Bachelor’s Degree in Business Analytics + Business Administration and Management

Objectives

To provide students with an in-depth understanding of the digital society and the smart society, as well as the technological and industrial revolution. Furthermore, the module aims to explore the concept and evolution of digital transformation, analyse emerging disruptive business models and understand the impact that digital transformation has on contemporary business strategy.

Prerequisites

None specified

Learning Outcomes

Degree programme adapted to Royal Decree 822/2021 of 28 September, which establishes the organisation of university education and the procedure for ensuring its quality.

Learning outcomes

Knowledge:

RK2. Understands the function, organisation and management of the company and its key variables.

RK8. Understands the various tools offered by the fields of computing and digital technology as a basis for implementing strategies within the organisation

Skills:

RS1. Prepares projects and reports, both orally and in writing, in a business context.

Competence:

RODS. Develops effective communication, teamwork, analytical thinking, creativity and ethical leadership from a

and clearly drawing on democratic principles and values, as well as the Sustainable Development Goals, in order to conduct oneself

with integrity in the professional sphere.

Description of the content

1. The digital society and the knowledge society

2. Technological and industrial revolution

3. Concept and evolution of digital transformation

4. Disruptive business models

5. Impact of digital transformation on corporate strategy

Training activities

P1. Lectures

P2. Interactive classes

P5. Independent study, case studies or problem-solving, literature reviews.

P6. Tutoring

P7. Knowledge tests

Assessment system and criteria

Without prejudice to any other requirements that may be set out in the relevant course syllabus, as a general rule, failure to attend more than 70 per cent of the course’s teaching activities—which require the student’s physical or virtual presence—will result in the loss of the right to continuous assessment during the standard examination period. In this case, the examination to be held during the official period established by the University will be the sole assessment criterion, with the weighting specified in the course syllabus.

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Minimum compulsory attendance: To be eligible for continuous assessment, students must achieve a minimum attendance rate of 70 per cent; if this percentage is not met, they will only be eligible for the mark stipulated for the final examination

REGULAR EXAM SESSION:

S1.- Practical activities (case studies, problem-solving and challenges, oral presentations, debates, etc.). Weighting: 50%.

S2. Final knowledge assessments. Percentage: 50 per cent.

SUPPLEMENTARY EXAMINATION PERIOD:

Students will sit a final examination for the module on a date to be determined by the University. The final mark will be the mark obtained in the examination.

Objectives

By the end of the module, students will have a thorough understanding of all aspects of business accounting; they will be able to examine, measure and analyse a company’s assets and financial position, thereby facilitating decision-making and ensuring the proper management and recording of all a company’s accounting information.

Prerequisites

None specified.

Competencies

Degree programme adapted to Royal Decree 822/2021 of 28 September, which establishes the organisation of university education and the procedure for ensuring its quality.

Learning outcomes

RK19: Understand the functioning of the accounting system and accounting regulations in Spain

RK20: To identify accounting principles, valuation criteria and the components of annual accounts, as well as the double-entry bookkeeping method

RS8: Use accounting as a system for providing information on a company’s assets and financial performance

RS9: Apply accounting principles when recording accounting transactions, in accordance with the regulatory framework and taking into account the impact on a company’s assets

RC1: Master strategies for organisation, planning and effective time management in order to present a clear and well-founded report

RC2: Produce projects and reports, both orally and in writing, in a business context

Course content

Accounting as an information system for a company’s assets and financial performance. Accounting regulations in Spain. Double-entry bookkeeping methodology. Recording accounting transactions: tools and procedures. Application of accounting principles and valuation criteria. Annual Accounts. Use of computerised accounting management tools for analysis and decision-making.

Training activities

LA 1. Lectures: Theoretical and practical classes, in which concepts related to the subject matter are presented. This activity is 100% face-to-face

TA 2. Problem-solving or case studies and other cooperative learning activities. This activity is 100% face-to-face

TA 3. Independent student work. This activity is not face-to-face

AF.4 Assessment activities. This activity is 100% face-to-face

Assessment system and criteria

Without prejudice to any other requirements that may be specified in the relevant course syllabus, as a general rule, failure to attend more than 70 per cent of the course’s teaching activities—which require the student’s physical or virtual presence—will result in the loss of the right to continuous assessment during the standard examination period.

In this case, the examination to be held during the official period set by the University will be the sole assessment criterion, with the corresponding weighting as specified in the course syllabus.

Assessment system:

EV.1 Completion of set practicals and exercises 30%

EV.2 Submission of individual and/or group assignments 25%

EV.3 Course examinations and problem-solving 45%

Timetable

Click on this link to view the detailed timetable in Excel

Bibliography

Core:

1. Besteiro, M.A.

Advanced Financial Accounting

Pirámide. 2016.

ISBN: 9788436835502

2. Campo, P.

Financial Accounting: Recording and Valuation Standards

Sanz y Torres. 2023.

ISBN: 9788419433657

3. Mallo, C. and Pulido, A.

Financial Accounting: A Contemporary Approach

Paraninfo Cengage Learning. 2008.

ISBN: 9788428330244

Supplementary:

4.- Muñoz, R., Lazcano, L. and Márquez, J.

Financial Accounting

McGraw-Hill. 2021.

ISBN: 9788448631185

5. Omeñaca, J.

General Accounting

Deusto. 2017.

ISBN: 9788423427574

6. Rivero, J.

Financial Accounting

Edisofer. 2021.

ISBN: 9788418493157

Objectives

By the end of the course, the student will:

Have a broad understanding of various aspects related to the reality of business. Specifically: economic and social objectives, organisational structure, the role of management, and the function of the entrepreneur.

Be familiar with the main decisions a company must make in relation to:

Human resource management

Financial management

Commercial management

Operations management

Competencies

Degree programme adapted to Royal Decree 822/2021 of 28 September, which establishes the organisation of university education and the procedure for ensuring its quality / Degree programme in accordance with Royal Decree 822/2021 of 28 September, which establishes the organisation of university education and the procedures for ensuring its quality.

Learning outcomes

RK11: Understand the nature of the company and economic systems / Know the nature of the company and economic systems.

RK12: To understand the main functional areas of a company: organisation and people development, production, finance, accounting, taxation and marketing / Know the main functional areas of the company: organisation and people development, production, finance, accounting, taxation and marketing.

