Degree

Data Science and Visualization

The Degree in Data Science and Visualization provides a solid education in the fundamental areas of data science and visualization, preparing students for a variety of related careers. Throughout the course, students will develop skills in Data Science, Data Visualization, Software Engineering and Project Management, and Data Ethics and Security.

Duration

3 years (6 semesters) - 180 ECTS

Scheme

Work | After Work

Course coordination

Sandra Gama

sandra.gama@my.istec.pt

Mário Carvalho

mariomiguel.carvalho@iseclisboa.pt

Curso ministrado em associação com o:

ISEC Lisboa – Instituto Superior de Educação e Ciências

Objectives

The objectives of the Data Science and Visualization course include enabling students to develop critical thinking in the different core areas of the course. In the area of Data Science, the aim is to train students in data collection, processing and analysis techniques, applying critical thinking to solve problems and make informed decisions. In the area of Data Visualization, the focus is on enabling students to create clear and effective visual representations of data, with the aim of communicating complex information in an understandable and impactful way, enabling the creation of Information Visualizations that allow the intended tasks to be carried out effectively and efficiently, relieving the cognitive burden associated with data interpretation. In addition, the course aims to develop skills in software engineering, artificial intelligence, project management, ethics and data security, preparing students to deal with various challenges in the field of data science and visualization. These skills will provide students with the necessary tools to act as competent and ethical professionals in a constantly evolving field such as Data Science and Visualization.

Professional Opportunities

Data Science:
  • Data Scientist
  • Data Engineer
  • Data Analyst
  • Machine Learning Specialist
  • Business Intelligence Analyst
Project Management:
  • Data Science Project Manager
  • Visualization Project Team Leader
  • Technology Project Management Consultant
  • Data Project Business Analyst
  • Analytics Program Manager
Data Visualization:
  • Data Visualization Designer
  • Information Design Specialist
  • Data Visualization Analyst
  • Interactive Visualization Programmer
  • Data Visualization Consultant
  • Data Visualization Project Manager
Ethics and Data Security:
  • Data Privacy and Ethics Specialist
  • Data Security Analyst
  • Data Compliance Manager
  • Artificial Intelligence Ethics Consultant

Study plan

  • Linear Algebra | 6 ECTS
  • Design for Interfaces I | 6 ECTS
  • Programming Fundamentals | 6 ECTS
  • Mathematics I | 6 ECTS
  • Graph Theory and Optimization for Data Science | 6 ECTS
  • Exploratory Data Analysis | 6 ECTS
  • Databases | 6 ECTS
  • Design for Interfaces II | 6 ECTS
  • Data Structures and Knowledge | 6 ECTS
  • Mathematics II | 6 ECTS
  • Big Data Analysis and Processing | 6 ECTS
  • Artificial Intelligence | 6 ECTS
  • Statistical Laboratories and Linear Modeling Applied to Data Science | 6 ECTS
  • Programming and Data Analysis | 6 ECTS
  • Interactive Data Visualization | 6 ECTS
  • Supervised and Unsupervised Machine Learning | 6 ECTS
  • Information Design – Infographics I | 6 ECTS
  • Software Engineering | 6 ECTS
  • Innovation by Design | 6 ECTS
  • Structured Programming | 6 ECTS
  • Information Design – Infographics II | 6 ECTS
  • Data Ethics | 3 ECTS
  • Research Methods for Data Science | 5 ECTS
  • Text and Natural Language Processing | 6 ECTS
  • Data Science Project | 10 ECTS
  • Data Science Applied to the Internet of Things | 6 ECTS
  • Optional I | 3 ECTS
  • Optional II | 3 ECTS
  • Data Visualization Project | 10 ECTS
  • Security, Law and Privacy in Cyberspace | 5 ECTS
  • Data-Based Decision Support Systems | 3 ECTS

Optional I

  • Consumer Behavior Analysis and Management | 3 ECTS
  • Decision Science | 3 ECTS
  • Data Management | 3 ECTS
  • Management and Entrepreneurship | 3 ECTS
  • Virtual Team Leadership | 3 ECTS
  • Digital Business | 3 ECTS

Optional II

  • Consumer Behavior Analysis and Management | 3 ECTS
  • Decision Science | 3 ECTS
  • Data Management | 3 ECTS
  • Management and Entrepreneurship | 3 ECTS
  • Virtual Team Leadership | 3 ECTS
  • Digital Business | 3 ECTS

Recipients

Exams to be Taken for Admission (General Access Regime):

  • 635 Mathematics A
  • 635 Mathematics A and 712 Economics
  • 635 Mathematics A and 702 Biology and Geology

Students over the age of 23 who have passed the legally required special tests;


Students from special schemes and other legally authorized higher education establishments.

Table of Fees

Application: 135€

Registration: 135€

School Dossier: 35€

Value per ECTS: 70€

Annual tuition fee: €3,948.40

Semester tuition: €2,037.60

Monthly installments (Sept. to Aug.): 350,00€


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