Machine Learning MSc
Master
In London
Description
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Type
Master
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Location
London
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Duration
1 Year
The Machine Learning MSc at UCL is a truly unique programme and provides an excellent environment to study the subject. It introduces the computational, mathematical and business views of machine learning to those who want to upgrade their expertise and portfolio of skills in this domain.
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Start date
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About this course
Graduates from this programme have an excellent employment record. Substantial sectors of UK industry, including leading, large companies already make extensive use of intelligent systems techniques in the course of their business activities, and the UK has a number of very successful developers and suppliers of the technology. Students also benefit from strong corporate and academic connections within the UCL Computer Science alumni network.
A minimum of an upper second-class UK Bachelor's degree in a highly quantitative subject such as computer science, mathematics, electrical engineering or the physical sciences, or an overseas qualification of an equivalent standard. Relevant work experience may also be taken into account. Additionally, candidates must be comfortable with undergraduate mathematics in areas such as linear algebra and calculus.
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Subjects
- Graphical Models
- Probabilistic
- Unsupervised
- Advanced Deep Learning
- Reinforcement
- Machine Learning
- Computing
- Human-Robot Interaction
- Applied Machine Learning
- Bioinformatics
Course programme
- Supervised Learning (15 credits)
Students must choose 15 credits from Option Group One and a minimum of 60 credits from Option Group Two. Students must choose a further 30 credits from either Option Group Two or approved electives.
- Option Group One (choose 15 credits)
- Graphical Models (15 credits)
- Probabilistic and Unsupervised Learning (15 credits)
- Option Group Two (choose 60 to 90 credits)
- Advanced Deep Learning and Reinforcement Learning (15 credits)
- Advanced Topics in Machine Learning (15 credits)
- Affective Computing and Human-Robot Interaction (15 credits)
- Applied Machine Learning (15 credits)
- Approximate Inference and Learning in Probabilistic Models (15 credits)
- Bioinformatics (15 credits)
- Information Retrieval and Data Mining (15 credits)
- Introduction to Deep Learning (15 credits)
- Machine Vision (15 credits)
- Programming and Mathematical Methods for Machine Learning (15 credits)
- Statistical Natural Language Programming (15 credits)
Please note: the availability and delivery of optional modules may vary, depending on your selection.
Students may select up to 30 credits from elective modules
Additional information
Machine Learning MSc