I love programming, there's something about it that appeals to me. This, of course, depends on the specific course requirements of each program. Generally speaking, computational science is closer to the "raw numbers" than computer science. This is a unique opportunity to have a huge impact on Barnard women, and with them, on the world. Computer Science vs Computer Engineering: Roles and Responsibilities. The disciple that you choose has little to do with what it deals with and is mostly depended upon what your want as your outcome after finishing the course. Computational science, also known as scientific computing, is the application of mathematical models to computations for scientific disciplines. Computational science, on the other hand, which is the topic of this site, is about effectively using computers to solve problems in other scientific fields, including physics, chemistry, biology, and even social sciences. In my limited experience, I think this is a trade-off of geographical flexibility. The only difference between an MSCS and MSCSE curriculum would be a difference of two courses. I am extremely excited to build a computer science program at Barnard focused around a center for computational science. For instance, if you are looking to work in cybersecurity or as a systems administrator, computer science may be a good fit for you. Computer Science vs. Computational Math. I have a background (undergraduate degree) in Electrical , and I recently shifted to Computer Science , and especially the booming wannable area of Machine Learning. I am an MSCSE candidate at Georgia Tech. If I didn't love it though, and it were just about wanting to make money - I could see it being a pure hell though. Research in applied mathematics at Yale comprises mathematics and its applications in computer science, statistics, engineering, and other sciences. muftogun 38 replies 6 threads Junior Member. April 2013 edited April 2013 in Engineering Majors. Computing plays an increasingly central role in our lives, in creation and innovation, and in nearly all scientific disciplines. There is some overlap between CS and Scicomp, mainly in the form of algorithms for numerical analysis. One strategy for determining which path is right for you is to consider your career goals. Therefore, I joined the 2016/17 cohort of the Data Science MSc at City, University of London’s Computer Science department. This was the second year the course was offered at this university and, at the time, was the only university in London that offered a Data Science Masters (though others had some variations of this). 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