RS3: Analyse the separation between ownership and control in modern companies.

RC1: Master organisational, planning and effective time management strategies to present a clear and well-substantiated report / Master organisational, planning and effective time management strategies to present a clear and well-substantiated report.

RC3: Solve problems and make decisions with initiative in the current business context.

RODS: Develop effective communication, teamwork, analytical thinking, creativity and ethical leadership from a cross-disciplinary perspective, drawing clearly on democratic principles and values as well as the Sustainable Development Goals, in order to operate with integrity in a professional environment / Develops effective communication, teamwork, analytical thinking, creativity and ethical leadership from a cross-disciplinary perspective and with clear inspiration drawn from democratic principles and values, as well as the Sustainable Development Goals, in order to operate with integrity in a professional environment.

Course description

The nature and concept of the enterprise. The enterprise and economic systems. The entrepreneur in economic thought. The separation of ownership and control in modern enterprises. The entrepreneur in the 21st century. Corporate culture. Business strategy. Fundamental rights and equal opportunities, a culture of peace and democratic values. Introduction to the functional areas of a business: organisation and human resources development, production, finance, accounting and taxation, and marketing.

Nature and concept of business. Business and economic systems. The entrepreneur in economic thought. The separation between ownership and control of modern enterprises. The entrepreneur facing the 21st century. Business culture. Company strategy. Fundamental rights and equal opportunities, a culture of peace and democratic values. Introduction to the company’s functional areas: organisation and development of people; production; financing, accounting and taxation; and marketing

Teaching activities

AF 1. Lectures: Theoretical and practical teaching sessions in which concepts related to the subjects are presented. This activity is 100% face-to-face / AF 1. Lectures: Theoretical and practical teaching sessions in which concepts related to the subjects are presented. This activity is 100 per cent face-to-face.

AF 2. Problem-solving, case studies and other cooperative learning activities: This activity is 100% in-person.

AF.3. Independent student work. This activity is not in-person / AF 3. Independent student work: This activity is not in-person.

AF.4. Assessment activities. This activity is 100% in-person / AF 4. Assessment activities: This activity is 100% in-person.

Assessment system and criteria

Without prejudice to any other requirements that may be specified in the relevant course syllabus, as a general rule, failure to attend more than 70 per cent of the course’s teaching activities—which require the student’s physical or virtual presence—will result in the loss of the right to continuous assessment during the standard examination period. In this case, the examination to be held during the official period set by the University shall be the sole assessment criterion, with the corresponding weighting as specified in the course syllabus / Without prejudice to any additional requirements that may be set out in the relevant course syllabus, as a general rule, failure to attend more than 70 per cent of the course’s learning activities that require the student’s physical or virtual presence will result in the loss of the right to continuous assessment during the regular examination session. In this case, the exam held during the official period established by the University will be the sole assessment criterion, with the weighting assigned in the course syllabus.

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Assessment System / Assessment System

EV.1 Completion of practical activities and assigned exercises 30% / EV.1 Completion of practical activities and assigned exercises 30%

EV.2 Submission of individual and/or group assignments 30% / EV.2 Submission of individual and/or group assignments 30%

EV.3 Subject exams and problem-solving 40% / EV.3 Subject exams and problem-solving 40%

Timetable

Click on this link to view the detailed timetable in Excel

Reading list

Core:

1. Javier Fernández Aguado and José Aguilar

Fundamentals of Business Organisation: A Strategic Approach

CEF Publications. 2019.

ISBN: 978-84-454-39

2. Paul G. Keat, Philip K. Y. Young, Stephen E. Erfle

Managerial Economics: Economic Tools for Today’s Decision-Makers

Pearson Education. 2017.

ISBN: 978-1-292-215

Supplementary:

3.- Charles W. L. Hill and Gareth R. Jones

Strategic Management: Theory: An Integrated Approach

Cengage Learning. 2020.

ISBN: 978-0-357-129

4. Richard L. Daft

Management

Cengage Learning. 2021.

ISBN: 978-0-357-509

Objectives

By the end of the course, the student will:

Be familiar with various tools and techniques for data processing and analysis, primarily Excel.

The student will be able to:

Work with spreadsheets

Create different types of data visualisations tailored to the characteristics of each problem

Write reports that provide value to their audience

Deliver oral presentations explaining results based on the data analysis carried out / Deliver oral presentations explaining results based on the conducted data analysis

Prerequisites

None described / No descriptions provided.

Competencies

Degree programme adapted to Royal Decree 822/2021 of 28 September, which establishes the organisation of university education and the procedure for ensuring its quality / Degree programme adapted to Royal Decree 822/2021 of 28 September, which establishes the organisation of university education and the procedure for ensuring its quality.

Learning outcomes

RK37: Have an in-depth understanding of the computer tools used to analyse a company’s economic data / Know in depth the computer tools for analysing the company’s economic data.

RS24: Use spreadsheets, as well as tables and dynamic graphs / Use spreadsheets, as well as tables and dynamic graphs.

RS25: Use data efficiently in management reporting / Use data efficiently in management reporting

RC1: Master organisational, planning and effective time management strategies to present a clear and well-founded report / Master organisational, planning and effective time management strategies to present a clear and well-founded report.

RC2: “Prepare projects and reports orally and in writing in a business context / Ability to prepare projects and reports orally and in writing in the business field”.

Course content

IT tools for analysing a company’s financial data. Spreadsheet processing. Dynamic tables and graphs. Reporting.

IT tools for analysing the company’s economic data. Spreadsheet processing. Dynamic tables and graphs. Reporting.

Teaching activities

AF 1. Lectures: Theoretical and practical teaching sessions in which concepts related to the subjects are presented. This activity is 100% face-to-face / AF 1. Lectures: Theoretical and practical teaching sessions in which concepts related to the subjects are presented. This activity is 100% face-to-face.

AF 2. Problem-solving, case studies and other cooperative learning activities: This activity is 100% face-to-face / AF 2. Problem-solving, case studies and other cooperative learning activities: This activity is 100% face-to-face.

AF.3 Independent student work. This activity is not in-person / AF 3. Independent student work: This activity is not in-person.

