MS IN DATA SCIENCE VS MS IN AI – WHICH ONE SHOULD YOU CHOOSE?



Approached with trepidation until not long ago, data science and artificial intelligence have emerged as popular career choices today. Not only do they prepare aspirants for the future of work amid large scale automation, they are also industry-agnostic and are labelled as highly lucrative. 


It is no wonder then that a slew of Master’s programs offering specialisations in these two disciplines has emerged over the last few years. What is more, with the proliferation of digital courses, these long-term programs are also being provided through online offerings.


While both data science and artificial intelligence courses are plenty, which one should you go for?


Data Science & AI: Understanding the Difference


In broad terms, artificial intelligence powers various real-world applications by enabling faster and more error-proof outcomes across different fields. A subset of AI, machine learning helps make these applications more accurate with the help of data.


Data Science, on the other hand, makes use of ML – and other technologies like cloud computing, big data analytics, etc – to analyse massive datasets to extract insights and make future predictions. In other words, data science uses AI as a tool to solve problems for organisations. Both have their role in businesses and their potential have led to universities launching Master’s programs in data science and artificial intelligence in recent years.


Thus, rather than advocating one over the other, a better approach would be to enlist what you can expect from each of these courses, so that based on your career goals and aspirations, you may be able to make an informed decision on which course to choose from.