MSc in Applied Data Science

Develop essential skills in data and AI to drive strategic decision-making in your career with an MSc in Applied Data Science. This programme is tailored for graduates from any discipline looking to grasp the practical applications of data across fields as diverse as the arts, humanities, medicine and science. Starting with fundamental mathematics and Python programming, the programme evolves to data analytics, making it perfect for those looking to enter or advance in a career involving the application of data.

ADS

About the programme

The MSc in Applied Data Science (ADS) caters to graduates from diverse backgrounds aiming to apply data science effectively in their respective fields. This curriculum introduces fundamental concepts and progressively covers how to harness data science to make informed, strategic decisions across various contexts and industries, such as healthcare, marketing, and policy development. 

Key benefits 

  • Career Launchpad: Start a promising career in Data Science through a programme that incorporates real-world applications. This ensures a broad range of job opportunities, including cultural data analysis, public policy writing, data journalism, data management, sports data analyst and others. 
  • Real-World Focus: Learn to apply core data science topics to real-world situations through diverse programming languages like Python and R and undertake a substantive research dissertation in areas spanning Social and Political Science or EPCC topics. 
  • Interdisciplinary Opportunities: Engage in truly interdisciplinary work with the unique chance at the University of Edinburgh to collaborate across different departments, enhancing both learning and creativity. 
  • Programme of Events: Participate in a comprehensive program of events, including alumni career talks and specialised research discussions. 

Programme structure 

Compulsory modules: 

  • Introductory Mathematics with Applications: Foundational mathematics skills relevant to daily and professional use, including calculus and geometry tailored to practical applications. 
  • Intro to Probability and Statistics: Equipping you with statistical tools, covering fundamental concepts that are critical for data science. 

  • Introductory Python Programming for Data Science: Designed for students with no previous programming experience and progresses to more complex Python projects. 

  • Practical Introduction to Data Science: Scheduled towards the end of the programme, you will build on initial modules and develop your data-driven decision making skills. 
  • Social Shaping of Digital Research (optional module for the part-time programme): This module prepares you to conduct a research dissertation in Social and Political Science. 

Non-compulsory modules:  

Elective modules that align with your interests and focus on the application of data science in fields including social science, sport, leadership/entrepreneurship and divinity. 

Dissertation 

A robust research project with academics in Social and Political Science or EPCC, home to the nation’s next supercomputer. Offering you the opportunity to delve deeply into a chosen research topic with substantive academic supervision. 

Entry requirements: 

Academic requirements: Applicants are required to have at least a second class (2:1) undergraduate degree in any discipline. 

No prior knowledge of programming is necessary, and only school-level mathematics, making this program an ideal starting point for career changers and those new to data science. 

Study options: 1-year full-time or 3-year part-time, designed with the flexibility needed by those who may need to balance study with other life and work commitments. 

This programme offers the opportunity to deepen your expertise through close collaboration with academics on various projects, with a comprehensive support structure that enhances both your study skills and professional development. 

You will be taught by renowned experts in their field using synchronous and asynchronous teaching methods to foster a collaborative learning community. 

Who should apply

ADS is ideal for professionals and graduates aiming to integrate data science into their work to enhance their decision-making and analytical capabilities. It is aimed at those who seek to lead data-informed projects and strategies in non-technical settings such as public service, healthcare administration, or business operations.  

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