24 months
Duration
5000 EUR/year
1500 EUR/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Master in Data Analytics from University of Porto is intended for decision-makers wishing to add value to their strategic capabilities by taking advantage of decision support and data analysis systems, as well as specialists in information processing wishing to participate in the development of computational systems for business intelligence and decision support.

Visit the official programme website for more information

Overview

The Data Analytics programme is offered by University of Porto.

Decision-making processes within companies and other organizations rely heavily on the knowledge that decision makers have about the reality where the company acts (markets, customers, producers, etc.). 

Much of this knowledge can be drawn from data resulting from normal business activity that are continuously accumulated by transactional information systems. Efficient and effective analysis and processing of such data for actionable knowledge may result in better performance of the organization.  

The data analysis process includes various statistical and data mining (data exploration) techniques, specifically targeted for the extraction of actionable knowledge from large volumes of existing data. 

All that knowledge extracted from the data provides, ultimately, support in decision making. According to a recent report by the McKinsey Global Institute this is the age of analytics since companies and other organizations are competing in a data driven world.

Career Prospects

Current and past students are now:

  • Project Managers (Sonae, Banif, INE, Farfetch)
  • Business Intelligence Managers (NOs, Continente)
  • Credit Managers (Credifin)
  • Data analysts (Bank of Portugal, Banif)
  • Managers and developers of websites (INE)
  • Members of teams developing advanced decision support applications (Unicer, Sonae / Enabler, Sonae / Celdata, Siemens)
  • Researchers and professors

Accreditation

FEP received the AACSB international accreditation, one of the most important international certifications in the area of business education. 

Programme Structure

Courses included:

  • Data Mining
  • Data Bases and Programming
  • Applied Statistics
  • Data Analysis
  • Laboratory
  • Optimization
  • Forecasting Methods and Time Series

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Language

English

Credits

120 ECTS

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Tuition Fee

To alway see correct tuition fees
  • International

    5000 EUR/year
    Tuition Fee
    Based on the tuition of 5000 EUR per year during 24 months.
  • National

    1500 EUR/year
    Tuition Fee
    Based on the tuition of 1500 EUR per year during 24 months.

Tuition fees for academic year 2022/23

This information does not exempt you from reading the information available on the official website: https://s.up.pt/p9is

Living costs for Porto

556 - 865 EUR /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Data Analytics
-
School of Economics and Management - University of Porto

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