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MSc Data Science / MSc Informatics

University of Edinburgh

Location Edinburgh, Scotland, UK
Official Site Visit University Website
University of Edinburgh
Study Level POSTGRADUATE
Duration 1 Year
Next Intake September
Tuition Fees £ 38,000 – £42,000 per year
Entry Score IELTS 7.0 overall Minimum 6.0 in each band TOEFL iBT 100 overall PTE Academic Around 70+ Duolingo Around 125+

Course Overview

The MSc Data Science and Informatics programmes at the University of Edinburgh are offered through the School of Informatics, which is internationally recognised for research in artificial intelligence, machine learning, and data analytics.

The programme focuses on analysing large datasets and developing intelligent systems that can support decision-making in business, science, healthcare, and technology industries.

Students develop strong skills in data analysis, programming, machine learning, and computational modelling.

Key study areas include

  • Machine learning and artificial intelligence

  • Data mining and big data analytics

  • Statistical modelling and probability

  • Data visualisation and interpretation

  • Algorithms and computational methods

  • Databases and data management systems

Students gain practical experience through:

  • Data science projects

  • Programming assignments

  • Research-based coursework

  • Industry-relevant case studies

A major component of the programme is the master’s dissertation, where students work on an advanced research or applied data science project under academic supervision.


Career Opportunities

Graduates from these programmes are highly demanded in global technology industries.

Common career roles include:

  • Data Scientist

  • Machine Learning Engineer

  • AI Engineer

  • Data Analyst

  • Software Engineer

  • Business Intelligence Analyst

Graduates often work in leading technology companies such as:

  • Google

  • Microsoft

  • Amazon

  • IBM

Some graduates also pursue PhD research in Data Science, Artificial Intelligence, or Computer Science.

Entry Requirements

Academic Requirements

Applicants should have:

  • Bachelor’s degree in Computer Science or a related quantitative field

Applicants should demonstrate strong knowledge in:

  • Programming

  • Mathematics and statistics

  • Data analysis techniques

Background in Python programming, statistics, and machine learning concepts is highly beneficial.


English Language Proficiency

IELTS

  • Overall 7.0

TOEFL

  • 100 overall

PTE Academic

  • Around 70+

Duolingo

  • Around 125+


Additional Documents

Applicants usually submit:

  • Bachelor degree certificate

  • Academic transcripts

  • Personal statement

  • CV / Resume

  • Academic references

  • English language test score

  • Passport copy

Some programmes may also require:

 

  • Portfolio of programming projects

  • GRE scores (optional but helpful)

Fees & Funding

Tuition Fees

  • Approximately £38,000 – £42,000 per year for international students.


Estimated Living Cost (Edinburgh)

Average living expenses:

  • £12,000 – £18,000 per year

Includes:

  • Accommodation

  • Food

  • Transportation

  • Books and personal expenses


Scholarships / Funding

Possible funding options include:

  • Edinburgh Global Masters Scholarships

  • School of Informatics scholarships

  • External scholarships such as Chevening Scholarships and Commonwealth Scholarship Commission

Scholarships are competitive and limited for international students.

How to Apply

How to Apply

Pursuing higher education abroad is a life-changing opportunity to earn a globally recognized degree and expand your international perspective. At KMF Global, we're here to guide you through every step of the application journey — making the process smooth, stress-free, and completely free of cost.

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