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ESILV Graduate School of Engineering trains engineers with strong scientific and technical bases and a real professional experience, who are opened to the world and prepared to the challenges of tomorrow's industry. Read more
Globally, financial tools, products and software are becoming increasingly complex and sophisticated. There's a demand for market-aware graduates who can demonstrate an understanding of mathematical models used in these products. Read more
MSc Data Science with Business combines core Data Science modules, taken from . MSc Data Science. , with modules in Management, Strategy, Marketing and Accounting. Read more
The Complex Systems Modelling – from Biomedical & Natural to Economic & Social Sciences MSc course will teach you to apply mathematical techniques in the rapidly developing and exciting interdisciplinary field of complex systems and examine how they apply to a variety of areas including biomedicine, nature, economics and social sciences. Read more
The ideas of applied mathematics pervade several applications in a variety of businesses and industries as well as government. Sophisticated mathematical tools are increasingly used to develop new models, modify existing ones, and analyze system performance. Read more
The Léonard de Vinci Group is a highly reputed private institution of higher education located in Paris. De Vinci is made up of three schools that award high-quality, accredited degrees: EMLV (Business School), ESILV (Graduate School of Engineering) and IIM (School of Web Design and Multimedia).
With one of the UK’s leading faculties of science, the University of Strathclyde provides a vibrant, dynamic, supportive and friendly place to study. The Faculty of Science offers a wide range of postgraduate taught courses and postgraduate research opportunities, designed to offer you advanced skills relevant in today’s global workplace. Strathclyde offers you the opportunity to gain a top class qualification whilst studying in the heart of Scotland’s biggest city. The Faculty of Science investigates the challenges and possibilities of the natural and technological world, from drug discovery