Computing and Applied Mathematics

Category: Bachelor
  • 481
  • EN
  • https://www.a3es.pt/pt/resultados-acreditacao/computacao-e-matematica-aplicada

  • Passing 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 02 Biology and Geology 16 Maths or 13 English 16 Maths or 09 Geography 16 Maths

    Candidates can also enter through the change of institution/course pair schemes, or through a Special Competition, in accordance with the legal rules in force (holders of higher education courses, holders of CETs, holders of CTSPs, over 23s, holders of dual certification courses). Candidates who fulfil the conditions laid down in the International Student Statute may also enter.

  • - Data Scientist - Applied Mathematician/Computer Scientist - Business Intelligence - Analyst - Machine Learning & A.I. Scientist - Solid background to pursue a Ph.D. program.
  • Bachelor
  • Acreditado
  • 1
  • Tiago Candeias
  • Presencial
  • Ciências informáticas
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    Passing 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\n02 Biology and Geology\r\n16 Maths\r\nor\r\n13 English\r\n16 Maths\r\nor \r\n09 Geography\r\n16 Maths\r\n

    Candidates can also enter through the change of institution\/course pair schemes, or through a Special Competition, in accordance with the legal rules in force (holders of higher education courses, holders of CETs, holders of CTSPs, over 23s, holders of dual certification courses). Candidates who fulfil the conditions laid down in the International Student Statute may also enter.","careerOportunities":"- Data Scientist\r\n- Applied Mathematician\/Computer Scientist\r\n- Business Intelligence\r\n- Analyst\r\n- Machine Learning & A.I. Scientist\r\n- Solid background to pursue a Ph.D. program.","competences":"- Theoretical, methodological and practical foundations in the areas of computer science, applied mathematics and computer engineering. 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  • 71
  • 07/07/2022
  • R/A -Cr 150/2022/AL01 de 8 de junho de 2023
  • Assessment methodology The program offers a strong technical introduction to the student in the areas mentioned, through methodologies: (1) Expository, (2) Experimental, (3) Active, promotes teamwork and (4) Self-Study.

  • Valores Candidatura

      Holders of BA/BSc, MA/MSc or PhD
      100
      Holders of BA/BSc, MA/MSc or PhD (for candidates from institutions of the Lusofona Group)
      50
      Applying for Readmission
      100
      Over the age of 23 (having done external exam)
      100
      Change of Institution / Programme
      100
      International Student with ENEM
      350
      Access - Holders of non-Portuguese courses legally equivalent to Portuguese secondary education
      140
      Holders of secondary education dual certification courses and specialized artistic courses/professional courses
      100
      International student
      350
      Access (for candidates with secondary education and national exams)
      100
      External Students
      600
      External Students
      400
      Over the age of 23 (enrolment for internal exame)
      100
      CET Holders
      100
      50
      CTeSP Holders
      100
      CTeSP Holders (for students who attended Lusophone Education institutions)
      50

    Valores Matrícula e Inscrição

      Registration
      250
      Student Insurance
      45
      Enrollment
      300

    Propinas

      Average monthly value for 30 ECTS semestral curricular units
      425.4
      Per ECTS
      14.18