AF.4 Assessment activities. This activity is 100% in-person / AF 4. Assessment activities: This activity is 100% in-person.

Assessment system and criteria

Without prejudice to any other requirements that may be set out in the relevant course syllabus, as a general rule, failure to attend more than 70 per cent of the course’s teaching activities requiring the student’s physical presence will result in the loss of the right to continuous assessment during the standard examination period. In this case, the examination to be held during the official period set by the University will be the sole assessment criterion, with the corresponding weighting as set out in the course syllabus / Without prejudice to any additional requirements that may be set out in the relevant course syllabus, as a general rule, failure to attend more than 70 per cent of the course’s learning activities that require the student’s physical or virtual presence will result in the loss of the right to continuous assessment in the regular examination session. In this case, the exam held during the official period established by the University will be the sole assessment criterion, with the weighting specified in the course syllabus.

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Assessment system

EV.1 Completion of practical activities and assigned exercises 20% / EV.1 Completion of practical activities and assigned exercises 20%

EV.2 Submission of individual and/or group assignments (U-LABS) 30% / EV.2 Submission of individual and/or group assignments (U-LABS) 30%

EV.3 Subject exams, problem-solving, etc. 50% / EV.3 Subject exams and problem-solving, etc. 50%

Timetable

Click on this link to view the detailed timetable in Excel

Bibliography

Core:

1. Michael Alexander

Excel Bible

John Wiley & Sons Inc. 2018.

ISBN: 9781119514787

2. Wayne Winston

Microsoft Excel 2019 Data Analysis and Business Modelling (Business Skills)

Pearson. 2019.

ISBN: 1509305882

Objectives

1. To introduce students to the fundamental concepts and theories of macroeconomics. / 1. To introduce students to the foundational concepts and theories of macroeconomics

2. To develop students’ ability to analyse and interpret macroeconomic data and indicators / 2. To develop students’ ability to analyse and interpret macroeconomic data and indicators

3. To examine the role of macroeconomic policies in promoting economic stability and growth / 3. To examine the role of macroeconomic policies in promoting economic stability and growth /

4. Explore the connections between macroeconomics and other fields such as finance, international trade and sustainable development / 4. Explore the connections between macroeconomics and other fields such as finance, international trade and sustainable development

5. Foster critical thinking and problem-solving skills through the application of macroeconomic principles to real-world scenarios / 5. Foster critical thinking and problem-solving skills through the application of macroeconomic principles to real-world scenarios

6. To broaden students’ awareness of the global dimensions of macroeconomics and its implications for policy coordination and international relations / 6. To broaden students’ awareness of the global dimensions of macroeconomics and its implications for policy coordination and international relations

Prerequisites

None provided / No descriptions provided.

Learning outcomes

Degree programme adapted to Royal Decree 822/2021 of 28 September, which establishes the organisation of university education and the procedure for ensuring its quality / Degree programme adapted to Royal Decree 822/2021 of 28 September, which establishes the organisation of university education and the procedure for ensuring its quality.

Learning outcomes

RK1: To be familiar with the principles of economic theory and to analyse the behaviour of economic agents. / To be familiar with the principles of economic theory and to analyse the behaviour of economic agents.

RK2: To understand the objectives and basic instruments of macroeconomics in global economic policy / To understand the objectives and basic instruments of macroeconomics in global economic policy

RK3: To understand the main characteristics of economic activity, the labour market and prices, as well as monetary and fiscal policy, the external sector and socio-economic development /

Understand the main characteristics of economic activity, the labour market and prices, as well as monetary and fiscal policy, the external sector and socio-economic development

RS1: Analyse data from different sources and their influence on the establishment and improvement of indicators and macroeconomic models / Analyse data from different sources and their influence on the establishment and improvement of indicators and macroeconomic models

RC1: Master organisational, planning and effective time management strategies to present a clear and well-founded report / Master organisational, planning and effective time management strategies to present a clear and well-founded report

RODS: Develops effective communication, teamwork, analytical thinking, creativity and ethical leadership from a cross-cutting perspective, clearly drawing on democratic principles and values as well as the Sustainable Development Goals, in order to operate with integrity in a professional environment / Develops effective communication, teamwork, analytical thinking, creativity and ethical leadership from a cross-disciplinary perspective and with clear inspiration drawn from democratic principles and values, as well as the Sustainable Development Goals, to operate with integrity in a professional environment

Course description

Introduction to Macroeconomics. Basic objectives and instruments of macroeconomics and their application in global economic policy. Main characteristics of economic activity. The labour market and prices. Monetary and fiscal policy. The external sector and socio-economic development. The course will examine how data analysis can influence the establishment and improvement of macroeconomic indicators and models.

Introduction to Macroeconomics. Core macroeconomic objectives and instruments and their implementation in global economic policies. Main characteristics of economic activity. Labour and price markets. Monetary and fiscal policy. The external sector and socio-economic development. Consideration will be given to how data analysis can influence the establishment and improvement of macroeconomic indicators and models.

Teaching activities

AF 1. Lectures: Theoretical and practical teaching sessions in which concepts related to the subjects are presented. This activity is 100% face-to-face / AF 1. Lectures: Theoretical and practical teaching sessions in which concepts related to the subjects are presented. This activity is 100 per cent face-to-face.

AF 2. Problem-solving, case studies and other cooperative learning activities. This activity is 100% face-to-face / AF 2. Problem-solving, case studies and other cooperative learning activities: This activity is 100% face-to-face.

AF.3 Independent student work. This activity is not in-person / AF 3. Independent student work: This activity is not in-person.

AF.4 Assessment activities. This activity is 100% in-person / AF 4. Assessment activities: This activity is 100% in-person.

Assessment system and criteria

Without prejudice to any other requirements that may be specified in the relevant course syllabus, as a general rule, failure to attend more than 70 per cent of the course’s teaching activities—which require the student’s physical or virtual presence—will result in the loss of the right to continuous assessment during the ordinary examination period. In this case, the examination to be held during the official period set by the University will be the sole assessment criterion, with the corresponding weighting as set out in the course syllabus / Without prejudice to any additional requirements that may be set out in the relevant course syllabus, as a general rule, failure to attend more than 70 per cent of the course’s learning activities that require the student’s physical or virtual presence will result in the loss of the right to continuous assessment in the regular examination session. In this case, the exam held during the official period set by the University will be the sole assessment criterion, with the weighting specified in the course syllabus.

