Covid didn’t disrupt the University of Technology Sydney’s (UTS) Master of Quantitative Finance programme quite as much as it may have affected others. Despite its relatively small size — with an average class size of 20 students in compulsory modules — the programme attracts a high number of part-time students. The present cohort comprises 16 full-time students and 12 part-timers. The move to online teaching and pre-recorded lectures for much of 2020 did not faze students who are mixing study with work or other efforts, although there was mixed feedback about some aspects of the shift, according to programme director and senior lecturer in finance Nadima El-Hassan. “Students seem to really like the pre-recorded lectures: they give students a lot of flexibility in how and when they learn,” she says. However, some report that they “miss the interaction with academics and other students, especially in lab sessions”, she adds. Exams were also given as take-home or timed online tests. For the latest intake, applications increased slightly over the previous year – from 72 to 78 – and UTS extended 43 offers versus 41 for the prior intake. Contact hours, homework hours, and rates of employment and further study have all remained static, as have post-graduation salaries. In a slight shift in employment choices following the completion of the programme, there was an increase in the percentage of graduates entering banking jobs versus the previous year’s cohort.
Quant Guide 2021: University of Technology Sydney
Visiting staff teaching hours
Staff to Students
12 months full-time 24 months part-time. 3 semesters full -time.
18 hours per week (648 hours over the duration of the degree)
Application deadline date
Average class size
Eckhard Platen: 5078 citations Alexander Novikov: 758 citations Erik Schlögl: 171 citations Hardy Hulley: 154 citations