PostGraduate in Smart Cities

Education objectives

The importance of urban intelligence in constructing cities is now an indisputable reality. Smart cities, able to respond in an integrated manner and in real time to different urban challenges, cities that promote inclusive and efficient solutions in the use of resources but that also generate added value and create new markets.

The Postgraduate Program in Smart Cities aims to prepare professionals able to participate in the construction of analytical cities by developing innovative solutions of collection, processing and analysis of city data to promote a better governance in parallel with a more active and participatory citizenship.

With the proposed study plan, this innovative Postgraduate Program is set on a modern structure that combines the several fields that support the information systems of the Smart Cities with the real challenge that the construction entails.

General characterization

DGES code

4968

Cicle

Postgraduate programmes

Degree

None

Access to other programs

Coordinator

Opening date

Vacancies

Fees

Schedule

Teaching language

Degree pre-requisites

Tlo earn the postgraduate program diploma in Smart Cities, students must complete 60 ECTS.

Conditions of admittance

To enter this program, applicants must meet the following requirements: hold a bachelor’s degree in a compatible field (completed by September 2021); be proficient in English (spoken and written).

Evaluation rules

Structure

1º year - Autumn semester
Code	Name	ECTS
400045	Sustainable Cities	7.5
200032	DataBase Management Systems	7.5
400054	Information Technology in Cities Seminar I	3.5
200056	Geographic Information Systems	7.5
Options
200158	Sampling and Estimation	7.5
200001	Data Analysis	7.5
200186	Applied Multivariate Data Analysis	7.5
200159	Life & Non-Life Actuarial Techniques	7.5
200012	Business Intelligence I	7.5
200014	Business Process Management	3.5
200182	Data Privacy and Protection	7.5
200163	Experimental Design	4.0
400082	Digital Analytics	7.5
400020	Information Systems Governance	3.5
400021	Enterprise Cloud Mobility	7.5
200046	Statistics	7.5
200058	Geographic Information Systems Applications	7.5
200060	Geospatial Data Mining	7.5
200064	Geostatistics	7.5
200068	Information Project Management	4.0
200070	Information Technologies Services Management	4.0
200071	Knowledge Management	7.5
200073	Information Systems Management	3.5
200160	Investments and Portfolio Management	7.5
200169	Strategic Marketing	7.5
200087	Data Collection Methods	7.5
200088	Forecasting Methods	3.5
200165	Descriptive Methods of Data Mining	7.5
200092	Quantitative Methods for Marketing - Descriptive Methods	7.5
200101	Banking and Insurance Operations	6.0
200115	Remote Sensing	7.5

1º year - Spring semester
Code	Name	ECTS
400051	Mobile and Ubiquitous Computing	7.5
400049	Information Technology in Cities Seminar II	4.0
400091	Urban Analytics	7.5
Options
200007	Architectures for Information Technology	7.5
200167	Big Data Analytics	7.5
400111	Business Analytics in Tourism	7.5
200135	Cibersecurity	7.5
200170	Consumer Behavior Insights	7.5
400112	Data Science I	7.5
200162	Data Visualization	7.5
400093	Digital Systems for Business	7.5
200172	Marketing Engineering	7.5
200049	Market Research	7.5
200069	Risk Management	7.5
200146	Innovation Management and Design Thinking	7.5
400039	Integrated Management Solutions	7.5
400023	Leadership and People Management	7.5
400110	Management in Hospitality and Tourism	7.5
200171	Marketing Analytics	7.5
200083	Marketing Digital	7.5
200090	Econometrics Methods	7.5
200166	Predictive Methods of Data Mining	7.5
200093	Quantitative Methods for Marketing - Explanatory Methods	7.5
200097	Solvency Models	7.5
400010	Data Collection, Administrative Sources and Big Data	6.0
400027	Search Engine Marketing	7.5
400081	Social Media Analytics	7.5
200168	Text Analytics	7.5
400092	Transformation Methodologies and Solutions	7.5
400091	Urban Analytics	7.5