Data Science

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Program description

  • General Field of Study
  • Master’s program
  • Duration of Studies
  • ECTS Study Credits
  • Organization Mode
  • Certification
  • Title Awarded
  • Information and communication technologies
  • Data Science
  • Two years
  • 120
  • Full-time Education
  • Masters’s Degree
  • Master in Computer Science

General description

  • The Data Science master’s program aims to train specialists in data processing, specialists who equally master both the related tools related to information technologies (programming languages, design of information systems, etc.) and the statistical-probabilistic methods of modeling and calculation used in the research of random phenomena. The task of this master’s program is to provide master’s students with the skills, abilities, and knowledge necessary to become data analysts or data scientists, preparing them for a career in data science. The content of the disciplines will cover three distinct types of knowledge necessary for the field: programming languages necessary for data management and the construction of data warehouses; visual data exploration tools: types of graphs, dashborders, infographics and reporting forms, through specialized tools; predictive statistical analysis and dimensional analysis tools; mastering machine learning algorithms: data reduction and prediction algorithms, natural language processing, neural networks, etc. 

  • Department responsible for the program: Computer Science and Systems Engineering 

  • Learning outcomes

General competences

  • CG 1. Launching and optimizing businesses based on the design and administration of information systems.

    1. identify business opportunities in the field of information systems design and management, analyzing available resources and technological trends
    2. develop a business plan in the field of information systems

    CG 2. The management of processes and resources in information systems

    1. manage the design, development and administration processes of information systems, ensuring their quality and security
    2. develop constructive relationships and collaboration strategies with beneficiaries involved in the management and administration of information systems

    CG 3. The use of emerging technologies in the development and management of information systems

    1. identify suitable software solutions for the development and optimization of information systems, analyzing the development trends of emerging technologies
    2. implement original solutions and strategies for integrating advanced technologies to improve the performance of information systems

    CG 4. Carrying out research activity in the field of information systems

    1. define research problems specific to the design and management of information systems, having a critical and creative approach
    2. apply research methods and techniques to analyze, design and improve proposed solutions
Professional competences

  • CP 5. Designing data analysis systems using innovative technologies in the field.

    1. develop data analysis systems, applying advanced data processing methods, techniques and algorithms.
    2. integrate interdisciplinary approaches and emerging technologies in the design of data analysis systems, adapting solutions to the dynamic requirements of the business environment.

    CP 6. Improving the performance of data analysis systems.

    1. develop research and development projects in data science, applying advanced data processing techniques and integrating artificial intelligence algorithms.
    2. evaluate the results obtained, adjusting research and development strategies based on test results and technological evolution.

    CP 7. Development of professional and/or research projects in data science

    1. develop research and development projects in data science, applying advanced data processing techniques and integrating artificial intelligence algorithms.
    2. evaluate the results obtained, adjusting research and development strategies according to test results and technological evolution.

    CP 8. Management of data analysis systems.

    1. Coordinate the implementation of data analysis systems in accordance with policies and procedures to ensure quality, security and operational efficiency.
    2. develop intervention and recovery plans, monitoring performance and implementing corrective measures.
Transversal skills
    • CT 1. Time management and self-discipline
    • CT 2. Decision-making and leadership
    • CT 3. Demonstrating integrity, ethics and transparency
    • CT 4. Manifesting flexibility, adaptability and resilience
    • CT 5. Empathy and emotional intelligence
    • CT 6. Effective communication, teamwork and collaboration
    • CT 7. Orientation to learning process
    • CT 8. Information Management and ICT