Accreditations
Tuition fee EU nationals (2025/2026)
Tuition fee non-EU nationals (2025/2026)
The master’s in informatics and management has a duration of two years, corresponding to the completion of 120 ECTS credits. These credits are distributed among compulsory courses, elective courses, free electives, and the Dissertation in Informatics and Management or the Project Work in Informatics and Management. The listed elective courses will be offered in after-work hours, and students may choose either the recommended courses or others that better suit their schedules.
Programme Structure for 2025/2026
| Curricular Courses | Credits | |
|---|---|---|
| 1st Year | ||
|
Leading Digital Transformation & Innovation
6.0 ECTS
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Digital Transformation
6.0 ECTS
|
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Agile Project Management
6.0 ECTS
|
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Business Process Management
6.0 ECTS
|
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Artificial Intelligence Applied for Business
6.0 ECTS
|
||
|
Search-Based Software Engineering
6.0 ECTS
|
||
|
It Governance Fundamentals
6.0 ECTS
|
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| 2nd Year | ||
|
Introduction to Research in Computer Science and Business Management
6.0 ECTS
|
||
|
Agility in Digital Era
6.0 ECTS
|
||
|
Master Dissertation in Computer Science and Business Management
42.0 ECTS
|
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|
Master Project in Computer Science and Business Management
42.0 ECTS
|
Leading Digital Transformation & Innovation
Students who successfully complete this course will be able to:
LO1 - Describe and compare theories on e-leadership and digital platforms for innovation.
LO2 - To know and critically evaluate the psychosocial processes that influence e-leadership and innovation in digital platforms.
LO3 - Using methods and techniques to diagnose and intervene in the main problems related with digital transformation and innovation in organizations.
PC1. Introductory approach to digitalization and digital platforms
PC2. Main drivers of digital disruptions in organizations
PC3. Innovation and change in organizations dynamics (blue Ocean Strategy)
PC4. Leading remote teams and green innovation in organizations
PC5. Psychosocial processes in e-leadership and implementing sustainable digital transformation strategies
PC6. Digital transformation across sectors
Assessment throughout the semester (1st Sitting Evaluation):
- Practical cases developed in class (40%)
- 1 individual written test without consultation (60%)
There is no exam option in the 1st Sitting Evaluation.
The minimum grade for the written test in the 1st sitting evaluation must be 9.5 points.
The grade for the group assignment will not be considered for the exam in the 2nd sitting
2nd Sitting Evaluation - Written exam without consultation covering all the material taught during the semester.
Attendance criteria will not be taken into account in this curricular unit.
Bankins, S., Ocampo, A. C., Marrone, M., Restubog, S. L. D., & Woo, S. E. (2024). A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice. Journal of Organizational Behavior, 45(2), 159–182.
Bresciani, S., Ferraris, A., Romano, M., Santoro, G., (2021). Human Resource Management and Digitalisation, Digital Transformation Management for Agile Organizations: A Compass to Sail the Digital World. Emerald Publishing Limited
Brown, J. W. (2023). Leading the Digital Workforce. CRC Press.
Kim, W. C., & Mauborgne, R. (2005). Blue Ocean Strategy: How to Create Uncontested Market Space and Make the Competition Irrelevant. Boston, MA: Harvard Business School.
Rogers, D. L. (2023). The Digital Transformation Roadmap. Columbia University Press.
Salas, E., Goodwin, G. F. & Burke, C. S. (Eds.). (2009). Team effectiveness in complex organizations. Cross-disciplinary perspectives and approaches. New York: Psychology Press.
Anderson, D. L. (2023). Organizational Development - The Process of Leading Organizational Change. Sage
Anderson, N., Potocnik, K., & Zhou, J. (2014). Innovation and creativity in organizations a state-of-the-science review, prospective commentary, and guiding framework. J. of Management, 40(5), 1297-1333.
Baldé, M., Ferreira, A. I., & Maynard, T. (2018). SECI driven creativity: the role of team trust and intrinsic motivation. Journal of Knowledge Management, 22(8), 1688-1711.
Burke, W.W. (2014). Organization Change - Theory and Practice. Sage.
Burke, C. S., Shuffler, M. L., & Wiese, C. W. (2018). Examining the behavioral and structural characteristics of team leadership in extreme environments. Journal of Organizational Behavior, 39(6), 716–730.
