Hello student!

Students from any background can become a data scientist whether its Mathematics, Statistics, CS, Economics or Arts but you must be very prompt in analytical skills.

So you have BSc in Mathematics, you must have exposure to Lagrange’s and Fourier Transform. You might have worked on Digital Signal Processing also. These mathematical theorems are used in Data Science frequently. When you have to design a Neural Network or a Deep Learning Algorithm based model, data scientists use transformation.You can start by learning R Language and Rstudio IDE. So, you are at advantage choosing BSc mathematics and computing. Just couple your skills with programming.

You can next go for a MSc and then Ph.D in Computer Science (or an specialization course). The specialization (or Ph.D) will give you support to expand your programmer’s side and can help you to develop a platform to offer your analysis easier to your clients. But if you just want the BSc, you can go for Stats and take online classes (Coursera, edX, udemy and DataCamp offers a lot of them) to improve your programming skills.

Wish you all the best !