C++ Programming for Financial Engineering
Highly recommended by thousands of MFE students. Covers essential C++ topics with applications to financial engineering. Learn more Join!

Python for Finance with Intro to Data Science
Gain practical understanding of Python to read, understand, and write professional Python code for your first day on the job. Learn more Join!

An Intuition-Based Options Primer for FE
Ideal for entry level positions interviews and graduate studies, specializing in options trading arbitrage and options valuation models. Learn more Join!

Reply to thread

Message: <blockquote data-quote="VetaTester" data-source="post: 281186" data-attributes="member: 44786">Hello, I am currently a High School student who has just finished applying to university. I was fortunate enough to enter good UK and HK universities. However, I am currently struggling to make a choice between my courses. For starters, I got offered a place for UCL's "Statistics, Economics and Finance," but I am very unlikely to go to the UK due to my financial situation. It is quite stats heavy, which I suppose would be of great benefit, but my cost/benefit analysis from a financial standpoint suggests otherwise. I am mostly considering my HK universities. I have been offered a place for courses such as Financial Technologies and Quantitative Finance, but I am quite ignorant when it comes to job/growth prospects. To my understanding, FinTech offers a background on the applications of Big Data/Machine Learning in Finance. It is essentially a mixture between Comp Sci and Finance with some knowledge in financial regulations. To me, this seems too specialised. On the other hand, Quantitative Finance is quite Math/CompSci heavy with electives to understand financial theory, such as corporate finance. To me, this seems like I would have better job/growth prospects.Now, although I love STEM, I also love the humanities. I can't see myself getting a PhD in something like financial mathematics and working my days creating models. I do enjoy creating mathematical models, but I would love to be in positions that deal with investment decisions that do not rely purely on mathematics if that makes any sense. Thus, the current best case scenario I have entertained is as follows: (1) get my BSc in in Quant Finance, (2) Get a master's in financial mathematics, (3) Get my CFA. This combo seems to best prepare me for decision-making and model development, thus providing me with a lot of flexibility in the financial industry.I sincerely apologize for any possible ignorance I have demonstrated in my post. I am certain I have missed some nuances for some claims, but my research and interpretation has limited me to such extent. Thanks in advance for writing any opinion or personal insight into my current situation. Have a good day:D</blockquote>

Verification