The PhD program is designed to educate future researchers in mathematical modelling, computational methods, and data analytics methodologies, needed to solve complex scientific and engineering problems, as well as in the management, mining and visualization of complex data sets. Students will be equipped with the necessary competencies and skills to become equally adept to assume roles in.
The CSE Ph.D. curriculum is designed to provide students with the practical skills and theoretical understandings they'll need to become leaders in the field of computational science and engineering. The program emphasizes the integration and application of principles from mathematics, science, engineering and computing to create computational models for solving important real-world problems.
The Ph.D. Program in Computational and Data Sciences offers an interdisciplinary and personalized course of study that emphasizes innovative research and applications of research. After completing a set of core courses teaching the basic methodologies and techniques of computational science, students will specialize in an area based on shared interests with one or more faculty mentors.PhD in Computational Science and Engineering. Admission can be gained by electronic application to the CSE PhD program. At the time of application, applicants will be required to indicate in which host department they would like to reside. Admission decisions will be conducted jointly between the Center for Computational Science and Engineering (CCSE) and the host department. The deadline to.Computational Science and Engineering (CSE) at Michigan Technological University is a PhD program engaging faculty and students in interdisciplinary research and teaching, focusing on computational aspects of science and engineering. Sample Areas of Interest. Bioinformatics; Computational Chemistry; National Defense; Weather Forecasting; View full listing for this program. Who you'll work with.
The Ph.D. in Computational Science produces broadly educated, research-capable scientists that are well prepared for diverse careers in academia, industry, business, and government research laboratories. Quick Facts. Program Type. Doctoral Program. Normative Time to Degree. 5 years. Capstone Type. Dissertation. Accordion Section. Admissions Requirements more. Students are admitted into the.Read More
The Computational Science Ph.D. program is designed for students who are working toward their doctoral degrees. However, most students in the program are able to complete a master's degree in either Mathematics or Computer Science before they graduate. A few extra courses and requirements are needed to complete the additional degree. This interdisciplinary program is designed to provide unique.Read More
The Centre for Doctoral Training in Computational Statistics and Data Science (COMPASS) is a four-year PhD training programme that addresses the pressing need, in the UK and internationally, for doctoral graduates who are able to combine fluency in both statistical and computational methods. The core of COMPASS is the Institute for Statistical Science in the School of Mathematics, integrated.Read More
Masters Degree in Applied Mathematics and Computational Sciences (AMCS) Computer Science and Engineering, PhD. Whether you are just beginning to pursue your education, or looking to advance your knowledge, an accredited computational science program is easy to find, so begin your search and start working towards your computational science.Read More
Online Computational Science degrees are available at a variety of different schools with as many as 3 degrees earned at the most popular school. Read more below about all schools that have offered online Computational Science degrees. If you are interested learning more about getting a degree online, check out our page dedicated to.Read More
Our MSc in Applied Computational Science and Engineering will educate future domain-specialists in computational science.. This MSc will also prepare for your PhD studies in fields such as computational techniques, numerical analysis, optimisation and inversion, fluid mechanics, heat transfer, and machine learning applications. The Applied Computational Science and Engineering MSc programme.Read More
The focus of Computational Science and Statistics (CSS) PhD Program is the development of sophisticated mathematical and statistical models and their implementation on high performance computing platforms. The program is research intensive. Coursework requirements are flexible, allowing a program of study to be designed to support research activity in a wide variety of areas.Read More
The Computational Science and Statistics - Data Science Specialization at South Dakota State University is designed to train students to integrate computational and statistical methodologies to formulate, model, analyze, and solve research problems of interest in a wide variety of applied and theoretical contexts. Find Alternative PhDs. Overview Programme outline Key facts Admission.Read More
The Computational Science and Statistics - Mathematics Specialization program at South Dakota State University is designed to train students to integrate computational and statistical methodologies to formulate, model, analyze, and solve research problems of interest in a wide variety of applied and theoretical contexts.Read More
The PhD in Modelling and Computational Science program, led by an interdisciplinary faculty team, is at the confluence of mathematics, science and computer science and is built on a solid foundation of high-quality research that is relevant to the needs of society. General information. Mathematical modelling is an important tool in the study of physical and biological phenomena. The field of.Read More