Tuition fee EU nationals (2026/2027)
Tuition fee non-EU nationals (2026/2027)
Programme Structure for 2026/2027
| Curricular Courses | Credits | |
|---|---|---|
| 1st Year | ||
|
Operations Management
6.0 ECTS
|
Parte Escolar > Mandatory Courses | 6.0 |
|
Supply Chain Management
6.0 ECTS
|
Parte Escolar > Mandatory Courses | 6.0 |
|
Business Process Management
6.0 ECTS
|
Parte Escolar > Mandatory Courses | 6.0 |
|
Research Seminar in Technology and Supply Chain Management
6.0 ECTS
|
Parte Escolar > Mandatory Courses | 6.0 |
|
Technology and Innovation Management
6.0 ECTS
|
Parte Escolar > Mandatory Courses | 6.0 |
|
Operations Management in Service
6.0 ECTS
|
Parte Escolar > Mandatory Courses | 6.0 |
|
Capital Investment Appraisal
6.0 ECTS
|
Parte Escolar > Mandatory Courses | 6.0 |
|
Digital Technologies for Supply Chain Management
6.0 ECTS
|
Parte Escolar > Mandatory Courses | 6.0 |
|
Data Literacy for Operations
6.0 ECTS
|
Parte Escolar > Mandatory Courses | 6.0 |
| 2nd Year | ||
|
Project in Technology and Supply Chain Management
30.0 ECTS
|
Final Work | 30.0 |
|
Dissertation in Technology and Supply Chain Management
30.0 ECTS
|
Final Work | 30.0 |
Operations Management
LO1: Control the materials resources needed by the processes
LO2: Plan the utilization of resources needed by the processes to satisfy customers' needs
LO3: Support the planning and control of operations using as a basis different tools and methods.
S1: Aggregate Planning
S2: Theory of Constraints
S3: Resource Planning: Master Production Schedule e Materials Requirement Planning
S4: Scheduling
S5: Queueing theory
OPTION 1: CONTINUOUS ASSESSMENT
1. Participation in class (Attendance >= 80%): 10%
2. Groupwork and discussion: 40%
3. Individual end-of term test: 50%
Average passing grade is 9.5 points, with at least 7.5 points (out of 20) in each component.
OPTION 2: FINAL EXAM Individual end-of-term exam: 100% A positive evaluation means a grade of 9.5 or above (out of 20).
[1] Krajewski, L.J., Malhotra, M.K. (2022) Operations Management: processes and supply chains, 13th Edition, Pearson
[2] Heizer, J., Render, B., Munson, C. (2023) Operations Management: Sustainability and Supply Chain Management, 14th Edition, Pearson
[1] Slack, N., Brandon-Jones, A. e R. Johnston (2019) Operations Management, 9th Edição, Pearson
[2] Carvalho, J.C. et al. (2010) Logística e Cadeia e Abastecimento, Edições Sílabo
[3] Jacobs. F.R. e R.B. Chase (2014) Operations and supply chain management, 14ª Edição, McGraw-Hill.
Supply Chain Management
Students should be able to:
LO1: Understand the fundamentals of both Logistics and Supply Chain Management (SCM) and understand the main challenges of actual supply chains.
LO2: Review situations, apply relevant logistics models and methods, and compare solutions concerning: a. independent demand inventory management systems b. selective and repetitive cycles and value creation c. procurement and outsourcing strategies d. transportation, warehousing and information systems applied in Supply Chains
LO3: Apply theory to lab situations.
S1: Logistics & Supply Chain Management
S2: Selective and Repetitive Cycles; Value
S3: Supply Chain Strategies
S4: Bullwhip Effect
S5: Speed Challenge
S6: Supply Chain Simulator
OPTION 1: CONTINUOUS ASSESSMENT
1. Attendance >= 80%
2. Groupwork and discussion: 50% (10% Speed Challenge; 10% Participation; 30% final case)
3. Individual end-of term test: 50%
Average passing grade is 9.5 points, with at least 7 points (out of 20) in each component.
