DURATION

2 years

ECTS

120

PLACES

25

REGIME

post-work

DEGREE

master

LANGUAGES

PT

COURSE HIGHLIGHTS

  • High rate of employability

  • Programmatic contents aligned with the business environment

  • Exploration of advanced techniques and models in case studies applied to various domains

The Master in Data Science aims to train specialists in analyzing, interpreting and developing scalable and efficient software based on mathematical and statistical models. In this sense, they will be professionals with robust multidisciplinary knowledge to extract information from data (structured and unstructured), assisting companies in decision making contributing to their competitiveness in the market. These Data Science specialists will have essential skills and competencies to contribute to the development of organizations. They will know how to respond to business needs using technology and rigorous knowledge of specific methodologies and tools. They will be professionals with profiles of both engineers and scientists. There will be a balance between researching and detecting valuable content in data with the reproduction of results through the production of quality code. They will be data scientists with innovation, creativity and interpersonal communication skills.

Publication in Diário da República, 2nd series - N.º 239 - 12 December 2019 - Announcement n.º 202/2019

We live in an era of a massive data explosion and increasing computational capacity with enormous challenges and global competition between businesses. Data Science encompasses the right mechanisms to extract crucial knowledge and give some fundamental understanding of a large amount of data. Analytical actions, personalised approaches, detection of relevant patterns, robust trend generation, automation of knowledge creation, and structural organisation help to improve critical business strategies.
Considering this issue, McKinsey Global Institute has predicted a gap in offer versus searching data scientists. These professionals have specific skills devoted to discovering relevant knowledge using a large amount of data.
University Portucalense (UPT) offers a new cycle of studies with an interdisciplinary program. This program aims to contribute to society and organisational development. It is intrinsically interlinked with economic development, enhancing employability in the computer science area. Data Science is widely recognised as contributing to sustained growth in the 21st century.
This MSc in Data Science comprises highly qualified teaching staff (academic and business professionals). These people's expertise covers the areas of intervention in this cycle of studies, aiming to strengthen higher education and research capacities. The proposed cycle offers an innovative curriculum with transversal competencies, privileges group work using the SCRUM methodology, and training opportunities at the national level in companies and with researchers.

The Data Science Graduate aims to create experts in:

  1. knowing how to extract, process and explore data and;
  2. create descriptive and predictive models by applying statistical methods or using emerging techniques of Deep Learning and Machine Learning.

Data Scientists are highly sought after and valued in the national and international markets, and with this course, students will acquire the theoretical and practical knowledge needed to pursue this career. Some examples include healthcare, public administration, e-commerce and marketing, finance, energy, telecommunications, media, and media.

  • Select and use technologies and programming language appropriate for data analysis;
  • To organize and use large, structured and unstructured data volumes efficiently and securely;
  • To design algorithms to improve the analysis and visualization of data;
  • To identify, use and implement statistical techniques, automatic learning, deep learning and image and text analysis;
  • To design and implement explanatory models of the problem under analysis;
  • To understand what types of problems can be solved with data science (DS);
  • To structure hypotheses, identify metrics and analyze errors;
  • To communicate conclusions and reasoning clearly;
  • To issue judgments in situations of limited or incomplete information, in the DS theme;
  • Experiencing research in the field of DS;
  • To work collaboratively recognizing group interests;
  • To apply research methods autonomously (dissertation);
  • To use project management methods autonomously (project or internship).

This diploma leads to the Master's degree in Data Science (120 ECTS) or, with the completion of the 1st year, the Specialization in Data Science (60 ECTS).

The Master in Data Science aims to train specialists in analyzing, interpreting and developing scalable and efficient software based on mathematical and statistical models. In this sense, they will be professionals with robust multidisciplinary knowledge to extract information from data (structured and unstructured), assisting companies in decision making contributing to their competitiveness in the market. These Data Science specialists will have essential skills and competencies to contribute to the development of organizations. They will know how to respond to business needs using technology and rigorous knowledge of specific methodologies and tools. They will be professionals with profiles of both engineers and scientists. There will be a balance between researching and detecting valuable content in data with the reproduction of results through the production of quality code. They will be data scientists with innovation, creativity and interpersonal communication skills.

Publication in Diário da República, 2nd series - N.º 239 - 12 December 2019 - Announcement n.º 202/2019

We live in an era of a massive data explosion and increasing computational capacity with enormous challenges and global competition between businesses. Data Science encompasses the right mechanisms to extract crucial knowledge and give some fundamental understanding of a large amount of data. Analytical actions, personalised approaches, detection of relevant patterns, robust trend generation, automation of knowledge creation, and structural organisation help to improve critical business strategies.
Considering this issue, McKinsey Global Institute has predicted a gap in offer versus searching data scientists. These professionals have specific skills devoted to discovering relevant knowledge using a large amount of data.
University Portucalense (UPT) offers a new cycle of studies with an interdisciplinary program. This program aims to contribute to society and organisational development. It is intrinsically interlinked with economic development, enhancing employability in the computer science area. Data Science is widely recognised as contributing to sustained growth in the 21st century.
This MSc in Data Science comprises highly qualified teaching staff (academic and business professionals). These people's expertise covers the areas of intervention in this cycle of studies, aiming to strengthen higher education and research capacities. The proposed cycle offers an innovative curriculum with transversal competencies, privileges group work using the SCRUM methodology, and training opportunities at the national level in companies and with researchers.

