This module will teach students about the role of data and analytics in contemporary marketing by examining website and social media analytical platforms. Students will be introduced to a number of online contemporary platforms including Google Analytics, Facebook Insights, Instagram Analytics, Twitter Analytics and LinkedIn Analytics. The module will enable students to comprehend key metrics that marketing executives use to inform their decision making.

1. Engage with various web and social media analytical online tools and platforms to understand key marketing metrics.

2. Navigate the Google Analytics Platform.

3. Define and useweb and social media analytical terminology.

4. Identify and demonstrate understanding ofkey digital, financial and marketing metrics.

5. Identify the advantages of using web and social media analytical software for marketing decision making.

This module aims to provide students with an understanding of the issues and processes that constitute effective contemporary management practice. This module will outline challenges for todays managers along with current trends and issues which influence managers in carrying out the functions of management.

1. Display knowledge of the nature of management and its role in business outlining the historic evolution of management theory.

2. Analyse the complexity of the external environment and interpret the factors that influence organisational decision making.

3. Summarise and interpret the planning function

4. Analyse the importance of organisational structure.

5. Discuss and appraise the role ofleadership in organisations.

6. Appreciate how control tools can be used to improve performance in an organisational setting.

This module will introduce the students to the fundamentals of business finance. Allowing the students to develop an understanding of the principles of business finance and apply and analyse these principles for Business (Limited Company) Financial Statements.

1. Discuss the fundamental concepts,terminology and the accounting ethicsof business finance.

2. Recognise the distinction between business accounting and finance

3. Interpret, compare and contrast the Financial statements of two limited companies

4. Identify and distinguish sources of finances for start up and existing business

5. Describe and illustrate key business process controls on business finance such as Bank Reconciliation statements

This module will introduce the basics of relational and non-relational database design using Microsoft Access and a NoSQL Database . It will discuss and develop a range of data retrieval and manipulation methods. These techniques will be applied to a relevant business case study and will develop a range of skills enabling students to apply relational and non-relational database technology skills in the workplace.

1. Define tables and views with appropriate constraints to ensure data integrity and relational integrity

2. Identify and distinguish between data and meta-data

3. Manipulate data in a relational database using SQL

4. Modify data in a non-relational NoSQL database

5. Develop a database for a business application

Logical thinking and problem-solving are great skills for any individual. This course introduces the student to these skills and enables them to start writing code using the Python programming language.

They will learn about the software development lifecycle, development tools and will gain the ability to write programs that make use of fundamental programming constructs.

1. Explain what programming is and how it pervades our everyday lives

2. Apply problem solving techniques so that programs can be developed in an orderly fashion

3. Write programsto make use of Input and Output, variables andsimple data types for sequential execution of code

4. Implement control structures such as If statments and Loopingto allow programshave non-sequential execution of code

Physical, real-world things are becoming increasingly visible and actionable via Internet and Web technologies. Propelled by dramatic decreases in technology costs, a proliferation of sensors, improved connectivity including between devices, the market is estimated to grow to €10bn world-wide by 2022. This includes cell-phones, washing machines, jet engines and soon, humans.

The goal of the module is to look top-down as well as bottom-up, to provide students with a practical understanding of the Internet of Things and the forms it can take – human-to-human, human-to-device and device-to-device.

By looking at a variety of real-world application scenarios of the IoT and diverse implemented applications, the various understandings and requirements of IoT applications become apparent. This allows students to understand what IoT technologies are used for today, and what is required in certain scenarios.

Students will be given the opportunity to apply these technologies to tackle scenarios of their choice using an experimental platform for implementing prototypes and testing them as running applications.

1. Evaluate the term Internet of Things bydescribingsome current and potential business applications and the different technologies employed.

2. Work collaboratively with others to use, adapt and contribute to open source repositories of IoT coding solutions

3. Synthesise knowledge of and skills withmicro-processor boards and related components/libraries to build small IoT sub-systems

4. Create an Internet of Things application which connects sensor data to an Internet Application Programming Interface (API).

This module is designed to provide students with an understanding of key people management processes and practices within organisations today. It examines the role of the human resource professional as a strategic business partner. Mixing theory and practice, it will explore key functions of HRM including human resource planning, employee resourcing, performance management, employee relations and reward management.

1. Debate the role of the human resource function in an organisational context.

2. Describe the key elements of talent planning and managementand how to use HRmetrics to make better business decisions.