OPTION 2: FINAL EXAM Individual end-of-term exam: 100% A positive evaluation means a grade of 9.5 or above (out of 20).
Christopher, M. (2023) Logistics & Supply Chain Management, 6th Edition, Financial Times Publishing International.
Business Process Management
This course prepares students to:
LO1: Reflect on and critique existing literature on Business Process Management
LO2: Identify needs of automation in business processes through process-related data
LO3: Apply principles of automation of business processes
LO4: Explore how technologies can be applied to foster the digital transformation of organizations and improve the performance of business processes
LO5: Apply the theory learned in class in real case situations
S1: Introduction to Business Process Management
S2: Process Automation with ERP
S3: Process Automation with RPA
S4: Process monitoring
S5: BPM as an Enterprise Capability: real case examples
OPTION 1: CONTINUOUS ASSESSMENT
1. Attendance >=80%
2. Individual reports: 20%
3. Group project: 40%
4. End-of-term individual test: 40% Average passing grade is 9.5 points, with at least 7.5 points (out of 20) in each component.
OPTION 2: FINAL EXAM End-of-term exam: 100%. A positive evaluation means a grade of 9.5 or above (out of 20).
Dumas, M., La Rosa, M., Mendling, J., Reijers, H.A. (2018) Fundamentals of Business Process Management, 2nd edition, Springer Brandon-Jones, A., Slack, N. (2021) Operations and Process Management: Principles and Practices for Strategic Impact, 6th Ed, Pearson Education Limited. Bornet, P., Barkin, I., Wirtz, J. (2021) INTELLIGENT AUTOMATION - Welcome to the World of HYPERAUTOMATION, World Scientific
Sagegg, O.J., Alfnes, E. (2023) ERP Systems for Manufacturing Supply Chains: Applications, Configuration, and Performance, CRC Press Lopes da Costa, R., O'Neill, H. (2023) Sistemas Inteligentes Aplicados à Gestão de Empresas, Almedina. Laudon, K.C. and Laudon, J.P. (2022) Management Information Systems, 17th Edition, Prentice Hall Kaelble, S. (2022) Process Mining for Dummies, Celonis Bradford, M. (2020), Modern ERP: Select, Implement, and Use Today's Advanced Business Systems, 4th edition Taulli, T. (2020) The Robotic Process Automation Handbook - A Guide to Implementing RPA Systems. APRESS Jeston, J. (2018) Business Process Management: Practical guidelines to successful implementation, 4th Ed, Routledge Van Der Aalst, W.M.P. (2016) Process Mining : Data Science in Action, 2nd Edition, Springer
Research Seminar in Technology and Supply Chain Management
LG1. Define a research problem and research problem and research objectives and select appropriate research methods
LG2. Formulate research hypothesis and select and relevant research variables aimed at hypothesis testing
LG3. Conduct literature searches in order to maximize relevance and reliability LG4. Write a research project using a scientific style
LG1. Define a research problem and research problem and research objectives and select appropriate research methods
LG2. Formulate research hypothesis and select and relevant research variables aimed at hypothesis testing
LG3. Conduct literature searches in order to maximize relevance and reliability
LG4. Write a research project using a scientific style
- Class Participation: 20%
- Project: 80% The minimum passing grade is 10.
Privitera, Gregory (2019) Research Methods for the Behavioral Sciences, SAGE, 3rd edition. Gravetter, Frederick J. & Forzano, Lori-Ann (2022) - Research Methods for the Behavioral Sciences, Cengage Learning, 6th Edition.
Technology and Innovation Management
This course prepares students to:
LO1: Understand and learn the basic principle of innovation economy.
LO2: Manage the life cycle of innovations.
LO3: Explore the dynamics between markets and technology.
LO4: Understand how firms innovate with special focus to Open innovation management.
LO5: Explore how new technology can create value in business.
LO6: Design and create innovative products, services or processes.
