NOVA Information Management School

PostGraduate in Smart Cities

Cycle

Curso de Pós-graduação

Degree

Not awarded

ECTS Coordinator

Marco Octávio Trindade Painho, Vítor Manuel Pereira Duarte dos Santos

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 2017/2018
To complete the application, the applicant must register in NOVA IMS' Applications Portal, fill the form, upload their Curriculum Vitae and submit the application in the end, from April 4th to May 11th, 2017. The selection process is based on the analysis of the applicant's academic and professional curriculum, and an interview.

Access conditions

The requirements for the applications are: a degree in a compatible field; analysis of the applicants' academic and professional curriculum; and an interview conducted by the Admissions' Jury Panel.

Degree pre-requisites

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

Access to other courses

Evaluation rules

Structure

1º year - Autumn semester
Code Name ECTS
200032 DataBase Management Systems 7.5
200056 Geographic Information Systems 3.0
400045 Sustainable Cities 7.5
400054 Information Technology in Cities Seminar I 3.5
Options
200001 Data Analysis 7.5
200012 Business Intelligence I 7.5
200026 Data Mining I 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 7.5
200070 Information Technologies Services Management 7.5
200071 Knowledge Management 7.5
200073 Information Systems Management 7.5
200083 Marketing Digital 7.5
200087 Data Collection Methods 7.5
200089 Survey Methods 7.5
200092 Quantitative Methods for Marketing - Descriptive Methods 7.5
200101 Banking and Insurance Operation 7.5
200104 Principles of Financial Management 7.5
200115 Remote Sensing 7.5
200129 Value Quantification Technics 7.5
200139 Web Marketing and E-Commerce 7.5
400020 Information Systems Governance 7.5
400021 Enterprise Cloud Mobility 7.5
400029 Web Analytics 7.5
1º year - Spring semester
Code Name ECTS
400046 City Analytics 7.5
400049 Information Technology in Cities Seminar II 4.0
400051 Mobile and Ubiquitous Computing 7.5
Options
200007 Architectures for Information Technology 7.5
200013 Business Intelligence II 7.5
200014 Business Process Management 7.5
200028 Data Mining II 7.5
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
200085 Experiential Marketing 7.5
200088 Forecasting Methods 7.5
200090 Econometrics Methods 7.5
200093 Quantitative Methods for Marketing - explanatory methods 7.5
200097 Solvency Models 7.5
200121 Decision Support Systems 7.5
200145 Big Data Applications 7.5
200146 Innovation Management and Design Thinking 7.5
400010 Data Collection, Administrative Sources and Big Data 6.0
400023 Leadership and People Management 6.0
400027 Search Engine Marketing 7.5
400028 Social Media Intelligence 7.5
400039 Integrated Management Solutions 7.5
400040 Enterprise Mobility Solutions 7.5
400042 Business Solutions as a Service 7.5