Master in Data Science in Agriculture, Food, Forest and Environment

Located in Lisbon, Portugal, the University of Lisbon is a great choice for international students. You will find a unique blend of history and modernity, with the university founded in 1911. The university's advantages include its large student body, with over 51,000 students, including nearly 10,000 international students, creating a diverse and inclusive environment. Specifically, you can benefit from the university's strong reputation and research opportunities.

The University of Lisbon focuses on many subjects, including programs in engineering, business, and medicine. Although specific program details are not available, you can expect to find a range of academic disciplines. As a student, you will have opportunities to engage with different departments and research areas, helping you to specialize in your chosen field.

As a student at the University of Lisbon, you will be based in Lisbon, a city with a rich history and culture. You will have access to many facilities and activities, both on and off campus. For instance, you can explore the city's historic neighborhoods, visit famous landmarks, or take part in local events and festivals. The university's location provides a unique and exciting experience, with many opportunities for you to get involved in campus life and the local community.

The Master in Data Science in Agriculture, Food, Forest and Environment at the University of Lisbon is a 2-year Master degree for students interested in data science applications. This program offers a unique blend of data science and environmental knowledge.

The curriculum includes data science techniques, environmental management, and sustainable use of natural resources. Students gain hands-on experience with big data in environmental contexts, precision agriculture, and forestry production, and collaborate with industry partners on projects with real-world impact.

Graduates can work as Data Scientists, Environmental Consultants, or Sustainability Specialists in agriculture, forestry, and environmental management. They can also pursue roles as Data Analysts, Research Scientists, or Innovation Managers, driving sustainable practices and innovations in resource management.