S1. Innovation economy
S1.1 What is innovation
S1.2 The relation between technology and market
S1.3 Technology classification
S1.4 Technology evolution and prediction
S2. The dynamics of technological markets
S2.1 Technology discontinuity
S2.2 Technology and market structures
S2.3 Technology and ecosystems
S2.4 Technology leadership
S3. Innovation management
S3.1 The Closed and Open Innovation Paradigms
S3.2 Types of Open Innovation Practices
S3.3 Crowdsourcing
S3.4 Cases of Open Innovation and Crowdsourcing
S4. New technologies and competitive strategies
S4.1 Basics of Business Models competitiveness
S4.2 New Product development business models
S4.3 Digital platforms business models
S4.4 Artificial intelligence business models
S4.5 IoT and big data business models
S4.6 BioTech business models
OPTION 1: CONTINUOUS ASSESSMENT
1. Attendance >= 80%
2. Groupwork - case studies resolution: 35%
3. Individual end-of term test: 65% Average passing grade is 9.5 points, with at least 8.5 points (out of 20) in each component.
OPTION 2: FINAL EXAM Individual end-of-term exam: 100% A positive evaluation means a grade of 9.5 or above (out of 20).
Rzepka, A. (2022) Innovation in the Digital Economy: New Approaches to Management for Industry 5.0. Routledge, 1ª Edição. Schilling, M. (2019) Strategic Management of Technological Innovation (Irwin Management) 6th Edition. McGraw-Hill Education. ISBN-10: 978125953906 Johnson, M.W., McGrath, R.G., Christensen, C.M., Blank, S. (2019) On Business model innovation. Harvard Business Review.
Arthur, W. B. (1989) Competing technologies, increasing returns, and lock-in by historical events. The economic journal, 99(394), 116-131. Merino, D. N. (1990) Development of a technological S-curve for tire cord textiles. Technological Forecasting and Social Change, 37(3), 275-291. Adner, R., Kapoor, R. (2016) Spotlight on ecosystem innovation. Harvard Business Review. Schilling, M. A., Esmundo, M. (2009) Technology S-curves in renewable energy alternatives: Analysis and implications for industry and government. Energy policy, 37(5), 1767-1781. Chesbrough, H. (2003) Open Innovation: The New Imperative for Creating and Profiting from Technology, Harvard Business School Press, Boston. Colombo, G., Dell'Era, C., Frattini, F. (2015) Exploring the contribution of innovation intermediaries to the new product development (NPD) process: a typology and an empirical study. R&D Management, 45(2), 126-146. Mazzola, E., Bruccoleri, M., Perrone, G. (2012) The effect of inbound, outbound and coupled innovation on performance, International Journal of Innovation Management, Vol. 16, No. 6, pp.1240008-35. Mazzola, E., Bruccoleri, M., Perrone, G. (2016). Open innovation and firms performance: state of the art and empirical evidences from the bio-pharmaceutical industry. International Journal of Technology Management, 70(2-3), 109-134. Lakami, K. R. (2009) Innocentive.com (A), HBS case Mazzola, E., Piazza, M., Acur, N., Perrone, G. (2020) Treating the crowd fairly: increasing the solvers’ self-selection in idea innovation contests. Industrial Marketing Management, 91, 16-29. Piazza, M., Mazzola, E., Acur, N., Perrone, G. (2019) Governance considerations for seeker–Solver relationships: A knowledge-based perspective in crowdsourcing for innovation contests. British Journal of Management, 30(4), 810-828. Mazzola E., N. Acur, M. Piazza, G. Perrone (2018) To Own or Not to Own? A Study on the Determinants and Consequences of Alternative Intellectual Property Rights Arrangements in Crowdsourcing for Innovation Contests. Journal of Product Innovation Management, Vol. 35(6): 908-929 Apte, U. M., Davis, M. M. (2019) Sharing economy services: business model generation. California Management Review, 61(2), 104- 131. Brynjolfsson, E., Hu, Y., Smith, M. D. (2003) Consumer surplus in the digital economy: Estimating the value of increased product variety at online booksellers. Management science, 49(11), 