Our Digital and Technology Solutions Professional Degree Apprenticeship blends online learning, face-to-face workshops and on-the-job experience to transform people into highly skilled tech professionals.

The programme has been designed in union with the Tech Partnership and the University of Roehampton.

Our Digital Degree Apprenticeship is available in three specialisms: Network Engineer, Software Engineer and Data Analyst.

What’s included?

On successful completion of the programme the following qualifications are gained:

  • BSc (Hons) Digital & Technology Solutions

The entry requirements for this programme are:

  • A levels in a similar subject
    • Or a Level 3 apprenticeship in a similar subject
    • Or an International Baccalaureate at Level 3 in a similar subject
    • Or a BTEC Extended Diploma in a similar subject (180 credits)
  • Learners must not hold an existing qualification at the same or higher level than this apprenticeship in a similar subject.

Apprentices need tech-enabled apprenticeship programmes that resonate with their day-to-day life. In keeping with this - we have innovated through technology and digital content creation to deliver a ‘high tech, high touch’ approach to blended learning.

High-quality learning content on the go. We deliver “mobile-first” education – this means learning can be accessed anytime, anywhere, on any device.

This programme teaches skills in:

  • Artificial intelligence (AI) and machine earning
  • Data science
  • DevOps
  • Migration of IT environments to cloud computing
  • Cyber security

Empowering roles like:

For the Network Engineer specialism:

  • Network Engineer
  • Systems Administrator
  • DevOps Engineer

For the Software Engineer specialism:

  • Software Developer
  • Software Engineer
  • Software Tester
  • Web and Mobile Developer
  • Systems Analyst

For the Data Analyst specialism:

  • Data Analyst
  • Data Scientist
  • Business Intelligence (BI)
  • Developer

During the programme learners are required to spend 20% of time at work on off-the-job learning.

The units in our degree apprenticeship equip learners with the advanced technical skills they need for their role. Each unit develops the core set of skills they must be able to do well to be competent in their role.

To ensure all apprentices can do these skills consistently well, we’ve designed each specialism with the following learning units shown in the tables below. Each unit has been aligned to the track learners is on to give them the specific skills they need for their specialism.

Our degree apprenticeship model is flexible — learners and employers have a choice of optional modules on each track to tailor the programme.

As part of their programme learners will complete:

  • Fourteen learning knowledge modules teaching advanced theory and practical application. These are primarily taught online, and supported by two, 2-day classroom training workshops, which will be held at a local training centre. (five modules are taught in year 1, five in year 2 and four in year 3)
  • Work-based projects will be completed at work over the course of the programme to demonstrate practical abilities.

This programme offers a choice between three specialisms: Network Engineer, Software Engineer or Data Analyst. For levels 4, 5 and 6 there are optional units to choose, which vary depending on which specialism learners choose. Get in touch with us to explore the options available.

The mandatory modules included in this programme are:

Level 4 mandatory units:

Module 1: Understanding Systems Development

Assessment: coursework [50%], online exam (2 hours) [50%]

  • Design, test, and implement a new software system.
  • Understand either internal development of customised systems, or the acquisition of third party developed software.
  • Understand how written standards and procedures must guide all information systems processing functions.
  • Define and implement standards and adopt an appropriate system development life cycle methodology governing the process of developing, acquiring, implementing, and maintaining computerised information systems and related technology.

Module 2: Maths and Algorithms

Assessment: coursework [50%], online exam (2 hours) [50%]

  • Introduces the theory and practice of problem solving in computing through computational mathematical methods and the development of algorithms.
  • Understand fundamental concepts from logic, and how to reason logically about numbers and data structures such as sets and trees.
  • Learn mathematical proof techniques, linear algebra, basic probability and other mathematical concepts that are needed, for example, to analyse the performance of algorithms or determine the correct view of a rotating 3D graphic.
  • Solve typical problems by using computing algorithms, including those used for searching and sorting data, string comparison algorithms and graph algorithms.

Module 3: Data Communications and Network Security

Assessment: coursework [50%],online exam (2 hours) [50%]

Introduces the basics of data communications and networks, covering network protocols and architectures.

  • Understand modern networking technologies, including protocol layering and network security measures.