3. Review the main aspects of recruitment and selection.

4. Evaluate the role of performance management in organisations.

5. Outline the role of reward within human resource management.

6. Examine approaches to employee relations in organisations.

This module will provide students with a basic understanding of management accounting and the tools available, through this accounting discipline, which can assist in providing management with information for planning, controlling and decision-making purposes.

1. Describe and evaluate the role of a management accountant within an organisation, the organisationalrequirements of this role and any possible ethical issues they face.

2. Identify, analyse and categorise costs and cost behaviour and explain the terminology used in cost accounting.

3. Apply and evaluate cost accounting techniques to calculate the cost of producing a product or providing a service.

4. Explore the variousplanning and control techniques utilised by managers of an organisation. Choose , calculate, and interpret these decision making techniques when appraising business choices.

5. Describe and evaluate the budgetary process, as a mechanismfororganisations to develop and assess performance and prepare functional, cash and incremental budgets.

The purpose of this module is to give the learner a general introduction to the Irish and European legal systems together with a good working knowledge of the law, creating awareness of areas where legal expertise may be required. The learner will acquire knowledge and skills in relation to the application of basic legal principles and will be equipped with a broad general knowledge of a diverse range of legal subjects, including Contract Law, Tort Law, Company Law, Commercial Law, Employment Law, and Business Ethics.

1. Describe the system of administration of justice in Ireland in relation to Civil and Criminal Law.

2. Apply the fundamentals of Contract Law, Tort Law,Company Law and Employment Lawin making informed decisions in business.

3. Analyse and interpret commercial agreements while acknowledgingthe significance of ADR, Intellectual Property and Data Protection in an evolving commercial environment.

4. Demonstrate an understanding of the Principles of Insurance

5. Recognise key factors that will influence decision making within a complex legal environment

6. Demonstrate the ability to cooperate and work effectively with peers

This module sets the broader context for software development by giving an overview of alternate system development life cycles and focuses on the gathering, analysis and validation of software requirements using agile and more conventional methods. Using a practical approach, methods for requirements elicitation and documentation are introduced and explored through practical case work. Requirements for documentation and modelling, using a range of techniques such as user stories and object-oriented analysis techniques are also addressed.

1. Elicit user requirements
2. Document user requirements
3. Analyse and detail user requirements using a range of methods
4. Apply theory to practical problems.

This module is intended to introduce students to the concepts of gathering data from external sources and generating visualisations that could help drive business decisions. Understand how to display and support data analysis through a variety of techniques.

1. Obtain a basic understanding of data and be able to verify the correctness of the data.

2. Utilise data preparation techniques to gather and organise different sources of data.

3. Define key principles of data visualization.

4. Describe common features of infographics.

5. Generate visual representations of data to present summaries and potential solutions to problems based on the data.

This module builds on the fundamentals of python programming learned from the previous module. The student will learn how to develop programs that make use of python constructs such as lists and dictionaries. By developing structured and reusable code through the implementation of functions and modules, the student will also learn about using functionality with existing pre-built libraries. These techniques will be combined with reading and writing of data to files and creating simple visualisations of data.

1. Demonstrate how to access, change, add and remove elements from a List

2. Discover how functions allow us to develop modular code

3. Implement the structuringdataas key value pairs with Dictionaries

4. Developprograms to process data file with the utilisation of existing Python libraries

The overall objective of this module is to examine research and its application within business and related disciplines. The module will enable students to acquire the research skills and competencies necessary for the completion of a dissertation or applied research project in a subsequent semester. The aim is to provide an appreciation of research as a tool for generating information, to enhance business decision-making and to create potential solutions for problem-solving.

1. Demonstrate an understanding of the critical role of research and have an appreciation of its uses in business and related disciplines.

2. Demonstrate the ability to complete effective secondary research by formulating a literature review or industry/sector review.

3. Write and present a research proposal on a topic related to Business and/or ICT, or other related discipline, which selects the most appropriate research methodologies in response to a research question.

4. Demonstrate an understanding of data analysis methods appropriate to research studies.

5. Explain the importance of ethics in research.

This module provides an overview to the principles of starting and leading new ventures and/or projects in start-ups, SMEs, large corporations and non-profit organisations. The student is introduced to the importance of leading and managing projects, teamwork, collaboration and leadership in developing a new business venture. Students will also consider a number of contemporary issues, in particular, intrapreneurial thinking, business process redesign, lean strategies within the changing landscape of business and the importance of fostering a culture of innovation, creativity and critical thinking in the organisations of the future.

