BSc (Hons) Digital & Technology Solutions

This module aims to develop core knowledge concerning technology and its application within organisations and serves to expose the complexity of issues when faced with rapidly developing technologies and the resultant impacts on business practice

This module is an introduction to the fundamentals of Software Engineering covering the basics of programming and the systems development process. Taking an idea through initiation, analysis, design, build, test, implementation and support, to deliver value to the customer or business.

This module will introduce the basics of data communications and networks, covering network protocols and architectures. The module will also introduce students to modern networking technologies, including protocol layering and network security measures.

In this module, learners will develop self-guided skills and knowledge related to their professional development needs, and the context in which they are working. Digital Technology is a field in which professionals can find themselves working within a number of different contexts and specialisms, each requiring a specific skillset.

Professional Practice 1 is an opportunity for learners to tailor the learning conducted within Level 4 of your programme towards acquiring those skills and knowledge that will help them to develop towards becoming Digital & Technology Solutions Professionals.

Learners can select the Microsoft-Get-On elective module (CA – Microsoft Azure Fundamentals (AZ-900). This will give them access to bespoke Cloud Academy content. Content on this elective module / Cloud Academy space has been created from official Microsoft learning and QA authored courses. This will enable learners to complete additional Microsoft qualifications.

Upon completion of the module, the learner will have a firm theoretical understanding of relational databases and a fundamental understanding of non-relational databases, be able to perform routine database administration tasks and query solutions for analysis on relational databases. Moreover, theoretically and conceptually understanding of key features surrounding data security will be addressed.

The focus of this module is to facilitate a project management approach to establishing learning communities in the IT sector. Students will be enjoined to work effectively, both independently and as members of a project group; and to evaluate possible solutions to a problem by selecting the best approach. The module also supports students in managing and effectively documenting the activities involved in providing the selected solution to an IT problem.

This module will initially explore the wider service management methodology that informs business systems and process development by both examining alternate standards and methodologies and expanding on key foundational areas. It will also explore and analyse the challenges of taking service management methodological theory and translating it into operational service delivery.

Added: This module explores the concepts around Cyber Security, with a particular focus on risk analysis and mitigation. This includes understanding the vulnerabilities that can exist in systems, investigating how and why adversaries might attempt to utilise vulnerabilities to achieve their goals, and what mitigations can be put into place to reduce or eliminate such risks.

• Building on the learning undertaken in Professional Practice 1, learners will further develop self-guided skills and knowledge related to their professional development needs, and the context in which they are working.This learning is applied and evaluated using appropriate reflective models, providing opportunities for learners to develop and add to their apprenticeship portfolio with the acquired skills and knowledge.Learners can select the Microsoft-Get-On elective module.Depending on the pathway, learners can choose one of the below modules:
  • Data Pathway – CA – Data Engineering on Microsoft Azure (DP-203)
  • Network Engineer – CA – Microsoft Azure Administrator (AZ-104)
  • Software Engineer – CA – Developing Solutions for Microsoft Azure (AZ-204)
  • Consultant – CA- Microsoft Azure Solutions Architect Expert (AZ-305)

This module will help develop critical knowledge and skills required for the implementation and management of Cloud Solutions & Architectures. It will provide an introduction to Cloud Computing, before moving on to provide an analysis of business and architectural requirements for Cloud Solutions. The learner will explore topics that will aid with the creation of usable and scalable cloud-computing solutions that conform to industry best practices.

This module looks at data architectures in the context of meeting the information requirements of an organisation. It focuses on the modelling and analysis levels in the data analytics hierarchy of needs. Students will learn about bringing data together to form enterprise data warehouses and will also develop skills in data analytics, the results of which are intended to enrich the organisation with knowledge of both internal and, where appropriate, third-party behaviour which can, in turn, be used to drive strategy.

This module will be the next step for those on the specialist Software Engineer path and will continue to relate developer skills with Systems Development concepts and tools.

