Maths Spl

Requirements for Investment Bankers
A Bachelor's degree in business administration or a related field like finance is required to become an investment banker, though many employers prefer or require a master's degree. Because these professionals use mathematical models to predict potential outcomes, most undergraduate programs require students to complete courses in calculus and statistics. Advanced courses in these majors generally cover concepts ranging from mergers and acquisitions (M&A) to financial accounting.
Due to keen competition for jobs, students are generally advised to complete an internship prior to graduating. Internships allow students to work within an investment bank, analyzing assets and portfolios using valuation models. These positions help students hone their analytical skills, as well as network within the field. Connections made during internships can help aspiring investment bankers secure a job after graduating.

A Masters data science degree program or a PhD might be a way to go, in developing and waving a technical data science skill set to potential employers but is not a prerequisite to get started with a career in data science. Lack of a highly quantitative degree does not debar one from learning data science. It is possible to learn data science even without a Masters degree. For high-functioning individuals, who really have the knowledge and expertise with the required tech skills, having a Masters or a PhD does not matter in the data science space. Real data science experience always outweighs the time spent in acquiring a Masters degree or a PhD because getting a PhD can prove to be a very long grind.
A Masters or a PhD matters when you are applying for a job but not having a PhD is not going to stop you from becoming a data scientist. If you are applying for a data science job at Google, then a Masters or a PhD might be a requirement but other companies will have biases in other directions for hiring a data scientist. PhDs matter only if you are applying for a higher level data science position. When beginning to learn data science, PhD or a Masters Degree is not a necessity.