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 | £11,325 | £11,325 |
| Northern Ireland | £11,325 | £11,325 |
| Scotland | £11,325 | £11,325 |
| Wales | £11,325 | £11,325 |
Requirements
Language requirements information is currently unavailable.
Modules
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About
Overview
The MSc degree in Data Science and its Applications is designed to provide a comprehensive foundation in both the theory and practice of data science. It aims to increase the skilled workforce and diversity of qualified data science experts in the UK market.
Program Goals
This program is tailored to transform professionals from various backgrounds into accomplished data scientists. It prepares graduates to:
- Enhance their existing careers with data science skills.
- Transition fully into data science roles.
- Pursue further specializations in data science.
Learning Outcomes
Students will explore a range of modern data science topics...
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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