Bachelor Degree
Accreditations
Accredited
6 Years
31 Jul 2025
Accreditation DGES
Initial registry R/A-Cr 27/2019 de 14-06-2019
Update registry R/A-Cr 27/2019/AL01 de 28-05-2025
Contacts
School of Technology and Architecture
Secreatariat
Sedas Nunes Building (Building I), room 1E07
secretariado.ista @iscte.pt
(+351) 210 464 013
9:30 - 18:00
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Teaching Type In person
Optimization for Data Science |
Network Analysis
Applied Final Project in Data Science |
Applied Project in Data Science |
Data in Science, Bussiness and Society
Calculus Topics I
Computational Statistics
Big Data Processing
Network Analysis |
Optimization for Data Science
Ana Catarina Nunes is an Assistant Professor at ISCTE-IUL. She has a PhD in Mathematics Applied to Economics and Management, a MSc in Operations Research, and graduated in Statistics and Operations Research. She teaches quantitative methods, namely Operations Research and Optimization. She has presented communications in several conferences, and has published in scientific journals such as the European Journal of Operational Research. Her research topics are operations research (combinatorial optimization), mainly on mathematical models and heuristics for the designs of routes and sectors for real applications in delivery and collection systems. In this context, she has been a researcher in projects supported by national funding from FCT (Fundação para a Ciência e a Tecnologia) focused on the efficient resource management in environmental services related to household refuse collection.
Data in Science, Bussiness and Society
Heuristic Optimization
Linear Algebra Fundamentals
Big Data Storage |
Fundamentals of Database Management
António Lopes, Licenciate in Computer Science and Business Management (2002, ISCTE), MSc in Computer Engineering and Telecommunications (2006, ISCTE) and a PhD in Information Sciences and Technologies - Artificial Intelligence branch (2011, ISCTE-IUL), is an Assistant Professor in the Department of Information Science and Technology of the School of Technologies and Architecture at ISCTE-University Institute of Lisbon. Since 2015, he has been Director of ISCTE's Information Systems Development Services.
His research activities began in 2000 at ADETTI's intelligent systems laboratory, where he participated in various national and international projects until the end of 2008. In January 2009 started his activities as researcher at IT-IUL (the research group of ISCTE-IUL's group at Instituto de Telecomunicações) until October 2025. Currently, he's a full member researcher at ISTAR_Iscte where he focuses on the application of Artificial Intelligence across other research areas.
He is responsible for the Specialisation Seminar in Generative Artificial Intelligence in Teaching and Research for training teachers and researchers at ISCTE and coordinator of the course Academic Work with Artificial Intelligence, dedicated to training students in the ethical and responsible use of Generative AI.
Stocastic Modelling
Catarina Marques is an Associate Professor at the Department of Quantitative Methods for Management and Economics (DQMME) of Iscte Business School and a researcher of BRU-Iscte's Data Analytics Research Group. She has a BSc in Applied Mathematics, a MSc in Business Administration and a PhD in Quantitative Methods with a specialisation in Statistics and Data Analysis. Her main research has been centred on structural equation modelling. More recently she has used her experience and competencies to research in Data Science.
Catarina participated in the development of the undergraduate programme in Data Science at Iscte, having been Director of the BSc in Data Science (2019-2023). Since November 2023, she has coordinated the Data Science specialisation of the PhD in Management.
She has been a member of the PhD in Tourism Management Scientific Committee since February 2017. She was a member of Iscte's Pedagogical Council (2019-2021), and during 6 years, Catarina coordinated the 2nd year of the BSc in Management. She is currently an alternate member of Iscte's Scientific Council.
Linear Algebra Fundamentals
Applied Final Project in Data Science
Diana E. Aldea Mendes is an associate professor at Department of Quantitative Methods for Management and Economics, ISCTE-IUL Lisbon, Portugal. She is a mathematician and applied scientist with broad experience in nonlinear dynamics (stochastic and deterministic), time series analysis, data science, ML and deep learning, computational economics and finance, control and synchronization. She is a researcher at BRU-IUL (Business Research Unit - University Institute of Lisbon, Portugal) and has authored or co-authored more than 40 technical papers and reports.
Programming
Programming
Programming
Eugénio Ribeiro is an Assistant Professor in the Department of Information Science and Technology (ISTA) at ISCTE - University Institute of Lisbon and a researcher at INESC-ID Lisboa. He obtained his BSc (2010), MSc (2012), and PhD (2023) degrees in Computer Science and Engineering from Instituto Superior Técnico, with his PhD being awarded with distinction and honor. His research interests encompass a broad range of topics in Artificial Intelligence and Machine Learning, with a primary focus on Natural Language Processing. He has contributed to multiple research projects and authored several publications in international journals and scientific events. He has been recognized for his research and teaching skills through best paper awards, top placements in research challenges, and teaching excellence awards. Additionally, he has been actively involved in organizing scientific events, serving as a reviewer, participating in knowledge-transfer projects, supervising students, and providing training in various contexts.
Calculus Topics I |
Calculus Topics II
Symbolic Artificial Intelligence for Data Science
Isabel Machado Alexandre is an accomplished academic and researcher. She holds a PhD in Computer Studies from the University of Leeds and has been a faculty member at the Instituto Universitário de Lisboa (ISCTE) since 2000, where she teaches in the areas of Information Systems, Human-Computer Interaction, and Artificial Intelligence. Her research focuses on AI applications in health and education, and she has led numerous national and international projects, including COST Actions and initiatives like MEM+ for people with Alzheimer.
