Overview
With the Data Science course from University of St Andrews 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.
Key facts
- 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.
Programme Structure
Courses include:
- Complex systems modelling and simulation:
- Data and Information Visualisation
- Data-Driven Systems
- Discrete Optimization
- End-to-End Machine Learning
- Machine Learning Algorithms
- Numeric Optimization
- Programming in Python
- Research methods in Data Science
Key information
Duration
- Part-time
- 36 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
Check IELTS test dates and locations. Book an IELTS test now!
Credits
Delivered
Campus Location
- St Andrews, United Kingdom
Disciplines
Data Science & Big Data View 71 other Masters in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
English requirements
Check IELTS test dates and locations. Book an IELTS test now!
Other requirements
General requirements
- For entry onto the MSc: A 2.1 undergraduate Honours degree in any subject from the UK or the equivalent international qualification.
- 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
Tuition Fee
-
International
6000 GBP/yearTuition FeeBased on the tuition of 18000 GBP for the full programme during 36 months. -
National
6000 GBP/yearTuition FeeBased on the tuition of 18000 GBP for the full programme during 36 months.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility