Study

Certificate course in

Principles of Land Administration Information Systems

Land policy and land policy instruments determine how a government can provide access to land, offer tenure security, regulate the land market, implement land reform, protect the environment, and levy land taxes. Such tasks become even more challenging in post-conflict or post-disaster areas, and where government systems are in transition.

Applying relevant principles of business administration and geo-information technology, the course provides theoretical and practical knowledge and expertise on how to build a viable network of land administration organizations through a spatial data infrastructure.

For whom is the course relevant?

The course is designed for motivated academics and mid-career professionals involved, or likely to be involved, in developing land policy and land information infrastructure from an academic, managerial, technical and operational perspective.

The ultimate aim is to ensure that participants become respected and valuable policy designers in the field of spatial data infrastructure for land administration in their own countries.

What will be achieved?

On completion of the course, participants will be able to:

• develop land policy and the role of its instruments within the context of poverty reduction strategy papers and the Millennium Development Goals
• discuss implementation aspects of land policy, including the management of state land, urbanization and rural-urban transition, informal settlement, credit mechanisms, pro-poor land management, and land administration in post-disaster management
• identify elements of information policy and data protection
• identify and derive performance indicators in line with organizational goals, and develop public and private business administration
• use management techniques such as balanced score card and SWOT analysis in land administration organizations and change management
• understand the concepts of spatial data infrastructure and use advanced techniques such as UML/OCL for developing business cases in distributed environments for sharing multiple databases.

Admission requirements

Academic level and background

Applicants for the Certificate programme should have a Bachelor degree or equivalent from a recognised university in a discipline related to the course, preferably combined with working experience in a relevant field.

Some courses in the Certificate programme or separate modules require knowledge of, and skills in, working with GIS and/or digital image processing of remotely sensed data.

Skills in taught or related subjects are a prerequisite for some courses in the Certificate programme or separate modules. Even if the applicant satisfies the overall admission requirements, acceptance is not automatic.

English language

As all courses are given in English, proficiency in the English language is a prerequisite. If you are a national of one of the countries in this list (PDF), you are exempted from an English language test. Please note: the requirements when applying for fellowships may vary according to the regulations of the fellowship provider.

English language tests: minimum requirements

Only internationally recognised test results are accepted.

Computer skills

Applicants lacking computer experience are strongly advised to follow basic courses in their home countries.