This programme will equip STEM graduates with the ability to apply methods of statistics and data science to solve complex real-world problems across a broad range of fields, from global health and epidemiology to finance and investment. You will acquire the knowledge and skills required to lead innovation and spearhead change in a data-driven world.
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.
The degree is expected to be accredited by the Institute of Mathematics and its Applications (IMA)* and Royal Statistical Society (RSS)*.
*Accreditation is pending approval.
Who is this course for?
The MSc is suitable for graduates who have a STEM degree (Science, Technology, Engineering, or Maths) with a significant numerical component.
This MSc is ideal for those wanting to pursue a career in statistics and data science across a broad range of sectors, from global health organisations to governments, financial sector, and food industries.
What you'll learn
The fundamental concepts in statistical modelling, data science and stochastic processes.
How to use statistics and data science to create systems that can extract insights from big data and predict future outcomes in real-world applications.
Effectively communicate with a range of stakeholders.
Key transferable skills for employability: working in teams, digital fluency, and problem-solving.
In semester 2, you can choose one of the specialist pathways, on which you will develop expertise in a specific area.
Global Health and Epidemiology Pathway
Machine Learning for Investment Science Pathway
Statistics Pathway
Accreditation
As a new programme, our Applied Statistics and Data Science MSc is pending accreditation by the Institute of Mathematics and its Applications (IMA) and the Royal Statistical Society (RSS). The programme is expected to be fully accredited in 2026, as soon as the first cohort graduates.
Course content
Discover what you'll learn, what you'll study, and how you'll be taught and assessed.
Semester one
In semester one you will study the mathematical foundations of data science and statistical models to develop your understanding of applied statistics and be able to choose your specialist pathway for further study in semester two.
MATH501
Mathematical Foundations of Data Science
S1
MATH502
Statistical Models and Foundations of Stochastic Processes
S1
Any optional modules listed above are illustrative only and may vary from year to year. Modules may be subject to minimum student numbers being achieved and staff availability. This means that the availability of specific optional modules cannot be guaranteed.
Semester two
In semester 2, you can choose one of the following pathways:
Global Health and Epidemiology Pathway:
If you are interested in predicting future global heath challenges and optimising international responses to the next pandemic, choose the Global Health and Epidemiology Pathway.
Compulsory Module Code
Module title
Semester
MATH531
Infectious Disease Modelling
S2
MATH532
Spatial and Structural Heterogeneity in Infectious Disease Modelling
S2
MATH533
Statistics for Epidemiology
S2
Different epidemic models (SIR/SIS/SEIR) and how to use these models to generate forecasts.
Regression and smoothing models for spatial data and simulation of outbreaks on networks.
Statistical forecasting models for timeseries data.
How to evaluate public health impact through appropriate utility functions and target outcomes.
Machine Learning for Investment Science Pathway:
If you are interested in employing the power of machine learning to understand how to model, predict, and interpret international financial trends and economic forces, choose Machine Learning for Investment Science Pathway.
Compulsory Module Code
Module title
Semester
MATH561
Quantitative Risk Management
S2
MATH562
Mathematical Finance
S2
MATH563
Machine Learning for Finance
S2
Mean-variance portfolio optimisation and different risk measures for financial applications.
Computation of default probabilities and loss distributions in credit risk models.
Finding a fair price of financial derivatives and constructing hedging strategies.
Unsupervised learning techniques for gaining insight on high-dimensional data.
Statistics Pathway:
For a deep dive into the mathematical methods of data science as well as to acquire a broad understanding of the applications of statistical methods and machine learning, choose Statistics Pathway. (Please note, this pathway is only suitable for entrants holding a BSc in Mathematics, Theoretical Physics, or equivalent.)
Compulsory Module Code
Module title
Semester
MATH568
Stochastic Theory and Methods in Data Science
S2
MATH533
Statistics for Epidemiology
S2
MATH563
Machine Learning for Finance
S2
Broad understanding of the applications of statistical methods and machine learning.
Deep dive into the mathematical methods of data science.
Any optional modules listed above are illustrative only and may vary from year to year. Modules may be subject to minimum student numbers being achieved and staff availability. This means that the availability of specific optional modules cannot be guaranteed.
Final project
You will undertake your research project over the summer. You will work in groups or individually on research topics or industrial problems in applied statistics and data science. The project might involve working with industrial partners where appropriate.
Module Code
Module title
Semester
MATH556
Final Project
Summer S3
Any optional modules listed above are illustrative only and may vary from year to year. Modules may be subject to minimum student numbers being achieved and staff availability. This means that the availability of specific optional modules cannot be guaranteed.
How you'll learn
We are proud of our record on teaching quality. Our MSc consists of innovative mathematics modules delivered by world-renowned experts. We use a range of teaching methods, including lectures and tutorials, video content, interactive learning sessions and one-to-one project supervision. Opportunities for individual discussions are provided for every taught module, for example via online forums or staff office hours.
