Strategic Partnership between Ajman Statistics Center and the Ajman Private Education Office to Support Educational Policies and Enhance Data Exchange

As part of efforts to strengthen institutional integration and expand collaboration among government entities, Ajman Statistics Center has signed a Memorandum of Understanding (MoU) with the Ajman Private Education Office. This strategic step aims to establish joint cooperation, facilitate data and information exchange, and develop technical and human capacities in ways that enhance the effectiveness of knowledge- and statistics-based educational policies, while supporting decision-making mechanisms with accurate and reliable data.

Her Excellency Dr. Hajar Saeed Al Hubaishi, Director General of Ajman Statistics Center, emphasized that this MoU reflects the strategic direction of the Government of Ajman to foster integration among government entities and promote knowledge and information sharing. She noted that the agreement serves as a fundamental pillar for strengthening cooperation with the private education sector by establishing mechanisms for exchanging relevant data and studies, and by unifying efforts to build advanced statistical capacities within government personnel. Moreover, it contributes to supporting the educational investment environment by providing accurate and reliable data that enable the development of effective policies and informed initiatives to enhance the quality of education.

Her Excellency added that the MoU aims to build a comprehensive framework for knowledge exchange and institutional integration by collaborating on the implementation of studies, research, and surveys, organizing regular meetings to review best practices, forming joint working groups to achieve shared objectives and activate mutual commitments, as well as cooperating in training and qualification programs to build national capabilities capable of keeping pace with statistical and professional advancements.

For his part, His Excellency Mr. Mahmoud Khalil Al Hashimi, Executive Director of the Private Education Office, expressed his pride in this partnership and praised the vital role played by Ajman Statistics Center in supporting decision-making processes through the provision of accurate and reliable data. He noted that this MoU represents a qualitative leap in the development of educational policies based on well-studied scientific principles and enhances the efficiency of the educational environment through the exchange of expertise and knowledge between both parties, which positively impacts the quality of educational outcomes and the sustainability of institutional development.

The MoU outlines mutual commitments between the two parties. Ajman Statistics Center commits to maintaining the confidentiality and security of the information it receives in accordance with the emirate's approved policies, reporting any changes to administrative records, and utilizing validated information in the context of register-based censuses. In return, the Private Education Office commits to providing accurate and regularly updated information, assigning authorized personnel to access statistical data, and ensuring secure mechanisms for information exchange, in addition to notifying the Center of any changes in administrative records.

Furthermore, the agreement stipulates the formation of a joint technical committee from both parties to plan areas of cooperation and develop an annual work plan to be approved by both entities’ management. The committee will hold regular meetings to follow up on implementation and evaluate progress. A partnership coordinator from each side has been appointed to facilitate communication and follow up on the MoU’s activation, ensuring the effective realization of the agreed-upon goals.

This agreement embodies both parties’ commitment to advancing digital transformation in the Emirate of Ajman and enhancing the knowledge infrastructure, thereby contributing to the improvement of government services and reinforcing the emirate’s position as a leading model in institutional integration and modern statistical practices.