Cameron, E. & Green, M. (2012). Making sense of change management - A complete guide to the models, tools and techniques of organizational change. Kogan Page.
Chamakiotis, P., Panteli, N., & Davison, R. M. (2021). Reimagining e-leadership for reconfigured virtual teams due to Covid-19. International Journal of Information Management, 60, 102381. https://doi.org/10.1016/j.ijinfomgt.2021.102381
Colbert, A., Yee, N., & George, G. (2016). The Digital Workforce and the Workplace of the Future. Academy of Management Journal, 59(3), 731–739.
Costa, C. G., Zhou, Q., & Ferreira, A. I. (2018). The impact of anger on creative process engagement: The role of social contexts. Journal of Organizational Behavior, 39(4), 495-506.
da Silva, L.B.P., Soltovski, R., Pontes, J., Treinta, F.T., Leitão, P., Mosconi, E., de Resende, L.M.M., Yoshino, R.T. (2022) Human resources management 4.0: Literature review and trends. Computers & Industrial Engineering 168, 108111.
Dionisio, M., de Souza Junior, S. J., Paula, F., & Pellanda, P. C. (2023). The role of digital transformation in improving the efficacy of healthcare: A systematic review. The Journal of High Technology Management Research, 34(1).
Donovan, T. (2023). HR in the age of AI: The Illusion of Control (Revolutionizing HR: Transforming People Management in the Digital Age). Independently published.
El Sawy, O. A., Kræmmergaard, P., Amsinck, H., & Vinther, A. L. (2016). How LEGO Built the Foundations and Enterprise Capabilities for Digital Leadership. MIS Quarterly Executive, 15(2), 141–166.
Ferreira, A. I. & Martinez, L. F. (2023). Manual de Diagnóstico e Mudança Organizacional. Lisboa: Edit. RH.
Guo, X., Li, M., Wang, Y., & Mardani, A. (2023). Does digital transformation improve the firm’s performance? From the perspective of digitalization paradox and managerial myopia. Journal of Business Research, 163.
Karp, R. (2022). Gaining Organizational Adoption: Strategically Pacing the Deployment of Digital Innovations. Academy of Management Journal, 1. https://doi.org/10.5465/amj.2020.0548
Lamarre, E., Smaje, K., & Zemmel, R. (2023). Rewired. John Wiley & Sons.
Marks, M. A., Mathieu, J. E., & Zaccaro, S. J. (2001). A temporally based framework and taxonomy of team processes. Academy of Management Review, 26, 356-376.
Pandey, A., Grima, S., Pandey, S., & Balusamy, B. (2024). The Role of HR in the Transforming Workplace. CRC Press.
Santos, C.M., Passos, A.M., Uitdewilligen, S., & Nübold, A. (2016). Shared temporal cognitions as substitute for temporal leadership: An analysis of their effects on temporal conflict and team performance. The Leadership Quarterly, 27, 574-587.
Sen, S. (2020). Digital HR Strategy. Kogan Page Publishers.
Tidd, J., & Bessant, J.R. (2018). Managing innovation: Integrating technological, market and organizational change. New York: Wiley.
Uitdewilligen, S., & Waller, M. J. (2018). Information sharing and decision-making in multidisciplinary crisis management teams. Journal of Organizational Behavior, 39(6), 731–748.
Vuchkovski, D., Zalaznik, M., Mitręga, M., & Pfajfar, G. (2023). A look at the future of work: The digital transformation of teams from conventional to virtual. Journal of Business Research, 163.
Westerman, G., Bonnet, D., McAffe, A. (2014). Leading digital: turning technology into business transformation. Boston: Harvard Business Review Press.
Zhang, M. J., Zhang, Y., & Law, K. S. (2022). Paradoxical Leadership and Innovation in Work Teams: The Multilevel Mediating Role of Ambidexterity and Leader Vision as a Boundary Condition. Academy of Management Journal, 65(5), 1652–1679.
Digital Transformation
LG1. Understand why digtal transformation (DT) is important and how it impacts organizations.
LG2. Understand why digtal strategy is important and how to implement it.
LG3. Understand the digital context since the first digital platform and the main predictions of digital evolution in a near future. Recognize the DT as a process.
LG4. Recognise the digital platforms and business models transformation. Know the main business for digital economy.
LG5. Know the reference models for DT an the main good practices.
LG6. Understand the main opportunities and threats of DT
LG7. Understand the DT under organizational management and corporate governance fields.
