Data Analytics MSc

*We also offer a part-time online MSc in Data Analytics<br/><br/>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.<br/><br/><strong>WHY THIS PROGRAMME</strong><br/><br/><br/>• Our expertise spans topics including: biostatistics and statistical genetics; environmental statistics; statistical methodology; statistical modelling and the scholarship of learning and teaching in statistics.<br/><br/><br/><br/>• The Statistics Group at Glasgow is a large group, internationally renowned for its research excellence.<br/><br/><br/><br/>• 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.<br/><br/><br/><br/>• The Masters in Data Analytics is accredited by the Royal Statistical Society.<br/><br/><br/><br/>• This programme qualifies for the prestigious Data Lab Masters Scholarships, available for Scottish students.<br/><br/><br/><br/><strong>PROGRAMME STRUCTURE</strong><br/><br/>Students are required to take 10 compulsory taught courses and select 1 taught course from the optional courses in semester 2.<br/><br/>**Semester 1<br/>Core courses**<br/>Probability (Level M)<br/>Regression Models (Level M)<br/>Statistical Inference (Level M)<br/>Database and Data Analytics (M)<br/>Introduction to statistical programming in R and Python<br/><br/>**Semester 2<br/>Core courses**<br/>Advanced Predictive Models<br/>Bayesian Statistics (Level M)<br/>Big Data Analytics (Level M)<br/>Data Analysis Skills (Level M)<br/>Data Mining and Machine Learning<br/><br/><strong>Optional courses (choose 1)</strong><br/>Information Visualisation (M)<br/>Environmental and Ecological Statistics (Level M)<br/>Spatial Statistics (Level M)<br/>Statistical Genetics (Level M)<br/>Functional Data Analysis (Level M)<br/>Design of Experiments (Level M)<br/><br/><strong>Project (summer)</strong><br/>One of: <br/>Statistics Project and Dissertation<br/>Statistics Project and Dissertation (with Placement)<br/><br/><strong>CAREER PROSPECTS</strong><br/><br/>Our graduates have an excellent track record of gaining employment in many sectors including medical research, the pharmaceutical industry, finance and government statistical services, while others have continued to a PhD.