The Data Science Graduate aims to create experts in:

  1. knowing how to extract, process and explore data and;
  2. create descriptive and predictive models by applying statistical methods or using emerging techniques of Deep Learning and Machine Learning.

Data Scientists are highly sought after and valued in the national and international markets, and with this course, students will acquire the theoretical and practical knowledge needed to pursue this career. Some examples include healthcare, public administration, e-commerce and marketing, finance, energy, telecommunications, media, and media.

  • Select and use technologies and programming language appropriate for data analysis;
  • To organize and use large, structured and unstructured data volumes efficiently and securely;
  • To design algorithms to improve the analysis and visualization of data;
  • To identify, use and implement statistical techniques, automatic learning, deep learning and image and text analysis;
  • To design and implement explanatory models of the problem under analysis;
  • To understand what types of problems can be solved with data science (DS);
  • To structure hypotheses, identify metrics and analyze errors;
  • To communicate conclusions and reasoning clearly;
  • To issue judgments in situations of limited or incomplete information, in the DS theme;
  • Experiencing research in the field of DS;
  • To work collaboratively recognizing group interests;
  • To apply research methods autonomously (dissertation);
  • To use project management methods autonomously (project or internship).

This diploma leads to the Master's degree in Data Science (120 ECTS) or, with the completion of the 1st year, the Specialization in Data Science (60 ECTS).

The Master is organized in 2 semesters that correspond to the curricular structure, plus 1 year dedicated to the preparation, realization and presentation of the defense of a dissertation, or internship report or project work.
The course is equivalent to 60 ECTS for the curricular part and 60 ECTS for the preparation, realization and presentation of the dissertation, or internship report or project work, which makes a total of 120 ECTS credits in the following scientific areas:

The Master is organized in 2 semesters that correspond to the curricular structure, plus 1 year dedicated to the preparation, realization and presentation of the defense of a dissertation, or internship report or project work.
The course is equivalent to 60 ECTS for the curricular part and 60 ECTS for the preparation, realization and presentation of the dissertation, or internship report or project work, which makes a total of 120 ECTS credits in the following scientific areas:

Scientific Areas Compulsory ECTS Optional ECTS
I
Informatics
96
5
MS
Mathematics and Statistics
19

1st year

2nd year

Annual Scientific Areas ECTS
OP - Dissertation
I
60
OP - Internship
I
60
OP - Project
I
60

Note: The optional UCs available will be defined annually by the Department Director.

The Master is organized in 2 semesters that correspond to the curricular structure, plus 1 year dedicated to the preparation, realization and presentation of the defense of a dissertation, or internship report or project work.
The course is equivalent to 60 ECTS for the curricular part and 60 ECTS for the preparation, realization and presentation of the dissertation, or internship report or project work, which makes a total of 120 ECTS credits in the following scientific areas:

The Master is organized in 2 semesters that correspond to the curricular structure, plus 1 year dedicated to the preparation, realization and presentation of the defense of a dissertation, or internship report or project work.
The course is equivalent to 60 ECTS for the curricular part and 60 ECTS for the preparation, realization and presentation of the dissertation, or internship report or project work, which makes a total of 120 ECTS credits in the following scientific areas:

Scientific Areas Compulsory ECTS Optional ECTS
I
Informatics
96
5
MS
Mathematics and Statistics
19

1st year

2nd year

Annual Scientific Areas ECTS
OP - Dissertation
I
60
OP - Internship
I
60
OP - Project
I
60

Note: The optional UCs available will be defined annually by the Department Director.

Bruno Veloso

Coordinator of the Master in Data Science

Carla Santos

Coordinator of the Master in Data Science

DST/ Department of Science and Technology

Master in Data Science
(mest.ciencia_dados@upt.pt)

Bruno Veloso

Coordinator of the Master in Data Science

Carla Santos

Coordinator of the Master in Data Science

Master in Data Science

Master in Data Science
(mest.ciencia_dados@upt.pt)

Applications*

176,00 €

Registration (single act per course)

326,00 €

Insurance

32,00 €

Enrolment

September

Fee waived in the year of enrolment**

February

187,00 €

*Exempt for former students (with degree course completed at UPT)
**Exemption will be applied in February if the student only enrols in the 2nd semester, in the year of enrolment

Within the deadline

Past the deadline

Applications

Exempt

-

Registration (single act per course)

326,00€

-

Enrolment

September

Exempt**

-

February

187,00€

196,00€

**Exemption will occur in February if the student only applies for the 2nd semester in the year of enrolment

Tuition Fee (for 60 ECTS)