1. Outline and evaluate the major theories and concepts from the entrepreneurship and entrepreneurial literature and relate them to practical applications in a variety of settings.

2. Develop and demonstrate an understanding of entrepreneurial thinking and the interdependent nature of entrepreneurship, innovation, creativity, critical thinking and leadership:

3. Develop ideas into workable business concepts and models, and assess the knowledge, skills, attitudes and behaviours necessary to bring an innovation to the workplace andto market

4. Critique and appraise the role that business process reengineering (BRR) plays in the organisations of the future.

This module will provide students with the ability to analyse the main macroeconomic indicators in an economy, and to determine appropriate monetary and fiscal responses to national, regional and global macroeconomic conditions. Students will be introduced to classical and neo classical economic theory related to the main economic indicators of economic health such as GDP, unemployment, inflation and net exports. They will learn to determine appropriate policy responses for economic ailments such as recession, hyperinflation and unemployment.

1. LO 1: Analyse the macroeconomic health of a country using key indicators such as GDP, unemployment and inflation.

2. LO 2: Evaluate the most appropriate monetary and fiscal responses to minimise the impact of the boom and bust cycle.

3. LO 3: Determine suitable strategies for governments to minimise unemployment and maximise labour force participation rates.

4. LO 4: Justify the promotion of free trade and the minimisation of protectionist policies based on the concept of comparative advantage.

5. LO 5: Critique the use of choice architecture and nudging as a basis to influence positive societal outcomes without coercion.

This module aims to give participants an in-depth understanding of essential quantitative approaches that can help businesses discover important information within their data and use this evidence to make informed business decisions. It is designed to form the participants within the key concepts and approaches of quantitative methods, various statistics techniques and reporting skills that will enable them to solve problems using business data. The module will address key areas, primary and secondary data, data management and software, sampling, survey design and metrics, descriptive and inferential statistics, and report writing.

1. Critically evaluate the role of surveys, metrics, sampling techniques, exploratory and hypotheses based testing approaches within business reporting and decision making

2. Utilise computer software and spreadsheet functions for business data management

3. Perform both descriptive and inferential statistical analyses for both longitudinal and cross-sectional data, using both primary and secondary business data sets

4. Create statistical and written reports suitable for business decision making

This module provides an Introduction to the field of Artificial Intelligence, with a particular emphasis on applications for 'real-world' problem-solving, including Machine Learning. Data and AI are an ever-increasing source of power in so many aspects of lived experience – as Bucher (2018) puts it, 'we live algorithmic lives'. Our bank determines our credit-worthiness, our search engines determine the results we see, our TV streaming service determines what movies to show us, our education institutions choose whether to admit us, all from algorithmic decisions made from our data. And now that connected, autonomous, Artificial Intelligence (AI) powered systems are controlling more and more everyday things like vehicles, security access, and our exercise regimes, this trend is only going to increase.

We will explore the evolution of AI from early work in the 1940s and 1950s by Alan Turing and many others, to today's AI revolution spearheaded by Jeff Hinton's revitalisation of the field through Deep Learning. We will differentiate between the goal of general AI and today's 'weak AI'. We will also outline the main sub-fields of AI before concentrating efforts on some modern approaches to today's dominant sub-field of Machine Learning.

With an understanding of the history and basic concepts, this module then progresses to look at how AI is becoming a key technology lever for a wide variety of business scenarios. Armed with this understanding of business applications, students will then build a practical AI implementation in a business area that is of interest to them.

1. Describe the evolution of Artificial Intelligence from its early beginnings to today’s Machine Learning AI systems found in business, healthcare, econometrics, psychology, finance, and the future applications that may emerge in decades ahead, and analyse some seminal approaches to the development of AI.

2. Implement a basic Machine Learning algorithm using some business data to predict outcomes

3. Apply Machine Learning techniques to a ‘real world’ problem domain in a business context after evaluating some possible approaches

4. Evaluate applicability of a selection of Artificial Intelligence approaches to given business scenarios

Learners will examine Cyber Security in relation to a business environment, in particular the module will explore specific attacks, attackers motives and threat modelling in a business environment. The learner will critically evaluate the challenges in relation to cyber security and the consequences of a data breach for an organisation. The learner will explore and evaluate different cryptographic systems and how they differ from each other.