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Assessment System:

EV.1 Completion of practical activities and assigned exercises 20% / EV.1 Completion of practical activities and assigned exercises 20%

EV.2 Submission of individual and/or group assignments 30% / EV.2 Submission of individual and/or group assignments 30%

EV.3 Subject exams and problem-solving 50% / EV.3 Subject exams and problem-solving 50%

Methodology:

MD.1. Masterclass

MD.2. Case studies

MD.3. Problem-based learning

MD.4. Collaborative learning

Timetable

Click on this link to view the detailed timetable in Excel

Bibliography

Core:

1. Mankiw, Gregory

Brief Principles of Macroeconomics

Cengage Learning, Inc. 2021.

ISBN: 9780357133736

Supplementary:

2.- Tirole, Jean

Economics for the Common Good

Princeton University Press. 2017.

ISBN: 0691175160

Objectives

To understand the fundamentals of business intelligence and apply its tools and techniques, including data mining and artificial intelligence, for analysis and strategic decision-making within the organisation.

Prerequisites

None specified

Competencies

Qualification in accordance with Royal Decree 822/2021 of 28 September, which establishes the organisation of university education and the procedure for ensuring its quality.

Learning outcomes

Knowledge:

RK2. Understands the function, organisation and management of a business and its key variables.

RK8. Understands the various tools offered by the fields of computing and digital technology as a basis for implementing strategies within the organisation.

Course content

1. The concept and evolution of Business Intelligence.

2. Functions of Business Intelligence and its application within the company.

3. Application of Business Intelligence by sector

4. Data mining

5. Artificial intelligence and machine learning

6. Business intelligence tools and platforms

Training activities

P1. Lectures

P2. Interactive classes

P4. Assignment work and problem-solving

P5. Independent study, solving case studies or problems, and literature reviews.

P6. Tutoring

P7. Knowledge assessments

Assessment system and criteria

Without prejudice to any other requirements that may be set out in the relevant course syllabus, as a general rule, failure to attend more than 70 per cent of the course’s teaching activities—which require the student’s physical or virtual presence—will result in the loss of the right to continuous assessment during the standard examination period. In this case, the examination to be held during the official period established by the University shall be the sole assessment criterion, with the corresponding weighting as set out in the course syllabus.

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Minimum compulsory attendance: To be eligible for continuous assessment, students must achieve a minimum attendance rate of 70 per cent; if this percentage is not met, they will only be eligible for the mark stipulated for the final examination.

REGULAR EXAMINATION PERIOD:

S1.- Practical activities (case studies, problem-solving and challenges, oral presentations, debates, etc.). Weighting: 40 per cent.

S2. Final knowledge assessments. Percentage: 60 per cent.

SESSION OUTSIDE THE REGULAR EXAM PERIOD:

Students will sit a final examination for the module on a date to be determined by the University. The final mark will be the mark obtained in the examination.

Objectives

To understand the fundamentals of law, its structure and functioning, as well as the essential legal rules and concepts required for its correct interpretation and application.

Prerequisites

None specified

Learning Outcomes

Degree programme adapted to Royal Decree 822/2021 of 28 September, which establishes the organisation of university education and the procedure for ensuring its quality.

Learning outcomes

Knowledge:

RK9. Understands the specific fundamentals of the legal system, the regulatory framework and professional ethics in the business sector.

Course content

1. Law as a form of organisation and as an educational system.

2. The science of law.

3. Theory of Law: the legal norm and

4. Theory of Law: the legal system.

5. Interpretation and application of the law.

6. Legal concepts.

Teaching activities

P1. Lectures

P2. Interactive classes

P5. Independent study, case or problem-solving, and literature reviews.

P6. Tutoring

P7. Knowledge tests

Assessment system and criteria

Without prejudice to any other requirements that may be specified in the relevant course syllabus, as a general rule, failure to attend more than 70 per cent of the course’s teaching activities—which require the student’s physical or virtual presence—will result in the loss of the right to continuous assessment in the standard examination session. In this case, the examination to be held during the official period established by the University will be the sole assessment criterion, with the weighting specified in the course syllabus.

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Minimum compulsory attendance: To be eligible for continuous assessment, students must achieve a minimum attendance rate of 70 per cent; if this percentage is not met, they will only be eligible for the mark stipulated for the final examination.

REGULAR EXAMINATION PERIOD:

S1.- Practical activities (case studies, problem-solving and challenges, oral presentations, debates, etc.). Weighting: 40%

S2. Final knowledge assessments. Percentage: 60%

SUPPLEMENTARY EXAMINATION SESSION:

Students will sit a final examination for the module on a date set by the University. The final mark will be the mark obtained in the examination.

Timetable

Click on this link to view the detailed timetable in Excel

Objectives

To analyse prior mathematical knowledge and develop new concepts, methods and techniques of analysis, with the aim of bringing mathematical reasoning closer to economic analysis.

Prerequisites

None specified.

Competencies

Degree programme adapted to Royal Decree 822/2021 of 28 September, which establishes the organisation of university education and the procedure for ensuring its quality.

Learning outcomes

Knowledge:

RK6. Identifies the various mathematical functions and concepts relating to the solution of systems of equations, optimisation problems

and matrix analysis.

Course content

1. Basic linear algebra. Matrices and determinants.

2. Solving systems of linear equations.

3. Real functions of one and several variables: continuity and differentiability.

4. Calculus and applications of indefinite, definite and improper integrals.

5. Unconstrained and constrained optimisation.

6. Numerical sequences and series.

Teaching activities

P1. Lectures

P2. Interactive classes

P4. Completing assignments and solving challenges or problems

P5. Independent study, solving case studies or problems, and conducting literature searches.

P6. Tutoring

P7. Knowledge assessments

Assessment system and criteria

Without prejudice to any other requirements that may be specified in the relevant course syllabus, as a general rule, failure to attend more than 70 per cent of the course’s teaching activities—which require the student’s physical or virtual presence—will result in the loss of the right to continuous assessment during the standard examination period. In this case, the examination to be held during the official examination period established by the University shall be the sole assessment criterion, with the weighting specified in the course syllabus.