11 Installments (September to July)

Monthly

368,20 €

3% discount September

Single

3.928,50 €

Tuition Fee (for 30 ECTS)

5 instalments (September to January or February to June)

Monthly

405,00 €

2% discount September or February

Six-monthly

1.984,50 €

Price per ECTS

13,50 €

Minimum compulsory tuition fee (10 ECTS)

Monthly

135,00 €

Within the Deadline

Past the Deadline

Single Act (1 installment)

July to September

326,00 €

343,00 €

Single Act (2 installments)

September

187,00 €

196,00 €

February

187,00 €

196,00 €

Attendance Fees

50% of the curricular part prices

***Following years, in case of non-completion of the course within 2 years.

Application

176,00 €

Courses in Portuguese language

Registration

326,00 €

Enrolment

187,00 €

Annual Tuition Fee

3.928,50 €

Courses in English language

Annual Tuition Fee

5.200,00 €

Applications*

176,00 €

Registration (single act per course)

326,00 €

Insurance

32,00 €

Enrolment

September

Fee waived in the year of enrolment**

February

187,00 €

*Exempt for former students (with degree course completed at UPT)
**Exemption will be applied in February if the student only enrols in the 2nd semester, in the year of enrolment

Within the deadline

Past the deadline

Applications

Exempt

-

Registration (single act per course)

326,00€

-

Enrolment

September

Exempt**

-

February

187,00€

196,00€

**Exemption will occur in February if the student only applies for the 2nd semester in the year of enrolment

Tuition Fee (for 60 ECTS)

11 Installments (September to July)

Monthly

368,20 €

3% discount September

Single

3.928,50 €

Tuition Fee (for 30 ECTS)

5 instalments (September to January or February to June)

Monthly

405,00 €

2% discount September or February

Six-monthly

1.984,50 €

Price per ECTS

13,50 €

Minimum compulsory tuition fee (10 ECTS)

Monthly

135,00 €

Within the Deadline

Past the Deadline

Single Act (1 installment)

July to September

326,00 €

343,00 €

Single Act (2 installments)

September

187,00 €

196,00 €

February

187,00 €

196,00 €

Attendance Fees

50% of the curricular part prices

***Following years, in case of non-completion of the course within 2 years.

Application

176,00 €

Courses in Portuguese language

Registration

326,00 €

Enrolment

187,00 €

Annual Tuition Fee

3.928,50 €

Courses in English language

Annual Tuition Fee

5.200,00 €

You can apply to the Master in Data Science at UPT:

  1. Holders of a bachelor's degree or legal equivalent, including the possibilities provided for in subparagraphs b), c) and d) of paragraph 1, of Article 17, of the Legal Regime of Academic Degrees and Diplomas of Higher Education, published through Decree-Law No. 74/2006 of March 24, amended by Decree-Law No. 63/2016 of September 13 and amended/republished by Decree-Law No. 65/2018 of August 16. Candidates holding foreign qualifications should consult the regulations in force.
  2. Candidates must demonstrate basic academic training considered sufficient to follow the course; otherwise the Technical-Scientific Committee of the department may determine the completion of complementary curricular units, existing in the Department of Science and Technology.
  3. The selection and seriation criteria are set out in the University of Portucalense's Regulation of Studies Leading to the Degree of Master of the University of Portucalense and in the Regulatory Norms of the course.

Candidates for access to the 2nd study cycle in Data Science are ranked on the basis of merit according to the weighted average, as per Annex II, of the Regulatory Norms for the 2nd cycle in Data Science. 

1st Phase Beginning End
Applications to the 1st phase
4th April
20th May
Display of results
27th May
Claims
27th Mayo
30th May
2nd Phase Beginning End
Applications to the 2nd Phase
30th May
22nd July
Display of Results
29th July
Claims
29th July
2nd August
Registrations and Enrolments for the 1st and 2nd Phase
2nd August
16th August
3rd Phase Beginning End
Applications for the 3rd Phase
2nd August
29 setembro
Display of results
6th October
Claims
6th October
7th October
Registrations and Enrolments
7th October
14th October
4th Phase Beginning End
Applications for th 4th phase
11th October
21st October
Display of results
Until 28th October
Claims
28th October
29th October
Registrations and Enrolments
3rd November
7th November
5th Phase Beginning End
Applications for th 5th phase
8th November
17th November
Display of results
Until 23rd November
Claims
23rd November
24th November
Registrations and Enrolments
24th November
30th November

2ND STUDY CYCLE
  • Holders of the licenciado degree or legal equivalent;
  • Holders of a foreign academic degree conferred following a 1st cycle of studies organized according to the principles of the Bologna process by a state that adheres to that process;
  • Holders of a foreign academic degree that is recognized as meeting the objectives of the degree of licenciado by the Scientific Council of the Universidade Portucalense;
  • Holders of an academic, scientific or professional curriculum which is recognized by the Scientific Council of the University of Portucalense as attesting to their ability to undertake this cycle of studies.