  • Valores Candidatura

      Holders of BA/BSc, MA/MSc or PhD
      100
      Holders of BA/BSc, MA/MSc or PhD (for candidates from institutions of the Lusofona Group)
      50
      Applying for Readmission
      100
      Over the age of 23 (having done external exam)
      100
      Change of Institution / Programme
      100
      International Student with ENEM
      350
      Access - Holders of non-Portuguese courses legally equivalent to Portuguese secondary education
      140
      Holders of secondary education dual certification courses and specialized artistic courses/professional courses
      100
      International student
      350
      Access (for candidates with secondary education and national exams)
      100
      External Students
      600
      External Students
      400
      Over the age of 23 (enrolment for internal exame)
      100
      CET Holders
      100
      50
      CTeSP Holders
      100
      CTeSP Holders (for students who attended Lusophone Education institutions)
      50
    • Solid, Multidisciplinary Training: Combines computing, applied maths and computer engineering, developing the analytical and practical skills essential for dealing with big data, algorithms and artificial intelligence.
    • Focus on Emerging Areas and Innovative Technologies: Addresses topics such as machine learning, A.I., advanced statistics and data analysis, preparing students to face the technological challenges of the future.
    • Experienced Teaching Staff and Personalised Guidance: Specialised teachers with extensive academic and practical experience guarantee up-to-date teaching and continuous support in the development of projects.
    • Integration of Theory and Practice: Training with a strong practical component, including real projects and teamwork, to apply knowledge to solving real-world problems.
    • Broad Labour Market Insertion: Prepares for careers in high-demand areas such as data science, business analysis, machine learning, business intelligence and technology consulting.
    • Internship and career opportunities: Partnerships with companies and organisations allow you to apply your knowledge in real environments, create a network of contacts and enter the job market.
  • 6
  • https://secure.ensinolusofona.pt/lsm/LusofonaMobileWebService_2_0/UserThumb?user_login=p4492
    • [[inner]]
  • N
  • 6640
  • 1515.00

  • 1º Ano / No Branch

    Course NameECTS
    Data Science Foundations6 ECTS
    Discrete Mathematics6 ECTS
    Mathematics I6 ECTS
    Numerical Analysis6 ECTS
    Programming Fundamentals6 ECTS
    Exploratory Data Analysis6 ECTS
    Introduction to Mathematical Probability6 ECTS
    Linear Algebra6 ECTS
    Mathematics II6 ECTS
    Programming Languages6 ECTS

    2º Ano / No Branch

    Course NameECTS
    Algorithms and Data Structures6 ECTS
    Databases6 ECTS
    Fundaments of Data Engineering for Data Science6 ECTS
    Introduction to Computer Science6 ECTS
    Introduction to Ordinary Differencial Equations6 ECTS
    Introduction to Stochastic Processes6 ECTS
    Introduction to the Theory of Graphs and Networks6 ECTS
    Machine Learning I6 ECTS
    Statistical Methods6 ECTS
    Visualization for Data Science6 ECTS

    3º Ano / No Branch

    Course NameECTS
    Final Course Work20 ECTS
    Machine Learning II5 ECTS
    Operational Research5 ECTS
    Option I5 ECTS
    Option II5 ECTS
    Cloud Information Systems5 ECTS
    Computer Networks5 ECTS
    Option III5 ECTS
    Option IV5 ECTS
  • 12
  • - Theoretical, methodological and practical foundations in the areas of computer science, applied mathematics and computer engineering. In particular: Mathematics, Statistics, Machine Learning, Artificial Intelligence and Computer Engineering. - Know how to handle large volumes of data within data protection laws, create and implement new and current algorithms and mathematical models in A.I. - Obtain scientific quality results with fluidity; know how to integrate and work in multidisciplinary teams; good synthesis skills.
  • 180
  • Lurdes Oliveira
  • f3560@ulusofona.pt
  • 2
  • 1º Ciclo
  • Computing and Applied Mathematics
  • This cycle provides: An introduction to computing and applied mathematics in response to current needs in a big-data context, with basic technical training in computer science, applied mathematics and computer engineering essential for handling data, algorithms and models.
  • With the exponential advance in the volume of ¿big data¿ and its digital transformation over the last decade and a half, we have witnessed and continue to observe a phase of constant reinvention not only of the infrastructures and models of information systems, but also the reinvention of new professional profiles in the transformation of data into knowledge. It can be seen that professionals trained in areas related to traditional ¿mathematics¿ have shown a very strong basis for facing this challenge. However, there is a great effort on the part of these professionals to adapt to IT infrastructures. The aim is to maintain the analytical thinking of these professionals but also to develop skills in computer engineering.
  • Information Systems and Computer Science
  • 11
  • 282450430
  • 1757
  • [{"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}]

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