisation, in every industry, needs to know how to analyse and translate data into meaningful insights, to drive innovation and positive outcomes. The Applied Statistics and Data Science MSc programme will develop your knowledge and skills to enable you to meet the needs of modern society. The MSc will take you from the foundations of data science, statistical models, and stochastic processes to the mastery of contemporary machine learning methods and programming skills. ...Read more

Introduction

Every organisation, in every industry, needs to know how to analyse and translate data into meaningful insights, to drive innovation and positive outcomes. The Applied Statistics and Data Science MSc programme will develop your knowledge and skills to enable you to meet the needs of modern society. The MSc will take you from the foundations of data science, statistical models, and stochastic processes to the mastery of contemporary machine learning methods and programming skills. You will learn how to use powerful statistical and data science methods to create systems capable of extracting compelling insights from big data and predicting outcomes in real-world applications.

In semester two, you will develop specialist knowledge in selected areas of applied statistics and data science by choosing one of the following pathways:

  • Global Health and Epidemiology: This pathway will equip you with a unique set of skills to tackle global heath challenges and optimise responses to epidemiological threats. Modules include Infectious Disease Modelling, Spatial and Structural Heterogeneity in Infectious Disease Modelling, and Statistics for Epidemiology.
  • Machine Learning for Investment Science: This pathway will enable you to employ the power of machine learning to understand how to model, predict, and interpret international financial trends and economic forces. Modules include Quantitative Risk Management, Mathematical Finance, and Machine Learning for Finance.
  • Statistics: This pathway will provide you with a broad understanding of the applications of statistical methods and machine learning, while also offering a deep dive into the mathematical methods of data science. (This pathway is only suitable for entrants holding a BSc in Mathematics, Theoretical Physics, or equivalent.) Modules include Machine Learning for Finance, Statistics for Epidemiology, and Stochastic Theory and Methods in Data Science.

This exciting and stimulating programme is offered by the Department of Mathematical Sciences and delivered by world-leading experts in their field who are accomplished teachers and researchers, working to tackle real-world problems in epidemiology, financial mathematics, and more! The Department hosts the Mathematics Centre of Enhancement in Education, which supports colleagues to develop innovative teaching methods and ensure that you are taught in the most effective and engaging way.

Key stats

Mathematics
WUSCA ranking:
WUSCA student ranking
These are the 2024 rankings, based on ratings given by past and current students.
11/101
CUG Subject Ranking
CUG Subject Ranking
Source: Complete University Guide 2025
28th
CUG Ranking
CUG Ranking
Source: Complete University Guide 2025
19th
What students say
F
Flo
28 Feb 24

Great time with great people..Read more

Entry requirements

We accept a 2:2 honours degree from a UK university, or an equivalent academic qualification from a similar non-UK institution. This degree should be in a STEM subject (Science, Technology, Engineering, or Maths) with a significant numerical component.

Tuition fees

Students living in

England

£13,300 per year

This information is updated by IDP Connect, or in some cases the institution directly.
Please note: The fees might vary so please make sure you contact the institution for up to date information.

Students from England

£29,900 per year

This information is updated by IDP Connect, or in some cases the institution directly.
Please note: The fees might vary so please make sure you contact the institution for up to date information.

Students from EU

The amount you'll pay if you come to study here from somewhere in the EU.

The amount you'll pay if you come to study here from somewhere in the EU.

£29,900 per year

This information is updated by IDP Connect, or in some cases the institution directly.
Please note: The fees might vary so please make sure you contact the institution for up to date information.

Students from International

The amount you'll pay if you come to study here from a country outside the EU.

The amount you'll pay if you come to study here from a country outside the EU.

IDP Connect

Latest reviews

Latest Data Science reviews

Data Science
Data Science
F
Flo
28 Feb 24
Geographic Data Science MSc
Great time with great people...
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Uni info

University of Liverpool
Foundation Building, Brownlow Hill Liverpool L69 7ZX United Kingdom
Nearest train station: Liverpool Lime Street  0.2 miles away
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