학사 in 수학·데이터과학 in Europe

This bachelor’s program offers a strong interdisciplinary foundation in business, data analytics, and information systems. Core subjects include mathematics, statistics, programming, accounting, and economics, along with database systems, project management, and marketing. Students apply their skills through project-based courses in machine learning, time series, and business decision-making. The curriculum also includes elective modules grouped into areas such as Business Administration and Mathematics & Statistics, allowing for focused learning paths. The program culminates in a thesis and internship, emphasizing both academic and practical experience. While no formal specializations are listed, students can customize their learning through elective tracks.

To apply for this program, applicants must have completed secondary education and demonstrate English proficiency at a B2 level. Accepted certificates include IELTS (minimum 6.0), TOEFL iBT (72), Duolingo (100), and others. Exemptions apply for native speakers and those holding specific English-language qualifications such as IB, A-levels, or GCSEs. A mathematics entrance exam is required unless the applicant holds an accepted alternative (e.g., SAT 680+, ACT 27+, IB SL 5+). If the entry criteria are not fully met, a preparatory program is available. Admission decisions are based on overall entrance exam performance and program capacity.

This Bachelor's offers a rigorous foundation in programming, statistics, machine learning, and big data technologies. Students begin with courses in linear algebra, programming, data structures, and probability, progressing to advanced topics such as deep learning, text mining, and big data analysis. The program integrates practical skills through a capstone project and includes options in risk management, geospatial analytics, entrepreneurship, and leadership. Ethical and legal dimensions of AI are also addressed. With strong technical depth and business-oriented electives, graduates are prepared for roles across data-driven industries.

To apply for this Bachelor's through the special admission contest for international students, applicants must submit proof of secondary education, residency, and English proficiency. If not already holding a B2-level English certificate (e.g., IELTS ≥ 5.5 or TOEFL iBT ≥ 72), candidates must pass an online English exam. Those who succeed move on to an online Mathematics exam, where a minimum passing grade of 9.5 out of 20 is required. Finally, candidates must score at least 9.5/20 in an interview with the program coordinator. All steps are mandatory and conducted online.

This bachelor's program offers a rigorous three-year curriculum combining theoretical knowledge with practical skills in economic analysis. Students gain a solid foundation in microeconomics, macroeconomics, statistics, mathematics, econometrics, and finance. Throughout the program, they explore key areas such as corporate finance, accounting, economic policy, game theory, and international economics. In later semesters, students complete individual and group projects while deepening their expertise in data analysis and policy evaluation. The program includes two specialization tracks—Economic Applications and Social Sciences—which allow students to tailor their studies to their interests and career goals. Courses are taught in English, with a strong focus on research, communication, and applied economic thinking.

To apply for this program candidates must have completed secondary education, demonstrate B2-level English proficiency (e.g., IELTS 6.0, TOEFL iBT 72, Duolingo 100), and pass a mathematics entrance exam—unless exempt through qualifications like SAT (680+ math) or IB Math (SL 5, HL 4). Applicants who do not meet the English or math requirements can apply for the university’s preparatory program. Exemptions from the English requirement apply to native speakers and holders of select international credentials. Admission is based on a points system, and entrance exams are conducted online.

This bachelor's degree offers a modern, interdisciplinary education spanning mathematics, physics, chemistry, and biology, taught entirely in English. The first two years follow a fixed curriculum designed to build strong foundational and interdisciplinary skills across all four disciplines before students commit to a specific direction. Mathematics and informatics are covered through courses in applied mathematics, probability and statistics, computational science, and programming, while physics, chemistry, and biology are each represented by a sequence of four courses plus dedicated laboratory work, progressing from general physics, classical mechanics, electromagnetism, and optics through chemical principles and transformations, and from molecular and cellular biology to organismal biology, evolution, and ecology. Personal development and seminar courses run throughout to build soft skills and independent study habits.

In the final year, students design their own individualized study plan, drawing at least a portion of their credits from one specialization block in biology, chemistry, or physics, while filling out the rest of their program with subjects of their choosing. This final phase centers on a bachelor's thesis project carried out under the guidance of researchers, preparing graduates for targeted master's studies in their chosen field.

Applicants must have completed secondary education, submitting either a nationally recognized certificate or proof that their foreign qualification is deemed equivalent, along with a curriculum vitae, a motivation letter, and a two-year transcript of grades in mathematics, physics, chemistry, and biology from the final years of secondary school, translated into English, Czech, or Slovak if needed. Admission is based on the total points achieved across these submitted materials together with a one-round online interview conducted in English, which tests high-school-level knowledge of biology, chemistry, and physics along with the ability to integrate, apply, and communicate this knowledge; up to 100 points are available in total, split across the curriculum vitae, motivation letter, prior grades, and the entrance interview itself. The entrance exam may be waived for applicants who can document outstanding achievement, such as reaching the national or international round of relevant science olympiads, attaining top scores on Advanced Placement exams in biology, chemistry, physics, or calculus, or achieving strong predicted scores in relevant subjects under the International Baccalaureate Diploma Program.