1580-1596. Christensen, C. M. (2013) The innovator's dilemma: when new technologies cause great firms to fail. Harvard Business Review Press. Hagel, J., Singer, M. (1999) Unbundling the corporation. Harvard business review, 77, 133-144. Hagiu, A., Altman, E. J. (2017) Finding the platform in your product. Harvard Business Review, 95(4), 94-100. Hagiu, A., Wright, J. (2015) Multi-sided platforms. International Journal of Industrial Organization, 43, 162-174. Howe, J. (2006) The Rise of Crowdsourcing. Wired, 14 http://www.wired.com/wired/archive/14.06/crowds.html Neely, A. (2008) Exploring the financial consequences of the servitization of manufacturing. Operations management research, 1, 103- 118. Piller, F. T. (2010) Open innovation with customers: crowdsourcing and co-creation at Threadless. Available at SSRN 1688018. Rochet, J. C., Tirole, J. (2003) Platform competition in two-sided markets. Journal of the european economic association, 1(4), 990-1029. Smith, D. J. (2013) Power-by-the-hour: the role of technology in reshaping business strategy at Rolls-Royce. Technology analysis & strategic management, 25(8), 987-1007.
Operations Management in Service
By the end of the unit, students should be able to:
LO1: Develop awareness of the characteristics of service and also skills of service thinking;
LO2: Learn about opportunities offered by technology to improve productivity and value creation in service organizations;
LO3: Understand service growth and expansion both domestically and internationally, and to appreciate the entrepreneurial opportunities in service;
LO4: Measure and control service and plan how it should be continuously improved.
S1: Introduction to what is Service and what we mean by service
S2: Back stage vs front stage, the theater metaphor
S3: Design, mapping and analysis
S4: Breaking the trade-off efficiency-service. The Service concept
S5: Service quality, capabilities and capacity management S6: Different logics in Service and smart services
S7: How to measure the scaling and grow of the service process (a continuous process)
OPTION 1: CONTINUOUS ASSESSMENT
1. Class participation, attendance (>=90%) and 4 individual assignments: 20%
2. Short cases and/or articles (2 per group): 25%
3. Final case project (Groupwork): 25%
4. Individual end-of term test: 30% Average passing grade is 9.5 points, with at least 9.5 points (out of 20) for each component.
OPTION 2: FINAL EXAM Individual end-of-term exam: 100% A positive evaluation means a grade of 9.5 or above (out of 20).
Bordoloi, S., Fitzsimmons, J.A., Mona J. Fitzsimmons (2023). Service Management: Operations, Strategy, Information Technology (10th edition), McGraw-Hill Higher Education, New York Maglio, P.P., Kieliszewski, C.A., Spohrer, J.C., Lyons, K., Patricio, L., and Y., Sawatani, (eds). (2019). Handbook of Service Science, Volume II, New York: Springer.
Capital Investment Appraisal
In the end of this course, the student should:
- Be able to describe the process of preparing a Business Plan from identifying the initial idea to obtaining investment results
- Understand the interrelationships between financing decisions and other aspects of new venture strategy;
- Identify the financing sources available to a new venture and their basic attributes, including venture capital;
- Be able to evaluate an innovative investment project from a business perspective.
1. Financial appraisal of innovative projects
1.1. Business Plan of innovative projects. Structure and main elements.
1.2. Financial evaluation of new venture projects. Evaluation criteria.
1.3. Analysis of uncertainty and risk of investment projects. Sensitivity analysis.
1.4. New venture financing. Financing circuit. Funding sources for innovative projects. Venture capital.
Option 1: Evaluation throughout the semester
1. Groupwork: 40%
2. Individual end-of term test: 60%
Average passing grade is 9.5 points, with at least 8 points (out of 20) for components 1 and 2.
