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Data Science - online at University of St Andrews - UCAS

Course options

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

The Data Science course develops core skills in data science, covering a mix of practical and theoretical issues integral to careers in many data driven sectors. You will learn how to approach real-world data problems and how to apply your skills in critical thinking, problem solving and analysis. The Data Science course is an online self-paced programme, with options to study for a PGCert, PGDip and an MSc. Highlights

  • The programme will teach research methods in data science and help you to understand contemporary issues in the field.
  • You will discover methods of datamining, from the underlying core theory to practical understanding.
  • The programme will help you to understand how to create effective information visualisations and how to engage critically with visual displays of data.
  • You will use industry-standard computing resources to employ the full Data Science workflow from data acquisition and processing, through model development and selection, to final deployment and maintenance.
  • You will learn optimisation techniques, how to curate and utilise large quantities of data, and how to model and simulate complex systems of data.

Modules

Please see the Course details section for information: https://www.st-andrews.ac.uk/subjects/computer-science/data-science/

Assessment method

Most modules are assessed through coursework exercises, presentations and tests.


Entry requirements

For entry onto the MSc: A 2.1 undergraduate Honours degree in any subject from the UK or the equivalent international qualification. If you studied your first degree outside the UK, see the international entry requirements. We will also consider applicants who do not have an undergraduate degree. In these circumstances we expect candidates to have at least five years of relevant professional learning. The Admissions team will holistically assess your application and determine the best route of entry for you. In some cases, this may be onto the PGCert in the first instance where students will have the opportunity to progress and graduate with a full Masters degree. Students are also required to have a desired level of English language proficiency. See English language tests and qualifications.


English language requirements

For the current English Language requirements please visit the English language requirements for postgraduate students on the University of St Andrews website.

English language requirements for postgraduate students

https://www.st-andrews.ac.uk/subjects/entry/language-requirements/postgraduate/


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

For the most current information on course fees please visit https://www.st-andrews.ac.uk/study/fees-and-funding/postgraduate/taught/.

Sponsorship information

The University of St Andrews is committed to attracting the very best students, regardless of financial circumstances. Find out more about the scholarships (https://www.st-andrews.ac.uk/study/fees-and-funding/scholarships/) and postgraduate loans (https://www.st-andrews.ac.uk/study/fees-and-funding/postgraduate/loans/) available.

Data Science - online at University of St Andrews - UCAS