Faculty of Engineering of the University of Porto
Master in Data Science and Engineering
Porto, Portugal
Master degree
DURATION
2 years
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
EARLIEST START DATE
TUITION FEES
EUR 6,000
STUDY FORMAT
On-Campus
Fast-track counseling
By contacting the school, you'll get access to free priority counselling for any study and application questions.
Key Summary
What is data science & engineering?
Data Science (DS) is a combination of science, engineering, and art skills to extract useful knowledge from data. It involves different areas of knowledge, from statistics to databases and computer science, from artificial intelligence to machine learning and deep learning. It is used to solve important problems in our economy and society, from predicting the sales of products and recommending the best product for a customer, to supporting the diagnosis of patients and analyzing the spread of a virus.
Is Master in Data Science and Engineering a good fit for me?
The program is targeted at people with quantitative training (mainly engineering, physical sciences, and economics/management). While it is suitable for recent graduates, it is also designed for licensed professionals and even master degree holders, to requalify or reinforce their training in this area.
- Project course with companies
- 6 months dissertation
- dissertation: research at lab or innovation a company
- E1 elective course (incl. entrepreneurship)
Course units belonging to the academic fields defined in the active curricular structure(s) in the current academic year
- Informatics Sciences
- Informatics
As an MDSE graduate, you will be able to:
- to understand in a critical and in-depth manner the central principles, methodologies, and techniques of Data Science (DS), particularly those applicable to problems of large size and complexity;
- to design and implement new and complex DS solutions and products using state-of-the-art knowledge in the area, given ethical, social, legal, technological, and economic constraints;
- to critically judge new technological solutions and promote the search and application of innovative DS methods and solutions to challenging problems, appealing to curiosity, creativity, and rigor;
- to work efficiently in a project team as a data scientist to develop projects that add value to organizations;
- to communicate their highly technological reasoning to diverse audiences, orally or in writing, in (inter)national contexts, fostering positive change in organizations;
- to continue their training on DS independently and throughout life.
Data Science & Engineering is an area with a wide range of options for exciting careers:
- a data scientist at a company, delivering projects for your company as well as external customers;
- a data science researcher at a lab, expanding the limits of the area by developing new methods as well as applying them to novel domains;
- a data science researcher in a company, driving innovation to keep your company at the edge.