Data Science – online

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 English language tests and qualifications.

Application requirements

• CV that includes your personal details with a history of your education and employment to date
• personal statement
• two original signed references on headed paper
• academic transcripts and degree certificates

If you do not already have a degree, you will be required to provide a 500-word (minimum) statement detailing your professional learning and experience.

For more guidance, see supporting documents and references for postgraduate taught programmes.

English language proficiency

If English is not your first language, you may need to provide an English language test score to evidence your English language ability. See approved English language tests and scores for this course.

Months of entry

March, September, October

Course content

The Data Science programme will allow you to gain skills in demand by global, commercial, financial and research institutions.

This course covers a mix of practical and theoretical topics essential to careers in many data-driven sectors. You will learn how to approach real-world data problems and 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

• Study research methods in data science and understand contemporary issues in the field
• Discover methods of datamining, from the underlying core theory to practical understanding
• Learn how to create compelling information visualisations and how to verify visual displays of data
• 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
• Study optimisation techniques, how to curate and use large quantities of data, and how to model and simulate complex systems of data

Careers

Data Science is one of the world's fastest growing job types. Qualified data scientists are highly sought after in a wide range of sectors, including business and finance, intelligence services, cybersecurity, healthcare, conservation, the arts, and more.

We are committed to supporting your career aspirations, whatever stage of your career you are at.

Our Careers Centre can help connect you to our extensive global alumni community for advice and mentoring, as well as offering career coaching, bespoke workshops, employer connections, experiences, and application support.

Our International Education and Lifelong Learning Institute offers an extensive suite of courses to support your academic and professional skills development.

Fees and funding

The University of St Andrews is committed to supporting you through your studies, regardless of your financial circumstances.

Successful entrants starting online studies at Masters level can apply for scholarships of up to £6000 towards the course fees.

• St Leonard's funding opportunities
• Graduate discount (15% off tuition fees)