How you're assessed
Each module has an assessment scheme tailored to fit its syllabus. This might include a traditional written exam, assignments, individual and group projects, or online exercises with automatic marking and immediate feedback. The programme also includes dissertation modules assessed through independent and group project work.
Liverpool Hallmarks
We have a distinctive approach to education, the Liverpool Curriculum Framework, which focuses on research-connected teaching, active learning, and authentic assessment to ensure our students graduate as digitally fluent and confident global citizens.
Course options
Studying with us means you can tailor your degree to suit you. Here's what is available on this course.
You will study in the Department of Mathematical Sciences, part of the School of Physical Sciences. It is a friendly, supportive environment and you will be taught by highly qualified staff, who have first-class reputations in teaching and research.
Virtual tour
Supporting your learning
From arrival to alumni, we’re with you all the way:
Careers and employability support, including help with career planning, understanding the job market and strengthening your networking skills
A dedicated student services team can help you get assistance with your studies, help with health and wellbeing, and access to financial advice
Support for students with differing needs from the Disability advice and guidance team. They can identify and recommend appropriate support provisions for you.
Studying Applied Statistics and Data Science will equip you with the ability to analyse, interpret, and act on data, making you a key player in today’s data-focused world.
Whether you are interested in global health and epidemiology or finance and investment, these skills are essential for driving innovation and making informed decisions.
Data scientists, statisticians, and data analysts are in high demand and are offered rewarding salaries due to the critical role they play in organisations.
A career in data science offers you the opportunity to solve complex problems, unlock valuable insights, and drive impactful decisions across diverse industries, all while being at the forefront of technology and innovation.
Career support from day one to graduation and beyond
Applied statistics and Data Science knowledge and skills are sought after in many sectors such as agriculture, economics, education, engineering, medicine, and transport.
Typical employers include:
Financial and banking companies
Insurance and accountancy firms
Retail and e-commerce
IT companies
Logistics and transport companies
NHS and private health companies
Government organisations
Market research organisations
Pharmaceutical and healthcare industry
Universities and other education bodies.
Sectors such as telecom, oil and gas, and sports and fitness are increasingly using statistics and big data for planning and decision-making.
The data science market size is expected to grow from USD 95.3.9 billion in 2021 to USD 322.9 billion by 2026.
worlddatascience.org
Fees and funding
Your tuition fees, funding your studies, and other costs to consider.
Tuition fees
UK fees (applies to Channel Islands, Isle of Man and Republic of Ireland)
Full-time place, per year
£13,300
International fees
Full-time place, per year
£29,900
Fees stated are for the 2025-26 academic year.
Tuition fees cover the cost of your teaching and assessment, operating facilities such as libraries, IT equipment, and access to academic and personal support.
If you're a UK national, or have settled status in the UK, you may be eligible to apply for a Postgraduate Loan worth up to £12,167 to help with course fees and living costs. Learn more about fees and funding.
Additional costs
We understand that budgeting for your time at university is important, and we want to make sure you understand any course-related costs that are not covered by your tuition fee. This could include buying a laptop, books, or stationery.
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.
International qualifications
If you hold a bachelor’s degree or equivalent, but don’t meet our entry requirements, you could be eligible for a Pre-Master’s course. This is offered on campus at the University of Liverpool International College, in partnership with Kaplan International Pathways. It’s a specialist preparation course for postgraduate study, and when you pass the Pre-Master’s at the required level with good attendance, you’re guaranteed entry to a University of Liverpool master’s degree.
International applicants who do not meet the minimum required standard of English language can complete one of our Pre-Sessional English courses to achieve the required level.
English language qualification
Requirements
IELTS
6.5 overall, with no component below 5.5
TOEFL iBT
88 overall, with minimum scores of listening 19, writing 19, reading 19 and speaking 20
Duolingo English Test
120 overall, with no component below 105
Pearson PTE Academic
61 overall, with no component below 59
LanguageCert Academic
70 overall, with no skill below 65
PSI Skills for English
B2 Pass with Merit in all bands
INDIA Standard XII
National Curriculum (CBSE/ISC) - 75% and above in English. Accepted State Boards - 80% and above in English.
WAEC
C6 or above
PRE-SESSIONAL ENGLISH
Do you need to complete a Pre-Sessional English course to meet the English language requirements for this course?
The length of Pre-Sessional English course you’ll need to take depends on your current level of English language ability.
Liverpool bursts with diversity and creativity which makes it ideal for you to undertake your postgraduate studies and access various opportunities for you and your family.
To fully immerse yourself in the university experience living in halls will keep you close to campus where you can always meet new people. Find your home away from home.
Discover what expenses are covered by the cost of your tuition fees and other finance-related information you may need regarding your studies at Liverpool.
Contact us
Have a question about this course or studying with us? Our dedicated enquiries team can help.
