Data Science
- Details
- Category: Bachelor
- 469
- EN
- p5974@ismat.pt
- tiago.candeias@ismat.pt
- Tiago Candeias
- https://www.a3es.pt/pt/resultados-acreditacao/ciencia-de-dados-3
Application through the institutional access competition, with a pass in one of the following sets of entrance exams:
16 Maths 04 Economics or 16 Maths 07 Physics and Chemistry or 16 Maths 18 Portuguese or 10 Descriptive Geometry 16 Maths or 13 English 16 Maths or 09 Geography 16 MathsApplication via: Change of institution/course pair; Special Competition (holders of higher education courses, holders of CETs, holders of CTSPs, Over 23s, holders of dual certification courses); International Student Status.
Application for the International Student Status.
- A degree in Data Science allows you to quickly enter the job market in professions such as: - Data Scientist; - Data Analyst; - Data Engineer; - Machine Learning Engineer; - Business Intelligence Specialist; - Big Data Specialist; - Statistician. These professionals are sought after by public and private organizations in a wide range of areas, such as finance, insurance, telecommunications, commerce, industry, health, tourism and transport. The growing demand for Data Science professionals and the shortage of professionals means that they are highly sought-after and well-paid, leading the rankings of emerging professions. According to "The Future of Jobs Report 2020" drawn up by the Word Economic Forum, data scientists and analysts occupy the top position in this ranking. Considering salary, job satisfaction and job openings, the data scientist profession was ranked by glassdoor as the best in the US from 2016 to 2019 and continues to occupy one of the top 3 positions from 2020 to 2022. The course also provides solid training for those wishing to continue their studies towards a Master's degree and/or PhD in an area related to Data Science.
- Bachelor
- Acreditado
- 1
- SILVIA MARIA DIAS PEDRO REBOUÇAS
- Presencial
- Matemática e estatística - programasnão classificados noutra área de formação
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Application through the institutional access competition, with a pass in one of the following sets of entrance exams:<\/p>\r\n\r\n16 Maths\r\n04 Economics\r\nor\r\n16 Maths\r\n07 Physics and Chemistry \r\nor\r\n16 Maths\r\n18 Portuguese\r\n\r\nor\r\n10 Descriptive Geometry\r\n16 Maths\r\nor\r\n13 English\r\n16 Maths\r\nor \r\n09 Geography\r\n16 Maths\r\n\r\n\r\n
Application via: Change of institution\/course pair; Special Competition (holders of higher education courses, holders of CETs, holders of CTSPs, Over 23s, holders of dual certification courses); International Student Status.<\/p>
Application for the International Student Status.","careerOportunities":"A degree in Data Science allows you to quickly enter the job market in professions such as:\r\n\r\n- Data Scientist;\r\n- Data Analyst;\r\n- Data Engineer;\r\n- Machine Learning Engineer;\r\n- Business Intelligence Specialist; \r\n- Big Data Specialist; \r\n- Statistician.\r\n\r\n\r\nThese professionals are sought after by public and private organizations in a wide range of areas, such as finance, insurance, telecommunications, commerce, industry, health, tourism and transport.\r\n\r\nThe growing demand for Data Science professionals and the shortage of professionals means that they are highly sought-after and well-paid, leading the rankings of emerging professions. According to \"The Future of Jobs Report 2020\" drawn up by the Word Economic Forum, data scientists and analysts occupy the top position in this ranking.\r\n\r\nConsidering salary, job satisfaction and job openings, the data scientist profession was ranked by glassdoor as the best in the US from 2016 to 2019 and continues to occupy one of the top 3 positions from 2020 to 2022.\r\n\r\nThe course also provides solid training for those wishing to continue their studies towards a Master's degree and\/or PhD in an area related to Data Science.","competences":"Data Science graduates will have the necessary skills to:\r\n\r\n- Promote the use of data for decision-making, in public or private institutions;\r\n- Master the theoretical foundations and practical applications of statistical and Artificial Intelligence techniques;\r\n- Obtain, prepare, make available and analyze data, from various sources and formats, on a large scale (big data);\r\n- Identify the most appropriate Data Science techniques, algorithms and technologies for each situation;\r\n- Implement ways of visualizing and communicating results;\r\n- Create and implement machine