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 is aimed at those who want to actively participate in this process, particularly in the creation of innovative information systems in the context of urban analytics that take advantage of the latest developments in participatory citizenship, open data, mobile computing and the Internet of Things.

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.

It's aimed at managers, technical staff in public or private sectors, and other professionals that wish to acquire skills and knowledge in information systems for Smart Cities, using the most advanced technologies, data collection, analysis and processing methods.

This program aims to train professionals to take part in the production of innovative IT systems, whether in the data collection and analysis, or designing information systems for Smart Cities.

Applications - academic year 2018-2019
To complete the application, the applicant must register in NOVA IMS' Applications Portal, fill the form, upload their Curriculum Vitae, pay the application fee (€ 51), and submit the application in the end, until August 3rd, 2018. The selection process is based on the analysis of the applicant's academic and professional curriculum.

General characterization

DGES code

4968

Cicle

Postgraduate programmes

Degree

None

Access to other programs

Coordinator

Miguel de Castro Neto

Opening date

Vacancies

Fees

Schedule

Teaching language

Available soon

Degree pre-requisites

To earn the postgraduate program diploma in Smart Cities, students must complete 10 course units, in a total of 60 ECTS. 

Conditions of admittance

The requirements for the applications are: a degree in a compatible field (complete until September 2018); analysis of the applicants' academic and professional curriculum.

Evaluation rules

Structure

1º year - Autumn semester
Code Name ECTS
400045 Sustainable Cities 7.5
200032 DataBase Management Systems 7.5
200056 Ciência e Sistemas de Informação Geográfica 7.5
400054 Information Technology in Cities Seminar I 3.5
Options
200158 Sampling and Estimation 7.5
200001 Data Analysis 7.5
200159 Life & Non-Life Actuarial Techniques 7.5
200145 Big Data Applications 7.5
200012 Business Intelligence I 7.5
200026 Data Mining I 7.5
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
200048 Marketing Strategy and Consumer Behaviour 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
200085 Experiential Marketing 7.5
200087 Data Collection Methods 7.5
200165 Descriptive Methods of Data Mining 7.5
200089 Survey Methods 7.5
200092 Quantitative Methods for Marketing - Descriptive Methods 7.5
200101 Banking and Insurance Operations 7.5
200104 Principles of Financial Management 7.5
200115 Remote Sensing 7.5
200129 Value Quantification Technics 7.5
400029 Web Analytics 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 3.5
200167 Big Data Analytics 7.5
400111 Business Analytics in Tourism 7.5
200013 Business Intelligence II 7.5
200014 Business Process Management 3.5
400042 Business Solutions as a Service 7.5
200135 Cibersecurity 7.5
200170 Consumer Behavior Insights 7.5
200028 Data Mining II 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
400040 Enterprise Mobility Solutions 3.5
200049 Market Research 7.5
200065 Customer Satisfacion and Loyalty Management 7.5
200067 Marketing Management 7.5
200069 Risk Management 7.5
200072 Customer Relationship Management 7.5
200146 Innovation Management and Design Thinking 7.5
400039 Integrated Management Solutions 7.5
400023 Leadership and People Management 6.0
400110 Management in Hospitality and Tourism 7.5
200171 Marketing Analytics 7.5
200083 Marketing Digital 7.5
200088 Forecasting Methods 3.5
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
200121 Decision Support Systems 7.5
400081 Social Media Analytics 7.5
400028 Social Media Intelligence 7.5
200168 Text Analytics 7.5
400092 Transformation Methodologies and Solutions 7.5
400091 Urban Analytics 7.5
200139 Web Marketing and E-Commerce 7.5