Computational science is a specialized field that uses high performance computing to analyze science and engineering data. Online master's degree programs in this field are available, though rare, and usually result in a Master of Science in Computational Science and Engineering. The distance learning format provides added flexibility for students who are either unable to attend in person or simply prefer online learning.
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Online Master of Computational Science Program Information
Online programs offer interactive formats and flexible scheduling that can be a benefit for some students. Computational science programs can be completed entirely online but might also give students the option of combining on-campus and distance learning to accommodate varying schedules. Graduate programs in computational science focus on applying advanced mathematic and engineering concepts to modern computing, software programming, and algorithmic design. Online Master of Computational Science and Engineering programs involve around 30 class credits and can include concentration areas. The following are common graduate courses in computational science:
Learn the applications of computational science by studying techniques of algorithm design. Increase your ability to create high-performance, scalable algorithms while also maximizing your knowledge with regard to optimization, complexity analysis, and experimentation.
Study concepts in complex data analysis and practice transforming this information into usable results. Topics of study can include methods for visualizing data, machine learning concepts, and data mining techniques so that you can develop skills in making large data sets more accessible. You'll also examine the most current software technology used in data analysis.
High Performance Computing
Learn methods for improving the speed of algorithms and developing a wide variety of software applications. These and other topics of study are discussed to help you learn programming methods for increasing the performance and efficiency of high-performance computers used to analyze big data and conduct multi-level simulations.
Study the construction of multicore software systems and their role in advanced computing. Learn how to use stacks, queues, and hash tables to facilitate concurrent computation. Maximize your expertise in the areas of synchronization and parallel graph algorithms.
Modeling and Simulation
Examine techniques for designing, implementing, and analyzing various numerical models. Learn how these models can be used to develop computer software. You can also increase your ability to apply discrete and continuous models as well as interpret the results of deterministic and stochastic approaches.
Discuss how linear algebra can be effectively applied to programming and computational systems. Learn to assess the results of various computational methods and test them for reliability, accuracy, and adaptability. Topics of study might include leas squares, eigen value problems, and singular value decomposition.
In order to be admitted to a graduate program in computational science you will need to have completed an undergraduate degree with a minimum GPA. Certain course prerequisites in mathematics, engineering, computer programming, and software development must also be met. You must also provide all transcripts, GRE (Graduate Record Examination) results, and letters of recommendation.
Computational science is a unique and complex field that examines the highest levels of computational analysis and modeling. Completing an online Master of Computational Science and Engineering degree can provide you with a strong base of technological expertise that can qualify you for top careers in the industry.