Master's
MSc Machine Learning & Deep Learning – USv
Course Overview
The MSc Machine Learning & Deep Learning focuses on advanced computational methods, neural networks, predictive modelling, and intelligent systems.
Students develop expertise in machine learning algorithms, deep learning architectures, data processing, and AI applications through practical projects and research. Graduates are prepared for careers in AI engineering, data science, research, automation, and technology innovation.
Entry Requirements
- Academic Records: Recognized bachelor’s degree in Computer Science, Artificial Intelligence, Mathematics, Statistics, Engineering, or a related discipline.
- English Proficiency: IELTS 6.5, TOEFL iBT 88, PTE Academic 61, or equivalent.
- Academic Background: Strong foundation in programming, linear algebra, 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, TensorFlow, or PyTorch is beneficial but not mandatory.
Career Outcomes
- Machine Learning Engineer
- Deep Learning Specialist
- AI Research Scientist
- Data Scientist
- AI Solutions Architect
Scholarship Available
- AI Research Scholarships
- Machine Learning Awards
- International STEM Scholarships
Key Information
Location
Glasgow, United Kingdom
University
University of Strathclyde
Intakes
January, September
Study Mode
On Campus
Tuition Fee
$22,750 / Year
Duration
1 Years
Language
English
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