Here is an example of work you can learn to do by attending the Master in Integrated Business Intelligence Systems
The Master in Integrated Decision Support Systems (MSIAD) was created in 2005 to train professional experts in Business Intelligence, manage, specify, implement, and successfully use systems that support the decision processes, properly integrated in the management of organizational information.
Named Entity Recognition for Sensitive Data Discovery in Portuguese
LoBEMS—IoT for Building and Energy Management Systems
Here is an example of work you can learn to do by attending the Master in Integrated Business Intelligence Systems
This work presents the efforts on optimizing energy consumption by deploying an energy management system using the current IoT component/system/platform integration trends through a layered architecture. LoBEMS (LoRa Building and Energy Management System), the proposed platform, was built with the mindset of proving a common platform that would integrate multiple vendor locked-in systems together with custom sensor devices, providing critical data in order to improve overall building efficiency. The actions that led to the energy savings were implemented with a ruleset that would control the already installed air conditioning and lighting control systems. This approach was validated in a kindergarten school during a three-year period, resulting in a publicly available dataset that is useful for future and related research. The sensors that feed environmental data to the custom energy management system are composed by a set of battery operated sensors tied to a System on Chip with a LoRa communication interface. These sensors acquire environmental data such as temperature, humidity, luminosity, air quality but also motion. An already existing energy monitoring solution was also integrated. This flexible approach can easily be deployed to any building facility, including buildings with existing solutions, without requiring any remote automation facilities. The platform includes data visualization templates that create an overall dashboard, allowing management to identify actions that lead to savings using a set of pre-defined actions or even a manual mode if desired. The integration of the multiple systems (air-conditioning, lighting and energy monitoring) is a key differentiator of the proposed solution, especially when the top energy consumers for modern buildings are cooling and heating systems. As an outcome, the evaluation of the proposed platform resulted in a 20% energy saving based on these combined energy saving actions. View Full-Text
Smart Health
Remote monitoring of patients becomes increasingly necessary, especially for patients with chronic diseases, the elderly, and others who need special support. Technology and data science are already sufficiently developed to not only enable remote monitoring but to make real-time decisions based on the extraction of knowledge from captured data. There is a great demand for people specialised in IoT, remote sensing, data mining.
Here is a master's course where you can learn and practice on these subjects.
Pictures from IoT for Smart Cities, Summer School 2020, ISCTE, ISTAR-IUL
João Ferreira, Assistant Professor and Master's Director
Studying abroad
Hello, everyone!
This page is an individual initiative as part of my doctoral research, at #ISTAR, #ISCTE. The theme is the internationalization of higher education. I intend to promote the debate of desires and opinions between those who seek to study abroad and those who have already had experience of internationalization.
Would you please answer the 2 questions below?
Thank you in advance!
Why study at ISCTE?
My interest in ISCTE-IUL began when I met the first students of ISCTE-IUL. I noticed that the materials created by the teachers were, in general, very good and that a lot of care was taken in accompanying the students.
For having such a good idea of ISCTE-IUL, I influenced my daughter to do her higher studies at ISCTE-IUL. She did her bachelor's and master's degrees and finished in 2018/2019, with an average of 16 out of 20, without ever leaving subjects behind and never having needed a tutor. That's why, when I thought about going back to school, it was natural that I went to search ISCTE-IUL's website for the formative offer, which could interest me.
I was interested in the Master in Integrated Business Intelligence Systems (MIBIS) and in the beginning of January 2020 I sent an email to the master's director, professor João Carlos Ferreira, explaining my interest and asking if I would be able to be accepted in that master's course.
His answer was unexpectedly quick and very encouraging. He advised me to prepare my professional CV as complete as possible, because at ISCTE-IUL they also value the professional path of candidates. He suggested that I attend the Internet Things Specialization Seminar for Smart Cities, which would take place in early February. I did so, I followed all his advice and it was proved that he guided me properly, because I was accepted in the master's course, getting second position in the list of places in 1st phase, for the school year 2020/2021.
Since it was the beginning of the semester, even though it was already the 2nd of 2019/2020, once again I sent an email to professor João Carlos Ferreira, telling him that I would like to start attending some classes, if I could, to move forward. The answer came again quickly and with a suggestion of which subjects I could attend without missing the subjects taught in the 1st semester. He also mentioned that I would have to address requests to the respective professors and they would have to give me the requested permission.
