Optimisation and Data Analytics
Mathematical Sciences
Taught
MSc
Optimisation and Data Analytics
Taught
MSc
Overview
Application Timeline
Tuition
- Year 1
| Student categories | Study | |
|---|---|---|
| Full-time | Part-time | |
| England | £10,500 | N/A |
| Northern Ireland | £10,500 | N/A |
| Scotland | £10,500 | N/A |
| Wales | £10,500 | N/A |
| Channel Islands | £10,500 | N/A |
| Republic of Ireland | £10,500 | N/A |
| EU | £22,750 | N/A |
| International | £22,750 | N/A |
Requirements
Language requirements information is currently unavailable.
Modules
Modules is currently unavailable
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About
Program Appeal
The MSc in Optimisation and Data Analytics is designed for individuals with a background in mathematics. Candidates are expected to have knowledge in statistics and operational research.
Operational Research Significance
Operational research employs advanced statistical and analytical methods to enhance decision-making processes in various sectors, helping businesses and organizations improve efficiency.
Specialization Areas
Students can specialize in the following areas:
- Continuous and discrete optimisation
- Time series econometrics
- Heuristic computation
- Experimental design
- Machine learning
- Linear models
Research Focus
The...
Subject Area Information
Mathematical modelling is a multidisciplinary field that involves the application of mathematical techniques and theories to represent, analyze, and solve real-world problems.
1. Introduction to Mathematical Modelling
2. Differential Equations and Dynamical Systems
3. Statistical Modelling and Data Analysis
4. Computational Modelling and Simulation
5. Optimization and Operations Research
6. Advanced Topics in Mathematical Modelling
- Analytical Thinking
- Problem-Solving
- Programming and Computational Skills
- Statistical Analysis
- Interdisciplinary Knowledge
Career
Graduates with expertise in mathematical modelling have a wide array of career opportunities, utilizing their skills in various fields.
Data Scientist
Utilizing statistical and computational models to analyze and interpret complex data sets.
Operations Research Analyst
Applying optimization techniques to improve organizational efficiency and decision-making.
Financial Analyst
Using mathematical models to assess financial risks and opportunities.
Epidemiologist
Modelling the spread of diseases to inform public health strategies.
Environmental Scientist
Developing models to predict environmental changes and assess the impact of human activities.
Engineering Analyst
Applying mathematical models to design and optimize engineering systems and processes.
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