92 Computing Masters Degree Programs

This unique cross-discipline program combines USI's world-leading expertise in Finance and Informatics and offers exciting career prospects that range from fintech startups to banks and insurers to hedge funds. The program has been designed to provide graduates with an informatics background with the necessary tools and skills for understanding fundamental problems in finance while, at the same time, learning about advanced tools and techniques in informatics to be applied in finance.

You will master modern programming languages, data science and machine learning algorithms, and apply them to problems in your chosen science. You will understand the main software engineering concepts and principles involved in scientific computing and data science and use them to model complex scientific systems, giving you an edge in a competitive and fast-changing labour market. Through project work, industrial networking and visits, you will have opportunities to build contacts, opening up additional job opportunities once qualified.

The MSc in Computational Fluid Dynamics is designed to reflect the wide applications of computational fluid dynamics to gain the knowledge and appreciation necessary for a strong foundation in a career in this exciting engineering discipline. You'll learn to understand, write and apply CFD methods.

The Master’s Degree Programme in High-Performance Computing combines knowledge of high-performance computing and computer systems with expertise in computational models and methods in the natural sciences. By choosing this programme, you will learn to develop and apply parallel and distributed computing methods to multidisciplinary problems. Through your studies, you will be able to develop and implement sophisticated data mining and machine learning methods for different types of data. Additionally, you will be able to keep pace with the rapid development of these technologies and apply them to solve large and challenging computational problems.

The National University of Singapore, Computer Sciences and Information Systems is ranked #4 by QS World Ranking by Subjects 2025. The Master of Computing offers 4 routes for students wanting to upskill or break into the field of Computing. Students without a relevant background can apply for the General Track, which is designed for students with a Non-computing undergraduate degree.

The MSc in Computing offers various majors (Natural Language Processing; Data Analytics; Artificial Intelligence; Secure Software Engineering), equipping graduates with advanced skills to develop high-quality software and systems. This program prepares students to deliver innovative solutions for business and the economy, enhancing their expertise in the ever-evolving tech industry.

Welcome to the futuristic world of quantum computing, the next great evolutionary leap in computer technology. As one of the first universities in Germany, DIT offers you a Master's degree in Quantum Computing. Building on your knowledge in computer science, physics or engineering, you will learn about the modern technology of quantum computing in this degree programme.

The "Advanced Computing Systems" master's program focuses on training highly skilled professionals in the field of advanced computing. The program aims to equip students with strong research and development competencies, fostering interdisciplinary and transdisciplinary expertise in cutting-edge computing technologies.

High-Performance Computing (HPC) Engineering is a highly multidisciplinary program, which aims at training engineers with a solid preparation in information technologies and computer architectures for supercomputing, quantum computing, and mathematical-statistical modeling of complex problems.

The aim of the Master in Computer Engineering – Mobile Computing (MEI-CM) is to confer a professional specialization with great emphasis on mobile computing and associated technologies.

The Mobile Computing course offers more than just app development, with exciting topics such as automotive computing and smart energy. It is aimed at IT enthusiasts who are looking for practical applicability through exercises, projects and the master's thesis.

The National University of Singapore (NUS) Master of Computing in Artificial Intelligence (MComp in AI) is offered by the NUS School of Computing. A comprehensive and challenging graduate programme with specialised courses that include the latest research findings in applied and fundamental computing fields, MComp in AI provides advanced and in-depth knowledge of Information Technology (IT) to prepare students for the challenges of an IT career.

This program is specifically designed to provide knowledge to enhance technical capabilities within the computing area.

The program consists of two closely related study tracks, Visual Computing, and Computer Game Development. Within the scope of Visual Computing, the program offers training in a wide range of visual sciences, including geometric modeling, rendering (image synthesis) as well as the basics of image analysis and computer vision. The Computer Game Development focuses - apart from computer graphics techniques - on artificial intelligence and intelligent agent systems as well as on software engineering skills necessary for the development of large-scale gaming projects. Both study tracks place emphasis on general programming skills, both at the system level closer to the hardware as well as on the higher level of modern programming languages.

Interdisciplinary Computing is the first interdisciplinary technical master’s program at IT:U. Its educational approach is deeply rooted in project-based, personalized learning. As a student, you will study at the intersection of computing and various disciplines. You develop your knowledge and skills in a vibrant, international environment, whilst learning in small groups to gain the experience for a future job in industry or to follow an academic career.

The Master of Computing in Applied Artificial Intelligence (MCAAI), offered by the College of Computing and Data Science (CCDS), is designed to equip professionals from diverse disciplines with the knowledge and skills to effectively apply responsible AI in solving problems in their respective domains.

Formerly Computer and Communications Systems, this new and modernised Master of Engineering programme provides an exciting opportunity for students to gain a solid foundation in targeted areas of Information and Communication Technology (ICT) necessary to create an in-depth knowledge applicable to the field of Edge Computing.

High Performance Computing (HPC) enables scientists and engineers to solve complex scientific, engineering, and even business problems, using applications that require high bandwidth, advanced networks, and very large computational or data analysis capabilities. The professionals who are trained in this specialization have the knowledge and skills needed by companies and institutions with R+D+i centers that want or need to incorporate emerging technologies. HPC is related to topics as fashionable as multicore processors (formerly specific to large computer equipment, but today present in PCs, tablets or mobile phones), cloud computing (cloud computing) or the so-called Big Data.