Blockchain goes beyond the financial world. While Blockchain is normally associated with the cryptocurrency boom, the transparency, security and traceability of this technology has allowed it to penetrate different sectors. Best of all, we still have a lot to learn about the possibilities and economic benefits that Blockchain can generate directly or indirectly.

According to a study published by economists at PwC, “Blockchain technology has the potential to increase global gross domestic product (GDP) by $1.76 trillion over the next decade.” The grand potential of this technology makes it useful in many different sectors. Moving on from finance to industry, logistics, healthcare, public services and both physical and online commerce. 

By the end of 2021, Blockchain will contribute USD 66 billion to the global economy. If its evolution remains at the same pace, it is expected that by 2025 a large percentage of companies will have already implemented it in some form, which will generate a six-fold impact.

Why learn about Blockchain?

Knowing how Blockchain technology works will be a must for many professionals working for the companies that implement it.

BISITE is aware of this, our mission as a research group specialized in new technologies is to provide our knowledge and contribute to the training of professionals in areas where the demanded is high. The Master’s Programme in Blockchain and Smart Contracts at the University of Salamanca will teach students about cryptography, the different Blockchain platforms, smart contracts and cryptocurrencies.

Students will also be able to complement their degree with the totally free course on cybersecurity that we organize together with the National Police. Last June we presented the zero module of Blockchain and Cryptocurrencies at C1b3rwall Academy, in which more than 20,000 students have participated worldwide. More students are expected to join on September 20, as the course will continue.

The training program covers both technical and informative modules, especially designed for those who have no knowledge in these areas and want to protect their families or their businesses.

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 Universidad 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.