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Minimum compulsory attendance: To be eligible for continuous assessment, students must achieve a minimum attendance rate of 70%; if this percentage is not met, they will only be eligible for the mark stipulated for the final examination.

REGULAR EXAMINATION PERIOD:

S1.- Practical activities (case studies, problem-solving and challenges, oral presentations, debates, etc.). Weighting: 40%.

S2. Final knowledge assessments. Percentage: 60 per cent.

SITTING FOR FAILED STUDENTS:

Students will sit a final examination for the module on a date set by the University. The final mark will be that obtained in the examination.

Objectives

By the end of the course, students should be able to analyse the various economic scenarios they may encounter when solving a problem.

To this end, they will need to acquire knowledge of consumer, production and market theory, so that, based on this information, they can analyse various alternatives and choose the best course of action for resolving a business problem.

Competencies

Qualification in accordance with Royal Decree 822/2021 of 28 September, which establishes the organisation of university education and the procedure for ensuring its quality

Learning outcomes

RK4: Understand consumer theory and its validity in economic analysis

RK5: Understand production and cost theory and its implications

RK6: Recognise the types of competitive and non-competitive markets

RK7: Understand the fundamentals of game theory

RC3: Solve problems and make decisions proactively within the current business context

RODS: To develop effective communication, teamwork, analytical thinking, creativity and ethical leadership from a cross-disciplinary perspective, drawing clearly on democratic principles and values as well as the Sustainable Development Goals, in order to conduct oneself with integrity in a professional environment

Course content description

Consumer theory: preferences, budget constraints, equilibrium, demand functions, choice under uncertainty and the effects of taxation.

Production and cost theory: short- and long-run production, short- and long-run costs, supply functions, and the effects of taxation.

Competitive and non-competitive markets (monopoly and oligopoly).

Introduction to game theory.

Teaching activities

Learning activity No. of hours % face-to-face

TA.1 Lecture 30 100%

TA.2 Case studies 30 100%

Learning Activity 3: Problem-based learning 84 0%

TA.4 Cooperative learning 6 100%

Assessment system and criteria

Without prejudice to any other requirements that may be specified in the relevant course syllabus, as a general rule, failure to attend more than 70 per cent of the course’s teaching activities—which require the student’s physical or virtual presence—will result in the loss of the right to continuous assessment in the standard examination period. In this case, the examination to be held during the official period set by the University shall be the sole assessment criterion, with the weighting specified in the course syllabus.

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Assessment system

EV.1 Completion of set practicals and exercises 30%

EV.2 Submission of individual and/or group assignments 30%

EV.3 Course examinations and problem-solving 40%

Timetable

Click on this link to view the detailed timetable in Excel

Reading list

Core:

1. Krugman, P. & Wells, R.

Microeconomics

Reverté. 2013.

ISBN: 9781319108595

2. Pindyck, R., Rubinfeld, D.

Microeconomics, 9th edition

9th ed. Pearson. 2019.

ISBN: 9788490355749

3. Salas Velasco, M

Microeconomics with Microsoft Excel

Avicam Technical Publishing. 2017.

ISBN: 8416535868

Supplementary:

4.- Andrés González-Moralejo, A, Estruch Sanchis, De Borja, F.

Case Studies in Microeconomics: Production and Consumption Activities and Their Coordination through the Market

UPV. 2013.

ISBN: 978-84-9048-1

5.- Castillo Manzano, J.I. & Roman Collado, R.

Microeconomics through Case Studies

Pirámide. 2013.

ISBN: 9788436828924

6. Manuel Salas Velasco, M.

Mathematics for the Study of Microeconomics

Comares. 2017.

ISBN: 9788490454909

Objectives

The main objective of the module is to lay the statistical foundations that students will need to undertake the other modules relating to data analytics and the development of complex models.

To this end, students must master topics relating to:

Methods for organising and describing data.

Probability theory.

Random variables.

Main one-dimensional and two-dimensional distributions.

Competencies

Degree programme in accordance with Royal Decree 822/2021 of 28 September, which establishes the organisation of university education and the procedure for ensuring its quality.

Learning Outcomes

RC3 – Solve problems and make decisions proactively within the current business context

RC5 - Analyse information relating to the business environment and numerical data through the application of statistical or mathematical tools in order to develop optimised solutions

RC6 – Analyse information from the business environment and numerical data through the application of statistical or mathematical tools in order to provide optimised solutions

RK52 – Understand the function and structure of probability theory, as well as its applications in decision-making

RK53 – Recognise random variables and the main one-dimensional and two-dimensional distributions

RK54 – Understand the theory of statistical inference: point estimation, interval estimation and hypothesis testing

RS38 – Apply the methodology for organising and describing data, covering both one-dimensional and

two-dimensional variables, to problem-solving

RS39 – Use software for statistical data analysis

Course description

Firstly, students are introduced to the methodology for organising and describing data, covering both unidimensional and bidimensional variables. This is followed by an introduction to the Theory of Probability. Next, random variables are examined and the main unidimensional and bidimensional distributions are analysed. Finally, the theory of statistical inference is covered: point estimation, interval estimation and hypothesis testing.

Course activities

AF.1 Lectures 30 100%

AF.2 Problem-solving and case studies 30 100%

AF.3 Independent study 84 0%

AF.4 Assessment activities 6 100%

Assessment system and criteria

Without prejudice to any other requirements that may be set out in the relevant course syllabus, as a general rule, failure to attend more than 70 per cent of the course’s teaching activities requiring the student’s physical or virtual presence will result in the loss of the right to continuous assessment in the regular examination session. In this case, the examination to be held during the official period set by the University shall be the sole assessment criterion, with the weighting corresponding to it as set out in the course syllabus.

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EV.1 Completion of practical work and set exercises 30%

EV.2 Submission of individual and/or group assignments 20%

EV.3 Course examinations, problem-solving 50%

The assessment criteria mentioned above are detailed on the course portal

Timetable

Click on this link to view the detailed timetable in Excel

Bibliography

Core:

1. D. Wackerly, W. Mendenhall III, R. Scheaffer

Mathematical Statistics with Applications

Thomson. 2010.

