1,214 Best IT & Computer Science Master's Degree Programs for 2025

The study course provides graduates with advanced skills and competences in the management and administration of companies, new entrepreneurship, and accounting, administration and internal audits, governance, economics and the enhancement of cultural heritage, integrated with the themes of innovation and sustainability

The MSc in Enterprise Cybersecurity integrates technical and managerial expertise, equipping students to fulfill the market's need for versatile professionals capable of implementing security solutions and leading cybersecurity initiatives . The curriculum combines technical training with real-world applications, emphasizing hands-on experiences and soft skills development. The master's also aligns with industry-recognized cybersecurity certifications, further enhancing the students' professional qualifications.

Further your computer science career with a specialist postgraduate degree in big data analytics. This online programme, accredited by the BCS, will give you a comprehensive understanding of both the technology that supports big data analytics and the practical application of this technology in the context of business information and real-world problems. If you wish to study a shorter award, PG Cert and PG Dip options are also available.

The Master’s Degree in Design X Other Species responds to the need of protecting the environment by adopting transdisciplinary design as a cultural and ecological practice aimed at fostering conditions of coexistence for, with, and by other living species. Through participatory design methodologies involving collaboration with experts from fields such as ecology, ethology, environmental humanities, and sociology, the programme fosters an innovative dialogue that considers other species not as subjects of study but as equal participants in design and research processes. Students learn to develop ethical design practices that account for complex ecological interactions, the rights of other living beings, and the consequences of their interventions on natural systems. This reflective design approach combines scientific, ethical, aesthetic, and design perspectives in a profoundly integrated manner.

Data Science is critical in various fields such as healthcare, finance, marketing, and technology, enabling informed decision-making and innovative solutions. The master degree is open to graduates with at least 30 ECTS in Statistics, Computer Science, Mathematics, or Physics.

Our master's programme builds on your existing academic foundations in computer science (such as a bachelor in computer science, or equivalent) and provides you with a deeper knowledge and understanding of computer science in general, as well as of the state of the art in your favourite of four specialisations: Artificial Intelligence Data Management and Analytics Multimedia Software Languages and Software Engineering

The Master of Science in Biotechnology and Artificial Intelligence is a pioneering program created by SupBiotech in collaboration with EPITA (School of Engineering and Computer Science) and ESME (Special School of Mechanics and Electricity). This two-year program is designed to train future experts in bioinformatics and artificial intelligence (AI) at the Master's level (ECTS equivalent). The Master of Science in Biotech and AI: A Journey into Bioinformatics We marvel at artificial intelligence's ability to generate stunning visuals and videos in the blink of an eye. We stand in awe as it emulates history's greatest writers. We are captivated when it responds to us, becoming one of our most valuable allies both at work and in our daily lives. In countless ways, artificial intelligence has transformed our society. The field of biotechnology is no exception. In fact, it stands at the forefront of this revolution. The Master of Science (MSc) in Biotechnology and Artificial Intelligence, developed through a partnership between EPITA and ESME – two of France's leading engineering schools – trains future bioinformatics experts through a multidisciplinary approach. The mission: to empower graduates to push the boundaries of innovation by combining biology with cutting-edge technologies. The curriculum is carefully structured to enhance both technical and professional skills, with all courses and conferences delivered in English. Students benefit from hands-on cross-disciplinary projects and a long-term internship at the end of the first year.

The MSc in Sustainable Financial Management and Data Analytics is designed for junior professionals eager to start their careers in finance, accounting, or control departments with a focus on sustainability. The program emphasizes a global perspective and sustainable practices, highlighting the importance of data analysis in effective company management.

The Skoltech Data Science program aims to provide young talents with high-level knowledge and skills in machine learning, deep learning, computer vision, industrial data analytics, natural language processing, mathematical modeling, and other frontier disciplines.

The MSc in Applied Data Science & AI is designed for graduate students who seek a career at the intersection of management and tech departments within companies. The program has no prerequisites on Computer Science. In Term 1, you will be exposed to foundational applicative courses on Business, Data Science, Machine Learning, Artificial Intelligence, and Problem-solving. In Term 2, you will apply methodologies and tools to real-life business problems that can be analyzed using Data Science and AI. Term 3 consolidates your profile, through an internship or a project.

The Master's in Cyber Law combines a solid theoretical foundation with a practical and applicable approach to knowledge in real situations, providing you with quality training in the main areas of the digital environment. It offers you training with a unique vision that completely balances the fields of digital law and cybersecurity law, preparing you to tackle the challenges posed by the constant changes and innovations in the technological field, from innovation, critical thinking, and adaptability. To ensure you acquire this professional profile, the master's curriculum, designed by a team of distinguished experts, covers key topics such as e-commerce, digital contracting, data protection, intellectual property, and unfair competition, among others.