Given their academic and professional background, candidates may submit a request for Application for Recognition and Accreditation of Competences, which may confer equivalence to course units of the Master's course. Holders of Pre-Bologna licenciado degree who have more than 5 years of professional experience in the area of the master's degree may request the substitution of the dissertation by a detailed report on the professional activity according to the regulations in force.

  • identification document
  • passport-type photo
  • documents proving academic qualifications (notarized photocopies)
  • updated CV

  • Own Model, Acknowledgement that the academic degree satisfies the objectives of the degree of licenciado, for the purposes of application to a master's course, requesting prior recognition by the Scientific Council of the access qualification
    Identification document
    Photograph, passport type
    Document proving the possession of the foreign higher academic degree with an indication of the final mark (*)
    Detailed certificate of the course units that make up the curricular plan of the academic degree (*)
    Updated CV

    (*) The documents must be translated into Portuguese, whenever they are not issued in Portuguese, English, French or Spanish and stamped by the consular service or presented with the Haia Apostille affixed by the competent authority of the State where the document originated.

According to the new Portaria nº 181-D/2015 of 19 June, the change of course and transfer has been replaced by a single scheme called "change of institution/course pair".

The change of institution/course pair is not allowed in the academic year in which the student has been placed in a higher education institution/course pair under any access and entry regime and has enrolled and registered.

The change of institution/course pair and the re-entry are requested to the Academic Services Office, using the appropriate form.

  • Application form, duly filled out;

  • Identification document;

  • Photograph, passport type;

  • Original or certified copy of the document proving enrolment at the home school (except for UPT candidates) (*);

If you wish to apply for equivalences:

(*) These documents must be authenticated according to the legislation in force (Decreto-lei 28 de 13/03/2000).

For information about the application process please refer to the relevant regulations below or contact our Admissions Office directly. For pedagogical/scientific information please consult the course coordinators:

1st Phase Beginning End
Applications to the 1st phase
4th April
20th May
Display of results
27th May
Claims
27th Mayo
30th May
2nd Phase Beginning End
Applications to the 2nd Phase
30th May
22nd July
Display of Results
29th July
Claims
29th July
2nd August
Registrations and Enrolments for the 1st and 2nd Phase
2nd August
16th August
3rd Phase Beginning End
Applications for the 3rd Phase
2nd August
29 setembro
Display of results
6th October
Claims
6th October
7th October
Registrations and Enrolments
7th October
14th October
4th Phase Beginning End
Applications for th 4th phase
11th October
21st October
Display of results
Until 28th October
Claims
28th October
29th October
Registrations and Enrolments
3rd November
7th November
5th Phase Beginning End
Applications for th 5th phase
8th November
17th November
Display of results
Until 23rd November
Claims
23rd November
24th November
Registrations and Enrolments
24th November
30th November

2ND STUDY CYCLE
  • Holders of the licenciado degree or legal equivalent;
  • Holders of a foreign academic degree conferred following a 1st cycle of studies organized according to the principles of the Bologna process by a state that adheres to that process;
  • Holders of a foreign academic degree that is recognized as meeting the objectives of the degree of licenciado by the Scientific Council of the Universidade Portucalense;
  • Holders of an academic, scientific or professional curriculum which is recognized by the Scientific Council of the University of Portucalense as attesting to their ability to undertake this cycle of studies.

Given their academic and professional background, candidates may submit a request for Application for Recognition and Accreditation of Competences, which may confer equivalence to course units of the Master's course. Holders of Pre-Bologna licenciado degree who have more than 5 years of professional experience in the area of the master's degree may request the substitution of the dissertation by a detailed report on the professional activity according to the regulations in force.

  • identification document
  • passport-type photo
  • documents proving academic qualifications (notarized photocopies)
  • updated CV

  • Own Model, Acknowledgement that the academic degree satisfies the objectives of the degree of licenciado, for the purposes of application to a master's course, requesting prior recognition by the Scientific Council of the access qualification
    Identification document
    Photograph, passport type
    Document proving the possession of the foreign higher academic degree with an indication of the final mark (*)
    Detailed certificate of the course units that make up the curricular plan of the academic degree (*)
    Updated CV

    (*) The documents must be translated into Portuguese, whenever they are not issued in Portuguese, English, French or Spanish and stamped by the consular service or presented with the Haia Apostille affixed by the competent authority of the State where the document originated.

According to the new Portaria nº 181-D/2015 of 19 June, the change of course and transfer has been replaced by a single scheme called "change of institution/course pair".

The change of institution/course pair is not allowed in the academic year in which the student has been placed in a higher education institution/course pair under any access and entry regime and has enrolled and registered.

The change of institution/course pair and the re-entry are requested to the Academic Services Office, using the appropriate form.

  • Application form, duly filled out;

  • Identification document;

  • Photograph, passport type;

  • Original or certified copy of the document proving enrolment at the home school (except for UPT candidates) (*);

If you wish to apply for equivalences:

(*) These documents must be authenticated according to the legislation in force (Decreto-lei 28 de 13/03/2000).

