Mestrado in Ciência da Computação in Europe

This master's program equips students with advanced knowledge and skills in Artificial Intelligence (AI), focusing on both the applied use and the development of new AI models, algorithms, and tools. It covers key pillars such as data-driven AI, knowledge-based AI, and responsible AI. Students study areas including machine learning, deep learning, cognitive computing, reasoning, decision-making, semantic web, general intelligence, AI security, and autonomous agents. The curriculum includes core and thesis studies, as well as electives in areas like vision and image analysis, simulation, natural language processing, and cloud computing. Language and communication studies for international and Finnish students are also available. Graduates are prepared for careers in sectors like finance, industry, cybersecurity, healthcare, and education.

To apply for this master's program, applicants must hold a recognized higher education degree that qualifies them for master's-level studies in the awarding country, ideally in fields such as data science, computer science, computer or software engineering, information technology, telecommunications, applied mathematics, control systems, or related areas.

Applicants must also demonstrate basic skills in programming, data handling, mathematics, and theoretical computer science. If these skills were gained outside formal education, suitable documentation must be provided along with a strong academic performance in the degree. The degree-awarding institution must be officially recognized by national authorities or international organizations like UNESCO. Conditional admission is possible for those finishing their degrees at the time of application. English proficiency must be proven through prior education in English or a valid language test—IELTS (minimum score 6.5), TOEFL iBT (minimum score 92), PTE Academic (minimum score 62), or equivalent Cambridge or YKI results.

This master's program emphasizes interdisciplinary learning in product innovation through real-world, project-based work with companies. In the first year, students tackle innovation challenges from small and medium-sized businesses, while the second year centers on a long-term project in collaboration with a large company, culminating in the thesis. The program is structured around a design studio environment where students collaborate across cohorts. Key courses include Product Development, Project and Change Management, Product Portfolio Management, Human Resource Management, and Prototyping. Students also develop professional skills and have flexibility to explore electives in fields like communication, leadership, or other engineering areas.

This master's program is designed for students with a background in engineering or natural sciences and focuses on developing expertise in industrial engineering and management. Applicants must have a degree in areas such as civil, mechanical, electrical, environmental engineering, or similar, with at least 85 ECTS in engineering or natural sciences. Admission is based on academic performance, relevant coursework in topics like project or operations management, work experience in managerial roles, and a motivation letter. Applicants must also prove their English language proficiency through standardized tests or prior studies in English. A minimum score of 7.5 out of 10 is required for selection.

This program focuses on sustainable biotechnology solutions in industrial and environmental applications. Students follow one of several thematic tracks, including cell factories, biocatalysis, or environmental biotech. The final semester is dedicated to a degree project and courses like Bioprocess Design.

To be eligible, applicants need a bachelor's degree with at least 20 ECTS in life sciences (e.g. cell biology, microbiology), 30 ECTS in chemistry (preferably organic, analytical, physical), and 20 ECTS in mathematics and programming. English proficiency is required, proven by IELTS 6.5 or TOEFL 90.

This master's program focuses on human-centered design and the development of digital systems that enhance user experiences. Students explore core areas such as prototyping, user experience evaluation, HCI foundations, data analysis, design thinking, and field research in digital environments. The curriculum integrates interdisciplinary learning, project-based work, and specialized electives in ambient computing, behavior change, and affective technologies. Hands-on training is emphasized through professional placements or international internships. The program culminates in a research-driven Master’s thesis addressing real-world design challenges.

To apply for this master's program, candidates must hold a bachelor’s degree and demonstrate English proficiency through approved tests (e.g., IELTS 6.5, TOEFL iBT 92, PTE Academic 62, or Cambridge 169+). Applicants must submit a CV, academic transcript, motivation letter, and—depending on their background—a portfolio or technical assignment. The motivation letter (max 2 pages) should align with HCI research themes and describe intended outcomes. Applicants from design or social sciences submit a portfolio of prior work; technical applicants highlight programming skills and complete an interview-day assignment. The admission score is based on the motivation letter (20%), portfolio/technical task (20%), and interview (60%).

The program in Electric Vehicle Engineering focuses on advanced skills in electric drives, sensors, energy storage, control systems, and power electronics, tailored for electric mobility. It includes mandatory courses in diagnostic and communication systems, electric propulsion, and sustainability. Students can specialize through elective modules in vehicle dynamics, hardware design, and power systems. In the second year, students choose from different final paths: a research thesis, an international internship, or preparation abroad. Optional credits allow for further customization in areas like IoT, optical technologies, and reliability engineering.