ISBN: 9708300101

2. Paul Newbold, William L. Carlson, Betty M. Thorne

Statistics for Business and Economics

Pearson, 8th edition. 2013.

ISBN: 978-84-8322-4

Objectives

By the end of the course, students should be able to work with different databases. Given that one of the main objectives of the degree programme is information analysis, it is essential that students are familiar with different types of databases, both SQL and NoSQL, so that they are aware of the advantages and disadvantages of each model and are able to determine when to use one type or the other, or a combination of both, depending on the problem at hand.

To this end, the following topics will be covered:

- Introduction to databases.

- Types of databases.

- Tools for database management and administration

Prerequisites

None specified

Learning outcomes

Qualification in accordance with Royal Decree 822/2021 of 28 September, which establishes the organisation of university education and the procedure for ensuring its quality.

Learning outcomes

RK55: Describe the various types of databases and their management processes

RS40: Use database management tools in processes to collect and organise information

RS41: Use tools for managing large volumes of information in an organised and accessible manner for data management purposes

RC3: Solve problems and make decisions proactively within the current business context

RC5: Analyse big data from various sources with the aim of providing solutions for digital business

RC6: Analyse information relating to the business environment and numerical data through the application of statistical or mathematical tools, with the aim of improving and providing optimised solutions

Course content

Introduction to databases.

Types of databases.

Tools for database management and administration.

Learning activities

LA.1 Lectures

AF.2 Problem-solving and case studies

AF.3 Independent student work

AF.4 Assessment activities

Assessment system and criteria

Without prejudice to any other requirements that may be specified in the relevant course syllabus, as a general rule, failure to attend more than 70 per cent of the course’s teaching activities—which require the student’s physical or virtual presence—will result in the loss of the right to continuous assessment during the standard assessment period. In this case, the examination to be held during the official period set by the University shall be the sole assessment criterion, with the weighting specified in the course syllabus.

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EV.1 Completion of set practicals and exercises 30%

EV.2 Submission of individual and/or group assignments 30%

EV.3 Course examinations, problem-solving 40%

Timetable

Click on this link to view the detailed timetable in Excel

Reading list

Core:

1. Abraham Silberschatz, Henry Korth, S. Sudarshan 

Database Fundamentals

McGraw-Hill. 2014.

ISBN: 9786071503545

2. ANTONIO POSTIGO PALACIOS

Database Management

Paraninfo. 2022.

ISBN: 8413665302

3. Rafael Núñez

Database Management

RA-MA EDITORIAL. 2023.

ISBN: 8419857475

Supplementary:

4.- Kristina Chodorow 

MongoDB: The Definitive Guide

O’Reilly Media. 2020.

ISBN: 9781491954461

5. Rick F. van der Lans

SQL for MySQL Developers 

Addison-Wesley. 2007.

ISBN: 9780137081899

Objectives

The main objective of this module is to enable students to master various techniques of oral and written expression, which are necessary to produce briefings, reports and presentations that offer significant added value to their audience, so that students are able to make a positive impact when drafting and/or presenting reports or studies relating to their areas of responsibility.

To this end, students will study various techniques, develop their oral and written communication skills, and undertake a range of assignments that require them to put what they have learnt into practice.

Prerequisites

None specified

Learning Outcomes

Qualification in accordance with Royal Decree 822/2021 of 28 September, which establishes the organisation of university education and the procedure for ensuring its quality.

Learning outcomes

RK62: Identify different techniques of oral and written expression, aiming for assertiveness and effectiveness whilst adding value to the message

RS50: Use communication techniques in business presentations and when presenting reports

RC1: Master strategies for organisation, planning and effective time management in order to present a clear and well-founded report

RC2: Produce projects and reports, both orally and in writing, in a business context

RODS: Develop effective communication, teamwork, analytical thinking, creativity and ethical leadership from a cross-disciplinary perspective, drawing clearly on democratic principles and values as well as the Sustainable Development Goals, in order to conduct oneself with integrity in a professional environment

Course content

Introduction to Communication in Business.

Written communication: the most commonly used types of written communication in business, and electronic communication.

How to generate ideas, organise them and draft them

to ensure better understanding.

Oral communication: the most common types of oral communication in business; new forms of oral communication adapted to new technologies

Effective communication.

Documentation.

Reports.

Presentations.

Training activities

AF 1. Lectures: Theoretical and practical classes in which concepts related to the subject areas are presented. This activity is 100% face-to-face.

TA 2. Problem-solving or case studies and other cooperative learning activities. This activity is 100% face-to-face.

TA 3. Students’ independent work. This activity is not face-to-face.

TA 4. Assessment activities. This activity is 100% face-to-face.

Assessment system and criteria

Without prejudice to any other requirements that may be specified in the relevant course syllabus, as a general rule, failure to attend more than 70 per cent of the course’s teaching activities—which require the student’s physical or virtual presence—will result in the loss of the right to continuous assessment during the standard examination period. In this case, the examination to be held during the official period set by the University will be the sole assessment criterion, with the weighting specified in the course syllabus.

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ASSESSMENT CRITERIA:

The assessment process will consist of verifying and evaluating the student’s acquisition of the learning outcomes. To this end, the following assessment activities will be used to determine the extent to which each of the listed learning outcomes has been mastered:

 Coursera (10%): Q2 (EV1)

o Continuous assessment test (10 per cent): Test (EV1)

o Continuous assessment (30%): podcast (EV2)

To be eligible for continuous assessment, attendance must be 70 per cent or higher.

o Regular examination (50%).

 Written exam. Minimum mark: 5 (EV3)

o Supplementary sitting (100%). Students who are required to sit the supplementary sitting must take both parts: oral and written.

 Oral (40%). Minimum mark: 5

 Written (60%). Minimum mark: 5

Timetable

Click on this link to view the detailed timetable in Excel

Reading list

Core:

1. David V. Feliciano

Correct Rules and Usage of Contemporary Spanish

Tirant Humanidades. 2011.

ISBN: 9788493931605

2. Felipe Portocarrero

Profitable Writing

SM. 2001.

ISBN: 9788434876026

3. Fernando Martínez

Written Communication

Centre for Financial Studies. 2012.

ISBN: 9788445421468

4. Flora Davis

Non-verbal Communication

Alianza Editorial. 2010.

