Master's
MSc Machine Learning in Science – UM
Course Overview
The MSc Machine Learning in Science prepares students to apply artificial intelligence and machine learning techniques to scientific research across biology, chemistry, physics, environmental science, and healthcare.
Students combine computational modelling, statistical analysis, programming, and data science with interdisciplinary scientific applications through practical research projects. Graduates are equipped for careers in AI research, scientific computing, advanced analytics, biotechnology, and research-intensive industries.
Entry Requirements
- Academic Records: Recognized bachelor’s degree in Computer Science, Mathematics, Physics, Engineering, Data Science, or a related quantitative discipline.
- English Proficiency: IELTS 6.5, TOEFL iBT 88, PTE Academic 61, or equivalent.
- Academic Background: Knowledge of programming, mathematics, statistics, and machine learning is preferred.
- Application Materials: Bachelor’s transcripts, CV/resume, personal statement, academic reference(s), and passport copy.
- Additional Requirements: Experience with Python, AI, or data analysis is advantageous but not mandatory.
Career Outcomes
- Machine Learning Scientist
- AI Research Engineer
- Scientific Data Scientist
- Computational Scientist
- Research & Development Engineer
Scholarship Available
- International Postgraduate Scholarships
- STEM Scholarships
- Academic Excellence Awards
Key Information
Location
Manchester, United Kingdom
University
University of Manchester
Intakes
September
Study Mode
On Campus
Tuition Fee
$39,400 / Year
Duration
1 Years
Language
English
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