Universities › Queen Mary University of London
MSc Data Analytics
Queen Mary University of London — London, United Kingdom
MSc Data Analytics is a postgraduate Business & Management course at Queen Mary University of London, London, United Kingdom. It takes 2 years, costs £36,950 per year and starts in September.
Postgraduate · 2 years · Full-time · Business & Management · £36,950 per year
Intakes: September
Explore Queen Mary’s MSc Data Analytics degree, focusing on AI, statistics and programming. Gain industry-ready skills for careers in data science and analytics.
Modules
- Machine Learning with Python
- Probability and Statistics for Data Analysis
- Storing, Manipulating and Visualising Data
- Programming in Python
- Computational Statistics with R
- Forecasting with AI
- Bayesian Statistics
- SAS for Business Intelligence
- Optimisation for Business Processes
- Financial Data Analytics
- Digital and Real Asset Analytics
- Neural Networks and Deep Learning
- Advanced Machine Learning
- Graphs and Networks
- 67% Modules
- 33% Research project
- Time series analysis
- Exploratory data analysis on a dataset
- Performance and comparative analysis of state of the art techniques
- Theoretical models of data
- Complex systems
- Dynamical systems
- Topological data analysis
- Experimental design with data
- Statistical aspects of data analytics techniques
Frequently asked questions
How long is MSc Data Analytics at Queen Mary University of London?
MSc Data Analytics takes 2 years (Full-time).
How much does MSc Data Analytics at Queen Mary University of London cost?
The listed tuition fee is £36,950 per year. Fees can change, so confirm the current amount before you apply.
When does MSc Data Analytics start?
Intakes: September.
What level is MSc Data Analytics?
It is a postgraduate course in Business & Management.
What will I study on MSc Data Analytics?
Modules include Machine Learning with Python, Probability and Statistics for Data Analysis, Storing, Manipulating and Visualising Data, Programming in Python, Computational Statistics with R and Forecasting with AI.