The aim of this module is to provide students with an understanding of the field of business analytics. This module will allow graduates to function in the modern business environment with the ability to operate between data scientists and management. It covers a broad range of topics, including areas related to quantitative analysis, statistics and data visualisation. Crucially, it also informs students of business performance metrics which are relevant in the modern working world. Students will learn how to engage with relevant literature, perform quality analysis and reinterpret it for application across all levels of the business.

1. Critically assess a wide range of spreadsheet functions used in a business environment

2. Demonstrate proficiency with appropriate statistical techniques, including descriptive and inferential analysis, that apply to businesses.

3. Examine and applybest practice in effective data visualisation techniques.

4. Critically reviewrelevant business performance metrics and their role in the modern business environment.

5. Critically engage withrelevant literature and report on key business insights arising from relevantanalysis.

This module will demonstrate several emerging technologies to the learner and will enable the learner to develop applications thereof. The student will learn about IoT, 3D, 360° and XR technologies and will examine how these technologies are used in different types of industries. The learner will implement practical applications of each of these technologies using a variety of hardware and software.

Artificial Intelligence (AI) Technologies and Applications will be utilised and implemented, where possible, in various components of this module.

1. Appraise requirements and implement IoT applications for various industries.

2. Determine requirements and generate 3D content that can be used in a variety of applications.

3. Compare and contrast requirements and produce 360 media for a variety of purposes.

4. Evaluate requirements and develop immersive applications and experiences.

In software problem areas that require exploratory development efforts, those with complex requirements and high levels of change, agile software development practices are highly effective when deployed in a collaborative, people-centred organizational culture. This course examines agile methods, including Scrum, Extreme Programming (XP), Lean and Kanban to understand how rapid realization of software occurs most effectively. The ability of agile development teams to rapidly develop high quality; customer-valued software is examined and contrasted with teams following more traditional methodologies that emphasize planning and documentation.

Students will study agile development principles, tool and techniques covering the entire software development process, and will be able to effectively participate in and manage agile software development as a result of their successfully completing this course.

1. Demonstrate a critical Knowledge of Agile software development and associated concepts.
2. Identify and analyse variousAgile Methods, such as Scrum and Extreme programming.
3. Identify and analyse the various agile domains of practice and associated tools and techniques that may be used from envisioning the project through to executing the project.

The module will provide the student with the networking skills, network service requirements and device configurations necessary in a small business. Students will explore cyber trends and threats with the aim to be safe online. Following on from there, the students will evaluate the measures used by organisations to mitigate the attacks. To deal with the growing needs of today's business, students will analyse the services provided by service providers in order to implement a secure IT infrastructure. Finally, students will investigate network compliance to formulate an IT compliance policy for a SME to prevent unethical activity, ensuring a fair workspace for all.

1. Examine the networking requirements for a small to mediumbusiness.

2. Design and implement a business network using wired and wireless technologies.

3. Critique cybersecurity anddata confidentiality in a business and recommend techniques to mitigate cyber attacks.

4. Critically assesscloud services for SMEsand determine how blockchaintechnology can be used in Cloud Storage.

5. Examine network compliance to prevent unethical activity ensuring a fair space for all to work

This module explores Digital Customer Experience, and its role within the modern business. It examines relational and experiential marketing, the expectations of the modern customers and how technology has driven these expectations. Additionally, the module assesses the use of data driven metrics which incorporate AI and other technologies to allow managers to provide the expected level of digital experience that the customer demands.

1. Examine how Digital Customer Experience is constructed and employed across marketing

2. Critically assess how technology is shaping Digital Customer Experience

3. Examine and assess the management of touchpoints throughout the customer journey across multiple platforms

4. Critically assess the role of data to drive Digital Customer Experience, including personalisation, retention and service encounters.

Design Thinking is a human-centred design methodology that provides an iterative approach to identifying and solving problems. The research-based method integrates the needs of people, the possibilities of technology, and the requirements for a viable business success model, to design innovative solutions that benefit all project stakeholders.

1. Determine project tasks and stakeholders.

2. Conduct project specific research through interviews, usability tests, etc.

3. Interpret research and define specifications to ideate solutions.

4. Experiment by building prototypes to validate solutions.

5. Evolve and present prototypes through research participant feedback.