LG8. Know how to implement the DT as well as the importance to consider the change management and continual improvement fields.
LG9. Design a roadmap to improve maturity through DT. Use agile tools and practices.
This class has the following syllabus (CPs):
CP1 [Digital Strategy] ? Introduce the importance and main concepts to implement a digital strategy.
CP2 [Drivers for the Digital Transformation of Organizations]
Introduction to the main concepts of Digital Transformation.
CP3 [Main practices related to the digital transformation process]
Reference models and practices for the Digital Transformation of Organizations
CP4 [Models of Information and Technology Governance in Organizations]
Organization Models in the ontexto of Digital Transformation.
CP5 [Definition of the roadmap for Digital Transformation]
Practical application of concepts and exercises to define strategies and roadmap for Digital Transformation
This CU does not have exam. Its practical approach is assessed by a project.
Evaluation during the semester
Individual Assignment(IA) - 30% of the grade (minimum of 8) (during the semester)
Group Assignment (GA) - 60% (first season)
Presentation (P) - 10% (first season)
Formula::
Final grade = (IA*0,3+GA*0,6 + P*0,1)
Minimum grade of 10 to be approved
The students can:
Second season: improve their IA or deliver a new project for 100% of the grade
Special season: deliver a new project for 100% of the grade
To be approved in second season or special season it is required at least a final grade of 10
Sunil Gupta, Digtal Strategy: A Guide to Reimagining your Business, Harvard Business Review Press, Boston, Massachusetts, 2018
ISACA, COBIT 2019 Framework: Introduction and Methodology, USA, 2018
Neil Perkin and Peter Abraham, Building the Agile Business Through Digital Transformation, Kogan Paga Limited, London, 2017
Thomas M. Siebel, Digital Transformation, RosetaBooks, New York, 2019
Alexander Rauser, Digital Strategy: A Guide to Digital Business Transformation, CreateSpace ndependent Publishing Platform, North Charleston, South Carolina, 2016
Agile Project Management
LG1. Understand why agile methodologies are important for project
management specially for ITSM
LG2. Understand why ITSM is important and how complex is to apply it.
LG3. Learn about the main standards and frameworks of ITSM. The main focus
should rely on ITIL.
LG4. Understand how DEVOPS works as well as how it links with ITIL and ITSM.
LG5. Learn about SCRUM methodology. Which are the main advantages and
how one can apply it in practice to better manage ITSM projects.
LG6. Teach students the main roles and responsibilities of SCRUM, ITIL and
DEVOPS as well as how these methodologies can works all together to promote
IT service improvement and increase organizational productivity.
CP1 [Frame and Motivation]
Global vision of ITSM
CP2 [ITIL & ITSM]
Introduce the main ITSM framework: ITIL
CP3 [DEVOPS]
Introduce DEVOPS methodology and respective practices
CP4 [ITIL & DEVOPS]
Explain how DEVOPS and ITIL can work together to improve the ITSM
CP5 [SCRUM]
Introduce and explain SCRUM. Detail its content and elements as well as their
meaning and field of application.
CP6 [SCRUM & ITSM]
Explain how SCRUM and ITSM relate. Plus, detail the advantages of using
SCRUM in ITSM projects.
CP7 [Applicational Architecture]
Explain how the approached methodologies can work all together aiming to
both improve ITSM efficiency and improve ITSM project success.
This CU does not have an exam. Its practical approach is assessed by a project.
Periodical Evaluation:
Group assignment
Part1 (P1) - 40% of the grade
Part2 (P2) - 40% (first season)
Individual presentation (IP) - 20% (first season)
Formula::
Final grade = (P1*0,4+P2*0,4 + IP*0,2)
Minimum grade of 10 to be approved
The students can:
Second season: improve their IA or deliver a new project for 100% of the grade
Special season: deliver a new project for 100% of the grade
Slides de GPA, Rúben Pereira, disponíveis na plataforma e-learning
The Unicorn Project; Gene Kim; 2019
The Phoenix Project; Kevin Behr, George Spafford and Gene Kim; 2013
DevOps for Dummies; Emily Freedom; 2019
ITIL Foundation: itil4; Stationery Office; 2019
The SCRUM Guide; Ken Schwaber and Jeff Sutherland; 2013
Business Process Management
LG1. Understand why is the management of business processes importan
LG2. Get the capability to criticize the alignment between business processes and business strategy
LG3. Acquire the knowledge to model business processes
LG4. Acquire the knowledge to analyze business processes
LG5. Acquire the knowledge to redesign business processes
This UC has the following program contents (PCs):
PC1 [Frame and Motivation]
Global vision of business process management and benefits
PC2 [BPMN]
Introduce the main notation to model business processes
PC3 [Processes? Context]
Understand how the process analysis is influenced by processes? context
PC4 [Techniques of Analysis]
Introduce the main techniques to analyze a business process
PC5 [Manage the Process Redesign]
Explain the main concerns to have into consideration during process redesign
PC6 [Information Architecture]
Introduce the main heuristics to redesign business processes.
