Programme Overview
Data Science has become essential in several areas, from the financial sector to computer and communications security, due to its importance in the analysis and interpretation of huge volumes of data. The interest of companies and organisations in various topics of Data Science and Engineering has been growing exponentially. Business recognizes the enormous economic and commercial value of information and its use as a differentiating element between competitors. Data Science thus supports strategic decisions and can even assist credit rating and algorithm-based stock exchange transactions.
Programme Structure
The 2nd Cycle in Data Science and Engineering has a duration of 4 semesters (2 years), equivalent to 120 ECTS. The structure is depicted below.
Note: The curriculum distribution, which is shown over the two years, may be different according to the optional modules chosen.
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1st year (ECTS)
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60
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2nd year (ECTS)
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12
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18
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30
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Core Structure (72 ECTS)
The Master in Engineering and Data Science (Major) deepens knowledge in subjects such as Machine Learning, Algorithms, Databases, Statistics, Computing, Data Analysis, and others.
Four courses are offered in the common core of the course:
- One subject from the Electrotechnology and Computers Group (a choice of two)
- One subject from the Computer Science Group (choice of two)
- One subject from the Mathematics Group (choice of two)
- Applications in Engineering and Data Science
The remaining subjects are optional among a long list of courses in the Computer Science, Electrical Engineering and Mathematics areas, which also includes some courses in Industrial Management and Bioengineering.
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Free options (18 ECTS)
Part of the curriculum is of fully free choice, i.e., students may choose modules not only in Data Science, but also in any other scientific field offered by Técnico.
This component includes the possibility of taking a Minor – a number of multidisciplinary modules – which equals 18 ECTS credits. The offer cuts across all programmes offered by Técnico.
Extra-curricular activities may also be credited, to a maximum of 6 ECTS credit points.
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Dissertation (30 ECTS)
The dissertation is the final assignment of the study cycle, which allows students to focus and specialise on a specific subject that may take any of these formats:
- Scientific thesis
- Internship at a company
Target Audience
The MSc in Engineering and Data Science is intended for graduates in mathematics, statistics, engineering, finance, economics or management, and related fields, provided they have basic training in statistics, algebra and programming.
The programme is taught in Portuguese however may there be international or mobility students enrolled, the curricular units will be taught in English.
Career Opportunities
Graduates in Engineering and Data Science can work in various sectors of industry or services such as telecommunications, computing, electronics, energy, health, transportation, banking and insurance, consulting and even in areas related to social sciences. Graduates in this area can work in any activity that deals with, analyzes and handles large volumes of data for better decision making. Research or entrepreneurship are also possible paths after completing the course.
Entry requirements
To apply for a 2nd Cycle at Técnico you should:
- hold a 1st cycle degree in Science and Technology (except in the case of the 2nd cycle in Architecture, which requires a 1st cycle degree in Architecture);
- hold an academic, scientific or professional curriculum that certifies their ability to do the MSc programme which they apply for.
Candidates are selected according to these criteria:
- affinity between the degree they hold and the programme they apply for;
- type of degree they hold;
- academic success in the programme they attended.
Note: if requested, we may appreciate the academic, scientific or professional curriculum and the candidate’s performance during the interview.
Students' Organisations
Técnico students autonomously and proactively stimulate projects that complement their academic background. For example, the Students’ Organisations provide them with skills and added value making them more competitive in the labour market.
