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21 October 2020 | Story Andre Damons | Photo Supplied
Monique Tangah (Economic and Management Sciences Faculty) won the PhD category of UFS Institutional Three-Minute Thesis competition hosted by the Postgraduate School.

Monique Tangah, a postgraduate student from the Faculty of Economic and Management Sciences at the University of the Free State (UFS), will represent the university on 13 November 2020 at the National Three-Minute Thesis, also known as the ‘3MT’, competition after she won the UFS competition. 

The UFS Postgraduate School hosted its Institutional 3MT on 9 October 2020 and winners chosen from each faculty competed against each other for the UFS Three-Minute Thesis title. Tangah, with her thesis titled, Cameroonian women’s empowerment through higher education: An African-feminist and Capability Approach Analysis, emerged victorious from a total of 20 students who are registered for their PhD and master's degrees. Tensions were high as the participants brought their research products of a very high standard forward in the virtual competition.

Willard Morgan, a student in the Faculty of Education, won the category for the Master’s Degree students with his title, Ideological representations of entrepreneurship in high school economic and management sciences textbooks.

The Three-Minute Thesis competition is an annual competition held at 200 universities across the world. It is open to PhD and master's students and challenges participants to present their research in just 180 seconds – in a way that is understood by an audience with no background in their specific research area.

Universities need to focus on the generation of new knowledge to solve critical problems in the country, continent and globally. The Three-Minute Thesis competition aims to achieve this by encouraging the increase of research output produced by master’s and PhD students. 


Winners and runners-up of the UFS competition for 2020 are:

For the PhD category
Winner: Monique Tangah (Economic and Management Sciences Faculty)
1st runner-up: Tamson Foster (Natural and Agricultural Sciences Faculty)
2nd runner-up: Monique Basson (Humanities)

For the Master’s category
Winner: Willard Morgan (Education)
1st runner-up: Kyla Dooley (Natural and Agricultural Sciences Faculty)
2nd runner-up: Bonolo Makhalemele (Natural and Agricultural Sciences Faculty)

The National Three-Minute thesis will be hosted virtually on 13 November 2020. PhD finalists from South African universities will compete for the 3MT SA title. Whose research thesis will stand the test of time? Join to find out.

Date: 13 November 2020
Time: 10:00-13:00

For more information, email Reabetswe Mabine at mabiner@ufs.ac.za

News Archive

UFS alumnus receives PhD in Statistics from the University of Oxford
2016-06-03

Description: DW Bester  Tags: DW Bester

In May of this year, DW Bester obtained
a DPhil in Statistics at the University of
Oxford.
Photo: Supplied

On 14 May this year, Dr DW Bester received a DPhil in Statistics from the University of Oxford. The entire ceremony, which was held in the Sheldonian Theatre in Oxford, was conducted in Latin, as has been the case for the past 800 years.

Dr Bester completed his undergraduate studies and his honours degree at the University of the Free State (UFS). “At first, I was only planning to study for a master’s degree, but was privileged to get an opportunity to do a PhD as well. I didn’t think twice!” he says.

Studies at the University of Oxford


Universities in England do not require a master’s degree for PhD studies. With the help of Prof Max Finkelstein from the UFS Department of Mathematical Statistics and Actuarial Science, Dr Bester registered for the DPhil programme in Statistics directly after his honours studies.

“The title of my thesis was: Joint survival models: A Bayesian investigation of longitudinal volatility. It dealt with a problem in the medical field to determine the cause of stroke risk: is it the absolute level of blood pressure, or the volatility thereof? The analysis of this question led to interesting models which needed advanced application techniques. I had to study these techniques and write programmes for their application.

Although Dr Bester is working currently as the technical head of a company that calculates insurance for power stations, satellites, rockets, and cyber risks, he would like to continue working with his Oxford supervisor in future to make the techniques they have developed more accessible for researchers outside of the field of statistics.
 
“Studying at Oxford requires hard work, perseverance, and a lot of luck. Luck plays a big role, since there are no guarantees that hard work will ensure you a spot in one of the top universities.

Regarding his studies at Oxford, Dr Bester thinks back on his exposure to the GNU/Linux operating system, and free software. “I have seen how valuable this is for analyses in practice. I also had the privilege of meeting the father of free software, Richard Stallman,” Dr Bester says.

2011 Rhodes Scholar

He was elected as Rhodes Scholar in 2011. According to Dr Bester, who has been interested in Mathematics since high school, the Rhodes scholarship was something of a fluke. He applied for the Rhodes scholarship on the recommendation of Prof Robert Schall of the Department of Mathematical Statistics and Actuarial Science.

Role of the UFS in his successes


In addition to the continued support from the team of passionate professors and lecturers at the UFS, the actuarial degree at the UFS is fraught with statistics. Emphasis is also placed on Bayesian statistics. This was crucial to his studies at Oxford. According to Dr Bester, this topic is emphasised strongly in the international statistics community.

Dr Bester regards the work done by two of his lecturers, Michael von Maltitz and Sean van der Merwe, among his highlights at the UFS. Since our first year, they have created an atmosphere of camaraderie among the students. “I think this contributed to the success of everybody. They also make an effort to present topics outside of the syllabus regularly,” says Bester.

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