This CU does not have an exam. Its practical approach is assessed by a project.
Evaluation during the semester
Individual Assignment(IA) - 30% of the grade (minimum of 8) (during semester)
Group Assignment(GA)
Part1 (P1) - 30% (during semester)
Part2 (P2) - 30% (during semester)
Presentation (P) - 10% (first season)
Formula::
Final grade = (IA*0,3+P1*0,3 + P2*0,3 + P*0,1)
A minimum grade of 10 to be approved
The students can:
Second season: improve their IA or deliver a new project for 100% of the grade
Special season: deliver a new project for 100% of the grade
To be approved in the second season or special season it is required at least a final grade of 10
Fundamentals of Business Process Management; Dumas, M., La Rosa, M., Mendling, J., Reijers, H., 2018 - Business Process Management: Concepts, Languages, Architectures; Weske, M., 2012 - Slides de GPN, Rúben Pereira, disponíveis na plataforma e-learning
Artificial Intelligence Applied for Business
LO1. Understanding of the basic principles of AI, as well as its applications, benefits and challenges in the professional context;
LO2. Ability to create and effectively use AI solutions to solve problems and optimize processes in different contexts;
LO3. Acquire productivity strategies by understanding the use of Generative AI as an auxiliary tool in their daily lives;
LO4. Development of critical and interdisciplinary sense about the application of AI in different business areas, identifying opportunities and solving real and specific problems of different sectors.
P1. Introduction to AI in Business: Fundamental concepts of AI and its applications in the business context;
P2. Introduction to AI approaches and supporting technologies;
P3. Use of AI in areas such as: Software; Data Science; Finance; Health; Sustainability;
P4. AI as a stimulus to entrepreneurship and innovation;
P5. Ethics and Risks of AI Evolution
The practical nature of this curricular unit and the need for knowledge assessment to be carried out essentially through the students' ability to apply knowledge in solving practical problems, leads to the choice of a project-based evaluation method.
In the 1st season or normal season, evaluation throughout the semester, with no obligation of minimum attendance, with 3 evaluation moments of the group project:
- Presentation of progress mid-semester weighting 20% of the final grade;
- Final project report weighting 15% and quality of the proposed solution weighting 35% of the final grade;
- Final presentation weighting 10% and discussion weighting 10% of the final grade.
The evaluation is based on the performance and individual contribution of each member of the group.
Or evaluation at the end of the semester (1st season), by individual project with 2 evaluation moments:
- Project report weighting 20% and quality of the proposed solution weighting 45% of the final grade;
- Presentation of the work weighting 10% and discussion weighting 15% of the final grade.
In the 2nd season, grade improvement or special season (under the terms of the RGACC), assessment by individual project, available to students who request it:
- Project report weighting 20% of the final grade;
- Quality of the proposed solution weighting 45% of the final grade;
- Presentation of the work weighting 10% of the final grade;
- Discussion of the work weighting 15% of the final grade.
All assessment periods include an assessment component carried out on the eLearning platform, with a weight of 10% (2 out of 20) in the final grade.
All assessment components, in all assessment periods, have a minimum score of 9.5 (out of 20).
Book, Applied Artificial Intelligence in Business (2022), ISBN : 978-3-031-05739-7 (https://link.springer.com/book/10.1007/978-3-031-05740-3)
in Book Series: Applied Innovation and Technology Management - https://www.springer.com/series/16548
Search-Based Software Engineering
"After completing this course unit the student should be able to:
LO1. Identify the most relevant types of optimization and decision problems in Software Engineering (SE) activities, which determine the success of software projects and products.
LO2. Recognize the main characteristics of a multi-objective optimization problem and multi-criteria decision in the context of SE.
