Learning Outcomes

Learning Outcomes

Outcome Type:
Skill

The learner will be able to:
a) Construct a detailed business model plan, integrating at least two emerging technologies and outlining their potential benefits and impacts.
b) Match appropriate technology solutions to a given business area or process needing simplification or optimisation, and provide a clear implementation roadmap.
c) Develop and present a comprehensive training module to enable staff to use chosen emerging technologies in their daily tasks competently.

Outcome Type:
Knowledge

The learner will be able to:
a) Describe three specific ways that digital technologies can transform a chosen business’s operations, illustrating with a case study.
b) Analyse a given business model and identify at least two key areas/aspects which can benefit from a technological upgrade, providing a detailed report outlining the rationale and potential impact of these upgrades.
c) Assess and select at least two relevant emerging technologies that can enhance efficiency, reduce costs, and increase competitiveness and profitability of a specific business model, justifying the choices with comprehensive cost-benefit analyses.

Requirements:

Applicants must meet the following entry requirements:
a) Hold a qualification at MQF Level 4 (e.g., one A-level or equivalent in any subject);
b) Possess a pass in English Language and Mathematics at MQF Level 3 (O-Level or equivalent);
c) Have at least 2 years of work experience in a technology-enhanced environment; and
d) Demonstrate a basic level of digital competence, including the ability to access online learning platforms and participate in blended learning activities.

Learning Outcomes for Module 1: Emerging Technologies for Digital Transformation

Outcome Type:
Competences

At the end of the module, the learner will have acquired the responsibility and autonomy to:
a) Integrate specific technologies into their business strategies, as demonstrated by creating a detailed strategic plan.
b) Identify and evaluate at least three different emerging technologies, as evidenced by a comparison report on their business applications.
c) Lead a digital transformation initiative in a simulated business scenario, supported by a presented step-by-step transformation roadmap.

Outcome Type:
Knowledge

At the end of the module, the learner will be able to:
a) Articulate how specific technologies can transform a given business, using at least three case studies to illustrate these transformations.
b) Pinpoint at least two aspects of a business model that require technological upgrades, backed up by a detailed analysis report of these aspects and the proposed upgrades.
c) Choose appropriate technologies for identified business aspects needing change or upgrades, demonstrated through a comprehensive implementation plan for improved effectiveness and efficiency.

Outcome Type:
Skills

At the end of the module, the learner will have acquired the following skills:
a) Construct a successful business model that integrates chosen technologies, showcased by a comprehensive plan.
b) Apply specific technologies to enhance at least three different areas of a business, demonstrated through a detailed application proposal.
c) Operate chosen technologies proficiently, assessed via practical exercises and role-play scenarios performed throughout the course.

At the end of the module, the learner will be able to:
a) Exhibit a clear understanding of how specific emerging technologies facilitate digital transformation, illustrated through a presentation showcasing real-world business applications.
b) Anticipate and prepare for future technological development in their business sector, evident from a forward-looking strategy plan.
c) Amend their existing business plans to accommodate digital transformation, seen through a revised business plan incorporating emerging technologies.

At the end of the module, the learner will be able to:
a) Utilise the basic knowledge of specific technologies in their business, demonstrated through the presentation of a strategic technology adoption plan.
b) Devise a comprehensive business plan for digital transformation, incorporating at least two emerging technologies.
c) Execute these technologies proficiently in their own business, as assessed through a series of practical exercises.

Learning Outcomes for Module 2: Artificial Intelligence (AI)

Outcome Type:
Competences

At the end of the module, the learner will have acquired the responsibility and autonomy to:
a) Analyse and respond to business challenges and opportunities by applying Artificial Intelligence, as demonstrated by creating a strategic plan for integrating AI in business scenarios.
b) Execute specific tasks utilising AI technologies to improve business outcomes, shown through case study simulations.
c) Systematically monitor and analyse market conditions using AI-based tools, as evidenced by market trend reports produced using these tools.

Outcome Type:
Knowledge

At the end of the module, the learner will have garnered the knowledge and understanding of:
a) Articulate AI concepts, their use, and potential implications.
b) Discuss the importance of AI in digital transformation and its potential for integration within an organisation/business.
c) Identify and detail at least three different areas/departments within a business that could optimally use AI to enhance business operations.

Outcome Type:
Skills

At the end of the module, the learner will have acquired the following skills:
a) Apply AI to two specific business operations.
b) Use AI proficiently across two different business sectors.
c) Illustrate how AI facilitates digital transformation in a business.

