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Masters Data Science

Data Science integrates the multidisciplinary paradigms and methods necessary to address the complex challenges of our hyperconnected information ecosystem. Every day, vast amounts of data are generated from numerous sources such as commercial transactions Read more

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Course formatIn-Person DegreeMasters Semesters4 Credits120
  • Presentation

    Presentation

    Data Science integrates the multidisciplinary paradigms and methods necessary to address the complex challenges of our hyperconnected information ecosystem. Every day, vast amounts of data are generated from numerous sources such as commercial transactions, social media interactions, medical records, sensor readings, and IoT devices. Through the integrative analytics in Data Science pipelines, we can derive crucial inferences that enable us to extract knowledge from data and support informed decision-making. The Master's in Data Science at Universidade Lusófona de Lisboa (MCiD) is the ideal educational complement for candidates who, after completing a degree in Computer Engineering, Statistics, Physics, Mathematics, Management, Economic and Financial Sciences, or related areas, wish to pursue a graduate degree. This academic path aims to achieve a higher level of specialisation and provide access to more prominent professional positions. The MCiD offers a comprehensive introduction to Data Science, providing solid training both in foundational principles and cutting-edge techniques for data analysis and engineering. Additionally, it addresses the necessary knowledge in privacy, security, and ethics, essential for handling data in compliance with current legislation. Candidates are evaluated on the basis of their curriculum vitae.
  • Admission Conditions

    Admission Conditions

    Candidates with a background in Computer Science, Statistics, Physics, Mathematics, Management, Economics and Financial Sciences or related fields may apply for the cycle of studies leading to a master's degree: a) holders of a bachelor's degree or legal equivalent; b) holders of a foreign academic degree awarded following a 1st cycle of studies organised in accordance with the principles of the Bologna process by a State adhering to that process; c) holders of a foreign higher academic degree that is recognised as satisfying the objectives of a bachelor's degree by the statutorily competent body; d) holders of an academic, scientific or professional curriculum that is recognised by the competent statutory body of Centro Universitário Lisboa as attesting to their ability to complete this cycle of studies.
  • Who is this course for?

    Who is this course for?

    This graduate programme is intended for candidates with a background in areas such as Computer Science, Statistics, Physics, Mathematics, Management, Economic and Financial Sciences, or related fields, who wish to acquire foundational competencies in Data Science.
  • Knowledge, abilities and skills to be acquired

    Knowledge, abilities and skills to be acquired

    Throughout the programme, students acquire a comprehensive set of essential skills and competencies in Data Science. These abilities equip them to tackle current and future challenges in data analysis and management. Technical Skills: 1 - Advanced Data Science programming in languages such as Python and/or R, utilising specific libraries and 2 - tools for data manipulation and analysis. 3 - Statistical analysis and applied mathematics including regression analysis, hypothesis testing, and probabilistic reasoning. 4 - Creation of Machine Learning models to produce explanations and prediction using algorithms trained with extensive dataset. 5 - Database management and data engineering through gaining familiarity with structured (SQL) and semi-structured (JSON, XML) databases, and techniques for handling unstructured data. 6 - Creation of effective visualisations to communicate complex insights clearly and accessibly. Transferable Skills: 1 - Creative problem-solving with innovative approaches to analysing data and deriving relevant inferences within multidisciplinary scenarios. 2 - Effective communication to explain complex technical concepts to non-specialist audiences. 3 - Adaptive learning to rapidly acquire knowledge in new data-generating domains such as healthcare, social networks, industry, and others. 4 - Ethical awareness and ability to contextualise data science legally through a deep understanding of the ethical and legal aspects related to data privacy, security, and usage, ensuring regulatory compliance. 5 - Collaborative work within multidisciplinary teams, integrating diverse perspectives and expertise.
  • Career Opportunities

    Career Opportunities

    Graduates of the Master¿s in Data Science at Universidade Lusófona are uniquely equipped to work in contexts requiring advanced competencies in data engineering, machine learning, model building, and the applied interpretation of complex data phenomena. Thanks to the programme¿s balanced coverage of data engineering, applied statistics, visualisation, machine learning, and ethical responsibility, graduates may assume roles across a wide range of sectors including healthcare, finance, retail, creative industries, telecommunications, public administration, and academic research. Example career paths include: - Data Scientist - Data Engineer - Machine Learning Engineer - Data Analyst - Data Visualisation Specialist - Social Network and Audience Analyst - Health Data Analyst - Financial Data Analyst - Data Ethics and Privacy Consultant - IoT Data Integration Specialist - Public Policy Data Analyst - Scientific Researcher in Data Science or interdisciplinary areas
Lisboa | Esc.Comunicação, Arquitetura, Artes e TI
ENROLL

Current Application Dates

Check below the application phases currently open for this course.
You may also check all the other phases here.

Fees

Other fees may be applied in accordance with the regulations in force.
    • Application Fees
      Application for Masters Degrees ? 450€
      Application for Masters Degrees ? 173€
      Applying for Readmission 100€
      External Students ? 600€
      External Students ? 300€
    • Registration Fees
      45€
      100€
      285€
    • Tuition
      Average monthly value for 30 ECTS semestral curricular units 307.2€
      Per ECTS 10.24€
    • Application Fees
      Application for Masters Degrees ? 450€
      Application for Masters Degrees ? 175€
      Applying for Readmission 105€
      External Students ? 625€
      External Students ? 425€
    • Registration Fees
      47€
      105€
      300€
    • Tuition
      Average monthly value for 30 ECTS semestral curricular units 322.2€
      Per ECTS 10.74€

Course Direction

Manuel Arturo Marques Pita

Secretariat

Lurdes Oliveira

  • Telephone extension
    764
  • Location
    Sala F.1.6
  • Service hours
    2ªf a 6ªf - 9h30 às 13h

Agência de Avaliação e Acreditação do Ensino Superior

Acreditation state
Acreditado - Deliberation
Registry number: R/A-Cr 219/2021/AL02

Graduation Requirements

Have completed a total of 120 ECTS.

Department of Computer Engineering and Information Systems

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