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Technical University of Munich

Quality
0.46
Post-master’s salaries
$50,874
% of teaching conducted remotely
100%
Url
https://www.risk.net/quantitative-finance/7719611/quant-guide-2021-technical-university-of-munich
Teaching staff
15
Salary ($)
50874
Description
The MSc in Mathematical Finance and Actuarial Science at the Technical University of Munich (TUM) has shrunk in some ways over the past year, probably at least in part due to the coronavirus. It received 100 applications for the current academic year versus the previous year’s 200 and enrolled 25 full-time students, compared with 40 previously. But that does not mean the university has scaled back its ambitions for the course. While most quant finance programmes have a single director, this master’s has three. Since the 2020 edition of the Quant Guide, programme leaders Rudi Zagst and Nina Gantert – chairs of mathematical finance and probability theory respectively – have been joined by Mathias Drton, a professor of mathematical statistics. Two new modules have also been incorporated into the four-term programme, taught in both English and German: a class in high-dimensional statistics and a class in fundamental mathematical statistics. A high proportion of the course’s graduates move on to further study, with 35% of students tackling PhD programmes or another master’s-level course after graduation. For those who enter the job market, TUM reports a 100% employment rate, with average starting salaries of $50,874. Aleksey Min, a mathematics professor, says teaching has been delivered largely online in the last 12 months, and some classes have proven particularly popular: discrete- and continuous-time finance; portfolio analysis; computational statistics; and quantitative risk management. Still, students regret the loss of on-site lectures and face-to-face discussions, he says. And, as have , the TUM programme has experienced some foul play in the new environment. Staff have identified several cases of cheating on take-home assessments, Min says: “Those students failed the corresponding exams.”
Rank
13
Offers accepted
34
Programme director
Nina Gantert, Mathias Drton, Rudi Zagst
Address
Munich, Germany
Title
Quant Guide 2021: Technical University of Munich
Applications received
100
Full-time students
25
Accept. rate
0.47
salary_descrepancy
6322.5
Visiting staff teaching hours
60 hours
sheetnames
Academia
0.35
Students accepting
0.53
Class size
20
Staff to Students
0.6
peer_assessment
3.1
Average Citations
1872.25
Programme duration
1 year
Homework hours
25 hours per week
Offers made
47
Application deadline date
2020/12/18
tuition
72225
employment_descrepancy
0.06
Average class size
20
Most-cited lecturers
Claudia Czado: 4034 citations Mathias Drton: 2584 citations Matthias Scherer: 550 citations Rudi Zagst: 321 citations
Ranking
50
Other
0.25
Consulting
0.1
Industry-affiliated teaching staff
0
Graduates employed in
Banking: 10% asset management: 10% consulting: 10% fintech: 10% academia: 35% other: 25%
emplm_rate_grad
0.64
Industry-affiliated lecturers
0.33
International students
14
class_descrepancy
11.5
% of take-home/remote exams
80%
emplm_rate_3_month_aft
0.93
Remuneration
0.13
avr_start_salary_bonus
97649.5
Employment rate
0.95
Teaching hours
675 hours
Reputation
0.61
Part-time students
0
cohort_size
31
Asset Management
0.1
Gender balance of teaching staff
67% male, 33% female
Banking
0.1
missing_data
18
avr_gre_quant
168
Website
https://www.tum.de/en/studies/degree-programs/detail/mathematical-finance-and-actuarial-science-master-of-science-msc/
Fintech
0.1
Fees
€569.60
Final
0.4
Gender balance of students
53% male, 47% female
Empl. rate
1
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