MSc Applied Data Science

Post Graduate
MS
University of Essex
Taught in English

Overview

The MSc Applied Data Science programme by the School of Mathematics, Statistics, and Actuarial Science offers a practical education in data science, focusing on extracting insights from large datasets and making data-driven decisions. Designed as a conversion course, it is ideal for students without prior university-level mathematics or statistics experience aiming to enter the digital economy. The curriculum includes hands-on projects and access to cutting- edge tools for data mining, machine learning, and data visualization, building postgraduate- level skills across various applications.

Objectives

The programme is designed for students without prior mathematics or statistics experience, offering postgraduate-level skills in essential data science methods.

Core Modules:

Foundational Mathematics for Data Science
Exploratory Data Analysis and Data Visualisation
Programming and Text Analytics with R
Databases and Data Processing with SQL
Data Analysis and Statistics with R
Modelling Experimental and Observational Data
Artificial Intelligence, Deep and Statistical Learning with Applications
Research Skills and Employability
Network Analysis
An Approachable Introduction to Programming

Dissertation: The dissertation requires students to demonstrate their knowledge and skills in data science.

Potential Career Routes:

Data Scientist
Machine Learning Engineer
Data Analyst
Business Intelligence Analyst
Data Engineer
Data Visualization Specialist
Predictive Analytics Specialist
AI Engineer
Research Scientist
Consultant

Programme duration

The MSc Applied Data Science is a year-long degree programme.

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