Option 2: Final Exam
Individual end-of-term exam: 100%
A positive evaluation means a grade of 9.5 or above (out of 20).
Markides C. (2023). Business Model Innovation: Strategic and Organizational Issues for Established Firms. Cambridge University Press.
Markides C. (2021). Organizing For The New Normal: Prepare Your Company For The Journey Of Continuous Disruption. Kogan Page Ltd.
Mota, A., Barroso, C., Nunes, J., Oliveira, L., Ferreira, M. e Inácio, P. - Finanças da Empresa, 6ª Edição, 2020, Ed.Sílabo.
Smith, R. L., Smith, J. K., Bliss, R. T. - Entrepreneurial Finance: Venture Capital, Deal Structure & Valuation, Second Edition 2nd Edition,2020.
Brealey, R., Myers, S. & Allen, F. (2019). Princípios de Finanças Empresariais, McGraw-Hill Portugal,13ª Edição
Digital Technologies for Supply Chain Management
This course prepares students to:
LO1: Understand the key challenges of global supply chains and the role of technology for tackling it
LO2: Explore how to solve common problems and reinvent supply chains through the use of different types of technologies
LO3: Assess individual or joint contribution of different technological solutions to high performing digital supply chains
LO4: Apply the theory learned in class in real case situations
S1: Traditional Vs Digital Supply Chains
S2: Benefits and Risks of Digital Supply Chains
S3: Frameworks guiding the digital transformation of supply chains
S4: Successful examples of digital transformation in supply chains
S5: Real case challenge: proposal and discussion of digitalization within real supply chains
OPTION 1: CONTINUOUS ASSESSMENT
1. Attendance >= 80%: 10%
2. Group project: 40%
3. Individual end-of term test: 50% Average passing grade is 9.5 points, with at least 7.5 points (out of 20) in each component.
OPTION 2: FINAL EXAM Individual end-of-term exam: 100% A positive evaluation means a grade of 9.5 or above (out of 20).
Pellicelli M. (2023) The Digital Transformation of Supply Chain Management. Elsevier, 1st Edition MacCarthy, B.L., Ivanov D. (2022) The Digital Supply Chain. Elsevier, 1st Edition
Lassnig, M., Müller, J.M., Klieber, K., Zeisler, A., Schirl, M. (2022) A digital readiness check for the evaluation of supply chain aspects and company size for Industry 4.0, Journal of Manufacturing Technology Management, Vol. 33 No. 9, pp. 1-18. https://doi.org/10.1108/JMTM-10-2020-0382 Queiroz, M.M., Pereira, S.C.F., Telles, R., Machado, M.C. (2021) Industry 4.0 and digital supply chain capabilities: A framework for understanding digitalisation challenges and opportunities, Benchmarking: An International Journal, Vol. 28 No. 5, pp. 1761-1782. https://doi.org/10.1108/BIJ-12-2018-0435 Son, B.-G., Kim, H., Hur, D., Subramanian, N. (2021) The dark side of supply chain digitalisation: supplier-perceived digital capability asymmetry, buyer opportunism and governance, International Journal of Operations & Production Management, Vol. 41 No. 7, pp. 1220-1247. https://doi.org/10.1108/IJOPM-10-2020-0711 Kittipanya-ngam, P., Tan, K.H. (2020) A framework for food supply chain digitalization: lessons from Thailand, Production Planning & Control, 31:2-3, 158-172, DOI: 10.1080/09537287.2019.1631462
Data Literacy for Operations
This course prepares students to:
LO1: Solve business problems using excel tools
LO2: Use visualization and communication tools as a support for an effective decision-making
LO3: Apply different data analysis and communication tools in real case examples
S1: Advanced modelling with excel
S1.1 Optimization and Simulation
S1.2 Sensitivity Analysis
S1.3 Decision support models: examples
S2: Data visualization and communication
S2.1 KPI S2.2 Dasboards and reports (Excel, PowerBI)
S3: Topics of data storytelling
S4: Real case examples
PERIODIC ASSESSMENT
1. Attendance >= 80%