At the end of the module, the learner will be able to:
a) Design a comprehensive business strategy that incorporates AI for the digital transformation of a business.
b) Identify a specific department/sector within an operation and design strategies to apply AI in a business.
c) Execute basic AI operations, proven by a series of practical exercises.

At the end of the module, the learner will be able to:
a) Construct robust AI-based business strategies.
b) Utilise AI to precisely target, compile, and address customer/client needs.
c) Achieve improved return on investment and increased profits by using AI solutions to automate, simplify, and streamline operations.

Learning Outcomes for Module 3 – Blockchain Technologies

Outcome Type:
Competences

At the end of the module, the learner will have acquired the responsibility and autonomy to:
a) Integrate blockchain technology into business processes, demonstrated through creating a blockchain implementation plan.
b) Execute specific tasks utilising blockchain technology as part of digital transformation initiatives, demonstrated through practical exercises.
c) Oversee and manage cryptocurrency transactions, showcased through the successful completion of simulated transactions.

Outcome Type:
Knowledge

At the end of the module, the learner will have understood the following:
a) Comprehend the fundamental principles and mechanics of blockchain technology.
b) Explain the practical applications of blockchain technology in a business context.
c) Analyse how blockchain technology can enhance a business during digital transformation.

Outcome Type:
Skills

At the end of the module, the learner will have acquired the following skills:
a) Apply the principles of blockchain technology in two business scenarios.
b) Demonstrate practical understanding and application of blockchain technology across two business sectors.
c) Develop and execute two business transformation strategies that include blockchain technology.

At the end of the module, the learner will be able to:
a) Leverage blockchain technology to enhance two business operations in emerging markets.
b) Revise existing or create new business strategies that align with market needs using blockchain technology.
c) Facilitate digital transition in a business by implementing blockchain technology.

At the end of the module, the learner will be able to:
a) Develop a strategic plan using blockchain technology to streamline and optimise operations.
b) Identify two business sectors where blockchain technology has the potential to be applied.
c) Design and execute two basic blockchain operations.

Learning Outcomes for Module 4 – Internet of things (IoT)

Outcome Type:
Competences

At the end of the module, the learner will have acquired the responsibility and autonomy to:
a) Design an integrated technological network that connects different devices across various business sectors, demonstrated through creating a connectivity blueprint.
b) Engineer an autonomous system applicable to a business sector.
c) Oversee and manage data flow within a business context, exemplified by managing a simulated data flow scenario.

Outcome Type:
Knowledge

At the end of the module, the learner will have the ability to:
a) Define and illustrate the core components and mechanics of the Internet of Things.
b) Describe the role and application of IoT in data and cloud computing.
c) Analyse how the application of IoT can revolutionise a business.

Outcome Type:
Skills

At the end of the module, the learner will have developed the ability to:
a) Architect a technological network that connects various devices across multiple locations.
b) Conceptually develop a central control system that oversees multiple business operations.
c) Manage a business operation centrally from a single device/location.

At the end of the module, the learner will be able to:
a) Incorporate IoT into applications to simplify data analysis in developing markets.
b) Craft or update a business strategy that aligns with the needs of a developing market.
c) Design and implement IoT systems to facilitate digital transformation in a business.

At the end of the module, the learner will be able to:
a) Apply IoT knowledge to enhance business operations.
b) Develop a competitive business strategy integrating IoT and other emerging technologies.
c) Utilise IoT to connect and manage all aspects of a business remotely.

Learning Outcomes for Module 5 – Extended reality (XR)

Outcome Type:
Competences

At the end of the module, the learner will have acquired the responsibility and autonomy to:
a) Incorporate Extended Reality (XR) within business strategies, demonstrated by creating a strategic blueprint that includes XR technology.
b) Identify the ethical standards of XR use.
c) Drive productivity and efficiency improvements through XR integration in a business.

Outcome Type:
Knowledge

At the end of the module, the learner will have an understanding of:
a) Comprehend the basic principles and application of Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR).
b) Identify and evaluate the ethical considerations involved in developing and using XR applications.
c) Analyse the potential benefits and challenges of XR applications in a business context.

Outcome Type:
Skills

At the end of the module, the learner will have acquired the following skills:
a) Conceptually design two XR applications in a chosen business context.
b) Explain how XR can transform a business.
c) Identify the proper use of XR-based applications.

At the end of the module, the learner will be able to:
a) Implement XR technology within a business context.
b) Formulate a business strategy that incorporates XR to improve business outcomes.
c) Utilise XR technology in product presentations.

At the end of the module, the learner will be able to:
a) Identify three ways in which XR technology enhances competitiveness.
b) Align business strategy with market needs using XR.
c) Deploy XR technology to facilitate the digital transition in a business.