MSc Applied Data Science

  • Last updated 12/2024
  • English
  • Certified Course
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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
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Programme Duration

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