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Computational Statistics and Machine Learning

UCL (University College London)

Summary

Price
£11,090 - £23,440 inc VAT
Study method
Classroom
Duration
1 year · Full-time
Qualification
MRes
Awarded by UCL (University College London)
Additional info
  • Exam(s) / assessment(s) is included in price
  • Tutor is available to students

Location & dates

Location

Address
WC1E 6BT
United Kingdom
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Overview

This programme teaches advanced analytical and computational skills for success in a data rich world; designed to be both mathematically rigorous and relevant, the programme covers fundamental aspects of machine learning and statistics, with potential options in information retrieval, bioinformatics, quantative finance, artificial intelligence and machine vision.

Description

This programme teaches advanced analytical and computational skills for success in a data rich world; designed to be both mathematically rigorous and relevant, the programme covers fundamental aspects of machine learning and statistics, with potential options in information retrieval, bioinformatics, quantative finance, artificial intelligence and machine vision.

Department: Computer Science

Qualification:

MRes

Qualification Level:

RQF Level 7

Requirements:

A minimum of an upper 2nd Class UK Honours degree in a highly quantitative subject, or an overseas qualification of an equivalent standard. We require candidates to have studied a significant mathematics and/or statistics component as part of their 1st degree, and students should also have some experience with a programming language, such as MATLAB.

Assessment Methods:

The programme is delivered through a combination of lectures, tutorials and seminars. Lectures are often supported by laboratory work with assistance from demonstrators. Students liaise with their academic or industrial supervisor to choose a study area of mutual interest for the research project. Performance is assessed by unseen written examinations, coursework and the research dissertation.

Modules:

Core modules: investigating research; researcher professional development. options: students choose three from the following: advanced topics in machine learning; advanced topics in statistics; applied Bayesian methods; approximate inference and learning in probabilistic models; graphical models; information retrieval and data mining; inverse problems in imaging; machine vision; probabilistic and unsupervised learning; statistical computing; statistical inference; statistical modelling and data analysis; supervised learning.

Source: the courses data has been supplied by the Universities and Colleges Admissions Service.

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Legal information

This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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