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Limited space left in UFS undergraduate programmes

12 February 2018

The University of the Free State (UFS) has an enrolment plan for 2007–2019 that was approved by the Department of Higher Education and Training (DHET). The university is compelled to adhere to these enrolment targets, as over-enrolment poses a risk to the academic integrity, financial sustainability, and student success of the university.

The UFS received 47 000 applications for admission in 2018, of which 17 000 applicants received final admission. All admission letters clearly stipulate that admission is subject to availability of space during registration. The enrolment target for new first-time entering students for 2018 is 8 000, therefore only 8 000 students can be registered across the university’s three campuses during this intake period.

The Executive Management of the UFS welcomes the fact that President Jacob Zuma’s announcement on 16 December 2017 about free education for the poor and working class has allowed many more students the opportunity to register. Several meetings between the Executive Management and the Student Representative Council (SRC) have taken place since the beginning of 2018 to discuss the implications of the President’s announcement. Engagement with the SRC regarding the registration process is also continuously taking place.

Online registration for all students opened on 8 January 2018. The UFS has put several measures in place to assist new first-time entering undergraduate students. Furthermore, students who have moved into residences and participated in the university’s Gateway Programme, as well as students who arrived on campus, were assisted to register for programmes with available space. In cases where the first option of study was full, students were redirected to other programmes with available space within the specific faculty or other faculties, provided that they comply with the relevant admission criteria. Only mainstream programmes in the Faculty of Economic and Management Sciences now have space left. The rest of the undergraduate programmes in all faculties on all the campuses are full.

Students who could not be accommodated in any of the programmes due to limited space are being directed to the Central Application Clearing House (CACH).

News Archive

Death may come in adorable little packages

2015-03-23

The main host of the Lassa virus is the Natal Mulimammate mouse.

Photo: Supplied

Postdoctoral researcher, Abdon Atangana, of the Institute for Groundwater Studies at the university recently published an article online about the Lassa Haemorrhagic fever in the Natural Computing Applications Forum. In addition to the terminal transmissible sickness recognised as Ebola haemorrhagic fever, there is another strain called Lassa haemorrhagic fever.

The disease is classified under the arenaviridae virus family. The first outbreaks of the disease were observed in Nigeria, Liberia, Sierra Leone, and the Central African Republic. However, it was first described in 1969 in the town of Lassa, in Borno State, Nigeria.

The main host of the Lassa virus is the Natal Mulimammate mouse, an animal indigenous to most of Sub-Saharan Africa. The contamination in humans characteristically takes place through exposure to animal excrement through the respiratory or gastrointestinal tracts.

Mouthfuls of air containing tiny particle of infective material are understood to be the most noteworthy way of exposure. It is also possible to acquire the infection through broken skin or mucous membranes that are directly exposed to the infective material.

“The aim of my research was to propose a novel mathematical equation used to describe the spread of the illness amongst pregnant women in West Africa. To achieve this, I used my newly-proposed derivative with fractional order called beta-derivative. Since none of the commonly used integral transform could be used to derive the solution of the proposed model, I proposed a new integral transform called Atangana-Transform, and used it, together with some iterative technique, to derive the solution of the model.

“My numerical simulations show that the disease is as deadly amongst pregnant women as Ebola,” Abdon said.

Abdon’s research was submitted to one of Springer’s top-tier journals with an impact factor 1.78. The paper was accepted and published February 2015.