Data Analytics at University of Glasgow - UCAS

Course summary

*We also offer a part-time online MSc in Data Analytics Data is becoming an ever increasing part of modern life, yet the talent to extract information and value from complex data is scarce. This Masters will provide you with a thorough grounding in state-of-the art methods for learning from data, both in terms of statistical modelling and computation. You will also gain practical hands-on experience in carrying out various data-driven analytical projects. Previous study of Statistics or Computing Science is not required. WHY THIS PROGRAMME

  • Statistical analysis and data mining is ranked 2nd in the Top 10 Most In-Demand Hard Skills 2018, Linkedin.
  • We work closely with The Data Lab, an internationally leading research and innovation centre in data science. Established with an £11.3 million grant from the Scottish Funding Council, The Data Lab will enable industry, public sector and world-class university researchers to innovate and develop new data science capabilities in a collaborative environment. Its core mission is to generate significant economic, social and scientific value from data. Our students will benefit from a wide range of learning and networking events that connect leading organisations seeking business analytics skills with students looking for exciting opportunities in this field.
  • This programme qualifies for the prestigious Data Lab Masters Scholarships available for Scottish/EU students.
  • The Statistics Group at Glasgow is a large group, internationally renowned for its research excellence.
  • Our expertise spans topics including: biostatistics and statistical genetics; environmental statistics; statistical methodology; statistical modelling and the scholarship of learning and teaching in statistics.
PROGRAMME STRUCTURE Core Courses PROBABILITY (LEVEL M) STATISTICAL INFERENCE (LEVEL M) REGRESSION MODELS (LEVEL M) INTRODUCTION TO R PROGRAMMING (LEVEL M) PROGRAMMING AND SYSTEMS DEVELOPMENT (H) BAYESIAN STATISTICS (LEVEL M) ADVANCED PREDICTIVE MODELS BIG DATA ANALYTICS (LEVEL M) DATA ANALYSIS SKILLS (LEVEL M) DATA MINING Optional Courses Choose 1 from: WEB SCIENCE (M) INFORMATION VISUALISATION (M) Project One of: STATISTICS PROJECT AND DISSERTATION STATISTICS PROJECT AND DISSERTATION (WITH PLACEMENT)


How to apply

International applicants

International applicant information can be found via gla.ac.uk by searching for 'international'.

Entry requirements

A first degree equivalent to a UK Upper Second Class Honours degree, normally with a substantial Mathematics component (at least equivalent to Level-1 courses in Mathematics and Level-2 courses in Calculus and Linear Algebra at the University of Glasgow). This programme is not available to recent graduates who have been awarded an undergraduate degree in Statistics from the University of Glasgow. Only applications that meet or exceed our stated entry requirements will go forward for consideration. Any application that does not will be automatically rejected. Applicants will be made offers based on their relative performance compared to other applicants, considering both current GPA to date or degree classification; English language level achieved to date; and the relevance of an applicant’s academic background. If an offer is made, it may be unconditional or conditional on completing a degree or obtaining the required English language scores.


Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

All fees are published on the University of Glasgow website. https://www.gla.ac.uk/postgraduate/feesandfunding/

Sponsorship information

Sponsorship and funding information can be found via gla.ac.uk by searching for 'scholarships'.

Data Analytics at University of Glasgow - UCAS