This bachelor's program offers a structured and interdisciplinary education in data engineering, blending programming, mathematics, machine learning, and communication. It includes foundational courses such as Programming with Java or Kotlin, Computing Infrastructure, Databases, and Software Engineering. Students also gain experience in data analytics and AI through modules like Data Engineering Fundamentals, Machine Learning Foundations, Discrete Mathematics, and Applied Statistics.

Specialization begins from the fourth semester with tracks in Applied Data Analytics, Machine Learning Engineering, and Engineering Methods. Project-based learning is a major part of the curriculum, with five progressive project modules and a final bachelor thesis. The program includes optional specialist modules, communication training, and "Special Weeks" for interdisciplinary or intensive topics. It is offered in Biel and can be undertaken in French/English or German/English.

This bachelor's program in the field of Engineering, Computer Science and Media Technology accepts various academic backgrounds, including Swiss vocational, general, or specialized baccalaureates, and equivalent foreign qualifications. Applicants with a diploma from a higher technical school may also be admitted and could qualify for advanced standing. Those with vocational training in either related or unrelated professions may apply, with a one-year internship required in some cases. The work-study PiBS track allows students to start directly after vocational training or high school.

The program is taught bilingually in German/English or French/English, and cannot be completed in English only. Students must demonstrate language proficiency at B2 level in German or French, and B1 in English. While some modules are taught in German or French, specialization modules are in English. Assignments and exams may be completed in any of the three languages, and successful completion of the bilingual track is noted on the diploma.

This program provides students with a strong foundation in mathematics, statistics, and data analysis tools. Courses include linear algebra, probability theory, mathematical analysis, numerical methods, machine learning, and data visualization. Practical projects and programming courses prepare students to model, analyze, and interpret data in real-world contexts. The curriculum also includes team projects, a final thesis, and an industrial placement, ensuring strong application of skills.

Applicants must have passed mathematics and English at secondary school. The English exam must be at an advanced level with a minimum score of 60% (or 30% at bilingual level). Additionally, candidates must have a second foreign language and one of the following subjects: physics, chemistry, or informatics.

This interdisciplinary bachelor's program equips students to analyze complex societal phenomena using a strong foundation in mathematics, statistics, programming, and social sciences. It trains students in computational data analysis and modeling, while integrating core concepts from sociology, economics, political science, and environmental science. The curriculum includes mandatory courses in quantitative methods and social theory, followed by two specialization tracks chosen from five fields. Students are awarded a European-accredited BSc after three years, with an optional fourth year leading to a US-accredited BA. The program emphasizes critical thinking, civic engagement, and interdisciplinary research, culminating in a thesis and capstone project.

Applicants must have completed secondary education or be in their final year with proof of graduation before enrollment. The program is taught entirely in English, and proof of English proficiency is required unless the candidate meets exemption criteria such as being a native speaker or having completed at least two years of study in an English-instruction high school. Accepted English tests include TOEFL (minimum 88 iBT), IELTS (6.5), Duolingo (120), and others. Additional documents like SAT scores, extracurricular achievements, or extra recommendation letters can strengthen the application. A CV in bullet-point format and one academic recommendation letter are required, along with a statement of purpose or other academic writing samples, depending on the program.

This Bachelor's program in Statistical Sciences focuses on equipping students with a solid foundation in statistical theory, data analysis, and mathematics. It belongs primarily to the fields of Mathematics, Statistics and Data Science and Social Sciences. The curriculum includes core subjects such as probability, statistics, demography, econometrics, and informatics, with advanced courses in multivariate analysis, environmental statistics, and statistical methods for economics. Students can specialize further through electives in computational statistics, data analysis, or language studies, and practical learning is encouraged via internships and labs. The program emphasizes both theoretical understanding and applied skills in quantitative research and data interpretation.

To be eligible for this Bachelor's program in Statistical Sciences, applicants must hold a secondary education diploma from a five-year upper secondary institution or a four-year specialist program, with certain cases requiring additional learning at the university. International qualifications must align with Italian regulations and international agreements. Admission also requires taking the English version of the CISIA TOLC-E test, designed to assess initial competencies in reasoning, text comprehension, and mathematics through a personalized 90-minute online test. The Italian version of the TOLC-E is not accepted for this program.