LO3. Define the computational model of the multi-objective optimization and multi-criteria decision problem in SE;
LO4. Know the main (families and) optimization and multi-criteria decision techniques;
LO5. Know how to solve multi-objective optimization and multi-criteria decision problems in SE."
"CP1. Introduction to Optimization and Decision in Software Engineering (SE);
CP2. Single criterion optimization and decision problems;
CP3. Optimization and multi-criteria decision problems;
CP4. Optimization and multi-criteria decision problems in SE (project management, requirements, design, implementation, validation and verification, deployment);
CP5. Mathematical optimization and multi-criteria decision techniques;
CP6. Optimization heuristics and multi-criteria decision methods."
"The practical nature of this curricular unit and the need for knowledge assessment to be carried out essentially through the students' ability to apply knowledge in solving optimization problems in software engineering, leads to the choice of a project-based evaluation method.
In the 1st season or normal season, evaluation throughout the semester, with no obligation of minimum attendance, with 3 evaluation moments of the group project:
- Presentation of progress mid-semester weighting 20% of the final grade;
- Final project report weighting 15% and software delivered weighting 35% of the final grade;
- Final presentation weighting 10% and discussion weighting 10% of the final grade.
The evaluation is based on the performance and individual contribution of each member of the group.
Or evaluation at the end of the semester (1st season), by individual project with 2 evaluation moments:
- Project report weighting 20% and software delivered weighting 45% of the final grade;
- Presentation of the work weighting 10% and discussion weighting 15% of the final grade.
In the 2nd season, grade improvement or special season (under the terms of the RGACC), assessment by individual project, available to students who request it:
- Project report weighting 20% of the final grade;
- Software delivered weighting 45% of the final grade;
- Presentation of the work weighting 10% of the final grade;
- Discussion of the work weighting 15% of the final grade.
All assessment periods include an assessment component carried out on the eLearning platform, with a weight of 10% (2 out of 20) in the final grade.
All assessment components, in all assessment periods, have a minimum score of 9.5 (out of 20)."
Software Metrics A Rigorous and Practical Approach, Norman Fenton, James Bieman, CRC Press, 2014. A64.
Ieee Computer Society. (2024). Guide to the software engineering body of knowledge (swebok 4.0) (Hironori Washizaki, Eds.). IEEE Computer Society Press.
Multicriteria Decision Aid and Artificial Intelligence: Links, Theory and Applications, Michael Doumpos, Evangelos Grigoroudis, Wiley, 2013.
Many-Criteria Optimization and Decision Analysis: State-of-the-Art, Present Chalenges, and Future Perspectives”, Dimo Brockhoff, Michael Emmerich, Boris Naujoks, Robin Purshouse, Springer, 2023.
Multicriteria Optimization and Decision Making: Principles, Algorithms, and Applications, Michael Emmerich and Andr e Deutz, Leiden Institute of Advanced Computer Science, 2012.
Nonlinear Multiobjective Optimization, Kaisa Miettinen, Kluwer, 1999.
'Multiobjective Linear and Integer Programming, C.H. Antunes, M.J. Alves, J.N. Clímaco, Euro Advanced Tutorials on Operational Research Series, Springer, 2016.
It Governance Fundamentals
OA1. Deepen the mastery of the most used frameworks for IT governance.
OA2. Acquire critical thinking about practical constraints regarding business/IT
alignment.
OA3. Realize the impact that a good / bad IT investment can bring in relation
to success for the business.
OA4. Gain awareness of the various mechanisms for IT governance and how
these can be used to achieve a better strategic alignment between business
and IT.
OA5. Understand how risk and compliance management is directly related to
governance and what influence does it has on its success.
OA6. Understand the role of IT in innovation and how IT can help the business
to differentiate itself in the marketplace.
OA7. Understand the importance of planning properly and analyzing the
benefits.
CP1 [Principles and concepts]
Main principles and concepts on IT governance.
CP2 [IT Governance VS IT Management]
Elucidate on the main differences between governing and managing IT.
CP3 [IT Governance Mechanisms]
Describe the various mechanisms for IT governance, as well as their
functionalities.
CP4 [IT Strategy Management]
Clarify the importance of good IT planning and keep your business strategy and
IT aligned.
CP5 [IT Value]
Understand the cost / benefit of IT investments.
CP6 [IT Performance]
Application and relevance of a Balance ScoreCard (BSC) in IT.
CP7 [IT Risk Management]
Importance of risk management and how it can be applied.
