Computer Science and Economics

Study mode:On campus Study type:Full-time Languages: English
Local:$ 2.32 k / Year(s) Foreign:$ 16.9 k / Year(s) Deadline: May 1, 2026
70 place StudyQA ranking:9502 Duration:36 months

Photos of university / #universiteitleiden

The Bachelor's programme in Computer Science at Leiden University offers students a comprehensive and rigorous education in the core principles and latest developments within the field of computer science. Designed to equip students with both theoretical knowledge and practical skills, this programme prepares graduates to address complex technological challenges and to innovate within various sectors of industry and academia. Throughout the programme, students explore fundamental topics such as algorithms, programming languages, software development, data structures, and systems architecture. In addition, the curriculum delves into specialized areas including artificial intelligence, machine learning, data science, cybersecurity, and computational science, reflecting the rapidly evolving landscape of computer technology.

Leiden University's Computer Science programme emphasizes a strong foundation in mathematical reasoning, logical thinking, and problem-solving skills, enabling students to analyze and develop sophisticated computer-based solutions. Throughout their studies, students gain hands-on experience through practical labs, project work, and internships, fostering teamwork and project management capabilities crucial for professional success. The programme also encourages international collaboration and intercultural competence by offering various opportunities for exchange and cooperation with partner universities worldwide.

The educational approach combines theoretical instruction with practical application, often using real-world cases to demonstrate the relevance of computer science in society. Students are also encouraged to undertake research projects, participate in seminars, and engage with faculty experts active in cutting-edge research. Leiden University’s state-of-the-art facilities and multidisciplinary environment provide a stimulating setting for academic growth and innovation. Graduates of this programme are well-prepared to pursue careers in software development, data analysis, IT consultancy, research, or to continue their education at the master's level. With a strong focus on both technical proficiency and ethical considerations in computing, the programme aims to develop responsible professionals capable of contributing meaningfully to technological advancements and societal well-being.

The Computer Science and Economics program at Leiden University offers a comprehensive and interdisciplinary education designed to equip students with essential skills in both technical computing and economic analysis. This unique programme integrates the theoretical foundations of computer science with the practical applications of economics, preparing graduates to address complex challenges in today's digital economy. Throughout the course of study, students explore core topics such as programming, algorithms, data structures, and software engineering, alongside economic principles, microeconomics, macroeconomics, and quantitative methods. The curriculum emphasizes the development of problem-solving skills, critical thinking, and analytical abilities, enabling students to design and implement innovative solutions that have real-world impact.

In addition to foundational courses, students have opportunities to specialize in areas like data science, artificial intelligence, financial technology, and behavioural economics. The program fosters a strong research orientation, encouraging students to participate in projects that involve data analysis, economic modeling, and the development of computational tools. Practical experience is gained through internships, laboratory work, and collaboration with industry partners, giving students valuable insights into current challenges and emerging trends in both sectors.

Leiden University’s faculty comprises leading experts in computer science and economics, providing mentorship and guidance tailored to individual interests and career goals. The program also emphasizes international perspectives, offering opportunities for exchange programs and collaborative projects with partner universities around the globe. Graduates of this interdisciplinary programme are well-prepared for careers in technology firms, financial institutions, consulting agencies, government agencies, and research organizations. They possess a rare combination of technical prowess and economic insight, which makes them highly competitive in the rapidly evolving digital landscape. Whether pursuing further academic research or entering the workforce, students will leave with a versatile skill set capable of making a meaningful impact on society and the economy.

Language of instruction: English
Degree: Bachelor of Science (BSc) in Computer Science and Economics
Admission requirements:

  • A completed secondary education diploma or equivalent that qualifies for university entrance in the applicant's country.
  • Proficiency in English, demonstrated by a recognized test score such as IELTS (minimum overall band score of 6.5), TOEFL (minimum score of 90 internet-based), or equivalent.
  • Mathematics proficiency, including a solid background in algebra, calculus, and statistics, as evidenced by transcripts or standardized test scores.
  • For international students, additional requirements may include a motivation letter, curriculum vitae, and sometimes an interview process.
    Program prerequisites:
    Applicants are expected to have a strong foundation in mathematics and logical reasoning. Prior knowledge of basic programming concepts, if any, is considered beneficial but not mandatory.
    Curriculum requirements:
    The program combines compulsory courses and elective modules. Core courses typically include introductory programming, algorithms and data structures, microeconomics, macroeconomics, mathematical methods for economics and computer science, and statistics. Electives may cover advanced topics in artificial intelligence, data analysis, machine learning, economic modeling, and programming languages.
    Language requirements:
    Proficiency in English as the program is instructed entirely in English. Non-native speakers must provide proof of English language proficiency through standardized tests.
    Additional criteria:
    Applicants should have a strong interest in both computing and economic theory, analytical thinking capabilities, and a problem-solving mindset.
    Specific admission criteria can be subject to change and are detailed in the university's official admissions guidelines.
    Overall, applicants should ensure that they meet the academic and language prerequisites for admission to successfully enroll in this interdisciplinary program.