For information about the application process please refer to the relevant regulations below or contact our Admissions Office directly. For pedagogical/scientific information please consult the course coordinators:

Admission Office

Enquiries regarding the application can be made by:
email (ingresso@upt.pt) or
Phone (800 270 201 )

Admission Office

Enquiries regarding the application can be made by:
email (ingresso@upt.pt) or
Phone (800 270 201 )

Applications*

176,00 €

Registration (single act per course)

326,00 €

Insurance

32,00 €

Enrolment

September

Fee waived in the year of enrolment**

February

187,00 €

*Exempt for former students (with degree course completed at UPT)
**Exemption will be applied in February if the student only enrols in the 2nd semester, in the year of enrolment

Within the deadline

Past the deadline

Applications

Exempt

-

Registration (single act per course)

326,00€

-

Enrolment

September

Exempt**

-

February

187,00€

196,00€

**Exemption will occur in February if the student only applies for the 2nd semester in the year of enrolment

Tuition Fee (for 60 ECTS)

11 Installments (September to July)

Monthly

368,20 €

3% discount September

Single

3.928,50 €

Tuition Fee (for 30 ECTS)

5 instalments (September to January or February to June)

Monthly

405,00 €

2% discount September or February

Six-monthly

1.984,50 €

Price per ECTS

13,50 €

Minimum compulsory tuition fee (10 ECTS)

Monthly

135,00 €

Within the Deadline

Past the Deadline

Single Act (1 installment)

July to September

326,00 €

343,00 €

Single Act (2 installments)

September

187,00 €

196,00 €

February

187,00 €

196,00 €

Attendance Fees

50% of the curricular part prices

***Following years, in case of non-completion of the course within 2 years.

Application

176,00 €

Courses in Portuguese language

Registration

326,00 €

Enrolment

187,00 €

Annual Tuition Fee

3.928,50 €

Courses in English language

Annual Tuition Fee

5.200,00 €

Applications*

176,00 €

Registration (single act per course)

326,00 €

Insurance

32,00 €

Enrolment

September

Fee waived in the year of enrolment**

February

187,00 €

*Exempt for former students (with degree course completed at UPT)
**Exemption will be applied in February if the student only enrols in the 2nd semester, in the year of enrolment

Within the deadline

Past the deadline

Applications

Exempt

-

Registration (single act per course)

326,00€

-

Enrolment

September

Exempt**

-

February

187,00€

196,00€

**Exemption will occur in February if the student only applies for the 2nd semester in the year of enrolment

Tuition Fee (for 60 ECTS)

11 Installments (September to July)

Monthly

368,20 €

3% discount September

Single

3.928,50 €

Tuition Fee (for 30 ECTS)

5 instalments (September to January or February to June)

Monthly

405,00 €

2% discount September or February

Six-monthly

1.984,50 €

Price per ECTS

13,50 €

Minimum compulsory tuition fee (10 ECTS)

Monthly

135,00 €

Within the Deadline

Past the Deadline

Single Act (1 installment)

July to September

326,00 €

343,00 €

Single Act (2 installments)

September

187,00 €

196,00 €

February

187,00 €

196,00 €

Attendance Fees

50% of the curricular part prices

***Following years, in case of non-completion of the course within 2 years.

Application

176,00 €

Courses in Portuguese language

Registration

326,00 €

Enrolment

187,00 €

Annual Tuition Fee

3.928,50 €

Courses in English language

Annual Tuition Fee

5.200,00 €

You can apply to the Master in Data Science at UPT:

  1. Holders of a bachelor's degree or legal equivalent, including the possibilities provided for in subparagraphs b), c) and d) of paragraph 1, of Article 17, of the Legal Regime of Academic Degrees and Diplomas of Higher Education, published through Decree-Law No. 74/2006 of March 24, amended by Decree-Law No. 63/2016 of September 13 and amended/republished by Decree-Law No. 65/2018 of August 16. Candidates holding foreign qualifications should consult the regulations in force.
  2. Candidates must demonstrate basic academic training considered sufficient to follow the course; otherwise the Technical-Scientific Committee of the department may determine the completion of complementary curricular units, existing in the Department of Science and Technology.
  3. The selection and seriation criteria are set out in the University of Portucalense's Regulation of Studies Leading to the Degree of Master of the University of Portucalense and in the Regulatory Norms of the course.

Candidates for access to the 2nd study cycle in Data Science are ranked on the basis of merit according to the weighted average, as per Annex II, of the Regulatory Norms for the 2nd cycle in Data Science. 

