Master Degree in Environmental Engineering, Specialization: Modern Engineering in Water Management
Area of Studies
agricultural sciences
Degree
Master
Degree (in English)
MSc
Language(s)
- English
Course Duration
3 semesters
ECTS points
90
Department
Faculty of Civil and Environmental Engineering, Warsaw University of Life Sciences – SGGW
Tuition and Other Fees
4100 PLN/semester; for Polish nationals: free of charge
Application Deadline(s)
Date of commencement of studies: March Recruitment calendar - https://www.sggw.edu.pl/en/recruitment/
Course Description
Course Profile
Aim of the programme:
The Faculty of Civil and Environmental Engineering at SGGW, will launch the new international studies “Modern engineering in water management”. The Faculty of Civil and Environmental Engineering has the aim to offer the students holistic and interdisciplinary knowledge in the area of water management and environmental engineering. Specialists from different faculties of Warsaw University of Life Sciences (SGGW) and visiting professors from abroad will present the contents.
Studies are focused on both technical and ecological aspects of the environment, emphasizing the role of the human in shaping sustainable landscapes and ecosystems. Specifically, students will obtain a complex knowledge of the integral approach in water management in the age of environmental droughts and climate change. The program is divided into three semesters. It consists of lectures, seminars, workshops, lab works, and field research conducted in both partner countries: Poland and Kazakhstan.
Career prospects:
The course will equip students with a range of transferable skills, and an ideal combination for a leading career in environmental engineering. It will allow demonstrating the ability to work independently on a complex topic and demonstrate initiative in the solution of engineering challenges.
Education Requirements
Entry requirements:
- diploma of engineer of related field of the first cycle studies, for which the effects of education are convergent with the learning outcomes expected of the candidates; if the convergence is incomplete, the student will be obliged to supplement the competence gaps by completing the subjects specified during the interview, in an amount not exceeding 30 ECTS, which is the limit of admissible discrepancy (Candidates permanently living outside Poland, who cannot come personally to interview, will be qualified on the basis of the documentation);
- in case of number of candidates exceeding the admission limit – in the first place the graduates form first cycle studies in environmental engineering will be admitted base on the average grade from first-cycle studies; in the second place the graduates form first cycle studies in related fields of study will be admitted base on the average grade from first-cycle studies;
- confirmed knowledge of English (certificate of English language at least level B2 or taking the language proficiency test);
Other Requirements
Confirmed knowledge of English language
Contact
Student Affairs Office: admission@sggw.edu.pl
Faculty Coordinator: wieslaw_ptach@sggw.edu.pl
Warsaw University of Life Sciences - SGGW
Nowoursynowska 166
02-787 Warsaw, Poland
phone: +48 22 59 310 25
email: admission@sggw.edu.pl
www: http://www.sggw.edu.pl/en/
Study programmes
- Bachelor Degree in Food Science: Technology and Nutrition
- Bachelor Degree in Organic Agriculture and Food Production
- Bachelor of Engineering in Biotechnology
- Environmental Protection Specialization: Restoration and Management of Environment
- Master Degree in Civil Engineering, Specialization: Engineering Infrastructure
- Master Degree in Environmental Engineering, Specialization: Modern Engineering in Water Management
- Master Degree in Environmental Protection, Specialization: Restoration and Management of Environment
- Master Degree in Finance and Accounting
- Master Degree in Forestry, Specialization: Forest Information Technology
- Master Degree in Horticulture, Specialization: General Horticulture
- Master Degree in Informatics and Econometrics, Specialization: Big Data Analytics
- Veterinary Medicine