The financing of the Computer Science and Economics programs at Leiden University primarily relies on a combination of governmental funding, tuition fees, and student financial support schemes. As a Dutch public university, Leiden University receives substantial funding from the Dutch government, which covers a significant portion of operational costs and contributes to maintaining high-quality educational standards. Tuition fees for international students vary depending on the student’s nationality; for non-EU/EEA students, the fees are higher than for EU/EEA students, and these fees are set annually by the Dutch government. In addition to basic tuition, students may incur costs for residence permits, health insurance, and study supplies, which are often borne by the students themselves.

Leiden University offers various scholarships and grants to support students financially. For instance, there are financial aid programs for Dutch and EU students, such as the Leiden University Excellence Scholarship, which recognizes academic achievement and offers partial tuition fee waivers. Non-EU/EEA students can apply for the Holland Scholarship and other international funding opportunities to offset living and tuition costs. Furthermore, students have access to student loan facilities provided through Dutch national student finance systems, which offer favorable repayment terms and low-interest rates.

Many students finance their studies through part-time work, either on or off-campus, with regulated working hours for international students permitted under Dutch immigration rules. The university’s location within the Netherlands also allows students to benefit from the country’s robust social support system, including healthcare and housing subsidies in some cases. Private financing options, such as educational loans from financial institutions, are also available to students who need additional funds. The university provides extensive financial advice and support services to assist students in managing their budgets effectively. Overall, the combination of institutional funding, governmental support, scholarships, and personal finances creates a comprehensive financial framework that enables students to pursue their Computer Science and Economics studies at Leiden University.

The Computer Science programme at Leiden University offers a comprehensive curriculum designed to equip students with both theoretical knowledge and practical skills in the field of computing. The programme emphasizes fundamental principles of algorithms, programming, software development, and systems design, preparing graduates for diverse careers in academia, industry, and research. Students explore core topics such as programming languages, data structures, computer architecture, and software engineering, while also having the opportunity to specialise in areas like artificial intelligence, cybersecurity, data science, and human-computer interaction. The curriculum integrates hands-on projects, internships, and collaborations with industry partners, fostering a practical understanding of current technological challenges and solutions. Leiden University also encourages interdisciplinary learning, allowing students to combine computer science with fields like mathematics, cognitive science, and digital humanities. The programme is designed to develop problem-solving, analytical thinking, and programming skills, with a strong emphasis on research-based learning. Students are supported by experienced faculty members who are active researchers in their respective fields, ensuring that the education remains aligned with the latest technological advancements. The campus provides modern facilities, labs, and computing resources necessary for practical training. Graduates are well-prepared for the rapidly evolving tech industry or for pursuing further academic research, including master's and PhD programmes. The university's international environment offers a multicultural experience, welcoming students from around the world and exposing them to diverse perspectives and ideas. The programme adheres to high academic standards and continuously updates its content to meet industry needs and technological innovations, ensuring that graduates are competitive in the global job market.

Similar programs:
Study mode:On campus Languages: English
Local:$ 2.32 k / Year(s) Foreign:$ 11.7 k / Year(s)
Deadline: Sep 1, 2025 187 place StudyQA ranking: 8312
Study mode:On campus Languages: English
Local:$ 2.34 k / Year(s) Foreign:$ 10.4 k / Year(s)
201–250 place StudyQA ranking: 9910
Study mode:On campus Languages: English
Local:$ 12.9 k / Year(s) Foreign:$ 18.3 k / Year(s)
Deadline: Jun 1, 2026 301–350 place StudyQA ranking: 11609
Study mode:On campus Languages: English
Local:$ 9 k / Year(s) Foreign:$ 12 k / Year(s)
Deadline: Jun 15, 2026 301–350 place StudyQA ranking: 9769
Study mode:On campus Languages: English
Local:$ 9.9 k / Year(s) Foreign:$ 15.9 k / Year(s)
Deadline: May 1, 2026 801–1000 place StudyQA ranking: 9492
Study mode:On campus Languages: English
Local:$ 4 k / Year(s) Foreign:$ 12.5 k / Year(s)
Deadline: Jan 15, 2026 StudyQA ranking: 8992
Study mode:On campus Languages: English
Local:$ 11.1 k / Year(s) Foreign:$ 11.1 k / Year(s)
Deadline: Nov 1, 2025 StudyQA ranking: 9335