Overview

The B.Sc. in Analysis and Engineering of Big Data at Universidade Nova de Lisboa stands out due to its commitment to providing students with a top-tier education in the rapidly advancing field of data science. Nestled within one of the leading institutions in Portugal, this programme is tailored to meet the needs of modern industries that rely heavily on data analytics and engineering. The university is renowned for its innovative approach to education, ensuring that students are not only well-versed in theoretical knowledge but also gain practical experience through hands-on projects and collaborations with industry leaders.

Why Analysis and Engineering of Big Data at Universidade Nova de Lisboa?

Universidade Nova de Lisboa is consistently ranked among the top universities in Portugal and has established significant partnerships with various industries, enhancing the learning experience for students. The university boasts state-of-the-art facilities that support cutting-edge research and practical applications of big data technologies. Students benefit from a curriculum that is regularly updated to reflect the latest trends and advancements in the field, ensuring they are well-prepared for the workforce.

Tuition Fee Breakdown

The tuition fees for the B.Sc. in Analysis and Engineering of Big Data are structured as follows:

International students: EUR 7,000 per year
European students: EUR 2,000 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum for the B.Sc. in Analysis and Engineering of Big Data includes a variety of modules designed to provide a comprehensive understanding of the field. Key areas of study encompass:

Data Structures and Algorithms
Database Management Systems
Data Mining and Machine Learning
Big Data Technologies
Statistical Analysis
Data Visualisation
Cloud Computing and Data Engineering

This diverse syllabus ensures that students gain a well-rounded education, equipping them with the necessary skills to excel in the data-driven landscape.

Careers with Analysis and Engineering of Big Data

Graduates of the B.Sc. in Analysis and Engineering of Big Data find themselves well-prepared for various roles in the tech industry. Alumni have successfully pursued careers in data analysis, data engineering, and business intelligence across multiple sectors. They are employed by leading companies that leverage data to drive decision-making and innovation, making them valuable assets in today’s data-centric environment.

Programme Structure

Courses include:

Machine Learning

Multivariate Statistics

Computational Numerical Statistics

Information Retrieval

Systems for Big Data Processing
Entrepreneurship

Key information

Duration

Full-time
- 24 months

Start dates & application deadlines

Starting 2026-09-02 00:00:00
- Apply before 2026-07-17 00:00:00

Language

English

Credits

120 ECTS

Delivered

On Campus

Campus Location

Lisbon, Portugal

Disciplines

Data Science & Big Data Data Analytics View 17 other Masters in Data Science & Big Data in Portugal

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

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

Other requirements

General requirements

Holders of a 1st degree (licenciado or legal equivalent) in the areas of Engineering, Exact Sciences, Natural Sciences or Economy, subject to curricular appreciation of the candidate. The program requires mathematical bases and notions of computation and programming at the level of a first general engineering cycle ;

Holders of a foreign higher academic degree conferred after a 1st cycle of studies organized in the above areas, in accordance with the principles of the Bologna Process by a State adhering to this Process;

Holders of a foreign higher academic degree, in those areas, that is recognized as meeting the objectives of the degree of licenciado by the Scientific Council of the Faculty of Sciences and Technology;

Holders of an academic, scientific or professional curriculum recognized by the Scientific Committee of the programme, as testifying the ability to carry out this programme.

Possible interview

Student Insurance via Studyportals Partner

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.

Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

Get your student insurance now

Starting from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Universidade Nova de Lisboa and/or in Portugal, please visit Student Insurance Portal.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

7000 EUR / year

≈ 7000 EUR / year
EU/EEA Applies to you

Applies to you

EU/EEA Nationals

2000 EUR / year

≈ 2000 EUR / year

Living costs

Lisbon

Portugal

630 - 1123 EUR / month

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

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

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Scholarships Information

Below you will find Master's scholarship opportunities for Analysis and Engineering of Big Data.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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