MSc Statistics with Data Analytics
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Course Overview
This MSc in Statistics and Data Analytics equips you with the advanced statistical and computational skills required to extract value from complex, real-world data. The program provides a unique blend of modern statistical methodology and hands-on computing expertise essential for handling large-scale, unstructured datasets. Graduates are prepared for high-demand careers as data scientists and statisticians across the finance, health, and technology sectors.
Key Program Highlights
- Master a powerful blend of modern statistical theory and practical data analytics techniques
- Develop essential computational skills for managing and analyzing large, unstructured data
- Gain expertise directly applicable to high-growth fields like finance, healthcare, and technology
- Prepare for a career as an independent expert capable of leading multidisciplinary research teams
- Learn to design, perform, analyze, and report on complex applied scientific research
Course Overview
This MSc in Statistics and Data Analytics equips you with the advanced statistical and computational skills required to extract value from complex, real-world data. The program provides a unique blend of modern statistical methodology and hands-on computing expertise essential for handling large-scale, unstructured datasets. Graduates are prepared for high-demand careers as data scientists and statisticians across the finance, health, and technology sectors.
Key Program Highlights
- Master a powerful blend of modern statistical theory and practical data analytics techniques
- Develop essential computational skills for managing and analyzing large, unstructured data
- Gain expertise directly applicable to high-growth fields like finance, healthcare, and technology
- Prepare for a career as an independent expert capable of leading multidisciplinary research teams
- Learn to design, perform, analyze, and report on complex applied scientific research
Requirements
Modules
- Advanced Computational Statistics for Data Analytics
- Data Mining and AI for Big Data Analytics
- Financial Markets
- Fundamentals of Machine Learning
- Probability and Stochastics
- Quantitative Data Analysis and Visualisation
- Research Methods and Case Studies
- Time Series Forecasting and Risk Modelling
- Dissertation
