Statistics
Mathematical Sciences
Taught
MSc
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
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About
Importance of Statistics
Statistics is a crucial field that influences political, financial, and social decisions in modern society. The program at Essex is designed for logical individuals who enjoy problem-solving.
Program Overview
The School of Mathematics, Statistics and Actuarial Science offers a master's program that integrates statistics with other mathematical subjects. The curriculum balances theoretical knowledge with practical application, covering:
- Mathematical statistics
- Applied statistics
- Survival analysis
- Time series
- Stochastic process
- Computing and coding in R
Research Focus
The school is recognized for its...
Subject Area Information
Statistics is a versatile and essential discipline that involves the collection, analysis, interpretation, presentation, and organization of data. Courses in statistics are designed to equip students with the skills necessary to understand and apply statistical methods to a wide range of real-world problems.
1. Introduction to Statistics
2. Probability Theory
3. Statistical Inference
4. Regression Analysis
5. Multivariate Statistics
6. Time Series Analysis
7. Nonparametric Statistics
8. Statistical Computing
- Understanding of fundamental statistical principles
- Ability to summarize and interpret data
- Proficiency in using statistical software
- Mastery of probabilistic models
- Ability to calculate and interpret probabilities
- Ability to make data-driven decisions
- Proficiency in building and interpreting regression models
- Ability to analyze and interpret multivariate data
- Expertise in analyzing temporal data
- Ability to apply statistical methods that do not rely on parametric assumptions
- Proficiency in statistical programming
- Ability to handle large datasets
Career
Graduates with a degree in statistics have a wide array of career opportunities available to them, including but not limited to roles that involve analyzing data to help organizations make informed decisions, designing experiments, and applying statistical techniques to various fields.
Data Analyst
Analyzing data to help organizations make informed decisions.
Statistician
Designing experiments, conducting surveys, and analyzing data for government agencies, healthcare organizations, and research institutions.
Data Scientist
Using statistical methods and machine learning algorithms to extract insights from large datasets.
Biostatistician
Applying statistical techniques to biological and medical research.
Market Research Analyst
Studying market conditions to identify potential sales opportunities.
Actuary
Analyzing financial risks using mathematics, statistics, and financial theory.
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