Admission to the program requires a degree in automation, telecommunications, electrical, electronic, or energy and nuclear engineering. Applicants must have earned at least 15 credits in areas related to industrial and information engineering. Candidates with foreign qualifications may apply if their academic background aligns with these requirements; otherwise, their application will be individually assessed. Students who have not yet graduated can also apply, provided they meet specific credit and graduation deadlines. Proficiency in English at B2 level of the CEFR is mandatory. EU students typically pay around €1,200/year based on family income. Non-EU students usually pay a fixed fee of about €1,400/year. Check with the university for your exact fee.

This master's program focuses on construction and real estate management, blending technical, economic, and legal perspectives. Students study core topics such as construction project management, civil engineering systems, real estate valuation, and pricing. The program includes practical elements like specialized internships and study projects. Elective courses allow for specialization in areas such as land use management, marketing in civil construction, real estate development, and circular economy in construction. Students complete the program with a final examination and a master's thesis.

To be admitted to this master's program, applicants need a degree or comparable qualification in fields such as management and administration, finance, banking, insurance, accounting, law, architecture, urban planning, construction, or civil engineering. Alternatively, a degree in social sciences focused on economics, management, or law, or a degree in civil engineering is also accepted.

This program focuses on the intersection of law and technology, particularly the legal aspects of the digital world. It includes technical courses like programming, cybersecurity, AI, and public e-services, alongside legal courses on digital evidence, privacy, intellectual property, e-commerce, and cybercrime. Students also complete mobility studies, optional entrepreneurship or language courses, a practical training module in IT law, and a final master's exam.

Applicants must hold a 4-year law degree (240 ECTS) or a 3-year bachelor's in law (180 ECTS) plus a master’s degree in law. English proficiency is required and must be demonstrated through accepted standardized tests. Applications are assessed based on a motivation letter (50%) and an admission interview (50%). A minimum of 51 points on the motivation letter is required to proceed to the interview, and at least 66 points overall is needed for admission consideration.

This master's degree focuses on how people interact with the world around them, centering on human experiences, digital products, and services. Students are trained to sit at the center of ongoing technological change, taking the lead in shaping a future built on human values, needs, and behaviors, as technology increasingly moves beyond being a mere tool and starts shaping the relationships people have with it.

The program takes a human-centered approach to design, treating people as the stable foundation on which designers build their methods and attitudes, even as the broader technological landscape shifts rapidly. At the same time, the curriculum pushes students to look beyond human-centered design alone, encouraging them to consider the needs of the planet alongside those of people when designing the objects and services of the future, recognizing designers' significant influence over how people perceive, value, and interact with their surroundings.

Rather than treating design as a fixed solution, the program frames designers as mediators who build the future by creating well-considered possibilities and options. The program draws on input from leading design practitioners both nationally and internationally, and welcomes students from a wide range of academic and professional backgrounds, valuing the diverse perspectives that emerge from an interdisciplinary cohort working together through peer-to-peer learning.

Graduates go on to work in roles such as interaction designer, service designer, UX or UI designer, digital product designer, UX researcher, product owner, or innovation specialist, and the program places strong emphasis on helping students build an internationally competitive portfolio alongside the practical experience gained during their studies.

Applicants must hold a bachelor's degree, though no prior background or professional experience in design is required, and demonstrate English proficiency at the B2 level. The application includes a bachelor's degree certificate and transcript, a CV detailing educational and work history, a display of previous experience consisting of illustrated samples of past work, whether design projects, creative pieces, writing, or other relevant work demonstrating the applicant's approach to problem-solving, and a motivational letter of up to two pages addressing the applicant's background, interest in interaction design, and goals for the program.

The display of previous experience is assessed primarily on the depth and content of the applicant's experience, along with presentation skills, while the motivational letter is evaluated mainly on its relevance to the program's content, along with the applicant's familiarity with the design field and their skills in analysis, argumentation, and spoken English. Eligible applicants then complete a timed admission assignment, in which they respond to a design brief within two hours and present their solution visually with supporting explanation, assessed on problem-solving, context analysis, logical thinking, creativity, and presentation skills. Applicants who complete this assignment successfully are invited to a final interview, conducted via video call, which explores the applicant's motivation, familiarity with the field of interaction design, and communication skills, forming the basis for the final admission decision.