1st Phase Beginning End
Applications to the 1st phase
4th April
20th May
Display of results
27th May
Claims
27th Mayo
30th May
2nd Phase Beginning End
Applications to the 2nd Phase
30th May
22nd July
Display of Results
29th July
Claims
29th July
2nd August
Registrations and Enrolments for the 1st and 2nd Phase
2nd August
16th August
3rd Phase Beginning End
Applications for the 3rd Phase
2nd August
29 setembro
Display of results
6th October
Claims
6th October
7th October
Registrations and Enrolments
7th October
14th October
4th Phase Beginning End
Applications for th 4th phase
11th October
21st October
Display of results
Until 28th October
Claims
28th October
29th October
Registrations and Enrolments
3rd November
7th November
5th Phase Beginning End
Applications for th 5th phase
8th November
17th November
Display of results
Until 23rd November
Claims
23rd November
24th November
Registrations and Enrolments
24th November
30th November

2ND STUDY CYCLE
  • Holders of the licenciado degree or legal equivalent;
  • Holders of a foreign academic degree conferred following a 1st cycle of studies organized according to the principles of the Bologna process by a state that adheres to that process;
  • Holders of a foreign academic degree that is recognized as meeting the objectives of the degree of licenciado by the Scientific Council of the Universidade Portucalense;
  • Holders of an academic, scientific or professional curriculum which is recognized by the Scientific Council of the University of Portucalense as attesting to their ability to undertake this cycle of studies.

Given their academic and professional background, candidates may submit a request for Application for Recognition and Accreditation of Competences, which may confer equivalence to course units of the Master's course. Holders of Pre-Bologna licenciado degree who have more than 5 years of professional experience in the area of the master's degree may request the substitution of the dissertation by a detailed report on the professional activity according to the regulations in force.

  • identification document
  • passport-type photo
  • documents proving academic qualifications (notarized photocopies)
  • updated CV

  • Own Model, Acknowledgement that the academic degree satisfies the objectives of the degree of licenciado, for the purposes of application to a master's course, requesting prior recognition by the Scientific Council of the access qualification
    Identification document
    Photograph, passport type
    Document proving the possession of the foreign higher academic degree with an indication of the final mark (*)
    Detailed certificate of the course units that make up the curricular plan of the academic degree (*)
    Updated CV

    (*) The documents must be translated into Portuguese, whenever they are not issued in Portuguese, English, French or Spanish and stamped by the consular service or presented with the Haia Apostille affixed by the competent authority of the State where the document originated.

According to the new Portaria nº 181-D/2015 of 19 June, the change of course and transfer has been replaced by a single scheme called "change of institution/course pair".

The change of institution/course pair is not allowed in the academic year in which the student has been placed in a higher education institution/course pair under any access and entry regime and has enrolled and registered.

The change of institution/course pair and the re-entry are requested to the Academic Services Office, using the appropriate form.

  • Application form, duly filled out;

  • Identification document;

  • Photograph, passport type;

  • Original or certified copy of the document proving enrolment at the home school (except for UPT candidates) (*);

If you wish to apply for equivalences:

(*) These documents must be authenticated according to the legislation in force (Decreto-lei 28 de 13/03/2000).

For information about the application process please refer to the relevant regulations below or contact our Admissions Office directly. For pedagogical/scientific information please consult the course coordinators:

1st Phase Beginning End
Applications to the 1st phase
4th April
20th May
Display of results
27th May
Claims
27th Mayo
30th May
2nd Phase Beginning End
Applications to the 2nd Phase
30th May
22nd July
Display of Results
29th July
Claims
29th July
2nd August
Registrations and Enrolments for the 1st and 2nd Phase
2nd August
16th August
3rd Phase Beginning End
Applications for the 3rd Phase
2nd August
29 setembro
Display of results
6th October
Claims
6th October
7th October
Registrations and Enrolments
7th October
14th October
4th Phase Beginning End
Applications for th 4th phase
11th October
21st October
Display of results
Until 28th October
Claims
28th October
29th October
Registrations and Enrolments
3rd November
7th November
5th Phase Beginning End
Applications for th 5th phase
8th November
17th November
Display of results
Until 23rd November
Claims
23rd November
24th November
Registrations and Enrolments
24th November
30th November

2ND STUDY CYCLE
  • Holders of the licenciado degree or legal equivalent;
  • Holders of a foreign academic degree conferred following a 1st cycle of studies organized according to the principles of the Bologna process by a state that adheres to that process;
  • Holders of a foreign academic degree that is recognized as meeting the objectives of the degree of licenciado by the Scientific Council of the Universidade Portucalense;
  • Holders of an academic, scientific or professional curriculum which is recognized by the Scientific Council of the University of Portucalense as attesting to their ability to undertake this cycle of studies.

Given their academic and professional background, candidates may submit a request for Application for Recognition and Accreditation of Competences, which may confer equivalence to course units of the Master's course. Holders of Pre-Bologna licenciado degree who have more than 5 years of professional experience in the area of the master's degree may request the substitution of the dissertation by a detailed report on the professional activity according to the regulations in force.

  • identification document
  • passport-type photo
  • documents proving academic qualifications (notarized photocopies)
  • updated CV

  • Own Model, Acknowledgement that the academic degree satisfies the objectives of the degree of licenciado, for the purposes of application to a master's course, requesting prior recognition by the Scientific Council of the access qualification
    Identification document
    Photograph, passport type
    Document proving the possession of the foreign higher academic degree with an indication of the final mark (*)
    Detailed certificate of the course units that make up the curricular plan of the academic degree (*)
    Updated CV

    (*) The documents must be translated into Portuguese, whenever they are not issued in Portuguese, English, French or Spanish and stamped by the consular service or presented with the Haia Apostille affixed by the competent authority of the State where the document originated.

