MSc in Data Analytics

While the amount of data being produced is proliferating at a staggering rate, the skills to extract information and the value we receive from it are both relatively scarce. If you are looking to start a career in data science, or even further your current career, our Online Data Analytics MSc will provide you with the vital skills required to develop your modelling and data handling expertise. You will gain a firm grounding in the principles of learning from data sets, whilst at the same time getting hands-on experience handling, analysing and visualising data. which will help you to realise your true potential while making you in demand in the modern workplace.

Why this Programme

• The Statistics Group at the University of Glasgow is internationally renowned for its research excellence. Students are able to benefit from this by learning from academics whose expertise covers the analysis of data from a wide range of applications.
• Designed for part-time study, this programme allows you to gain an MSc degree from a leading university while you are still in full-time employment. Plus, from day one you can start to put your new knowledge to the test at work. You won't have to wait until you've graduated to make a real difference in the workplace.
• You'll be studying at a Russell Group University.
• A faster study route, which lets you complete the programme in two years, is also available.
• You will have the freedom to work at your own pace and access to a wide range of learning tools including rich interactive reading material and tutor-led videos. You will also be able to arrange tailored one-to-one sessions with our academic team.

Our students contribute a wealth of professional experience from a variety of sectors including finance, the pharmaceutical industry, banking, IT services and government statistical services amongst others.

Our students come from all over the world, bringing a rich mixture of personal experiences, cultural backgrounds and a strong sense of internationalism to our student community. The open and welcoming atmosphere amongst students and staff creates an inspiring yet supportive environment for collaborative learning and personal and professional growth.

This flexible online, part-time programme is completed over three years. In the first two years, you will take two courses each trimester. In the third year, you will work on a project and Dissertation.

Students can choose Probability and Sampling Fundamentals instead of Probability and Stochastic Models.

Core courses

• Advanced Predictive Models
• Data Mining And Machine Learning I: Supervised and Unsupervised Learning
• Learning From Data - Data Science Foundations
• Predictive Modelling
• Probability and Stochastic Models
• R Programming
• Data Analytics in Business and Industry
• Data Management and Analytics Using Sas
• Data Mining and Machine Learning Ii: Big Data And Unstructured Data
• Data Programming in Python
• Large-Scale Computing for Data Analytics
• Uncertainty Assessment and Bayesian Computation
• Data Analytics Project

• Demonstrate a thorough understanding of the concepts, principles, theories and methods of probability, statistics and machine learning.
• Developing strategies for modelling and analysing potentially large and complex data.
• Communicate and visualise insights gained from data.
• Design and develop software to perform data management, data extraction, and statistical analyses and, as far as possible, automate these, using different tools and programming languages such as R, Python, Spark and TensorFlow.

Data is becoming an ever-increasing part of the modern world, yet the talent to extract information and value from complex data is scarce. There is a massive shortage of data-analytical skills in the workforce. This programme opens up a multitude of career opportunities and/or boosts your career trajectory.

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.