A new three-story, 4,600 sq. m academic building of the Yessenov University Maritime Academy has opened in Aktau, designed to accommodate 900 students. The building was constructed using the university’s own funds. Future captains, navigators, engineers and logistics specialists are trained on modern Norwegian-made marine simulators — K-SIM Navigation and K-SIM Engine. The Maritime Academy...Read More
An artificial intelligence school built on the international 01 Edu model has launched at the Yessenov University Technopark — a teaching system with no instructors or lectures, based on peer-to-peer and teamwork principles. At the same time, the first cohort of the FabLab program was completed, covering three tracks: robotics, 3D design, and textile art....Read More
President of the Republic of Kazakhstan Kassym-Jomart Tokayev familiarized himself with the work of the technopark located on the grounds of the Yessenov Caspian University of Technology and Engineering. The President toured the training zone for IT specialists under an international program, as well as a laboratory for developing digital and telecommunications competencies. Speaking with...Read More
The university held a scientific and practical conference dedicated to the 140th anniversary of the birth of public figure Orazmaganbet Turmaganbetuly. The event was covered by lada.kz.Read More
Yessenov University has entered the QS World University Rankings 2026 for the first time, placing in the 1201–1400 band — a significant milestone for a young regional institution seeking greater international recognition. Reported by The Astana Times.Read More
Yessenov University scientists are studying paraffin deposit formation processes at oil fields in the Mangystau region. The research aims to improve oil recovery efficiency in the region. The story was published on the official portal of the Government of the Republic of Kazakhstan, gov.kz.Read More
Scientists at Yessenov University, together with colleagues from Belgorod State National Research University, are developing a non-invasive livestock monitoring system based on cameras and computer vision algorithms. The technology tracks animal behavior and physiological indicators without causing stress to the animals. Read more at kz24.news.Read More
