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9.8k Master's degrees in Computer Science & IT
When considering Computer Science & IT programmes, it's essential to be aware of the tuition fee range. The lower-end tuition fee, represented by €1,534, offers a starting point for budget planning. Meanwhile, the typical tuition fee, denoted by €19,345, provides a benchmark for what most students can expect to pay. On the higher end, €50,043 indicates the upper limit of tuition fees for these programmes.
It's encouraging to note that 8% of Computer Science & IT programmes fall within an affordable range, making higher education accessible to a broader audience. Additionally, the availability of online programmes, standing at 25%, offers flexibility for students who may prefer or require remote learning options.
Big Data and Data Intelligence
The Master of Science in Big Data and Data Intelligence at INSA Business, Marketing & Communication School spans from October 2025 to July 2026. This programme is delivered on campus in Barcelona, focusing on equipping students with essential skills in data analytics and intelligence.
Artificial Intelligence
The Artificial Intelligence course from Kennesaw State University will prepare you for jobs such as an AI application developer, ethics researcher, product manager, research scientist, solutions architect or algorithm developer.
Journalism and Computer Science
The Journalism and Computer Science program at Columbia University seeks applicants with outstanding undergraduate records, including a strong background in computer science, extensive mathematics or engineering training.
UX-UI Design (Online)
Throughout this UX-UI Design (Online) degree from Universidad Europea you will gain a deep knowledge of the UX Design tools needed to tackle complex challenges and create user-centric solutions in the digital realm.

Computer Science (Artificial Intelligence)
Study at the leading edge of neural networking, machine learning, data mining, natural language, information retrieval and computer vision, and help shape the future of areas as diverse as health, business, security and driverless transport. The Computer Science (Artificial Intelligence) course is offered at Flinders University.
Cyber Security Engineering
This multidisciplinary Cyber Security Engineering course at University of East London will provide you with the hardware security and knowledge skills to protect, reverse engineer, and investigate an Integrated Circuit (IC) and Chips.
Interdisciplinary Studies with a concentration in Applied Analytics
The next decade and beyond belongs to analytics. Prepare yourself for the future with the Interdisciplinary Studies with a concentration in Applied Analytics program offered by University of North Texas.

Impact MSc in AI for Sustainable Innovation
Tomorrow University of Applied Sciences Impact MSc in AI for Sustainable Innovation is designed for those looking to advance their careers in sustainability and technology, providing you with the skills to drive sustainable innovations effectively and make a significant impact in your field.
Artificial Intelligence Engineering (Electrical Engineering)
Artificial Intelligence Engineering (Electrical Engineering) from Arizona State University combines advanced study in AI approaches with deep domain expertise in electrical engineering.
Data Science and Technology
This Data Science and Technology course from University of California, Berkeley is an international graduate programme aiming at the integration of science, engineering, business, and arts.
Computer Engineering
During the Computer Engineering program of the Utah State University students study to become engineers in software and computer hardware and receive training in preparation for careers in these fields.
Artificial Intelligence for Engineering
The Artificial Intelligence for Engineering programme offered by University of Hull is reshaping the engineering landscape, driving innovation across industries and redefining how we design, build, and maintain complex systems. Join the forefront of this technological revolution.
Independent Games and Playable Experience Design
The M.A. in Independent Games and Playable Experience Design at Goldsmiths, University of London, is a dynamic course designed for full-time study over one year or part-time over two years. This programme focuses on innovative game design, fostering creativity and technical skills essential for engaging in the ever-evolving gaming industry.

Computational and Cognitive Neuroscience
The Computational and Cognitive Neuroscience programme of Eötvös Loránd University involves different scientific fields of natural sciences, technological sciences, and humanities as well.
Interdisciplinary
In the Interdisciplinary masters program at Stevens Institute of Technology, graduate students develop a strong background in the theoretical foundations and algorithm development in artificial intelligence and deep learning with a thorough understanding of a variety of engineering applications.

Computational Methods in Architecture
Develop the advanced digital skills required to utilise innovative computational methods in the creative and design industries. The Computational Methods in Architecture programme is offered at Cardiff University
Computer Science (Engineering)
The M.Sc. in Computer Science (Engineering) at the University of Florida is a comprehensive postgraduate programme delivered through the Herbert Wertheim College of Engineering. This public study mode course provides advanced technical training in computing systems, designed to be completed over a standard full-time duration.
Accounting Analytics
The Accounting Analytics MA Graduate Certificate at George Mason University is for students and working professionals to pair their accounting knowledge and skills with data and analytical knowledge.
Digital Transformation (Online)
The Digital Transformation (Online) from Drexel University prepares you to lead your organization in this changing technological landscape.
Cyber Security - Cryptography
With this master in Cyber Security - Cryptography at University of Queensland you can work in cutting-edge areas such as quantum algorithms and quantum computing.