The program is organized around four big streams that are all interwoven with many overlaps and crosspoints that further fertilize our transdisciplinary mindset and ideas. Mobility Design skills & methods The Master’s program equips you with a cross-disciplinary toolkit—blending critical thinking, creativity, communication, collaboration, and adaptability to tackle complex real-world challenges. You’ll work in transdisciplinary teams, master useful key skills, and develop or adapt methodologies to turn bold ideas into impactful action. Body, mind, UX & interaction The micro scale of mobility is related to our body, how we move, think, perceive, experience, and interact. You’ll explore how users interact with products and interfaces, designing experiences that engage both emotionally and cognitively. By focusing on the human scale, you’ll learn to craft holistic solutions that prioritize user needs, preferences, and experiences. City, Transport & systems At the meso scale, mobility design is about mastering the dynamic between user, vehicle, and context. You’ll learn to navigate their complexity and design smarter, safer, and more inclusive solutions that seamlessly connect all three, contributing to the livability and resilience of cities worldwide. Global chains & flows At the macro scale, mobility encompasses global chains and flows, impacting migration, food distribution, material sourcing, geopolitics, economics, and more. Understanding these dynamics you'll learn to design systems that drive sustainability, improve access, and reduce inequality on a global level.

A master’s degree in this field opens countless doors. Today’s organizations – across all industries – depend on analysts and data scientists to gain a competitive advantage and uncover hidden opportunities.

Ranked #4 worldwide in the 2024 Financial Times Masters in Management ranking, this two-year program equips students with essential data science and AI skills, alongside business management fundamentals. With industry-aligned learning and a corporate partnership with Orange, students gain technical and managerial expertise, preparing them for strategic roles in data-driven sectors. The program includes a year of professional immersion and specialized MSc options in data, marketing or finance, ensuring graduates are highly adaptable and ready to lead in diverse industries shaped by AI and data science advancements.

Tailored for professionals and graduates with a background in business, marketing, or tech, this 1-year master’s specialization is designed and delivered in collaboration with Publicis – one of the largest advertising and public relations firms in the world. It aims to provide deep expertise in the convergence of AI and the retail industry. The curriculum offers a blend of management courses (strategy, consumer behavior, digital marketing) and technical insight into AI applications such as recommendation engines, customer analytics, and supply chain automation in retail. Participants learn to leverage AI to solve key retail challenges – for example, using machine learning for personalized marketing, or AI analytics to inform merchandising decisions. With direct input from Publicis and industry leaders, the curriculum is built to reflect real-world challenges in digital commerce. The programme is delivered in a hybrid format (Brussels or online) with two intakes per year (January and October) to accommodate working professionals. Students engage in hands-on projects, possibly in collaboration with UBI’s retail industry partners, to apply AI tools to real e-commerce scenarios. With e-commerce sales expected to reach $7.3 trillion by 2025 and companies increasingly investing in AI for customer retention, graduates of this program are well-prepared for roles such as e-commerce analytics manager, digital strategy consultant, or marketing technology leader, capable of driving online retail innovation in a global marketplace.

The AI4ST degree, offered jointly by the Universities of Milano-Bicocca, Milano Statale, and Pavia, provides an interdisciplinary AI education. Students tackle advanced issues in computer science, mathematics, statistics, physics, business administration, management, and AI’s legal aspects, applying their knowledge through specialized tracks. Classes and labs are held in English across all three campuses, fostering an international environment.

The Skoltech Advanced Computational Science program combines advanced mathematical modeling methods, such as numerical solution of ODEs and PDEs, stochastic modeling, machine learning, and big data approaches.

The MSc in Responsible AI combines technical expertise with a focus on the ethical implications of modern AI, covering foundational and advanced concepts without extensive mathematical detail. It emphasizes real-world applications in areas like natural language processing, computer vision, business, sensor systems, and industry automation. The program provides an overview of advanced computing architectures for sustainable AI systems, emphasizing environmental impact. Ethical considerations and social responsibilities are integral to every application discussed.

Take your computing career to the next level with this online MSc Information Systems Management. Accredited by the BCS, the programme has been designed to meet the needs of students who aim to move from a technical position to one where leadership skills are required, or who are currently operating in a managerial position and wish to enhance their management knowledge. PG Cert and PG Dip options are also available.

The MSc Social Network Analysis programme at The University of Manchester provides comprehensive training in social network analysis (SNA). It covers theoretical foundations, research design, data collection techniques, methods for analysing and visualising network data, and statistical modeling of networks. Graduates are well-equipped to meet the increasing demand for SNA in academic research and commercial environments, including market research, crime analysis, and public health