MSc Data Analytics
Course Overview
This MSc in Data Analytics creates versatile problem-solvers by blending theory, intensive practice, and direct industry engagement to tackle real-world business challenges. The program provides a comprehensive skill set for extracting knowledge from data and making informed technological decisions, preparing graduates for a variety of sectors. Developed by a unique collaboration of three expert departments, the curriculum offers a broader, more integrated expertise than typical competitor programs.
Key Program Highlights
- Blended learning approach combining theoretical principles with intensive practical application
- Unique interdisciplinary curriculum developed by Management Science, Mathematics & Statistics, and Computer Science departments
- Focus on making informed technology decisions to solve business problems and extract knowledge from data
- Optional client-based dissertation projects with host organizations arranged by the department
- Diverse assessment through written assignments, exams, team projects, and presentations
Course Overview
This MSc in Data Analytics creates versatile problem-solvers by blending theory, intensive practice, and direct industry engagement to tackle real-world business challenges. The program provides a comprehensive skill set for extracting knowledge from data and making informed technological decisions, preparing graduates for a variety of sectors. Developed by a unique collaboration of three expert departments, the curriculum offers a broader, more integrated expertise than typical competitor programs.
Key Program Highlights
- Blended learning approach combining theoretical principles with intensive practical application
- Unique interdisciplinary curriculum developed by Management Science, Mathematics & Statistics, and Computer Science departments
- Focus on making informed technology decisions to solve business problems and extract knowledge from data
- Optional client-based dissertation projects with host organizations arranged by the department
- Diverse assessment through written assignments, exams, team projects, and presentations
Requirements
Modules
- Big Data Fundamentals
- Foundations of Statistics
- Data Analytics in R
- Business & Decision Modelling
- Optimisation for Analytics
- Data Analytics in Practice
- Database Fundamentals
- Evolutionary Computation for Finance 1
- Evolutionary Computation for Finance 2
- Legal, Ethical & Professional Issues for the Information Society
- Fundamentals of Machine Learning for Data Analytics
- Machine Learning for Data Analytics
- Financial Econometrics
- Bayesian Spatial Statistics
- Statistical Machine Learning
- Data Dashboards with R Shiny
- Stochastic Modelling for Analytics
- Business Simulation Modelling
- Risk Analysis & Management
- Business Information Systems