ISBN: 9788420664248

5. Jesús Mesanza

How to Write Well: Spelling and Related Topics

Editorial Esceual Española. 1995.

ISBN: 9788433106582

6. Jesús Sánchez Lobato

How to Write

Madrid: Aguilar, 2006. 2006.

ISBN: 8403097239

7. Josefa Gómez de Enterría

Business Correspondence in Spanish

SGEL. 2002.

ISBN: 9788471434265

8. RICARDO MARIA JIMENEZ YAÑEZ

COMMUNICATION AT UNIVERSITY AND IN PROFESSIONAL LIFE

EUNSA. UNIVERSITY OF NAVARRE PUBLISHING. 2021.

ISBN: 9788431336479

9. Various Authors

THE 21ST-CENTURY PROFESSIONAL: COMMUNICATION AND LEARNING TOOLS FOR CAREER SUCCESS

MCGRAW-HILL. 2022.

ISBN: 9788419187192

10. Various authors

How to Speak

Aguilar. 2008.

ISBN: 9788403098060

Supplementary:

11. Beatriz Lucía

Communication Skills. Training Programme

Autonomous University of Madrid. 2008.

ISBN: 9788483441190

12. Gómez de Enterría and Sánchez, Josefa

Oral Communication in the Workplace

Madrid: Arco Libros, [2008]. 2008.

ISBN: 9788476357095

13. Jesús Mesanza

Speaking and Writing Correctly: Blunders, Incorrect Usage and Doubts in Spoken and Written Spanish

WOLTERS KLUWER EDUCACION. 2009.

ISBN: 9788471979100

14. Miles Paterson

More than just words: the power of verbal communication

UOC. 2011.

ISBN: 9788497889179

15. Various authors

Non-verbal Communication and Leadership

Netbiblo. 2010.

ISBN: 9788497454971

Others:

16. Gaspar González

Telephone Conversation Techniques

Edelsa. 2008.

ISBN: 9788477115595

17. Manuel Campo Vidal

Why Don’t Professionals Communicate Better?

Plaza. 2008.

ISBN: 9788401379857

18. Manuel Campo Vidal

Why don’t professionals communicate better?

RBA Libros. 2011.

ISBN: 9788490061244

19. Manuel Cifo

Oral Communication and Writing in Spanish

Diego Marin. 2012.

ISBN: 9788415429326

20. Marcus Tullius Cicero

The Perfect Orator

Autonomous University of Mexico. 1991.

ISBN: 9789683669841

21. Margarita Recasens

Oral Comprehension and Expression

CEAC. 2003.

ISBN: 9788432986598

Objectives

To introduce the basic concepts of mathematics and financial valuation, to understand financial laws, to analyse short-term transactions, to value annuities and to evaluate long-term financing operations.

Prerequisites

No prerequisites have been set.

Competencies

Qualification in accordance with Royal Decree 822/2021 of 28 September, which establishes the organisation of university education and the procedure for ensuring its quality.

Learning outcomes

Knowledge:

RK6. Identifies the various mathematical functions and concepts related to solving systems of equations, optimisation problems

and matrix analysis.

Skills:

RS7. Applies knowledge of financial markets and products to the company’s investment and/or financing plan.

Course content

1. Introduction to financial valuation.

2. Financial laws

3. Short-term transactions.

4. Income valuation.

5. Long-term financing transactions.

Training activities

P1. Lectures

P2. Interactive classes

P4. Completing assignments and solving challenges or problems

P5. Independent study, case studies or problem-solving, and literature reviews.

P6. Tutoring

P7. Knowledge assessments

Assessment system and criteria

REGULAR EXAM SESSION:

S1. Practical activities (case studies, problem-solving and challenges, oral presentations, debates, etc.). Weighting: 50 per cent.

S2. Final knowledge assessments. Percentage: 50 per cent.

SUPPLEMENTARY EXAMINATION PERIOD:

The student will sit a final examination for the module on a date set by the University. The final mark will be the mark obtained in the examination.

Bibliography

Supplementary:

1. Elices López, M., Fernández Ruiz, A. J., Ricote Gil, F. & Blanco Hernández, M. T.

The Logic of Finance

Complutense University of Madrid. 2025.

ISBN: 978-84-09-621

2.- Lozano Gutiérrez, M. C. & Ramón Llorens, M. C.

Financial Mathematics: Fundamental Concepts

UPCT Publications. 2017.

ISBN: 978-84-16325-

Objectives

To train outstanding professionals in decision-making geared towards the common good, enabling them to adopt a approach that integrates all dimensions of the individual and does not limit the explanation of reality to a single source of knowledge.

The specific aims of the module are:

To be able to distinguish between different types of variables and data.

To be able to summarise statistical information correctly in tabular or graphical form, in both one-dimensional and multidimensional contexts.

To be able to summarise and interpret, using numerical measures, the statistical information contained in data, in both one-dimensional and multidimensional cases

To be able to select and apply statistical inference techniques and tools that enable the characteristics of a population to be determined from the information provided by a sample

Develop rigour and critical thinking in the search for, processing, analysis and interpretation of statistical information.

Be able to handle and understand the various statistical methods and approaches, recognising their applicability to real-world problems

To develop a comprehensive and integrated perspective as decision-makers, with the common good as the guiding framework

Prerequisites

None. Prior knowledge of Business Statistics I is recommended.

Competencies

Degree programme in accordance with Royal Decree 822/2021 of 28 September, which establishes the organisation of university education and the procedure for ensuring its quality.