learning algorithms, using state-of-the-art techniques and technologies;\r\n- Recognize patterns and make predictions from data;\r\n- Work on research and development projects, in close collaboration with specialists from a wide range of areas, contributing to the creation of knowledge in science, industry, management and society, based on Data Science.","conferedDegree":"Bachelor","creditationStatus":"Acreditado","creditationStatusCode":1,"directionContact":"SILVIA MARIA DIAS PEDRO REBOU\u00c7AS","directionEmail":"p5974@ismat.pt","courseECTS":120,"courseName":"Data Science ","curricularPlanCode":1,"degree":"1\u00ba Ciclo","hasBranches":"N","objectives":"The degree in Data Science aims to provide the theoretical, methodological and practical knowledge in the areas of Statistics, Mathematics and Computer Science relevant to Data Science, as well as the Business Management knowledge needed to implement Data Science projects in a business environment.","presentation":"The degree in Data Science aims to train professionals who, combining solid knowledge in the fields of Statistics and Computer Science, will work to promote and use data and modern Statistical and Artificial Intelligence algorithms to support decision making and solve problems in a variety of areas, from science to management and society.\r\n\r\nThe digital transformation has highlighted the importance of Data Science in both the public and private sectors, with more and more data being generated, technological advances that make it possible and more intuitive and efficient to generate knowledge from it, and an increasingly data-driven organizational culture.\r\n\r\nProfessionals graduating from this course will have fundamental analytical and technological skills so that they can be agents of change and digital transformation in companies through Data Science. They will also be prepared for the business environment through Curricular units in the area of Management, including Business Analytics and Tourism Analytics, which are considered to be of great relevance in the current context of economic recovery in Portugal and, in particular, in the Algarve, where tourism plays a prominent role.\r\n\r\nThe course favors a multidisciplinary Challenge Based Learning (CBL) approach, aimed at solving real challenges using data.","publicationDate":"07\/05\/2021","scientificArea":"Matem\u00e1tica e estat\u00edstica - programasn\u00e3o classificados noutra \u00e1rea de forma\u00e7\u00e3o","scientificAreaCNAEFCode":"469","scientificAreaCode":68,"semesters":6,"areaScientificMkt":"Information Systems and Computer Science","idAreaScientificMkt":11,"directorLogin":"p5974","registration":"R\/A -Cr 214\/2021, de 9 de julho de 2021","modEstudo":"Presencial","comments":"DURATION \/ DEGREE OR DIPLOMA AWARDED \/ ECTS\r\n1620 hours \/ 3 academic years \/ 180 ECTS","recipients":"This course is aimed at students who have completed secondary education, graduates in other areas or people with other profiles, provided they meet the conditions for access to the course and wish to pursue a career in Data Science.\r\nGiven its applied approach and preference for active learning methods such as Challenge Based Learning (CBL), this is a course that will interest anyone who likes to solve challenges and get involved in real projects using data.","telephoneNumber":"282450430","cientific2":"Ci\u00eancias inform\u00e1ticas","recordId":1660,"coDirectorCourseId":"p4200","coDirectorContact":"Tiago Candeias","coDirectorEmail":"tiago.candeias@ismat.pt"},"courseTuitions":[{"designation":"Registration","value":240,"code":9},{"designation":"Student Insurance","value":40,"code":10},{"designation":"Enrollment","value":280,"code":11},{"designation":"Average monthly value for 30 ECTS semestral curricular units","value":320.4},{"designation":"Per ECTS","value":10.68}],"courseApplicationEmoluments":[{"designation":"Holders of BA\/BSc, MA\/MSc or PhD","value":90,"code":92},{"designation":"Holders of BA\/BSc, MA\/MSc or PhD (for candidates from institutions of the Lusofona Group)","value":32,"code":181},{"designation":"Applying for Readmission","value":90,"code":23},{"designation":"Over the age of 23 (having done external exam)","value":90,"code":6},{"designation":"Change of Institution \/ Programme","value":90,"code":144},{"designation":"International Student with ENEM","value":300,"code":1032},{"designation":"Holders of secondary education dual certification courses and specialized artistic courses\/professional courses","value":90,"code":1266},{"designation":"International student","value":300,"code":1032},{"designation":"Access (for candidates with secondary education and national exams)","value":90,"code":3},{"designation":"External Students","value":400,"code":1436},{"designation":"External Students","value":300,"code":1435},{"designation":"Over the age of 23 (enrolment for internal exame)","value":90,"code":612},{"designation":"CET Holders","value":90,"code":1041},{"designation":"","value":32,"code":1042},{"designation":"CTeSP Holders","value":90,"code":1041},{"designation":"CTeSP Holders (for students who attended Lusophone Education institutions)","value":32,"code":1042}],"teachers":[],"errorCode":"0","lang":"en-GB","emolumentsfirstyear":{"courseTuitions":[{"designation":"Registration","value":250,"code":9},{"designation":"Student Insurance","value":45,"code":10},{"designation":"Enrollment","value":300,"code":11},{"designation":"Average monthly value for 30 ECTS semestral curricular units","value":322.2},{"designation":"Per ECTS","value":10.74}],"courseApplicationEmoluments":[{"designation":"Holders of BA\/BSc, MA\/MSc or PhD","value":100,"code":92},{"designation":"Holders of BA\/BSc, MA\/MSc or PhD (for candidates from institutions of the Lusofona Group)","value":50,"code":181},{"designation":"Applying for Readmission","value":100,"code":23},{"designation":"Over the age of 23 (having done external exam)","value":100,"code":6},{"designation":"Change of Institution \/ Programme","value":100,"code":144},{"designation":"International Student with ENEM","value":350,"code":1032},{"designation":"Access - 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- 68
- 07/05/2021
- R/A -Cr 214/2021, de 9 de julho de 2021
- DURATION / DEGREE OR DIPLOMA AWARDED / ECTS 1620 hours / 3 academic years / 180 ECTS
Valores Candidatura
100501001001003501401003501006004001001005010050Valores Matrícula e Inscrição
25045300Propinas
322.210.74Valores Candidatura
100501001001003501401003501006004001001005010050- Regime of Enrolment in Individual Curricular Units - External Students
Start Date End Date 1st phase 2024-01-05 2025-06-30 - Applying for Bachelor programmes - Change of Institution / Programme
Start Date End Date 7th phase 2024-09-19 2025-03-31 - Applying for Readmission
Start Date End Date 1st phase 2024-01-05 2025-06-30 - Applying for Bachelor programmes - Holders of secondary education dual certification courses and specialized artistic courses/professional courses
Start Date End Date 1st phase 2025-01-02 2025-03-28 - Applying for Bachelor programmes - International student
Start Date End Date 1st phase 2025-01-02 2025-03-28 - Applying for Bachelor programmes - International Student with ENEM
Start Date End Date 1st phase 2025-01-02 2025-03-28 - Applying for Bachelor programmes - Over the age of 23 (having done external exam)
Start Date End Date 1st phase 2025-01-02 2025-03-28 - Applying for Bachelor programmes - Over the age of 23 (enrolment for internal exame)
Start Date End Date 1st phase 2025-01-02 2025-03-28 - Applying for Bachelor programmes - Change of Institution / Programme
Start Date End Date 1st phase 2025-01-02 2025-03-28 - Undergraduate Application - CET Holders
Start Date End Date 1st phase 2025-01-02 2025-03-28 - Applying for Bachelor programmes - Access (for candidates with secondary education and national exams)
Start Date End Date 1st phase 2025-01-02 2025-07-23 -
Start Date End Date 1st phase 2025-01-02 2025-03-28 - Regime of Enrolment in Individual Curricular Units - External Students
Start Date End Date 1st phase 2025-01-02 2026-06-30 - Undergraduate Application - CTeSP Holders
Start Date End Date 1st phase 2025-01-02 2025-03-28 - Bachelor's Degree Application - CTeSP Holders (for students who attended Lusophone Education institutions)
Start Date End Date 1st phase 2025-01-02 2025-03-28 - Applying for Bachelor programmes - Holders of BA/BSc, MA/MSc or PhD
Start Date End Date 1st phase 2025-01-02 2025-03-28 - Applying for Bachelor programmes - Holders of BA/BSc, MA/MSc or PhD (for candidates from institutions of the Lusofona Group)
Start Date End Date 1st phase 2025-01-02 2025-03-28 - Applying for Readmission
Start Date End Date 1st phase 2025-01-02 2026-06-30 - Application for a Bachelor's Degree - Access - Holders of non-Portuguese courses legally equivalent to Portuguese secondary education
Start Date End Date 1st phase 2025-01-02 2025-07-23
- Regime of Enrolment in Individual Curricular Units - External Students
- Solid training in Data Science and Artificial Intelligence: Offers knowledge in Statistics, Big Data, Machine Learning and Artificial Intelligence, preparing students in the various areas of Data Science.
