![]() ![]() Our interactive Quant Challenge is based on an algorithmic trading game and will put your Python skills to the test, while giving you unique insight into the world of quantitative finance and what we do at G-Research. On Wednesday 19 th October, G-Research will host its brand new Quant Challenge at The University of Oxford Campus. bears no responsibility for any inaccurate metrics, or their impact on a university’s position in the guide.Quant Challenge – University of Oxford Campus The ranking, as well as the guide, relies on the figures provided by the institutions to be accurate. Where that was not possible, the number of citations is considered as zero. Where possible, these figures were sourced from Google Scholar. ![]() Not all institutions provided the number of citations for their lecturers. ![]() Institutions that submitted insufficient data have not been considered. In order for an institution to be considered for this ranking, it needed to provide sufficient data for the calculation of the final score. The average number of students per class and the programme’s acceptance rate – an indicator of the selectivity of a programme – contribute negatively to the final score, so, the lower they are, the higher its final score. The eight variables and the respective weights are:ġ0% – Percentage of offer-holders who enrol ĥ% – Ratio between lecturers and students ġ0% – Number of industry-affiliated lecturers over the total number of lecturers ģ0% – Employment rate in finance sector six months after graduation ĥ% – Number of citations for the five most cited lecturers in the past four years Ģ5% – Average salary six months after graduation, adjusted for the purchasing power conversion factor provided by the World Bank. The methodology used for this year’s ranking is identical to that used for the 2020 guide. The institution with the highest score takes the top position in the ranking. The total score is the sum of the eight standardised metrics. These have been standardised with respect to the total pool of entries, and a weight has been assigned to each to reflect their contribution to the final score. To compile the ranking of the top 25 programmes, we considered eight metrics. Editing by Tom Osborn, Alex Krohn, Louise Marshall and Olesya Dmitracova Ranking methodology If the table is not displaying properly, click here for a pop-out version. Please click on an individual programme’s row to view its entry in the guide. These are not ordered by ranking, and by default are sorted alphabetically. The table below lists all courses featured in the 2021 guide. The guide should not be relied on for advice – but we hope it proves helpful to would-be master’s students, their teachers and their future employers. We will gladly consider feedback in this regard. bears no responsibility for exceptions, oversights or omissions. We are grateful for the help of programme directors and faculty administrators when collecting data. Programmes that failed to provide updated statistics were not included in the 2021 edition. The list of programmes is non-exhaustive. Programmes whose focus is on other subjects – corporate finance, management or statistics – that may still feature quantitative finance courses have not been considered here. Once again, the guide covers only master’s programmes in which the teaching of quantitative finance is central. Others submitted data too late to be ranked, while others failed to submit entirely. Some storied programmes, particularly those with large numbers of international students, have seen their ranking drop precipitously, as scores of applicants, having secured offers successfully, chose to defer their places until the start of the next academic year, often because of travel bans and regional restrictions – hurting a uni's percentage of offer holders enrolling score. Still, the composition of the top 25 has shifted somewhat, in part due to the impact of the coronavirus. US programmes continue their dominance: nine places in the top 25 are occupied by European courses, one more than last year – and one more than the positions representing New York City this year. A full list of all entries can also be found at the bottom of this page. The table below shows all 49 programmes – click on an institution’s entry in the table to access its full listing, featuring all programme data and interviews with course directors. Welcome to the latest edition of ’s guide to the world’s leading quantitative finance master’s programmes, and ranking of the top 25 courses.įorty-nine programmes feature in the 2021 edition of the guide, with the top 25 ranked in the table above according to ’s proprietary methodology ( jump to Methodology). Jump to: All programmes Methodology How to read the tables Click HERE to view the 2022 edition of the Guide ![]()
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