UC Berkeley’s Master of Financial Engineering at Haas School of Business continues to climb in this year’s rankings Risk.net Quant Guide, beating stiff competition from its East Coast rivals to finish third in 2022 – its highest score yet.
With a large faculty of 37 teachers, the program was nevertheless a little more selective this year, with 79 new students – old entrants numbered more than 90. And this, despite the course growing in popularity for the third consecutive year, with 749 applications received and 109 offers made. Offer holders appreciate the training: of the 109 candidates selected, 82 responded to their offers, for a solid acceptance rate of offer holders of 75%. The program also reports an increase in graduate salaries, with starting pay reaching $119,297 in the past year.
Program director Jacob Gallice says courses in data science topics such as natural language processing and machine learning have proven to be the most popular among students. New course content has been incorporated, he says, including a new decentralized finance module covering topics such as blockchain technology, smart contracts and decentralized lending.
“Programming is closely linked to the courses, the two main languages being C++ and Python”, explains Gallice. Risk.net. “We provide a pre-program course on C++, and this year added an additional course [class] on Python, which students can take to further prepare their coding skills before officially starting classes.
Instructors include: Nicolae Gârleanu, formerly of the Universities of Melbourne and Tokyo, who studies topics such as asset valuation; Ronald Kahn, who is also global head of equity research at BlackRock; and Gert Lanckriet, Head of Machine Learning at Amazon Music.
See the details of this establishment in the 2021 guide
See other universities and a guide to measurement charts