- Practical Approach with Real Challenges: Active teaching methods (Challenge Based Learning) allow students to solve real problems with data, developing solutions to challenges in today's world.
- Qualified Teaching Staff and Links to the Sector: Experienced teachers with strong links to the labour market, providing practical learning in line with the latest technological trends.
- Development of Skills for Digital Transformation: Students learn to apply data for strategic decisions in areas such as Business Analytics and Tourism Analytics, essential for today's market.
- High Employability and Professional Opportunities: The course prepares students for leading positions such as Data Scientist, Machine Learning Engineer and Data Analyst, which are in high demand in the public and private sectors.
- 6
- https://secure.ensinolusofona.pt/lsm/LusofonaMobileWebService_2_0/UserThumb?user_login=p5974
- [[inner]]
- N
- 6321
- 1575.00
1º Ano / No Branch
Course Name ECTS Data Science Foundations 6 ECTS Exploratory Data Analysis 6 ECTS Introduction to Programming 6 ECTS Linear Algebra 6 ECTS Mathematics I 6 ECTS Discrete Mathematics 6 ECTS Information Systems 4 ECTS Mathematics II 6 ECTS Probabilities and Statistics 8 ECTS Programming Laboratory 6 ECTS 2º Ano / No Branch
Course Name ECTS Business Management 5 ECTS Databases 6 ECTS Introduction to Stochastic Processes 6 ECTS Multivariate Analysis and Unsupervised Learning 8 ECTS Operational Research 5 ECTS Big Data storage 6 ECTS Business Analytics 6 ECTS Project Management 5 ECTS Scientific Research Methodologies 5 ECTS Supervised Learning 8 ECTS 3º Ano / No Branch
Course Name ECTS Big Data Processing 6 ECTS Decision Support Systems 6 ECTS Ethics and Data Security 6 ECTS Time Series 6 ECTS Web Programming 6 ECTS Final Course Work 14 ECTS Option 10 ECTS Tourism Analytics 6 ECTS - 12
- Data Science graduates will have the necessary skills to: - Promote the use of data for decision-making, in public or private institutions; - Master the theoretical foundations and practical applications of statistical and Artificial Intelligence techniques; - Obtain, prepare, make available and analyze data, from various sources and formats, on a large scale (big data); - Identify the most appropriate Data Science techniques, algorithms and technologies for each situation; - Implement ways of visualizing and communicating results; - Create and implement machine learning algorithms, using state-of-the-art techniques and technologies; - Recognize patterns and make predictions from data; - Work on research and development projects, in close collaboration with specialists from a wide range of areas, contributing to the creation of knowledge in science, industry, management and society, based on Data Science.
- 120
- 1
- 1º Ciclo
- Data Science
- The degree in Data Science aims to provide the theoretical, methodological and practical knowledge in the areas of Statistics, Mathematics and Computer Science relevant to Data Science, as well as the Business Management knowledge needed to implement Data Science projects in a business environment.
- The degree in Data Science aims to train professionals who, combining solid knowledge in the fields of Statistics and Computer Science, will work to promote and use data and modern Statistical and Artificial Intelligence algorithms to support decision making and solve problems in a variety of areas, from science to management and society. The digital transformation has highlighted the importance of Data Science in both the public and private sectors, with more and more data being generated, technological advances that make it possible and more intuitive and efficient to generate knowledge from it, and an increasingly data-driven organizational culture. Professionals graduating from this course will have fundamental analytical and technological skills so that they can be agents of change and digital transformation in companies through Data Science. They will also be prepared for the business environment through Curricular units in the area of Management, including Business Analytics and Tourism Analytics, which are considered to be of great relevance in the current context of economic recovery in Portugal and, in particular, in the Algarve, where tourism plays a prominent role. The course favors a multidisciplinary Challenge Based Learning (CBL) approach, aimed at solving real challenges using data.
- Information Systems and Computer Science
- 11
- This course is aimed at students who have completed secondary education, graduates in other areas or people with other profiles, provided they meet the conditions for access to the course and wish to pursue a career in Data Science. Given its applied approach and preference for active learning methods such as Challenge Based Learning (CBL), this is a course that will interest anyone who likes to solve challenges and get involved in real projects using data.
- 282450430
- 1660
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