Data Analytics and Digital Solutions for Business (Level 6 apprenticeship)
(BSc) Data Analytics and Digital Solutions for Business (Level 6 apprenticeship)
Entry for 2025
This course has not been confirmed. Changes to details and modules are possible.
FHEQ level
This course is set at Level 6 in the national Framework for Higher Education Qualifications.
Course learning outcomes
Systematically understand data structures and develop technical proficiency in data analytics tools to manage, cleanse, abstract, transform, aggregate, and visualize data across network infrastructures with practical applications in real-time data processing and decision-making environments.
Demonstrate a comprehensive understanding of maintaining data quality and integrity, along with a deep knowledge and implementation of data cybersecurity principles and protocols to safeguard sensitive information, through real-world scenarios and compliance practices.
Competently apply various data analytics tools and technologies, data visualization software, software development procedures, and algorithms in various business contexts to perform standard and custom analytical studies, using case study to build practical, hands-on experience.
Develop, deploy, and manage digital solutions using AI and machine learning to address specific business needs, incorporating tools and frameworks widely used in industry to solve real-world problems.
Demonstrate practical problem-solving skills by analysing complex business environments and applying project management principles to real case studies, identifying strategic and operational improvement opportunities.
Evaluate data-driven solutions by applying business and financial analysis skills to assess commercial viability, security considerations, and risks, enabling informed decision-making in a digital business environment.
Comprehensively understand and critically evaluate the societal and environmental impacts of technological solutions, implementing legal, ethical, and sustainable practices within real-world business projects.
Lead data-driven projects and communicate findings effectively to various stakeholders; support teams and colleagues with analytics and reports, making recommendations to improve business performance and drive business improvement through digital and technological solutions.
For information on the composition of this course please see either the on-line Undergraduate prospectus for undergraduate related courses or the on-line Postgraduate prospectus for postgraduate related courses.
More detailed information on the course structure and modules within this degree will be available on this page shortly.
Please note that the University will use all reasonable endeavours to deliver courses and modules in accordance with the descriptions set out here. However, the University keeps its courses and modules under review with the aim of enhancing quality. Some changes may therefore be made to the form or content of courses or modules shown as part of the normal process of curriculum management.
The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.