Core courses include human perception, HCI research, and sustainability in media. Students choose electives like XR, AI, visualization, robotics, sound, and interaction design. Specializations are possible via track-specific or interdisciplinary electives.

Applicants need a bachelor’s degree (180 ECTS) with courses in programming and Human-Computer Interaction. English proficiency is required (IELTS 6.5 or TOEFL 90), and final-year students may apply conditionally.

This master's program provides advanced training in information systems with strong interdisciplinary and practical components. In the first year, students cover core subjects such as digital transformation management, systems integration, enterprise modeling, and process analytics, alongside seminars and project-based learning. Electives allow for specialization in four main fields: Digital Business (focused on transformation, innovation, and business models), Data Science (including business intelligence and machine learning), Information Systems Engineering (covering areas like quality management, cloud computing, and IT operations), and International Business (emphasizing global finance, supply chains, and cross-cultural management). A mobility semester, either abroad or in industry, is integrated before students complete their master’s thesis and final colloquium. The program can be completed entirely in English, although some elective options require German proficiency.

Applicants must hold a relevant degree in areas such as business informatics, computer science, business administration, or digital economy, with a minimum of 180 ECTS credits over six semesters. All applicants must submit a CV, a bachelor's degree certificate (or provisional proof), transcripts, and module descriptions for an aptitude assessment. Non-EU/EEA/EHEA applicants must also provide a GRE score showing at least the 70th percentile in one area (verbal, quantitative, or analytical writing). All applicants must demonstrate English proficiency through IELTS (6.5), TOEFL (92 iBT or 580 PBT + TWE 4.5), or Cambridge FCE (Grade B2), unless they are native speakers or completed their studies in English. While German is not required, some elective courses are only available in German. The selection process includes an evaluation of academic aptitude based on submitted modules, and admission is granted if the final assessment grade is at least 2.0.

This master's program follows a modular structure and includes technical-scientific, theoretical, contextual, and complementary modules that can be personalized based on the student’s chosen specialization. The technical-scientific modules cover areas like advanced network security, cyber security operations, software assurance, and security of industrial operational technology. Theoretical modules emphasize core principles such as algorithms, applied statistics, cryptography, and machine learning, supporting strong analytical and abstract thinking abilities.

Students also complete context modules to build skills in communication, management, and ethical responsibility through courses like academic writing, ethics, and privacy law. In addition, the complementary modules offer practical, interdisciplinary experiences with options like computer architecture, signal processing, Internet of Things, image synthesis, and turning ideas into funded projects. Together, these components ensure a comprehensive preparation for technical and professional challenges.

To be admitted to this master's program, candidates should hold a bachelor's degree in Industrial Engineering or a closely related field and must meet a minimum grade point average equivalent to a "C" or a score of 5.0 on the Swiss scale. Applicants with equivalent degrees from Switzerland or abroad may also be accepted if their academic performance is good to very good. Work experience in industrial engineering, technical fields, or economic areas is also required. For candidates with degrees in other disciplines, admission is still possible, though they may need to complete 9 to 15 ECTS credits from bachelor-level courses once provisionally enrolled in the program.

Admission decisions are based on academic records, relevant experience, and individual motivation. Language proficiency requirements include B2 in German or French for those without prior education in those languages and C1 in English for international applicants. The admissions process may also involve an interview or an aptitude assessment, especially for applicants with slightly lower GPAs. The admission decision and any additional conditions will be formalized in a contract.

This is a cutting-edge program taught entirely in English, focusing on software development, data analysis, and intelligent systems.
Students take specialized courses in programming, networking, security, and AI across two leading faculties.
Key subjects include Java, computational intelligence, multimedia databases, and agile project management.
Specializations include Artificial Intelligence and Data Science and Software Engineering, with study-abroad opportunities available.

Applicants must hold a Bachelor's or Master's degree (or equivalent) in Engineering and Technical Sciences or Natural and Exact Sciences.
English language proficiency (minimum B2 level) is required and can be proven by certificates such as IELTS (min. 6), TOEFL (iBT 87, CBT 180+TSE, PBT 510+TWE+TSE), FCE/CAE/CPE, TOEIC (min. 700), or equivalent.
Alternatives include confirmation of English as the medium of instruction or passing the university’s English exam.
These criteria apply to programs taught in English.