With over 60 publications, including journal articles, book chapters, and conference papers, she has made significant contributions to her field. She has also held leadership roles, such as Director of the IT-IUL research unit and Coordinator of the Information Technology group. Her teaching excellence is reflected in consistently high student evaluations, and she has supervised multiple master's and doctoral theses.
Her work extends to university management, curriculum development, and promoting scientific culture, demonstrating a strong commitment to academia and research.
Calculus Topics II
Web Interfaces for Data Management
Jorge Louçã obtained in 2000 a PhD in Computer Science and Artificial Intelligence from the Université Paris Dauphine, Paris, France and the Faculty of Sciences of the University of Lisbon, Portugal. He is, since 2000, professor at the ISCTE-IUL Lisbon University Institute, where he teaches Programming Languages and Complex Systems Science. He founded the Doctoral Programmes in Complexity Sciences, joint academic program at ISCTE-IUL and the University of Lisbon. He coordinates The Observatorium research team and his research interests concern modelling complex social systems through intensive data collection and analysis. He is particularly interested by knowledge generation models in large-scale communication networks. He is also concerned by organising the Complex Systems research community, namelly through the annual Conference on Complex Systems (ECCS or CCS). He participated in the creation of the UNESCO Unitwin network for the Complex Systems Digital Campus, involving institutions from Africa, Latin America and Europe.
Applied Final Project in Data Science
Luís Miguel Martins Nunes, graduated in Computer Science from Faculdade Ciências da Universidade de Lisboa (1993), obtained a MSc degree in Electrical and Computer Engineering from Instituto Superior Técnico, Universidade Técnica de Lisboa (1997, thesis supervised by Prof. Luís Borges de Almeida) and a PhD degree in Computer Science Engineering from the Faculdade de Engenharia da Universidade do Porto (2006, thesis supervised by Prof. Eugénio de Oliveira). Entered in Iscte in 1997 as Teaching Assistant and is currently Associated Professor. Has also contributed as a researcher in the area of Machine Learning in several research units since 1997 (INESC, ADETTI, LIACC, IT and ISTAR) remaining a member of ISTAR to this date.
Unsupervised Learning Methods |
Heuristic Optimization
Exploratory Data Analysis
Data Structures and Algorithms
Regression Models
Maria da Conceição Torres Figueiredo (1966) is Associate Professor of Quantitative Methods at ISCTE-IUL, Portugal, since 1997. She studied economics and econometrics at ISEG-UTL, Portugal (Licenciatura in Economics, 1991; M.S. in Mathematical Modeling for Economics and Management, 1994) and Quantitative Methods at the Instituto Universitário de Lisboa (ISCTE-IUL), (Ph.D. in Quantitative Methods, 2011). Her research focus on Longitudinal Data Analysis and Applied Microeconometrics. Participated in projects, studies, workshops and communications in national and international congresses. of journals where she published: The Portuguese Journal of Social Science; Social Policy and Society; International Labour Review and Jounal of Youth Studies.
Longitudinal Models
Supervised Learning Methods |
Applied Project in Data Science
Applied Final Project in Data Science
Data in Science, Bussiness and Society
Probabilities and Sampling
Patrícia A. Filipe is an Associate Professor at ISCTE-Instituto Universitário de Lisboa, where she teaches courses in the area of Probability and Statistics. Her main research area is statistical modeling, in particular, it focuses on the study of dynamic models of individual growth, statistical models applied to health data and, more recently, analytical methods in Big Data. She has participated in research projects, and in the dissemination of the work developed in national and international scientific meetings, with the publication of several scientific papers.
Big Data Storage |
Fundamentals of Database Management
Professor Pedro Ramos is Full Professor aof the Department of Science and Information Technology ( DCTI ) at ISCTE Lisbon University Institute . It holds a PhD in Science and Information Technology, Master in Management Information Systems. Between 1999 and 2013 he coordinated masters in the area of Information Systems. Coordinates several IT courses at ISCTE-IUL. Has experience in the development of computer applications to the industry. Regularly participates in funded European projects.
Longitudinal Models
Security, Ethics and Privacy
Network Analysis
Applied Project in Data Science |
Data in Science, Bussiness and Society
Linear Algebra Fundamentals |
Calculus Topics I
Data in Science, Bussiness and Society |
Applied Final Project in Data Science
Regression Models |
Longitudinal Models
Programming
Probabilities and Sampling
Big Data Storage |
Fundamentals of Database Management
Web Interfaces for Data Management
Applied Final Project in Data Science
Data Structures and Algorithms
Exploratory Data Analysis
Heuristic Optimization
Supervised Learning Methods |
Applied Project in Data Science
Data in Science, Bussiness and Society
Calculus Topics II
Unsupervised Learning Methods
Programming
Security, Ethics and Privacy
Optimization for Data Science
Computational Statistics |
Stocastic Modelling
Contacts
School of Technology and Architecture
Secreatariat
Sedas Nunes Building (Building I), room 1E07
secretariado.ista @iscte.pt
(+351) 210 464 013
9:30 - 18:00