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Applied Statistics and Data Science at University of Liverpool - UCAS

Course options

Course summary

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. Programme overview 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. 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.

Modules

Full module details are available on the course page on the University website.

Assessment method

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.

Qualified teacher status (QTS)

To work as a teacher at a state school in England or Wales, you will need to achieve qualified teacher status (QTS). This is offered on this course for the following level:

  • Course does not award QTS

How to apply

International applicants

Applications from international students are welcomed. Country specific information on entry requirements is listed on our website: https://www.liverpool.ac.uk/international/countries/. All applicants must have reached a minimum required standard of English language and are required to provide evidence of this, unless you’re from a majority English speaking country. We accept a variety of international language tests and country-specific qualifications which can be found on our international webpages. 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.

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, Maths or Medicine), with a significant numerical component.


Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

Please see the course page on the University website for full fee details.
Applied Statistics and Data Science at University of Liverpool - UCAS