It was for that reason that I went to talk with professor Sérgio Moro and, once again, I was pleasantly surprised by the work of ISCTE-IUL teachers. He was the one who told me that I was eligible to apply for a PhD. That same day he was tireless in accompanying me to the ISTA secretariat to ask for information, asking questions to the doctoral director, encouraging me to believe that I would be able to fulfill my dreams of achieve a PhD, be a researcher and teach in higher education.
From that date until April 26, when I submitted my doctoral application, I could always count on the support and quick response to all my doubts, from professors João Carlos Ferreira and Sérgio Moro, who naturally became my PhD advisors.
I am very grateful to ISCTE-IUL and to ISTAR, making this gratitude come true in the professors I have already met and who have supported me, cherishing my dream. I will do everything in my power to repay the trust placed in me, dedicating all my commitment to contribute to the success of ISTAR and ISCTE-IUL. As far as I am concerned, you can count on me.
Maria da Conceição Pereira
Master in Integrated Business Intelligence Systems (MIBIS)
The Master in Integrated Business Intelligence Systems was created in 2005 with the goal of training specialized professionals in Business Intelligence capable of managing, explaining, implementing and successfully using systems that support decision-making procedures integrated into the management of organizational information.
It is a differentiated course focused on an integrated view of Business Intelligence (BI) systems.
Since its creation, the program has continued to be the only option at the national level that integrates the various facets of BI from support to decision-making.
It aims to train professionals with skills in three key areas:
- Data Warehouse systems or analytical information systems;
- Data Mining or knowledge extraction in the areas of data science;
- Strategic BI (with application of balanced scorecard approaches and ABC/ABM-Activity-based costing/Activity-based management).
Alongside the academic component, the program connects its students to actual businesses through the use of real cases in teaching. Students also have the opportunity to obtain Master's scholarships for the realization of applied projects associated with real-world cases in international (H2020) and national research, as well as company sponsorships for the resolution of real-world problems and connection to the Laboratory of Open Data at CMLisboa and the Data of the IoT Laboratory of Iscte.
There is great demand on the part of companies for professionals in BI, and a very limited supply of such professionals. Graduates in BI therefore have a high employability, as demonstrated in their higher-than-average salaries. These trained specialists will play a role of increasing intervention and value-creation in management and innovation processes in the fields of industry, service, and society in general in the coming years.
The Master in Integrated Business Intelligence Systems has also created opportunities in partnership with various companies, including a set of themed workshops. Examples of such workshops: pizza lunches sponsored by Inov on Saturdays under the theme "Tertúlia tec&ciência," with eight sections held in the year 2019:
- 1) Multicriteria Decision Analysis 4 Cybersecurity;
- 2) Dimensional Modeling: In a Business Intelligence Environment;
- 3) ETL and Data Integration: Improving Data Quality and Analytics;
- 4) Big Data Web Applications: Pentaho and UX to the Rescue;
- 5) High Performance Trading;
- 6) Machine Learning 4 Credit Risk;
- 7) Decision Analysis 4 Data Science;
- 8) Multicriteria Methods 4 Data Science
And two more workshops:
- 1) Health Care Workshop held in the JJLaginha auditorium on 30-10-2019;
- 2) Workshop on Intelligent Systems - Auditorium 2 on 18-10-2019.
Management
The Internet of Things' lab (IoT), ISTAR, ISCTE-IUL
See the laboratory where you can learn and practice using sensors to build intelligent systems.
We've all seen or heard of fridges that communicate with the Internet and warn us that they're malfunctioning, even when we're away from home.
We are all familiar with clothes dryers that automatically regulate the drying time according to the humidity they detect in the clothes.
I could go on and on about the intelligent systems (Smart Systems) that exist today, but better than hearing about them is knowing how to design them.
Come and learn with a motivated team, competent teachers and sympathetic to the interests of their students, in one of the best Portuguese universities, ISCTE-IUL.
Come complete your training with the Master in Integrated Decision Support Systems (MSIAD).
Open applications, here!
Don't let the deadline pass or the vacancies finish!
Internet of Things Laboratory (IoT), ISTAR, ISCTE-IUL
MIBIS - Open applications
Want to know more about:
- Internet of Things (IoT)
- Use of sensors of all types
- Capturing information from sensors and social media
- Store captured data in the cloud in real-time
- Clean and structure the data (Data Wharehouse)
- Extracting knowledge from the data
- Design decision support systems (DSS) based on knowledge extraction
and much more on current topics in the field of Artificial Intelligence (AI), Smart Cities, Smart Transportation, Smart Health,..., Smart Anything.
This is the right master's degree to you, grow in knowledge and prepare a future full of good opportunities in a propitious learning environment, with all the support of teachers and colleagues.
Don't miss the deadline!
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