The module will focus on the creation of non-trivial applications using an Agile approach and take a deeper look into the tools, techniques and roles that support the development process. Students will be given a first-hand experience of the incremental and iterative approaches most organisations are now utilising to develop their IT systems and products.

This module aims to provide students with key knowledge and skills relating to the principles of data science. Whilst overviewing the data science hierarchy of activities from data collection through to deep learning, the module concentrates on the machine learning level. Students will learn about preparing data, applying machine learning algorithms and interpreting results.

Unchanged: This module seeks to develop theoretical and technical skills in business transformation within complex business environments. The learner will develop analytical skills and core knowledge around problem-solving techniques that enable businesses to adapt to environmental conditions. In addition, the module seeks to encourage the application of these concepts in the work environment to develop professional practice.

This module will provide a broad range of knowledge in the application of planning, designing, configuring and supporting networks and their associated network devices and services found in modern networks. Consideration will also be given to the different types of traffic found in these networks to ensure appropriate capabilities and security levels that are required in today’s networks.

This module will support degree apprentices to bring together skills and knowledge from modules at previous levels in order to develop a holistic technology strategy for their team, department, client or organisation. The module will also support apprentices to create successful technology strategies to deliver business value by considering business strategy, technical architecture, design and the financial business case.

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. The Major Project is expected to focus on a theme relevant to the specialism the student is enrolled in.

This module introduces learners to research methods and approaches to writing project proposals and dissertations. In addition, learners will establish an understanding of how research methods are implemented in technical business contexts. Further to this the module will develop learner research skills and develop strategies to develop their knowledge and skills before applying these to their major project. This will improve outcomes for the major project module by enabling learners to clarify their planned research activities at an early stage.

This module is concerned with existing and emerging technologies and the challenges faced within an ever-changing technology landscape and the complexities surrounding how such technologies can be leveraged within an organisation.

Further building on the learning undertaken in Professional Practice 2, learners will develop advanced self-guided skills and knowledge related to their professional development needs, and the context in which they are working.

This learning is applied and evaluated using appropriate reflective models, providing opportunities for learners to develop and add to their apprenticeship portfolio with the acquired skills and knowledge.

Learners can select the Microsoft-Get-On elective module. This will give them access to bespoke Cloud Academy content.

Learners can choose one of the below modules:

• Microsoft Azure Security Technologies (AZ-500)
  Pre-requisite – Azure fundamentals – AZ900 (Studied at L4)
• CA – Microsoft Azure DevOps Solutions (AZ-400)
  Pre-requisites are: AZ104 & AZ-204 (1 of which studied at Level 5)
• CA – Designing and Implementing a Data Science Solution on Azure (DP-100).
  Pre-requisite – Azure fundamentals – AZ900 (Studied at L4)
• CA – Designing and Implementing a Microsoft Azure AI Solution (Preview) (AI-102)
  Pre-requisite – Azure fundamentals – AZ900 (Studied at L4)

The module will provide the knowledge and skills required to configure, troubleshoot and manage enterprise networks ensuring factors that may impact the performance, availability and security of network devices and services are considered. Consideration will also be given to new emerging technologies and how they fit into the current landscape.

DevOps describes a culture and set of processes that bring development and operations teams together to complete software development. It allows organisations to create and improve products at a faster pace than they can with traditional software development approaches.

This module considers applying data models and algorithms to data sets with the purpose of finding new insight or making predictions. You will source data within an organisational context and apply appropriate techniques to build models that identify potential opportunities or risks.

Data visualisation is the representation of data through graphs, charts and tables that allow you to see and understand patterns and trends. You will analyse large and complex data sets, and use a variety of software tools to be able to communicate metrics and results. Through the use of effective visuals, you will be able to present findings that are beneficial for making data-driven decisions.

The purpose of this module is to introduce apprentices to modern theory and practice in consultancy, including professionalism, identification of problems and business needs, and implementation and taking action. The module will focus on developing proficiencies in a range of skills and aptitude required to practice consulting in a technology context.