Cryptocurrencies have been around for over a decade now, they have been adopted in different sectors in varying degrees. Nonetheless, in the last few years there has been a considerable increase in the creation of new cryptocurrencies on a global scale.

There are countries that are less enthusiastic about the cryptocurrency revolution. For the time being, there is no global regulation for this type of transactions, each country classifies and regulates them differently. As a result of COVID-19, their use has become more frequent because many countries have found cryptocurrencies to be a great alternative in times of crisis. The financial market has changed during the pandemic and until the situation does not go back to normal, the prospects are not very encouraging.

In this regard, there has been an increase in investments in crypto-currencies compared to the traditional market. According to a recent survey by Fidelity, “80% of institutional investors considered digital assets attractive, while 60% of them look positively at Bitcoin as part of their usual portfolio investment. Therefore, it is a great opportunity for cryptocurrencies to play a major role in the global market.

Blockchain and crypto currencies in general are at their best, which has in turn led to a high demand for specialists in the field, ranging from crypto currency software engineers, crypto-analysts, developers, Solidity expert programmers. Apart from that, lawyers specialized in digital assets and in general many professions in which blockchain technology is becoming increasingly relevant.

The BISITE research group and the University of Salamanca have designed a course that intends to respond to the increase in demand for the new professions. The Master and Expert in Blockchain and Smart Contracts gives students the opportunity to learn about different blockchain platforms, to run smart contracts and to use Blockchain and IoT.

If you choose this course, you will have a profession with a promising future. The first students to enrol in the course will get a 25% discount.

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Posted by Juan M. Corchado

Juan Manuel Corchado (15 de Mayo de 1971, Salamanca, España) Catedrático en la Universidad de Salamanca. Ha sido Vicerrector de Investigación desde el 2013 hasta el 2017 y Director del Parque Científico de la Universidad de Salamanca. Elegido dos veces como Decano de la Facultad de Ciencias, es Doctor en Ciencias de la Computación por la Universidad de Salamanca y, además, es Doctor en Inteligencia Artificial por la University of the West of Scotland. Dirige el Grupo de Investigación Reconocido BISITE (Bioinformática, Sistemas Inteligentes y Tecnología Educativa), creado en el año 2000. Director del IOT Digital Innovation Hub y presidente del AIR Institute, J. M. Corchado también es Profesor Visitante en el Instituto Tecnológico de Osaka desde enero de 2015, Profesor visitante en la Universiti Malaysia Kelantan y Miembro del Advisory Group on Online Terrorist Propaganda of the European Counter Terrorism Centre (EUROPOL). J. M. Corchado ha sido presidente de la asociación IEEE Systems, Man and Cybernetics, y coordinador académico del Instituto Universitario de Investigación en Arte y Tecnología de la Animación de la Unviersidad de Salamanca e investigador en las Universidades de Paisley (UK), Vigo (Spain) y en el Plymouth Marine Laboratory (UK). En la actualidad compagina toda su actividad con la dirección de los programas de Máster en Seguridad, Animación Digital, Telefonía Movil, Dirección de Sistemas de Información, Internet de las Cosas, Social Media, Diseño e Impresión 3D, Blockchain, Z System, Industria 4.0, Gestión de Proyectos Ágiles y Smart Cities & Intelligent Buildings​, en la Universidad de Salamanca y su trabajo como editor jefe de las revistas ADCAIJ (Advances in Distributed Computing and Artificial Intelligence Journal), OJCST (Oriental Journal of Computer Science and Technology) o Electronics MDPI (Computer Science & Engineering section). J. M. Corchado desarrolla principalmente trabajos en proyectos relacionados con Inteligencia Artificial, Machine Learning, Blockchain, IoT, Fog Computing, Edge Computing, Smart Cities, Smart Grids y Análisis de sentimiento.