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Students
Tuition Fee
USD 32,488
Per year
Start Date
Medium of studying
On campus
Duration
30 months
Program Facts
Program Details
Degree
Diploma
Major
Information Technology | Digital Technology | Systems Analysis
Area of study
Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
USD 32,488
Intakes
Program start dateApplication deadline
2023-09-232023-07-04
2024-01-23-
About Program

Program Overview


Learn while you work gaining employment specific computer science knowledge and skills through our day release degree apprenticeship.

Our course is centred on the industrial application of computing and will give you a sound foundation in practical and theoretical computation. You'll focus on the practical application of computing in real-life settings.

You'll gain a broad overview of computer science with opportunities to develop specific skills relevant to your role with specially developed units.

Our day-release training option is designed to minimise the risk of disruption to your work and personal commitments. You will spend 20% of your time on off-the-job training and the rest of the week embedding your new knowledge on-the-job with your employer.

You will study online and off-campus through the use of our virtual learning environment which will include weekly webinars and online collaboration tools. You'll join a supportive community of online learners and will take part in online discussions and forums to help develop and support your learning.

Towards the end of the course, you will complete an individual capstone project and e-portfolio of work over summer before a final end point assessment.

The capstone project is the culmination of your learning and an opportunity to deliver a rigorous piece of independent study designed to demonstrate an understanding of the digital and technological challenges faced by organisations.

On successful completion of the end point assessment, you will graduate with an MSc in Computer Science and pass the degree apprenticeship.

Learning outcomes

  • Understand core theories and practices of computer science
  • Explore exciting new opportunities in AI, human-computer interaction, cryptography and cybersecurity
  • Acquire key theories and mathematical principles to support your understanding of emerging techniques
  • Develop essential research and report writing skills as well as applying your problem solving and critical thinking skills to make recommendations of genuine value to your employer
  • Contribute towards the body of knowledge of particular technical and industrial fields
  • Think creatively and critically and push the boundaries with code

  • Learn while you work gaining employment specific computer science knowledge and skills through our day release degree apprenticeship.

    Our course is centred on the industrial application of computing and will give you a sound foundation in practical and theoretical computation. You'll focus on the practical application of computing in real-life settings.

    You'll gain a broad overview of computer science with opportunities to develop specific skills relevant to your role with specially developed units.

    Our day-release training option is designed to minimise the risk of disruption to your work and personal commitments. You will spend 20% of your time on off-the-job training and the rest of the week embedding your new knowledge on-the-job with your employer.

    You will study online and off-campus through the use of our virtual learning environment which will include weekly webinars and online collaboration tools. You'll join a supportive community of online learners and will take part in online discussions and forums to help develop and support your learning.

    Towards the end of the course, you will complete an individual capstone project and e-portfolio of work over summer before a final end point assessment.

    The capstone project is the culmination of your learning and an opportunity to deliver a rigorous piece of independent study designed to demonstrate an understanding of the digital and technological challenges faced by organisations.

    On successful completion of the end point assessment, you will graduate with an MSc in Computer Science and pass the degree apprenticeship.





    Learning outcomes

  • Understand core theories and practices of computer science
  • Explore exciting new opportunities in AI, human-computer interaction, cryptography and cybersecurity
  • Acquire key theories and mathematical principles to support your understanding of emerging techniques
  • Develop essential research and report writing skills as well as applying your problem solving and critical thinking skills to make recommendations of genuine value to your employer
  • Contribute towards the body of knowledge of particular technical and industrial fields
  • Think creatively and critically and push the boundaries with code
  • Program Outline


    Course structure

    This course lasts 30 months. It starts in October 2023 and ends in 2026. Course length can vary as a result of the time it takes to complete the capstone project (dissertation) and the end point assessment.


    Occasionally we make changes to our programmes in response to, for example, feedback from students, developments in research and the field of studies, and the requirements of accrediting bodies. You will be advised of any significant changes to the advertised programme, in accordance with our Terms and Conditions.


    Units

    We welcome suggestions as to what specialist units would be most beneficial for your apprenticeship. This can be discussed with the Director of Studies. Units may also vary depending on our assessment of your skills.


    Compulsory course units

    These compulsory units are currently being studied by our students, or are proposed new units.



    Year 1

  • Principles of programming
  • Software engineering
  • Advanced programming
  • Research seminar
  • Databases


  • Year 2

  • Foundations of computation
  • Research project preparation
  • Capstone project
  • Specialist options

  • Optional course units

    You can choose from a number of specialist units. Here are some examples of current options.

  • Artificial Intelligence
  • Cybersecurity
  • Theory of Human Computer Interaction
  • Advanced Software Engineering
  • Entrepreneurship
  • Functional Programming



  • Learning and assessment




    Learning

  • Interaction and networking
  • Online resources
  • Workshops


  • Assessment

  • Coursework
  • End point assessment
  • Online assessment
  • Seminar
  • Other



  • Recognition of professional qualifications


    As well as being recognised as a higher academic qualification, a number of our degrees are also accredited by professional bodies in the United Kingdom. An accredited degree may entitle you to work in a specific profession within the UK, and abroad (where there are reciprocating arrangements with professional bodies in other countries).

    The requirements to practise a profession vary from country to country. If you wish to practise your profession outside the United Kingdom, you are advised to confirm that the UK professional qualification you seek is valid in the country in which you are intending to work.

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