According to the new Portaria nº 181-D/2015 of 19 June, the change of course and transfer has been replaced by a single scheme called "change of institution/course pair".

The change of institution/course pair is not allowed in the academic year in which the student has been placed in a higher education institution/course pair under any access and entry regime and has enrolled and registered.

The change of institution/course pair and the re-entry are requested to the Academic Services Office, using the appropriate form.

  • Application form, duly filled out;

  • Identification document;

  • Photograph, passport type;

  • Original or certified copy of the document proving enrolment at the home school (except for UPT candidates) (*);

If you wish to apply for equivalences:

(*) These documents must be authenticated according to the legislation in force (Decreto-lei 28 de 13/03/2000).

For information about the application process please refer to the relevant regulations below or contact our Admissions Office directly. For pedagogical/scientific information please consult the course coordinators:

Admission Office

Enquiries regarding the application can be made by:
email (ingresso@upt.pt) or
Phone (800 270 201 )

Admission Office

Enquiries regarding the application can be made by:
email (ingresso@upt.pt) or
Phone (800 270 201 )

PARTNERSHIPS

DURATION

2 years

ECTS

180

PLACES

25

REGIME

Post-work

DEGREE

master

LANGUAGES

PT

COURSE HIGHLIGHTS

  • High rate of employability

  • Programmatic contents aligned with the business environment

  • Exploration of advanced techniques and models in case studies applied to various domains

The Master in Data Science aims to train specialists in analyzing, interpreting and developing scalable and efficient software based on mathematical and statistical models. In this sense, they will be professionals with robust multidisciplinary knowledge to extract information from data (structured and unstructured), assisting companies in decision making contributing to their competitiveness in the market. These Data Science specialists will have essential skills and competencies to contribute to the development of organizations. They will know how to respond to business needs using technology and rigorous knowledge of specific methodologies and tools. They will be professionals with profiles of both engineers and scientists. There will be a balance between researching and detecting valuable content in data with the reproduction of results through the production of quality code. They will be data scientists with innovation, creativity and interpersonal communication skills.

Publication in Diário da República, 2nd series - N.º 239 - 12 December 2019 - Announcement n.º 202/2019

We live in an era of a massive data explosion and increasing computational capacity with enormous challenges and global competition between businesses. Data Science encompasses the right mechanisms to extract crucial knowledge and give some fundamental understanding of a large amount of data. Analytical actions, personalised approaches, detection of relevant patterns, robust trend generation, automation of knowledge creation, and structural organisation help to improve critical business strategies.
Considering this issue, McKinsey Global Institute has predicted a gap in offer versus searching data scientists. These professionals have specific skills devoted to discovering relevant knowledge using a large amount of data.
University Portucalense (UPT) offers a new cycle of studies with an interdisciplinary program. This program aims to contribute to society and organisational development. It is intrinsically interlinked with economic development, enhancing employability in the computer science area. Data Science is widely recognised as contributing to sustained growth in the 21st century.
This MSc in Data Science comprises highly qualified teaching staff (academic and business professionals). These people's expertise covers the areas of intervention in this cycle of studies, aiming to strengthen higher education and research capacities. The proposed cycle offers an innovative curriculum with transversal competencies, privileges group work using the SCRUM methodology, and training opportunities at the national level in companies and with researchers.

The Data Science Graduate aims to create experts in:

  1. knowing how to extract, process and explore data and;
  2. create descriptive and predictive models by applying statistical methods or using emerging techniques of Deep Learning and Machine Learning.

Data Scientists are highly sought after and valued in the national and international markets, and with this course, students will acquire the theoretical and practical knowledge needed to pursue this career. Some examples include healthcare, public administration, e-commerce and marketing, finance, energy, telecommunications, media, and media.

  • Select and use technologies and programming language appropriate for data analysis;
  • To organize and use large, structured and unstructured data volumes efficiently and securely;
  • To design algorithms to improve the analysis and visualization of data;
  • To identify, use and implement statistical techniques, automatic learning, deep learning and image and text analysis;
  • To design and implement explanatory models of the problem under analysis;
  • To understand what types of problems can be solved with data science (DS);
  • To structure hypotheses, identify metrics and analyze errors;
  • To communicate conclusions and reasoning clearly;
  • To issue judgments in situations of limited or incomplete information, in the DS theme;
  • Experiencing research in the field of DS;
  • To work collaboratively recognizing group interests;
  • To apply research methods autonomously (dissertation);
  • To use project management methods autonomously (project or internship).

This diploma leads to the Master's degree in Data Science (120 ECTS) or, with the completion of the 1st year, the Specialization in Data Science (60 ECTS).

