Reduced order modelling has been agained in the last two decades a growing interest in computational science and engineering. It plays an important role in high performance computing in the fields ranging from mechanical to electronic engineering, the basic and applied sciences, including neuro-sciences, medicine, biology and finance. In this talk, applications of reduced basis techniques are presentened for parameterized partial differential equations in fluid flow, option pricing and optimal control.