The Data Science Engineering programme from Instituto Superior Técnico is also intended to initiate students to research in this area, equipping them with the ability to grasp the latest advances and techniques, an aspect of extreme importance, since it is an area of enormous dynamism, with a high rate of innovation, requiring the high refreshability.
This training will also prepare students to pursue a research career, both in academic and research and development groups in Engineering and Data Science, nowadays increasingly common in companies of various dimensions.
- To train specialists with solid competences in a subset of the disciplines that integrate Data Science and Engineering, qualified to address and solve a vast class of problems in data acquisition, management, and processing and in extraction, analysis, and visualization of information.
- To enable students to integrate work teams, which are typically large and with some heterogeneity and multidisciplinarity, including experts with different profiles of expertise.
- To engage students in research in Data Science and Engineering, giving them the ability to grasp the latest advances and techniques and to update their knowledge throughout their professional lives.
- To familiarize students with problems and practical applications, in which techniques and methods of Data Science and Engineering are employed, whether in a business environment, services and industry, or scientific applications.
The interest of companies and organizations (private or public, whether or not for profit) in various topics of Data Science and Engineering has been growing exponentially.
They are well aware of the enormous economic/commercial value of information and its use as a differentiating element among competitors often referred to as business intelligence. Also, the financial sector increasingly uses Data Science and Engineering, not only to support and assist strategic decisions but also in many other applications, from credit assessment to algorithmic trading.
Data Science is also an essential area of modern computer and communications security, and it is clear that only techniques that can handle and analyze the enormous volumes of data flowing in modern communications networks will allow predicting and identifying intrusions and other security threats.
Get more detailsVisit official programme website
- Applications of Data Science and Engineering
- Applied Computational Intelligence
- Artificial Intelligence and Decision Systems
- Audio and Video Communications
- Computability and Complexity
- Computational Statistics
- Cryptography and Communications Security
- Data Analysis and Integration
- Data Coding and Compression
- Decision Support Models
Check out the full curriculumVisit official programme website
- 24 months
Start dates & application deadlines
- Apply before , International
- Deadline passed, National
- Deadline passed, EEA/EU
DisciplinesComputer Sciences Data Science & Big Data Web Technologies & Cloud Computing View 5 other Masters in Data Science & Big Data in Portugal
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We are not aware of any academic requirements for this programme.
We are not aware of any English requirements for this programme.
- If you have completed an undergraduate or an integrated masters (1st study cycle) at Instituto Superior Técnico, even though with no scientific consistency with the course of the 2nd study cycle that you wish to apply to;
- Hold an undergraduate degree (1st study cycle) in the field of Science and Technology (except in the case of the 2nd study cycle in Architecture which requires a 1st study cycle programme in Architecture);
- Hold either an academic, scientific or professional curriculum verifying the capability to complete the master’s programme you are applying to.
Make sure you meet all requirementsVisit official programme website
International7000 EUR/yearTuition FeeBased on the original amount of 7000 EUR per year and a duration of 24 months.
EU/EEA2500 EUR/yearTuition FeeBased on the original amount of 2500 EUR per year and a duration of 24 months.
- 2500 Eur (1st academic year)
- 2500 Eur (2nd academic year)
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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Apply and win up to €10000 to cover your tuition fees.