Computer Science MSc Queen Mary University of London

This Computer Science MSc programme at Queen Mary University of London prepares you for a wide range of careers depending on your selection of modules studied. Typical jobs after graduation include advanced programmer, software development and support, software engineer, product designer/developer, systems analyst, interface/interaction designer, database developer, and other specialist employment based on your selected study areas.

Kontakte Website

Why study Computer Science MSc at Queen Mary University of London?

This is a multidisciplinary programme and, in addition to pure computer science modules, you may choose options where computer science intersects with other fields and build on your first degree.

You will gain experience in functional programming, and learn about semi-structured data and advanced data modelling. You will gain a basis in security and authentication, as well as Bayesian decision and risk analysis. Beyond this, you will be able to personalise your programme through a wide range of employment-relevant module choices.

Choose modules from a range of areas, including:

  • Machine Learning
  • Natural Language Processing
  • Interactive Systems Design
  • Data Analytics using Python and its associated libraries for data wrangling and Machine Learning

Our excellent links will allow you to build your network with industry and potential employers and have opportunities to work together on commercial and research projects.

Endgültigkeit

The broad range of skills gained through programmes in this School, coupled with multiple opportunities for extra-curricular activities and work experience, has enabled postgraduates to move into roles such as:

  • Head of development
  • Engineering manager
  • Lecturer
  • IT consultant
  • Project manager
  • IT developer
  • Mobile developer
  • Technical assistant 
  • Analyst
  • Customer service assistant
  • Software developer.

At global companies and institutions including:

  • Daffodil International University (Bangladesh)
  • Suleyman Demirel University (Turkey)
  • JP Morgan
  • Deutsche Bank
  • Interserve
  • Barclays
  • IMGROUP, Hitachi Consulting
  • Mustard systems
  • ThoughtWorks (China branch)
  • Grupo Salinas
  • Medi data
  • Alan Blunden
  • OFF3R.
If you want to know more about our scolarship, please ask for more information and our tutors will contact you as soon as possible.
Kosten für den Master: Nicht bekannt gegeben
Es gibt Stipendien
QMUL Careers Office provides careers information, guidance and support for all students and graduates.

  • Buch- und/oder Datenbank der Absolventen
  • Multimedia-Ressourcen: Links / E-Bücher
  • Start-up-Unterstützung und Betreuung
  • Internationale Perspektiven
  • Unternehmen Präsentationen
  • Careerday
  • Unterstützung in CV schriftlich
  • Orientierungsseminare
  • Jobsuche Technik
  • Interviewvorbereitung
Fordern Sie weitere Informationen:
Queen Mary University of London

        Computer Science MSc

              Puoi anche scrivere un messaggio:

                * erforderliche Felder
                Privacy
                  • Andere Ausgaben
                  • London - Vereinigtes Königreich
                  Queen Mary University of London: An introduction

                  Queen Mary University of London: An introduction

                  A Day in the Life of Queen Mary

                  A Day in the Life of Queen Mary

                  Social stream

                  Provenienz Studenten weltweit:
                  Detail der Herkunft:
                  Europa
                  30%
                  10%
                  25%
                  25%
                  10%
                  Vereinigtes Königreich
                  15%
                  60%
                  5%
                  %
                  20%
                  Geschlecht:
                  45%
                  55%
                  Berufserfahrung:
                  JA 60%
                  NICHT 40%
                  Alter der Teilnehmer:
                  • Unter 25

                    60%
                  • 26 - 30

                    25%
                  • 31 - 35

                    10%
                  • Mehr als 35

                    5%
                  Gesamt:
                  1370
                  Ausländer:
                  30%
                  Beruf Lehre Mitarbeiter:
                  5%
                  Akademiker
                  85%
                  Forscher/Leser/Gastprofessorin
                  10%
                  Andere
                  * Die Daten könnten zur Schule und nicht den Master bezogen werden