Module 4: Work-based portfolio

Assessment: coursework consisting of a work based portfolio discussed with module leaders (max. 5000 words) [100%]

Students are expected to work independently, but also with guidance from their supervisors, to develop a reasonable level of competence in at least one area relevant to their apprenticeship.

  • Demonstrate evidence of significant engagement and achievement in the work place through the preparation and delivery of a work based portfolio.
  • Demonstrate that they have developed the necessary skills and aptitude to be able to systematically carry out (with a reasonable degree of independence) an important set of tasks with clearly identifiable outcomes relevant to the apprenticeship.
  • Develop a reasoned discussion and evaluation of the material presented in the portfolio as evidence of progress and achievement.

Develop their communication, time management, writing and analytical skills.

Level 5 mandatory units:

Module 1: Business Strategy

Assessment: coursework (consisting of at least one assignment, with components) [50%], online exam (2 hours) [50%]

  • Provide overall direction to the organisation.
  • Specify organisation’s objectives and develop policies and plans designed to achieve these objectives.
  • Allocate resources to implement plans.
  • Monitor execution and inform following actions and plans, based on consideration of resources and an assessment of the internal and external situations in which the business competes.

Module 2: Research Methods

Assessment: coursework (consisting of at least one assignment, with components) [100%]

  • Be able to undertake research.
  • Understand the nature of research (including research methodologies)
  • Examine the study skills necessary to manage and undertake a research project
  • Be familiar with the important empirical and theoretical research (including hypothesis testing).

This module provides a good foundation for undertaking a dissertation at an advanced level.

Module 3: Work-based project

Assessment: coursework (consisting of at least one assignment, with components) [100%]

  • Be able to undertake research.
  • Understand the nature of research (including research methodologies)
  • Examine the study skills necessary to manage and undertake a research project
  • Be familiar with the important empirical and theoretical research (including hypothesis testing).

This module provides a good foundation for undertaking a dissertation at an advanced level.

Level 6 mandatory units:

Module 1: Synoptic Project: Developing Technology Strategy

Assessment: assignment-based coursework with multiple components [100%]

On successful completion of the degree apprenticeship, apprentices need to demonstrate their competence through a rigorous synoptic assessment. The synoptic project will be completed towards the end of the programme to ensure they have developed the right skillset and experience so they’re ready for the assessment.

The synoptic project requires them to:

  • Effectively identify and use an appropriate selection of skills, techniques, concepts, theories and knowledge from across their training, to evaluate and synthesise new insights and a work-based solution.
  • Focus on how they have incrementally developed a technology strategy for their organisation during the course of their training and progression.
  • Discuss theoretical or technical knowledge, how they approached the practical assessment, and their reasoning based on their comprehensive portfolio of work covering Levels 5 and 6.

Module 2: Dissertation – Major Project (Work based)

Assessment: research proposal [10%], dissertation (major project) [90%]

During the final year of the degree, students are required to conduct a substantial piece of independent study and research, using sophisticated methods and tools. Students are expected to work independently with guidance from their supervisor, and to develop a level of expertise in the area of research.

  • Demonstrate they have developed the necessary skills and aptitude to be able to carry out a systematic study of a particular subject, agreed with their supervisor.
  • Investigate a particular subject in computing or IT systems, and develop a reasoned discussion and evaluation of the area.
  • Develop their communication, time management, writing and analytical skills.

The Dissertation (Major Project) is expected to focus on a theme relevant to the specialism the students is enrolled in.

Optional units include:

  • Agile performance testing
  • Artificial intelligence and machine learning
  • Bid data and analytics
  • Cyber security
  • Data modelling and SQL language
  • Data science
  • Designing and developing products for the internet of things
  • Functional programming
  • IT project management
  • IT security principles
  • Management for IT
  • Migration to cloud and hybrid infrastructure
  • Multi-vendor UNIX systems
  • Network design and troubleshooting
  • Object oriented programming
  • Planning and implementing a DevOps function
  • Servers storage and virtualisation
  • Service management
  • Service strategy and continuous improvement
  • Software-defend networking
  • Solutions architecture
  • Supporting and planning for hybrid and BYOA
  • Systems analysis and design
  • Test driven development
  • Unified communications
  • User experience design
  • Web and mobile development
  • Web application development
  • Web application security
  • Windows servers

For more information download the handout

NOTE: this programme is only available in England.

To contact us for more information please fill in the form below.

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