1 Year On Campus Masters Program
The MSc Machine Learning for Visual Data Analytics at Queen Mary University of London is a one-year full-time or two-year part-time program that provides advanced training in machine learning, computer vision, and image processing. The program prepares students to analyse and interpret visual data using state-of-the-art AI techniques and is delivered by leading researchers in the field. It is accredited by BCS (The Chartered Institute for IT) and partially meets the academic requirements for Chartered Engineer and Chartered IT Professional status. The course features strong industry collaborations with companies such as Vodafone, Google, IBM, BT, NASA, BBC, and Microsoft, and offers a specialised curriculum with flexible learning streams.
Course Overview:
Machine Learning
Introduction to Computer Vision
Computer Programming
Natural Language Processing
Deep Learning and Computer Vision
Machine Learning for Visual Data Analysis
Neural Networks and NLP
Neural Networks and Deep Learning
Project
Computer Vision and Image Processing stream
Machine Learning
Introduction to Computer Vision
Computer Programming
Computer Graphics
Deep Learning and Computer Vision
Machine Learning for Visual Data Analysis
Image Processing
Neural Networks and Deep Learning
Project
Teaching: Delivered through lectures, practical labs, group projects, and workshops with real-world data.
Assessment: Assessed via a combination of coursework, exams, and a major research project.
Research project often linked with industry partners (33% of the degree).
Opportunities for placements and collaborative projects with companies like Vodafone, NASA, and Google.
Access to advanced facilities including the augmented human interaction lab and robotics lab.
Career support with 100% of graduates in highly skilled roles within 15 months.
Graduates progress to roles in visual analytics, computer vision, AI research, and data science.
Pathways to further research (PhD) in computer vision, machine learning, and multimedia analysis.
Offers practical exposure to deep learning, NLP, and visual data processing.
Industry-relevant curriculum supports strong graduate employability.
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