1. Evaluate and explorethe term Cyber Security andits relevance in a business environment

2. Analysesecurity issues,analyse ways businesses can mitigateagainst security issuesand illustrate consequences of security breaches for an organisation

3. Examine thecomponents of a cryptosystem andanalyse different cryptographic attacks

4. Examineand analysethe principles of Cryptography

Students are required to undertake a piece of supervised independent research. Students are expected to show critical thinking, understanding of how knowledge is generated and used and be able to work independently. The aim of this module is to support each student to complete a dissertation or applied research project on a selected topic. The output of this module will be a dissertation or project report of approximately 10,000 words. This research project will be on a topic related to Business and/or ICT.

1. Apply theoretical and methodological understanding and skills into devising researchable ideas and specific research questions or hypotheses, based on an approved research proposal

2. Conduct a critical review of relevant literature and/or relevant industryreports and documents.

3. Demonstrate the ability to collate and critically analyse research findings

4. Derive conclusions and provide recommendations based on research findings

5. Present research in the form of a dissertation or applied research project, where research findings are communicated clearly, concisely and effectively.

6. Consider and demonstrate the implementation of research findingsin the context of a practical application, where appropriate.

The aim of the module is built on the learning acquired in previous Management modules. Learners will critically examine strategy and strategic management theoretically, with a particular focus on applying it to practice. It blends theory and practice by introducing a range of concepts and frameworks for understanding strategy, its process and strategic leadership and management, exploring these concepts in the light of practical case studies.

Learners will critically examine how these ideas, concepts and tools can support the development of business and sustain competitive advantage within an organisation.

1. Explore the history of strategic management and what this means for current organisations.

2. Examine theories, concepts and frameworks that support successful strategic management.

3. Critically analyse an organisation’s internal and external environment and consider its impact on strategic design, development and implementation.

4. Engage with and critically evaluate the challenges when implementing strategic management practice andhow you might address this within a given organisationalcontext.

5. Illustrate the importance of ethical practice and socially responsible practice within all stages of the strategic management process.

This module introduces the learner to the concept of Digital Transformation. It will identify the nuances of digital innovation, disruptive growth and transformational change for traditional organisations and how borne digital organisations such as Facebook, Amazon, and Google are harnessing the potential of the innovative SMAC IoT (social mobile, analytics, cloud and the Internet of things) technologies to improve organisational effectiveness and efficiencies. This module explores the key factors necessary for a successful digital transformation, including the importance of Top Management Support, a shared vision of the digital transformation, a digital transformation strategy, an agile workforce and the importance of a robust operational backbone which will support a digital service platform. This module will examine how these factors will positively influence the outcome of a digital transformation.

1. Critically examineemerging technologies and evaluate their contribution to society and the organisation of the future.

2. Identify and discuss the key challenges encountered by organisations when implementing a digital transformation including, unity of effort, organisational politics, and lack of appropriate skills.

3. Develop and demonstrate an understanding of the evolution of Information Communication Technology (ICT) and how this technology has evolved into the complex IT Architecture and Infrastructure in organisations today.

4. Explore the role of top management and how top management can support the organisation as it moves towards implementation of the digital transformation.

This module aims to provide the learner with comprehensive knowledge of what constitutes a Cloud Computing environment. The learner will be exposed to and distinguish between the different cloud models while critiquing the business strategies and management in the cloud. The module will also identify and evaluate the legal and compliance aspects that need to be considered when deploying to the Cloud in a business environment.

1. Engage with and analysethe architecture and characteristics ofa Cloud Computing environment

2. EvaluatedifferentCloud Delivery Models and requirements for implementing Cloud computing

3. Analyseand critique business strategies and managementof Cloud Computing for a business

4. Illustrate the importance of legal and complianceconsiderations for implementing Cloud Computing solutionsin business environments

This module addresses the need for a strong ethical framework as applied to information and communications technology.

1. Understand the philosophical framework and tools for analysing computer ethics in personal, public, and professional spheres.

2. Describethe impact of computer technology on issues of security, privacy, and anonymity.

3. Examineintellectual property rights in the context of computing.

4. Appraise the new frontiers of ethics presented by artificial intelligence, virtualisation technologies, virtual reality, and the Internet.