1. University of Edinburgh
  2. Program
  3. Masters
  4. MSc Data Science

MSc Data Science

1 Year On Campus Masters Program

University of Edinburgh

Program Overview

The MSc in Data Science at the University of Edinburgh delivers a comprehensive, research-led education focused on computational methods for analyzing large, complex data sets. The program emphasizes machine learning, big data management, and practical applications across domains such as biology, healthcare, social media, and energy.

  • Ranked consistently in the top 30 globally for Computer Science.

  • Students are expected to stay in Edinburgh for the duration of their degree programme. This includes during the writing of the dissertation until the submission deadline.

Course Overview:

  • Machine Learning, Statistics and Optimization (e.g., Machine Learning and Pattern Recognition, Statistical Programming, Large Scale Optimization for Data Science)

  • Application (e.g., Text Technologies for Data Science, Accelerated Natural Language Processing, Image and Vision Computing)

  • Databases and Data Management (e.g., Introduction to Databases, Extreme Computing, Advanced Database Systems)

Experiential Learning (Research, Projects, Internships etc.)

  • Capstone Project: A substantial summer research or industry project culminating in a dissertation.

  • Industry Links: Guest lectures, networking events, and project collaborations with companies such as Spotify, Amazon, and Meta.

  • Entrepreneurial Support: Edinburgh Innovations helps students commercialize ideas and launch startups.

  • Student Societies: Active groups like CompSoc and Hoppers provide industry engagement and skill-building events.

  • Facilities: Access to Appleton Tower computing labs and study spaces, university-wide libraries, and computing support.

Progression & Future Opportunities

Graduate Outcomes:

  • Many graduates secure positions at leading organizations like Microsoft, Amazon, IBM, Google, and Meta, as well as in startups, research institutes, and across sectors such as technology, finance, healthcare, energy, government, social media, and consulting.

Independent Project:

  • After the taught component, students complete a substantial independent research project over the summer, supervised by academic staff. This project culminates in a dissertation and may be based on academic proposals or in collaboration with industry partners.

Further Study:

  • Graduates are well-prepared for doctoral research (PhD) in data science, artificial intelligence, informatics, or related fields.

Entrepreneurship:

  • The University of Edinburgh offers dedicated support for graduates aiming to launch startups or commercialize research, with access to university innovation, entrepreneurship, and career development resources.

Program Key Stats

£29100
£ 29
Sept Intake : 31st Mar


10 %

Eligibility Criteria


100
600
7.0
100
2:1
1290
27

Additional Information & Requirements

Career Options

  • Data Scientist
  • Machine Learning Engineer
  • Data Engineer
  • Database Developer
  • Business Intelligence Analyst
  • AI Researcher
  • Big Data Analyst
  • NLP Engineer

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