CP8 [IT Compliance Management]
The importance of keeping in line with policies.
CP9 [Innovation]
How to use IT to empower business.
CP10 [Frameworks for IT Governance]
Introduction to the main frameworks in the market for guiding/supporting IT
governance
PERIODIC EVALUATION
This is the recommended evaluation method given the nature of the content
taught. The evaluation will be made through an individual assignment. The
work must be delivered and presented at the end of the semester during the
normal season.
Individual Assignment
Students will have to submit a final assignment where they must present the
knowledge acquired throughout the UC. The subject of the work must be
aligned with all or part of the subject matter. Students will be encouraged to
integrate their work with the reality of companies, although this is not
mandatory.
Each student should make a final presentation about the work done followed
by an oral discussion of the work.
The work will have a weight of 90% and will be evaluated on a scale of 0 to 20.
The presentation of the work will have a weight of 10% and will evaluated on a
scale of 0 to 20.
Slides de Fundamentos de Governação das TI, Rúben Pereira, disponíveis na plataforma de e-learning (à medida que os temas forem introduzidos), 2017/2018
Enterprise Governance of Information Technology: Achieving Strategic Alignment and Value, Van Grembergen and Steven de Haes, 2009th Edition, Springer,
2009
IT Governance: How Top Performers Manage IT Decision Rights for Superior Results, Peter Weil and Jeanne Ross, Harvard Business School, 2004
IT Governance: Policies and Procedures, Michael Wallace and Larry Webber, 2017 Edition, Wolters Kluwer, 2016
Implementing World Class IT Strategy: How IT Can Drive Organizational Innovation, Peter A. High, 1st Edition, Jossey-Bass, 2014
Governance, Risk Management, and Compliance: It Can't Happen to Us--Avoiding Corporate Disaster While Driving Success, Richard M. Steinberg, Wiley, 2011
Adventures of an IT Leader, Robbert D. Austin and Richard L. Nolan, Harvard Business School, 2009
Introduction to Research in Computer Science and Business Management
At the end of this course, students should:
O1. Know the general sequence of procedures that take place in an investigation.
O2. Know how to identify / confirm the existence of open problems, through a systematized literature review.
O3. Know the rudiments of various methodological approaches to research and understand their applicability conditions.
O4. Have had contact with various techniques and tools used by researchers.
O5. Learn how to select the processes of data collection, organization, processing and analysis.
1st SEMESTER
P1: State of the art and research questions
It involves a critical literature review, guided by a protocol defining the research scope and inclusion and exclusion criteria. The characterization of the state of the art should justify the choice of the topic and the relevance of the research questions.
P2: Training of writing and presentation skills for scientific works
Encompasses participating in seminars, cooperative workshops (e.g. posters session), mini courses and attending public defenses.
2nd SEMESTER
P3: Implementation and validation of proposed contributions
The validation of contributions must be made by demonstrating the compliance with the steps of the adopted scientific method(s), and/or by comparing the results obtained with the state of the art, and/or through their dissemination in peer-reviewed scientific venues.
P4: Dissertation writing
Must comply with the graphic presentation standards in force.
I) EVALUATION during the semester
- 25% first individual delivery (during semester)
- 75% Individual project (first season)
The student can use the 2nd season or special season (individual project and different topic).
Creswell, J. W. (2013). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications (4th edition) Berndtsson, M., Hansson, J., Olsson, B., & Lundell, B. (2008). Thesis projects: a guide for students in computer science and information systems. Springer Science & Business Media (2nd edition). Saunders, Mark et al (2016), Research Methods for Business Students, England, Pearson Education Limited (7th edition).
Artigos selecionados ilustrando a aplicação de vários métodos de investigação Rúben Pereira. Várias coleções de slides sobre vários métodos, técnicas e ferramentas de investigação (a disponibilizar progressivamente na plataforma de e-learning)
Agility in Digital Era
1. Know how to develop mechanisms, techniques, tools to create common sense in the teams
2. Know how to get the best out of each one in a collective contribution
3. Know how to redefine limits, processes, organizational reengineering to accelerate deliveries
4. Know how to use technology to enhance sharing and productivity
1. Old paradigm: organizations like machines
2. New paradigm: organizations as mutant living organisms
3. Strategic direction embedded throughout the organization
4. Networking to empower teams
5. Fast decision-making and learning cycles
6. Dynamic teams boost culture
7. Technology-based productivity
Continuous assessment requires attendance at a minimum of 60 percent of classes and includes the completion of:
- An individual assignment presented and discussed with a weighting of 80%;
- 20% classroom participation
The Final exam, in the 1st and 2nd Seasons, will represent 100% of the final grade obtained, disregarding the continuous assessment component.