2. Individual assignment with digital presentation and oral discussion (100%; minimum of 9.5 points out of 20 in the final classification)
Given the practical essence of this course, there will be no formal written exam. However, for those not filling the attendance requirements, there will be a final assignment, with digital presentation and oral discussion, to be delivered within 1 week, during the exams period. (100%; minimum of 9.5 points out of 20 in the final classification)
Alexander, M., Kusleika, D. (2022) Microsoft Excel 365 Bible, 1st Edition. Wiley [ISBN: 978-1119835103] Eckert, H.-W. (2022) Storytelling with data: Gaining insights, developing strategy and taking corporate communications to a new level.Springer Gabler Evans, J.R. (2020) Business Analytics, Global Edition, 3rd Edition. Pearson [ISBN: 978-1292339061] Frost, A., Sturt, T., Kynvin J., Gallardo, S.F (2021) Communicating with Data Visualisation: A Practical Guide. Sage Publications Knaflic, C.N. (2019) Storytelling With Data: Let's Practice. Wiley. Knaflic, C.N. (2015) Storytelling With Data: A Data Visualization Guide for Business Professionals. Wiley. Microsoft (n.d.) Microsoft Learn Power BI. https://learn.microsoft.com/en-us/training/powerplatform/power-bi Winston, W. (2021) Microsoft Excel Data Analysis and Business Modeling (Office 2021 and Microsoft 365) (Business Skills), 7th Edition. Microsoft Press [ISBN: 978-0137613663]
Camm, J., Cochran, J., Fry, M., Ohlmann, J., Anderson, D., Sweeney, D., Williams, T. (2015) Essentials of Business Analytics, Cengage Learning. Krum, R. (2014) Cool Infographics: Effective Communication with Data Visualization and Design. Wiley. Telea, A. (2015) Data Visualization: Principles and Practice. 2nd Edition, CRC Press.
Project in Technology and Supply Chain Management
LO1: Diagnose a organizational environment and internal problem that needs a management intervention
LO2: Produce a literature review supporting an applied project
LO3: Define the project phases
LO4: Define the ways of supporting the implementation of the project and its evaluation
S1: Brief organisational diagnosis
S2: Diagnosis of organizational environment and of a specific organizational problem
S3: Applied literature review
S4: Project cost / benefit analysis to organisations
S5: Definition of a intervention project or synthesis of a case and possible solutions
S6: Evaluation of impacts and possibilities of control of results
During the term the following methodologies will be used:
1. Guided study
2. Collective discussion on tutorial sessions
3. Analysis of secondary data
4. Focus group, observation and interviews on organizational environment
Ellet, W. (2007) The case study handbook. USA: Harvard Business Press. Pidd, M. (2003) Tools for thinking: Modelling in Mangement Science. West Sussex: Wiley.A63
Kerkner, H. (2022). Project Management: A systems approach to planning, schedulling, and controlling. 13th Edition, New Jersey: John Wiley Bell, E., Harley, B., Bryman, A. (2022) Business Research Methods. Oxford University Press, 6th Edition Meredith, J. R., Shafer, S.M., Mantel, S. J. (2021). Project Management: A managerial approach. 11th Edition, New Jersey: John Wiley Saunders, M., Lewis, P., Thornhill, A. (2020) Research Methods for Business Students. Pearson, 8th Edition
Dissertation in Technology and Supply Chain Management
Bell, E., Harley, B., Bryman, A. (2022) Business Research Methods. Oxford University Press, 6th Edition Saunders, M., Lewis, P., Thornhill, A. (2020) Research Methods for Business Students. Pearson, 8th Edition Fisher, C. (2007) Researching and writing a dissertation: A guidebook for business students. Essex: Prentice Hall
Ellet, W. (2007) The case study handbook. USA: Harvard Business Press. Pidd, M. (2003) Tools for thinking: Modelling in Mangement Science. West Sussex: Wiley.A63