Master Degree

Contacts

Érica Almeida Postiço

 Ala Autónoma, Gabinete 236

Accreditations

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Accredited
6 Years
31 Jul 2019
Accreditation DGES
Initial registry R/A-Cr 76/2019 de 25-10-2019
Update registry R/A-Cr 76/2019/AL01 de 10-08-2023
Contacts
School of Technology and Architecture
Secreatariat
Sedas Nunes Building (Building I), room 1E07
secretariado.ista @iscte.pt
(+351) 210 464 013
9:30 - 18:00
Iscte Business School
Secretariat
Ala Autónoma, Office 235
ibs@iscte-iul.pt
(+351) 210 464 014
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Lectured in Portuguese
Teaching Type In person
Lectured in Portuguese

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Applications open starting December 16th!

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The Master in Data Science aims to provide its participants with current and rigorous training, allowing them a good theoretical and practical mastery of the latest knowledge in the area, in an interdisciplinary and multidisciplinary perspective, essential to ensure a good insertion in the labor market.

The general objectives of the program are as follows:

 Provide competencies and skills needed to process and analyze big data (Big Data) as well as extract value and knowledge for decision making;

 Develop advanced skills in areas such as Data & amp; Text Mining, Machine Learning and its applications for concrete problems;

 Provide students with research methodologies, procedures, and techniques that enable them to identify, formulate and solve problems (and projects) critically, creatively and autonomously.

Director(s) message

The Master of Science in Data Science aims to fill a gap that has been growing increasingly in the Portuguese business industries (eg., finance, public policy, insurance, fisheries and agriculture, energy, telecommunications, tourism, health). with the challenges inherent in extracting knowledge and value from the huge wealth of data that exists, both in business and on the Internet. Thus, the Master provides advanced training that allows complementing a basic education in areas where Mathematics, Statistics, and Computer Science have been a fundamental pillar, in order to leverage analytical, descriptive and predictive skills in the Master's students to enable advanced and innovative research or application.

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General information

Duration
2 years
Languages
Portuguese
ECTS
120
Schedule
Evening
Teaching Type
In person
Applications
2023-12-18 00:01 - 2024-01-31 17:00
2024-02-01 00:01 - 2024-03-20 17:00
2024-03-21 00:01 - 2024-05-15 17:00
2024-05-16 00:01 - 2024-07-10 17:00
2024-07-11 00:01 - 2024-08-28 17:00
1.stYear 4000.00
2.ndYear 1800.00
1.stYear 5000.00
2.ndYear 2500.00
* Information for 2024/2025
Contacts
School of Technology and Architecture
Secreatariat
Sedas Nunes Building (Building I), room 1E07
secretariado.ista @iscte.pt
(+351) 210 464 013
9:30 - 18:00
Iscte Business School
Secretariat
Ala Autónoma, Office 235
ibs@iscte-iul.pt
(+351) 210 464 014

Note:

Students from outside the EU must pay the whole amount of the tuition fee for each year immediately after enrolment, as payments in instalments are not available.

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