Kahl, J., De Klerk, S., & Whiteoak, J., Managing empowerment: Adjusting organisational units’ autonomy to achieve corporate agility, 2023, Journal of Organizational Effectiveness: People and Performance, 10(4), 527–545., https://doi.org/10.1108/JOEPP-05-2022-0126
https://doi.org/10.1016/j.indmarman.2023.04.003
Guo, R., Yin, H., & Liu, X., Coopetition, organizational agility, and innovation performance in digital new ventures, 2023, Industrial Marketing Management, 111, 143–157.
Amling, A., Organizational Velocity: Turbocharge Your Business to Stay Ahead of the Curve, 2022, Business Expert Press
Allen, J. Zook, C., Repeatability Build Enduring Businesses for a World of Constant Change., 2012, Harvard Business Review
Reinventing Organizations: A Guide to Creating Organizations Inspired by the Next Stage in Human Consciousness. Nelson Parker
Holbeche, L., The Agile Organization: How to Build an Innovative, Sustainable and Resilient Business, 2015, Kogan Page
Agility: How to Navigate the Unknown and Seize Opportunity in a World of Disruption. Missionday
Berstrand, J., The Velocity Advantage, 2017, Brand Velocity Inc. 1st Edition
Master Dissertation in Computer Science and Business Management
OA1: Know how to systematically review the relevant literature in a given scientific domain, to draw a picture of the state of the art and to identify research questions and expected contributions.
OA2: Have applied one or more research methods to answer research questions, resulting in one or more technical-scientific contributions.
OA3: Know how to validate contributions and identify the corresponding validity threats.
OA4: Have learned how to prepare a master's thesis with quality, both in form and content.
OA5: Being able to present a scientific work and to argue about the validity of its contributions.
1st SEMESTER
P1: State of the art and research questions
It involves a critical literature review, guided by a protocol defining the research scope and inclusion and exclusion criteria. The characterization of the state of the art should justify the choice of the topic and the relevance of the research questions.
P2: Training of writing and presentation skills for scientific works
Encompasses participating in seminars, cooperative workshops (e.g. posters session), mini courses and attending public defenses.
2nd SEMESTER
P3: Implementation and validation of proposed contributions
The validation of contributions must be made by demonstrating the compliance with the steps of the adopted scientific method(s), and/or by comparing the results obtained with the state of the art, and/or through their dissemination in peer-reviewed scientific venues.
P4: Dissertation writing
Must comply with the graphic presentation standards in force.
The assessment at the end of 1st semester include: research proposal, introduction, literature review, the plan for the next sections, and a presentation.
The final assesment will take into consideration the previous assessment, the quality of the investigation (document), and the quality of the presentation and public discussion.
A bibliografia desta unidade curricular será determinada pela UC Introdução à investigação em informática e gestão. Assim como, pelo contexto de investigação de cada aluno.
Normas e regras de elaboração de teses mestrado Iscte, disponível em: https://www.iscte-iul.pt/assets/files/2020/10/28 /1603893748579_Normas_elaborac_a_o_teses_de_mestrado_PT_IBS_Versa_o_Set_2020.pdf - Acessado em Julho 2025
Entrega de dissertação Iscte, disponível em: https://www.iscte-iul.pt/conteudos/estudantes/informacao-academica/percurso-academico/area-mestrado/926/entrega-de-dissertacao-ou-trabalho-de-projeto - Acessado em Julho 2025
Recommended optative
Although students are free to choose any elective courses, the following electives are recommended.
1st semester
- 03766 I Introduction to Machine Learning
- M5700 I Integrated Decision Support Systems
- 02870 I Text Mining
- 03209 | Fundamentals of Data Science
- 04674 | Knowledge and Reasoning in Artificial Intelligence
- 03748 I Information Systems Management (2nd Cycle)
- 03746 I Internet of Things Lab
- 00010 I Network and Information Systems Security
- 03741 I Smart Sensors and Actuators for the Internet of Things
- 02674 I Cloud Technologies and Systems
- 04981 I Data Privacy
2nd semester
- 02198 I Computational Language Processing
- 03363 | Computational Intelligence and Optimization
- 04894 I Information Visualization
- 03691 I Blockchain
- 04698 I Artificial Intelligence for Robotics
- 04984 I Security and Cryptography in Communication Networks
- 04982 I Secure Software Development
- 04446 | Coding and Information Protection
Objectives
Students of the master’s in informatics and management (MIG) are expected to acquire specialized technical knowledge in the areas of Informatics and Management, with a focus on digital transformation, as well as to demonstrate specific competencies for complex projects and/or research work.
