I am a senior student in a 5-year integrated Masters's degree in Applied Mathematics and I have selected specialization in Mathematics for Computer Science(Data structures, Algorithms, and Complexity, Graph Theory, etc.). I have a good understanding of Statistics, Probability, etc. and a decent knowledge of Python, R, Java, SQL, PHP. Last year I had a class "Data Analysis using R" and I loved it so I was thinking of following a career in data science and machine learning and therefore doing an MSc in this field.
Unfortunately, I don't have good grades and therefore it is pretty hard to make it for a Master's degree in a good university, also I don't think I could make it for this year applications so that means I will have to wait another year until I can apply again.
So I was wondering if I really need a masters degree for a junior level job in this field, since I think I am halfway there with my background, or if I could make it by studying on my own for some months(or a MOOC) about ML, Big Data, etc?
Unfortunately, I don't have good grades and therefore it is pretty hard to make it for a Master's degree in a good university, also I don't think I could make it for this year applications so that means I will have to wait another year until I can apply again.
So I was wondering if I really need a masters degree for a junior level job in this field, since I think I am halfway there with my background, or if I could make it by studying on my own for some months(or a MOOC) about ML, Big Data, etc?
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