Postgraduate Course – Data Science for Engineers (DaSh)

Applications are open until 20th April 2021.

Data Science, a paradigmatic application of the most promising techniques of Artificial Intelligence and Machine Learning, stands out as the key technology for digital transformation. Even in this new pandemic context, Data Science maintains and reinforces its vital role in organizations, by transforming data into information. It is this transformation that allows the discovery of models capable of predicting and anticipating behaviours, both for customers and competitors, and that gives organisations the necessary support to make informed decisions, in order to better prepare their present and future activity.

Post-Graduation in DaSh, in online format, consists of three fundamental modules (1. Introduction to Data Science and Exploratory Analysis, 2. Classification and 3. Unsupervised Analysis) and an advanced module in deep learning, designed to transform engineers trained in the fields of information technology in Data Scientists.

Target group: Graduates or Masters in Informatics Engineering, Electrical Engineering, Applied Mathematics and Computing, or with equivalent experience, without previous training in Data Science.

Applications are open until 20th April 2021.¹

  • Format: Online.
    • Duration: 7 months/140 hours (from 3rd May to 16th October 2021).
    • Calendar and schedules:
  • Classes: from 3rd May to 23rd July 2021.
    • Schedule: Mondays and Wednesdays, 18:30-21:30 & Saturdays, 9:00-12:00.
  • Academic break: from 24th July to 11th September 2021.
  • Classes: from 13th September to 16th October 2021.
    • Schedule: Saturdays, 9:00-12:00 & 13:30-15:30.

More information.

¹This postgraduate course is considered eligible by the José Neves Foundation (FJN), through ISA. ISA FJN is based on Income Share Agreement model, which aims to enhance access to education through scholarships, allowing students to pay their tuition fees at the beginning of the course. Learn more about ISA FJN. / Apply here. Note: the number of vacancies is limited.