O que eu aprenderei?

Overview

This programme will equip you with specialist knowledge in this exciting field and allow you to explore a range of advanced topics in computer science. You’ll gain a foundation in topics like systems programming and algorithms, as well as the basics of machine learning and knowledge representation. You’ll also choose from optional modules focusing on topics like image analysis or text analytics, or broaden your approach with topics like cloud computing.

As one of the few schools with expertise covering text, symbolic and scientific/numerical data analysis, we can provide a breadth of expertise to equip you with a variety of skills – and you’ll work as an integral member of one of our research groups when you develop your main project. We also have close links with the Leeds Institute for Data Analytics (LIDA) which is at the forefront of big data research.

Specialist facilities

You’ll benefit from world-class facilities to support your learning, including:

  • a state-of the art cloud computing lab with a 16-node cluster
  • a large High Performance Computing (HPC) resource consisting of several clusters which are used for all forms of predictive modelling, data analysis and simulation
  • a visualisation lab including a Powerwall, benchtop display with tracking system, WorldViz PPT optical tracking system and Intersense InertiaCube orientation tracker
  • Ascension Flock of Birds tracking systems, three DOF and 6DOF Phantom force feedback devices
  • Twin Immersion Corp CyberGloves
  • power meters attached to cloud computing servers,
  • rendering cluster and labs containing both Microsoft and Linux platforms, among others

Learning and teaching

Our groundbreaking research feeds directly into teaching, and you’ll have regular contact with staff who are at the forefront of their disciplines. You’ll have regular contact with them through lectures, seminars, tutorials, small group work and project meetings. Independent study is also important to the programme, as you develop your problem-solving and research skills as well as your subject knowledge.

Assessment

You’ll be assessed using a range of techniques including case studies, technical reports, presentations, in-class tests, assignments and exams. Optional modules may also use alternative assessment methods.

Career opportunities

Computing is an essential component of nearly every daily activity, from the collection and processing of information in business, through to smart systems embedded in devices, image processing in medical diagnosis and the middleware that underpins distributed technologies like cloud computing and the semantic web. This programme will give you the practical skills to enter many areas of applied computing, working as application developers, system designers and evaluators. Links between the taught modules and our research provide our students with added strengths in artificial intelligence, intelligent systems, distributed systems, and the analysis of complex data. As a result, you’ll be well-prepared for a range of careers, as well as further research at PhD level. Graduates have found success in a wide range of careers working as business analysts, software engineers, web designers and developers, systems engineers, information analysts and app developers. Others have pursued roles in consultancy, finance, marketing and education, or set up their own businesses.

De qual departamento farei parte?

School of Computing

Opções de estudo

Período integral (12 meses)

Valores
Informação não disponível

*Ver informações no site da instituição.

Prazo para inscrição

Esperado August 2020

Data de início

Setembro 2020

Localização

University of Leeds

Woodhouse Lane,

Leeds,

LS2 9JT, England

Requisitos de admissão

Para estudantes do(s)/da Brasil

For Postgraduate qualification, from 3 year degrees: Título/Grau/Diploma de Bacharel; Título de [subject area]; Titulo/Grau/Diploma de Licenciado/a. students need to have 3 years degree: For 1st class they need to have score of 8.5. For course with 2.1 students should have score of 8, for course with 2.2 students should have score of 7. However, applications from students with equivalent qualifications are also accepted. Minimum qualifications include: IELTS (International English Language Testing System) an overall band of 6.5 with no less than 6.0 in each component skill.

Para estudantes internacionais

Students need a bachelor degree with a 2:1 (hons) in computing or a related subject with a substantial computing element. Relevant work experience will also be considered. We expect you to have programming competence, some prior experience of systems development and knowledge of data structures and algorithms. All applicants will need to have GCSE English Language at grade C or above, or an appropriate English language qualification. Students must have an IELTS 6.5 overall, with no less than 6.0 in any component

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Sobre a universidade

A Universidade de Leeds possui um alto índice de satisfação estudantil – 3º no Reino Unido (Times Higher Education Student Experience Survey)

  • Top 100 no Ranking QS de Universidades do Mundo de 2019
  • 11ª no Guardian UK University Guide 2020
  • Um dos maiores campi de localização única no Reino Unido
  • Campus diverso com mais de 9.000 estudantes internacionais