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MSc Software Development (Part Time)

Queen's University Belfast

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Course options

  • Qualification

    MSc - Master of Science

  • Location

    Queen's University Belfast

  • Study mode

    Part time

  • Start date

    19-SEP-22

  • Duration

    3 years

Course summary

Overview

The MSc in Software Development is designed in collaboration with industry to provide an intensive education experience in software development and is specifically designed for graduates of non-computing disciplines. It has an extremely high graduate employability rate and is consistently one of the highest rated MSc computing courses for student satisfaction in the UK.

This part-time option is taught in the evenings (one to two evenings a week per semester) and spread over 3 years to allow you to study while in full-time employment. The course can be completed entirely online, with our innovative live online lectures and interactive lab sessions. All learning materials are hosted on our virtual learning environment, in addition to pre-recorded bite-sized lecture content videos (available before each lecture), feedback quizzes to check your progress, as well as individual support from our lecturers and tutors. You can also optionally attend our on-campus labs on the teaching nights for additional tutor support or if you need a quiet environment to work in.

You also have the option of completing in 2 years. A dissertation project or specialised Distance Learning modules can be commenced in the third semester of the second year of the course, once all the taught modules are successfully completed. The project or Distance Learning modules must be undertaken full time to enable successful completion in that semester.

COURSE CONTENT:

You will learn the foundations of computing and acquire industry relevant skills. These core skills include programming, databases, web development, software engineering and problem solving. You need no computing background at all to do this course, but on successful completion, you will be equipped with the technical, analytical and professional skills required to take on a range of roles in the computing industry.

The curriculum was designed and is continually reviewed in collaboration with significant industrial partners, who helped ensure the most relevant module content. This helps ensure that our graduates are highly trained and much sought after by employers.

WHO WILL BE TEACHING YOU:

Many of the course teaching team have worked in the computing industry and have particular research specialisms in developing novel and effective methods for teaching computing. Several of the team have been awarded student-nominated teaching awards for their work.

WHAT YOU'LL GET UP TO:

You’ll learn how to analyse problems and design robust and elegant software systems to solve the problems. This includes gaining skills in programming, web development, database design, software testing and software engineering.

You will also have the opportunity to learn how to work as part of a development team using modern development techniques and tools.

Career Development

The School has a team of staff specifically dedicated for the development of student employability skills alongside technical capabilities. They provide a range of services to help students gain employment during the course, eg one-on-one CV advice and mock job interviews etc.

Application deadline

12 August 2022

Tuition fees

Students living in United States
(international fees)

£ 22,000per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

Queen's University Belfast

  • University League Table

    34th

  • Campus address

    Queen's University Belfast, University Road, Belfast, Northern Ireland, BT7 1NN, Northern Ireland

Subject rankings

  • Subject ranking

    34th out of 113 4

  • Entry standards

    / Max 236
    144 65%

    31st

    2
  • Graduate prospects

    / Max 100
    92.0 92%

    19th

    12
  • Student satisfaction

    / Max 5
    3.84 77%

    79th

    17

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