SPECIALIZATION IN QUANTITATIVE METHODS APPLIED TO MANAGEMENT
Director
José Dias
Office: AA1.08
Telephone: 217903208; 711081
Locker: 008AA
E-mail: jose.dias@iscte.pt
Program Outline
The Ph.D. in Management specialization in Quantitative Methods applied to Management is structured around three objectives:
- Through an important school part, to provide Ph.D. students a range of knowledge and skills so that they can develop independent, skilled and innovative research;
- To encourage and support Ph.D. students in publicizing the results of their research through the presentation of papers at conferences as well as the publication of articles in magazines;
- To promote solid professional perspectives.
Why to choose the Management Ph.D. with specialization in Quantitative Methods applied to Management?
| Because:
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Integrative understanding. Students are expected to master the research tools and related diagnostics at the end of their doctoral studies due to the systematic knowledge they will be exposed to throughout the program; |
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Produce research. Students will be closely supervised in order to design, plan and implement research plans that, according to management methodological standards and ethics, are considered valid and important contributions to the development of scientific knowledge, therefore publishable in scientific journals of the specialty. |
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Critical analysis. Students are expected to critically analyze other researchers' ideas, interventions and research and suggest ways to overcome the limitations identified; |
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Present findings. Throughout the program, students will be encouraged to present, promote and defend the results of their research within the academic community and participate in the scientific publication of their work with a wider public. |
CURRICULUM 2012/2013
| Courses | Scientific Area | Type | Credits |
|---|---|---|---|
| Research Design I |
Management |
Semester | 6 |
| Research Design II | Organizational Behavior | Semester | 6 |
| Statistical methods | Statistics and Data Analysis | Semester | 6 |
| Free option |
n/a | Semester | 6 |
| Qualitative Research | Accounting | Semester | 6 |
| Research Development and Publication |
Marketing | Semester | 6 |
| Specialization Seminar in Quantitative Methods |
Quantitative Methods | Semester | 12 |
| Research Project in Quantitative Methods | Quantitative Methods | Semester | 12 |
| Total | - | - | 60 |
| Courses | Scientific Area | Type | Credits |
|---|---|---|---|
| Ph.D. Thesis in Quantitative Methods | Management |
Biannual |
6 |
| Total | - | - | 120 |
FACULTY
| Faculty | Research Interests |
| Abdul Suleman abdul.suleman@iscte.pt |
Fuzzy Sets Theory Statistical Applications of Fuzzy Sets; Multivariate Statistical Analysis; Latent Variables Models; Statistics of Extremes; Bayesian Statistics. |
| Econometric Modelling; Negotiation and Strategy with Game Theory; Corporate Governance. |
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| Evaluation of investment projects (in particular, R&D projects); Capital Budgeting Problems. |
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| Time Series Analysis and Forecasting; Low Dimensional Discrete Dynamical Systems; Symbolic Dynamics and Chaos Theory; Control and Synchronization; Nonlinear and Complex Economical models. |
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| Elizabeth Reis elizabeth.reis@iscte.pt |
Multivariate Statistics and Data Analysis (Environmental behaviour, urban residuals separation and recycling, protected areas visitors segmentation); |
| Algebraic Geometry; Classification of vector bundles: cohomological characterisation, stability, exceptionality. |
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| João Figueira joao.figueira@iscte.pt |
Stochastic Processes; Probability; Mathematical applications to economy and management sciences. |
| José Dias Curto dias.curto@iscte.pt |
Econometrics; Statistics Time Series models; ARCH/GARCH Models; Applications to Finance. |
| Mathematical Models for Natural; Resources. |
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Finite mixture & latent class modelling, Computer intensive & Bayesian methods, Classification & clustering methods, Model selection & dimension, Bootstrap & bagging methods, Generalized linear mixed models, Spatial modelling; Market share modelling & market simulation; |
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| Luís Filipe Martins lfsm@iscte.pt |
Econometrics; Time Series; Applied Econometrics. |
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Manuela Magalhães Hill |
Econometric modelling applied to economics and management; Econometric Time Series; Data Analysis. |
| Stochastic processes; Queues-applications in logistics and unemployment problems; Financial problems with stochastic modelling; Game Theory- theory and applications in strategic management and in natural resources management. |
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| Survey Sampling; Robustness; Estimation Methods. |
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Maria de Fátima Salgueiro |
Graphical Modelling; Latent Variables Models; Structural Equation Modelling; Latent Growth Curve Modelling; Longitudinal Data Analysis. |
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Operational Research; Combinatorial Optimization; Design of Telecommunication Networks; Traveller's Problems. |
| Combinatorial Optimization; Localization Problems; Metaheuristics. |
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| Bayesian Statistics; Forensic Analysis & Applied Probability and Statistics in Forensic Identification Problems; Graphical Models & Use of Graphic Models in Forensic Identification Problems; Decision Theory; Path Models; Path Diagrams and Structural Equations; Models (SEM). |
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| Quantitative Methods in the Statistics and Data Mining Domains; Quantitative methods for segmentation (clustering analysis) and positioning (MDS analysis); Evaluation of unsupervised techniques results: segments structures and positioning. |
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| Time Series and Cointegration; Non-linear Models in Dynamic Systems; Applications in Finance and Management; Regime-Switching Models: Thresholds, Smooth Transitions. |
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Paula Vicente |
Sampling; Survey Methodology; Market and Opinion Polls; Marketing Research. |
| Dynamic Models; Chaos Theory; Chaos Synchronization and Applications; Chaos Control Techniques. |
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Rui Menezes |
Time Series and Cointegration; Switching Regime Models; Kalman Filter Models; Econophysics and Chaos; Applications in Finance; Industrial and Labour Economics. |
| Operator Algebras; Number Theory and Langlands Program; Time series and Algebraic Methods. |
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| Teresa Calapez teresa.calapez@iscte.pt | Multivariate Data Analysis; Statistical study of Variables in Gradate Scales; Nonlinear Principal Components Analysis. |