Advert
Advert

MSc Applied Data Science (Online Learning)

  • DeadlineStudy Details: 1-3 years

Masters Degree Description

With advances like generative AI transforming industries, there is an increasing demand for skilled data specialists. Being proficient in data science is growing more important across fields as diverse as the social sciences, humanities, medicine and sciences.

This online MSc is designed to provide you with an introduction to the essential skills needed to begin a career using data. It allows you to take courses from multiple Schools, bringing together different academic communities across the University to create a modern, multidisciplinary degree programme. It combines elements from fields such as statistical analysis, data visualisation and data scraping to help inform strategic decision making, optimise processes and solve complex problems. It will introduce you to the use and management of data in the real world.

We go beyond teaching data science; we lead innovations in the field. Our programme will connect you with a high-profile network of research centres, institutes, and innovation centres across the University, empowering you to explore the cutting-edge of multidisciplinary data science.

This MSc assumes no prior knowledge of programming or mathematics beyond school-level and is designed to be accessible to everyone. You will receive a curated introduction to the relevant skills needed for a data-related career. We place a particular focus on preparing you for practical, impactful applications across the social sciences, business, humanities and medicine.

Entry Requirements

The programme is designed to be accessible. We welcome applicants who meet the standard academic entrance requirements and those with relevant work experience.

A UK 2:1 honours degree, or its international equivalent.

We will also consider your application if you have relevant work experience (typically at least three years in a relevant field, working with data or programming). If you plan to apply on this basis, please include a detailed CV and outline how your professional background demonstrates your ability to undertake the programme in the Relevant Knowledge/Training section of your application. If you are unsure if you have relevant work experience, please email the Programme Director.

We recommend that all applicants have SQA Higher or GCE A level Mathematics, or equivalent. 

Find out more

Fees

See our website for fees

Student Destinations

Roles within data science are in high demand, particularly with the increasing prevalence of generative AI. 

This programme will prepare you to begin a career in a data science-related field, regardless of your undergraduate academic background. It is designed to allow you to transition to a career in data by offering you a curated introduction to the field. It will enable you to be a decision-maker in professions that work closely with data or data scientists. 

Due to the multidisciplinary nature of the programme, graduates can enter into a wide range of sectors.

Potential career routes could include:

  • cultural data analysis
  • public policy writing
  • data journalism
  • data management
  • sports data analysis

Module Details

The following courses are compulsory for both the full-time and part-time options:

  • Introductory Mathematics with Applications
  • Introduction to Python Programming with Data Science
  • Introductory Probability and Statistics
  • Practical Introduction to Data Science

Option courses

  • AI for Care in the Digital Age
  • Applied Machine Learning
  • Data Ethics in Health and Social Care
  • Data Science for Manufacturing
  • Data Security and Protection in Health and Social Care
  • Data Types and Structures in Python and R
  • Data, Sport and Society
  • Engaging with Digital Research
  • Innovation-driven Entrepreneurship
  • Introduction to Bioinformatics
  • Leading Technology and Innovation in Organisations
  • Natural Language Processing (NLP) in Health and Social Care
  • Software Development
  • Technologies of Civic Participation
  • The Use and Evolution of Digital Data Analysis and Collection Tools
  • Understanding Data Visualisation
  • User-driven Service Design in Health and Social Care

Find out more

Add to comparison

Learn more about University of Edinburgh

Where is University of Edinburgh?