Learning outcomes

RC3 – Solve problems and make decisions proactively within the current business context

RC5 – Analyse information on the business environment and numerical data through the application of statistical or mathematical tools in order to provide optimised solutions

RC6 – Analyse information from the business environment and numerical data through the application of statistical or mathematical tools in order to provide optimised solutions

RK52 – Understand the function and structure of probability theory, as well as its applications to decision-making

RK53 – Recognise random variables and the main one-dimensional and two-dimensional distributions

RK54 – Understand the theory of statistical inference: point estimation, interval estimation and hypothesis testing

RS38 – Apply the methodology for organising and describing data, for both unidimensional and

two-dimensional variables in problem-solving

RS39 – Use computer software for statistical data analysis

Course content

Topic 1: Sampling Theory

1.1 Random sample

1.2 Sample statistic. Mean and variance of some sample statistics

1.3 Central limit theorem. Sampling distribution of statistics.

1.4 Distributions of the sample mean and sample proportion

1.5 Exercises

Topic 2: Statistical inference. Estimation

2.1 Introduction. Estimation

2.2 Point estimation and estimation using confidence intervals (mean, proportion and difference in means)

2.3 Sampling from finite populations

2.4 Determining sample size

2.5 Exercises

Topic 3: Statistical inference: Hypothesis testing

3.1 Hypothesis testing: Consequences of the decision regarding a hypothesis. Types of errors.

3.2 P-value and significance level

3.3 Parametric hypothesis testing: mean, proportion and difference in means

3.4 Non-parametric Hypothesis Testing: Goodness of fit and contingency tables.

3.5 Exercises

Training activities

LA.1. Lectures.

TA.2. Problem-solving or case studies and other

.

AF.3. Independent student work.

AF.4. Assessment activities.

Assessment system and criteria

EV.1. Mid-term Assessment 1 – 30 per cent.

EV.2. Mid-term Assessment 2 – 30 per cent.

EV.3. Exams testing subject knowledge, problem-solving, reasoning, analysis of case studies, completion of projects or case studies, etc. 40%

The assessment criteria mentioned above are set out in detail on the course portal

Timetable

Click on this link to view the detailed timetable in Excel

Reading list

Core:

1. Newbold, P.; Carlson, W. and Thorne, B.

Statistics for Business and Economics

Pearson Higher Education. 2013.

ISBN: L519.2/07/NEW

2. Ruiz-Maya, L. and Martín-Pliego

Fundamentals of Statistical Inference

Thomson-Paraninfo. 2005.

ISBN: S519.2RUI/M51

Objectives

- Describe how digitalisation changes the rules of competition in financial services

- Formulate an approach for addressing the challenge of digital transformation in a real-world situation / Formulate an approach for addressing the challenge of digital transformation in a real-world situation

- Examine competitive relations in digital business ecosystems / Examine competitive relations in digital business ecosystems

- Assess the role of digital business ecosystems for a financial services provider / Assess the role of digital business ecosystems for a financial services provider

Prerequisites

None described / No descriptions provided.

Competencies

Degree programme adapted to Royal Decree 822/2021 of 28 September, which establishes the organisation of university education and the procedure for ensuring its quality / Degree programme adapted to Royal Decree 822/2021 of 28 September, which establishes the organisation of university education and the procedure for ensuring its quality.

Learning outcomes

RK42: Explain business financing models in the digital context

RK43: Identify crowdfunding, crowdequity and crowdlending / Identify crowdfunding, crowdequity and crowdlending

RK44: Recognise digital payment systems, blockchain technology and cryptocurrencies / Recognise digital payment systems, blockchain technology and cryptocurrencies

RK45: Understand how the fintech market works and its main players / Know how the fintech market works and its main agents

RS30: Apply EU regulations on digital payment services (PSD2) and the use of data in the digital financial ecosystem / Manage EU regulations on digital payment services (PSD2) and the use of data in the digital financial ecosystem

RS31: Apply, in the decision-making process, the dynamics of how the fintech market operates / Apply, in the decision-making process, the dynamics of the functioning of the fintech market

RC1: Master organisational, planning and effective time management strategies to present a clear and well-substantiated report / Master organisational, planning and effective time management strategies to present a clear and well-substantiated report

RC2: Ability to prepare projects and reports, both orally and in writing, in a business context

RC3: Solve problems and make decisions proactively within the current business context / Solve problems and make decisions with initiative in the current business context

Course content

Fundamentals of financial digitalisation. Crowdfunding, crowd equity and crowdlending. Digital payment systems. Blockchain technology. Cryptocurrencies. The fintech market and its main players. EU regulation on digital payment services (PSD2) and the use of data in the digital financial ecosystem.

Fundamentals of financial digitalisation. Crowdfunding, crowd equity and crowdlending. Digital payment systems. Blockchain technology. Cryptocurrencies. The fintech market and its main players. EU regulation on digital payment services (PSD2) and the use of data in the digital financial ecosystem.

Teaching activities

AF 1. Lectures: Theoretical and practical teaching sessions in which concepts related to the subjects are presented. This activity is 100% face-to-face / AF 1. Lectures: Theoretical and practical teaching sessions in which concepts related to the subjects are presented. This activity is 100 per cent face-to-face.

AF 2. Problem-solving, case studies and other cooperative learning activities: This activity is 100% in-person.

AF.3 Independent student work: This activity is not in-person / AF 3. Independent student work: This activity is not in-person.

AF.4 Assessment activities. This activity is 100% in-person / AF 4. Assessment activities: This activity is 100% in-person.

Assessment system and criteria

EV.1. Completion of practical assignments and proposed exercises. 30% / EV.1. Completion of practical assignments and proposed exercises. 30%

EV.2. Presentation of individual and/or group projects. 20 per cent / EV.2. Presentation of individual and/or group projects. 20 per cent

EV.3. Examinations assessing subject knowledge, problem-solving skills, reasoning, case analysis, project execution or practical case resolution, etc. 50% / EV.3. Examinations assessing subject knowledge, problem-solving skills, reasoning, case analysis, project execution, or practical case resolution, etc. 50%

Timetable

Click on this link to view the detailed timetable in Excel

Reading list

Core:

1. Chishti, S., & Barberis, J.

The FINTECH Book: The Financial Technology Handbook for Investors, Entrepreneurs, and Visionaries

West Sussex: John Wiley & Sons. 2016.

ISBN: 9781119218875

2. Schueffel, P.

The Financial Innovation Handbook: Tackling the Biggest Challenges Facing Banks and FinTechs

Palgrave Macmillan. 2021.

ISBN: 9781119218876

Supplementary:

3.- Gomber, P., Koch, J. A., & Siering, M.

Digital Finance and FinTech: Current Research and Future Research Directions.

Journal of Business Economics. 2017.

ISBN: 0044-2372

4.- Philippon, T.

The Great Reversal: How America Gave Up on Free Markets

Harvard University Press. 2019.

ISBN: 9780674237544