The Master in Data Science aims to train specialists in analyzing, interpreting and developing scalable and efficient software based on mathematical and statistical models. In this sense, they will be professionals with robust multidisciplinary knowledge to extract information from data (structured and unstructured), assisting companies in decision making contributing to their competitiveness in the market. These Data Science specialists will have essential skills and competencies to contribute to the development of organizations. They will know how to respond to business needs using technology and rigorous knowledge of specific methodologies and tools. They will be professionals with profiles of both engineers and scientists. There will be a balance between researching and detecting valuable content in data with the reproduction of results through the production of quality code. They will be data scientists with innovation, creativity and interpersonal communication skills.

Publication in Diário da República, 2nd series - N.º 239 - 12 December 2019 - Announcement n.º 202/2019

We live in an era of a massive data explosion and increasing computational capacity with enormous challenges and global competition between businesses. Data Science encompasses the right mechanisms to extract crucial knowledge and give some fundamental understanding of a large amount of data. Analytical actions, personalised approaches, detection of relevant patterns, robust trend generation, automation of knowledge creation, and structural organisation help to improve critical business strategies.
Considering this issue, McKinsey Global Institute has predicted a gap in offer versus searching data scientists. These professionals have specific skills devoted to discovering relevant knowledge using a large amount of data.
University Portucalense (UPT) offers a new cycle of studies with an interdisciplinary program. This program aims to contribute to society and organisational development. It is intrinsically interlinked with economic development, enhancing employability in the computer science area. Data Science is widely recognised as contributing to sustained growth in the 21st century.
This MSc in Data Science comprises highly qualified teaching staff (academic and business professionals). These people's expertise covers the areas of intervention in this cycle of studies, aiming to strengthen higher education and research capacities. The proposed cycle offers an innovative curriculum with transversal competencies, privileges group work using the SCRUM methodology, and training opportunities at the national level in companies and with researchers.

The Data Science Graduate aims to create experts in:

  1. knowing how to extract, process and explore data and;
  2. create descriptive and predictive models by applying statistical methods or using emerging techniques of Deep Learning and Machine Learning.

Data Scientists are highly sought after and valued in the national and international markets, and with this course, students will acquire the theoretical and practical knowledge needed to pursue this career. Some examples include healthcare, public administration, e-commerce and marketing, finance, energy, telecommunications, media, and media.

  • Select and use technologies and programming language appropriate for data analysis;
  • To organize and use large, structured and unstructured data volumes efficiently and securely;
  • To design algorithms to improve the analysis and visualization of data;
  • To identify, use and implement statistical techniques, automatic learning, deep learning and image and text analysis;
  • To design and implement explanatory models of the problem under analysis;
  • To understand what types of problems can be solved with data science (DS);
  • To structure hypotheses, identify metrics and analyze errors;
  • To communicate conclusions and reasoning clearly;
  • To issue judgments in situations of limited or incomplete information, in the DS theme;
  • Experiencing research in the field of DS;
  • To work collaboratively recognizing group interests;
  • To apply research methods autonomously (dissertation);
  • To use project management methods autonomously (project or internship).

This diploma leads to the Master's degree in Data Science (120 ECTS) or, with the completion of the 1st year, the Specialization in Data Science (60 ECTS).

The Master is organized in 2 semesters that correspond to the curricular structure, plus 1 year dedicated to the preparation, realization and presentation of the defense of a dissertation, or internship report or project work.
The course is equivalent to 60 ECTS for the curricular part and 60 ECTS for the preparation, realization and presentation of the dissertation, or internship report or project work, which makes a total of 120 ECTS credits in the following scientific areas:

The Master is organized in 2 semesters that correspond to the curricular structure, plus 1 year dedicated to the preparation, realization and presentation of the defense of a dissertation, or internship report or project work.
The course is equivalent to 60 ECTS for the curricular part and 60 ECTS for the preparation, realization and presentation of the dissertation, or internship report or project work, which makes a total of 120 ECTS credits in the following scientific areas:

Scientific Areas Compulsory ECTS Optional ECTS
I
Informatics
96
5
MS
Mathematics and Statistics
19

1st year

2nd year

Annual Scientific Areas ECTS
OP - Dissertation
I
60
OP - Internship
I
60
OP - Project
I
60

Note: The optional UCs available will be defined annually by the Department Director.

The Master is organized in 2 semesters that correspond to the curricular structure, plus 1 year dedicated to the preparation, realization and presentation of the defense of a dissertation, or internship report or project work.
The course is equivalent to 60 ECTS for the curricular part and 60 ECTS for the preparation, realization and presentation of the dissertation, or internship report or project work, which makes a total of 120 ECTS credits in the following scientific areas:

The Master is organized in 2 semesters that correspond to the curricular structure, plus 1 year dedicated to the preparation, realization and presentation of the defense of a dissertation, or internship report or project work.
The course is equivalent to 60 ECTS for the curricular part and 60 ECTS for the preparation, realization and presentation of the dissertation, or internship report or project work, which makes a total of 120 ECTS credits in the following scientific areas:

Scientific Areas Compulsory ECTS Optional ECTS
I
Informatics
96
5
MS
Mathematics and Statistics
19