Master of Data Science (Bioinformatics and Biological Modelling)
Mathematical Sciences
Taught
MSc
Master of Data Science (Bioinformatics and Biological Modelling)
Taught
MSc
Overview
Application Timeline
Tuition
- Year 1
| Student categories | Study | |
|---|---|---|
| Full-time | Part-time | |
| England | £14,500 | N/A |
| Northern Ireland | £14,500 | N/A |
| Scotland | £14,500 | N/A |
| Wales | £14,500 | N/A |
| Channel Islands | £14,500 | N/A |
| EU | £34,000 | N/A |
| International | £34,000 | N/A |
Requirements
Language requirements information is currently unavailable.
Modules
Modelling in Molecular Biology
OptionalStrategic Leadership
OptionalIntroduction to Mathematics for Data Science
Optional
About
Overview
The Master of Data Science (MDS) program is designed to equip students with essential skills in data science, particularly in bioinformatics and biological modelling. It caters to individuals from various academic backgrounds, especially those in biological or physical sciences, and addresses the growing demand for skilled data scientists.
Program Structure
The MDS program includes a combination of core and optional modules, providing a comprehensive education in data science.
Core Modules
- Data Science Research Project: A substantial research project focusing on a specific area of data science.
- Critical Perspectives in Data
Subject Area Information
Statistical modelling is a crucial discipline within the broader field of statistics and data science. It involves the application of statistical techniques to create models that can predict or explain real-world phenomena.
1. Introduction to Statistical Modelling
2. Advanced Regression Techniques
3. Time Series Analysis
4. Multivariate Statistical Analysis
5. Bayesian Statistical Modelling
6. Machine Learning and Statistical Modelling
- Data Analysis
- Model Building
- Interpretation
- Problem-Solving
Career
Courses in statistical modelling provide a comprehensive education in the theory and application of statistical techniques, preparing students for a wide range of careers in data-driven fields.
Data Scientist
Utilizing statistical models to extract insights from data and inform business decisions.
Biostatistician
Applying statistical methods to biological and medical research.
Quantitative Analyst
Using statistical models to analyze financial markets and manage risk.
Market Research Analyst
Employing statistical techniques to understand consumer behavior and market trends.
Epidemiologist
Using statistical models to study the distribution and determinants of health and disease in populations.
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