The Department of Geomatics Engineering, originally under the College of Civil Engineering and Architecture, produced surveying and geomatics professionals for over three decades. In 2025, the department was merged with the Department of Architecture to form a unified academic unit under the College of Civil Engineering and Architecture. The combined department now offers programs in Architecture, Urban Planning, and Geoinformatics Engineering. The MSc in Geoinformatics Engineering was launched in 2016, revised in 2022, and the present document represents the second major revision (2026). The program equips students to acquire, process, analyze, and disseminate spatial information, contributing to Ethiopia's digital economy. The study period is two years on a full-time basis.
Program Educational Objectives (PEOs)
- PEO1. Produce skilled professionals capable of conducting detailed pre-feasibility studies, planning, designing, and implementing complex Geoinformatics engineering projects, and having a high potential for industry leadership roles.
- PEO2. Develop professionals who can design and carry out independent research in the broad field of Geoinformatics engineering while taking into consideration environmental and social concerns, perhaps as part of a multi-disciplinary research and development initiative.
- PEO3. Produce Geoinformatics Engineers with strong interpersonal skills, awareness of professional and ethical responsibility, and a desire to take the initiative and pursue advancing responsibilities in order to serve as competent professionals.
- PEO4. Produce experts with the potential to design, develop, and evaluate innovative geospatial analysis and modeling tools and apply them to community, industry, and policy needs.
- PEO5. Train professionals capable of conceptualizing complex geospatial information concerns, pursuing advanced engineering studies and research.
Student Outcomes (SOs)
- SO1. Engineering knowledge: ability to apply knowledge of mathematics, science, and an engineering specialization to the solution of complex Geoinformatics engineering problems.
- SO2. Investigation and analysis: ability to investigate complex Geoinformatics engineering problems in a methodological way, including researching literature, developing and conducting appropriate experiments, analyzing and interpreting experimental data, synthesizing information, and using engineering judgment to derive substantiated conclusions.
- SO3. Design or development of solutions: ability to design solutions for Geoinformatics engineering problems and design systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, economic, and environmental considerations.
- SO4. Modern tool usage: ability to create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modeling, to complex Geoinformatics engineering activities, with an understanding of the limitations.
- SO5. Environment and Sustainability: ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts and demonstrate knowledge of, and need for, sustainable development.
- SO6. Communication: ability to effectively communicate, both orally and in writing, on complex engineering activities with the engineering community and society at large, such as by comprehending and writing effective reports and design documentation, making effective presentations, and giving and receiving clear
- SO7. Individual and Team Work: ability to work effectively, as an individual or on a team, in multifaceted and/or multidisciplinary settings, whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives.
- SO8. Lifelong learning: ability to recognize the importance of and pursue lifelong learning in the broader context of innovation and technological developments, using appropriate learning strategies.
Credit Distribution of Course Category
|
NO |
Course type |
Total credi hour |
ECTS |
|
1 |
Compulsory mandatory Courses |
13 |
21.67 |
|
2 |
Compulsory elective Courses |
14 |
23.33 |
|
3 |
Compulsory elective Courses |
3 |
5 |
|
4 |
Seminars |
2 |
3.34 |
|
5 |
Master Thesis |
6 |
10 |
|
TOTAL CREDIT HOUR |
38 |
71.68 |
|

