The Master of Business Administration (MBA) with a pathway in Cloud Computing is a one-year three-semester full-time program (90 ECTS). In addition to acquiring advanced skills in business management, strategy, and other key business disciplines, this EQF level 7/NFQ level 9 program with a pathway in Cloud Computing provides innovative knowledge in one of the key skills of the modern business world. Students learn to critically analyze the business case for cloud development and deployment and to understand the operational and practical implications of cloud-based project management practices, tools, and techniques.

Master of Science in Cloud Computing program offers students both theory and practice so that the students can understand and implement cloud-based applications. The course will, along with the valuable academic qualification, provide you with the latest knowledge and competencies required by one of the fastest growing global industry - cloud computing.

The Master of Science in Information Technology program qualifies for STEM OPT/CPT benefits, allowing international students up to 36 months of practical training, and offers a comprehensive curriculum designed to equip students with advanced skills in leveraging cutting-edge technologies for business success. The program integrates key areas such as cloud computing, artificial intelligence, big data analytics, mobile app development, and IT project management while enabling international students to access 12 months of CPT during the program, 12 months of initial OPT, and an additional 24-month STEM OPT extension with qualifying employers.

With Campbellsville University's Master of Science in Cloud Computing degree, students with computer science backgrounds can build expertise in advanced cloud computing applications in one year. This 100% online, 30-credit program explores risk mitigation, cloud computing security, DevOps and beyond, preparing you to provide value to businesses. Graduates can pursue careers in an array of fields, such as software engineering, network architecture and cloud analysis. Learn more today.

Master cloud architectures and data fundamentals to optimize access and processing of large volumes of information.

The joint master's programme in Security and Cloud Computing focuses on two aspects of modern computing systems, cloud computing and information security. Students gain security knowledge, and hands-on R&D skills and learn how to build next-generation cloud and mobile computing services and applications. Graduates receive degrees from two European universities and choose between positions in industrial R&D, security engineering and consulting, or PhD studies.

We produce experts with practical experience. They work with companies from around the world realising the business benefits of this exciting technology. Cloud computing is revolutionising the way that large, and often complex, datasets are stored and analysed.

Computers and software are an integral part of our daily lives. Interaction between people and computers takes different forms as computers are integrated into different systems from mobile devices to clouds. Software, Web & Cloud provides students with a solid understanding of computer science and software engineering.

Our MSc Cloud Computing programme aims to provide students with an extensive learning experience that equips them with the cutting-edge skillsets required within the fast-growing cloud computing industry. Students will have the opportunity to gain in-demand skills for professional roles such as Cloud Developers, Solution Architects, DevOps, and Data specialists.

According to some studies, cloud computing is expected to create 1.6 million new jobs. To fill these roles, companies are actively seeking experts and specialists who understand the fundamentals of networking and cloud computing and can use their knowledge to drive innovative new business models. With our Cloud and Network Infrastructures programme, you will build the skills you need to compete for often high-paying jobs, and you will also have the confidence to lead the ‘cloudification’ starting on day one.

The aim of this master's degree is to train Computer Sciences and Information Technologies experts in order to be able to address the new challenges of the current and future generations of digital societies. Current trends in digital technologies represented by the Internet of things, cyber-physical systems, social networks, cloud computing, big data and cognitive computing, mobile robotics, digital twin, and additive manufacturing have provided the basis for a new industrial revolution named Industry 4.0.

This master offers the possibility of acquiring a current, complete and globally demanded professional profile, where three technological areas that are at the forefront of knowledge are integrated.

This applied course will give students an in-depth understanding of network management, providing them with a systematic understanding of the concepts and standards for network management, network management protocols and network management tools. The course looks at virtualisation and cloud computing, exploring and understanding modern data centres, virtualisation, distributed storage, MapReduce, NoSQL, platform services, web services and caching. Students will study online security risks, the steps needed to ensure that data is transmitted and stored securely and measures that can be taken not only to prevent breaches but to minimise damage if they do occur.

There is currently a growing demand for professionals capable of handling tools for processing large volumes of data. The efficient management of this data is necessary at all levels of a computer system, from the cores of a processor to the most sophisticated Cloud systems. These tools are essential for, among many other applications, running complex simulations of physical processes, designing increasingly accurate weather models, driving advances in genomics, performing big data analysis on which today's corporations draw up plans and strategies. market (Data Management) or solve engineering problems that require a large computing capacity, either because of their large size, or because the answer must be given in real time.