- Provide advanced interdisciplinary training that combines solid knowledge of informatics, data science, digital technologies, and security with organizational management practices and models.
- Enable professionals to lead digital transformation processes, with a focus on strategic analysis, technological innovation, and IT change management in business and institutional contexts.
- Develop competencies in the design, development, and evaluation of information systems, emphasizing technological solutions aligned with organizational strategic objectives.
- Train specialists capable of integrating multidisciplinary teams and working in complex environments, using digital transformation methodologies, critical thinking, and results-oriented approaches.
Encourage the production of applied and innovative knowledge through the development of projects or dissertations that respond to real challenges in society and the business market.
Promote an ethical and sustainable perspective on the use of information technologies, with attention to security, privacy, social responsibility, and organizational impact.
Prepare students for scientific research and the pursuit of doctoral studies, fostering skills in research methods, data analysis, and scientific writing.
The learning objectives for the master’s in informatics and management at Iscte are aligned with the principles of the European Higher Education framework (such as the European Qualifications Framework — EQF/NQF).
Specifically, a graduate of this program is expected to demonstrate the following:
Knowledge and Understanding
- Critically understand the concepts, models, and technologies related to informatics, management, and digital transformation in organizations.
- Analyze organizational and technological dynamics that influence the implementation of information systems and digital innovation.
Application of Knowledge
- Apply data analysis techniques, process modeling, and systems management to solve complex organizational problems.
- Design and implement information technology solutions using current methodologies and tools suited to business contexts.
Critical Thinking and Problem Solving
- Critically evaluate technological solutions and management decisions based on effectiveness, efficiency, sustainability, and strategic alignment.
- Solve multidimensional problems by integrating technical knowledge with leadership, communication, and adaptability skills.
Interpersonal and Professional Skills
- Work effectively in interdisciplinary and multicultural teams, assuming leadership or collaborative roles in IT and management projects.
- Communicate analysis results, project outcomes, or research findings clearly and precisely to both technical and non-technical audiences.
Research and Development
- Conduct applied or academic research using appropriate methodologies, contributing to the generation of new knowledge or organizational innovation.
Ethics and Responsibility
- Act ethically and responsibly in the use and development of technologies, respecting principles of privacy, information security, and social impact.
Thesis / Final work
The program intends for students to develop and demonstrate abilities of independent work, planning, investigating, systematizing, developing, writing (in the form of a dissertation) and presenting their introductory work of scientific activity around a well-defined topic. The work will be guided by a supervisor or recognized specialist that, among other things, will help the candidates to choose the most appropriate research methodology. If the theme chosen is multidisciplinary, it is possible to have a co-supervisor in order to adequately cover the scientific areas involved. This curricular unit ends with the defense of the dissertation made before a jury appointed for this purpose in a public examination.
Iscte strongly encourages dissertations to be written in English, not only because this promotes their international dissemination by making them available in the institutional repository, but also because it facilitates the production of scientific articles based on the results of the research described in the dissertation. The acceptance for publication of such an article in an international event or journal with scientific peer review, prior to the defence, is a factor that will positively influence the final grade obtained in this UC. Please note that the dissertation grade counts for almost half of the final master's degree average, as this average is calculated on the basis of the credit-weighted grades of all the UCs taken within the scope of the MIG.
Although the "dissertation" option is favoured, as it provides a good introduction to the world of research, which is the main forge of knowledge throughout the world, the master's student may opt to carry out a "project work" of an innovative nature, totalling the same credits as a dissertation, whose preparation must be anchored in a well-identified development methodology and whose report, which will also be subject to a public defence before a jury, must meet the same quality requirements as a dissertation. Project work will typically be of a more applied nature than a dissertation and may be carried out within the scope of a research centre linked to ISTA, under the supervision of one of its researchers, or conducted in a company, typically under the supervision of a professor from DCTI or IBS and co-supervised by a specialist of recognised merit from that same company.