Data Science and its Applications
Mathematical Sciences
Taught
MSc
Data Science and its Applications
Taught
MSc
Overview
Application Timeline
Tuition
- Year 1
| Student categories | Study | |
|---|---|---|
| Full-time | Part-time | |
| England | £10,500 | £10,500 |
| Northern Ireland | £10,500 | £10,500 |
| Scotland | £10,500 | £10,500 |
| Wales | £10,500 | £10,500 |
| Channel Islands | £10,500 | £10,500 |
| Republic of Ireland | £10,500 | £10,500 |
| EU | £22,750 | £22,750 |
| International | £22,750 | £22,750 |
Requirements
Language requirements information is currently unavailable.
Modules
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About
Course Description
The MSc Data Science and its Applications is a conversion course aimed at students with limited prior experience in university-level mathematics and statistics. It prepares students for participation in the digital economy, focusing on the application of data science theories and methods to real-world problems, particularly in the context of big data.
Importance of Data Science
At Essex, data science techniques influence political, financial, and social decisions, contributing to economic growth and business success.
Course Content
The course covers programming with R, text analytics, relational databases, and SQL, with...
Subject Area Information
Applied statistics is a dynamic and essential discipline that focuses on the practical application of statistical techniques to solve real-world problems. This field is integral to various industries, including healthcare, finance, marketing, engineering, and social sciences.
1. Introduction to Applied Statistics
2. Statistical Methods for Data Analysis
3. Probability and Statistical Inference
4. Multivariate Analysis
5. Time Series Analysis and Forecasting
6. Statistical Computing and Data Visualization
- Data Analysis
- Statistical Software Proficiency
- Problem-Solving
- Communication
- Critical Thinking
Career
Graduates with a background in applied statistics have a wide array of career opportunities available to them.
Data Analyst
Analyzing data to help organizations make informed decisions.
Statistician
Designing experiments, surveys, and analyzing data to draw meaningful conclusions.
Biostatistician
Applying statistical methods to biological and health-related research.
Market Research Analyst
Studying market conditions to identify potential sales opportunities.
Financial Analyst
Analyzing financial data to guide investment decisions.
Quality Control Analyst
Using statistical methods to ensure product quality and process efficiency.
Actuary
Assessing financial risks using mathematics, statistics, and financial theory.
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