Mathematical Modelling and Computation

Description: The Master’s programme in Mathematical Modelling and Computation at the Technical University of Denmark offers a comprehensive education in the development and application of mathematical models and computational techniques to solve complex real-world problems. Designed for students with a strong interest in mathematics, computer science, and engineering, the programme provides a solid foundation in analytical methods, numerical analysis, and programming, equipping graduates with the skills necessary to address challenges across various scientific and industrial domains. Throughout the programme, students will engage in advanced coursework covering topics such as applied mathematics, simulation, optimization, data analysis, and scientific computing. The curriculum emphasizes practical problem-solving through projects, case studies, and collaboration with industry partners, ensuring that students acquire both theoretical knowledge and hands-on experience. Additionally, students have the opportunity to specialize in areas such as computational engineering, data science, or systems modeling, tailoring their education to their career interests. The programme prepares graduates for diverse careers in research, development, consulting, and industry, where they can contribute to innovations in sectors like technology, healthcare, energy, finance, and environmental management. As part of the TU Denmark experience, students benefit from cutting-edge research facilities, expert faculty, and a vibrant academic community that fosters innovation, interdisciplinary collaboration, and professional growth. Graduates will be equipped with the analytical mindset, technical skills, and adaptability needed to tackle the increasingly complex problems faced by society today. The programme is intense, challenging, and rewarding, making it ideal for ambitious students seeking to make impactful contributions through the power of mathematical modelling and computation.

In order to obtain the MSc degree in Mathematical Modelling and Computation the student must fulfill the following requirements: 

• Have passed General Competence Courses adding up to at least 30 points
• Have passed Technological Specialization Courses adding up to at least 30 points
• Have performed a Master Thesis of at least 30 points within the field of the general program
• Have passed a sufficient number of Elective Courses to bring the total number of points of the entire study up to 120.

Only applicants holding either a Bachelor of Science in Engineering, a Bachelor in Engineering or a Bachelor of Natural Science degree can be admitted to a Master of Science in Engineering programme. From September 2017 the bachelor degree must be less than 10 years old.

The individual MSc Eng programme states in detail which bachelor programmes qualify and whether applicants have to complete supplementary educational activities.

Requirements for supplementary educational activities can equate to up to 30 ECTS credits and are specified in the form of a list of courses under the individual MSc Eng programmes.

The specific requirements must be met before graduating from the bachelor programme or in connection with conditional admission to a particular MSc Eng programme. The courses must be passed prior to the commencement of studies within one year from the conditional admission.

Supplementary educational activities in connection with conditional admission to an MSc Eng programme do not form part of the MSc Eng programme, and partial tuition fees are charged. If the supplementary courses have not been passed within the deadlines specified, the conditional admission to the programme is withdrawn.

The Master of Science in Engineering programmes are offered in English. Therefore applicants must demonstrate proficiency in English (B-level, IELTS, TOEFL- or Pearson test).

Academic requirements for this programme

Bachelors from DTU

The following BSc Eng programmes at DTU entitle students to admission to the MSc Eng programme in Mathematical Modelling and Computation

• Mathematics and Technology
• Medicine and Technology
• Physics and Nano Technology
• Strategic Analysis and Systems Design

Bachelors from other universities

Students holding a BSc in Mathematics from other Danish universities are entitled to admission to the MSc Eng programme in Mathematical Modelling and Computation.

Other BScs in Engineering or BScs (Natural Science) must be able to document that they possess qualifications in mathematics, mathematical modelling, and computing corresponding to 45 ECTS credits.  

Bachelors of Engineering may be admitted to the MSc Eng programme upon application. Individual assessments will be made as to whether applicants possess qualifications in mathematics, mathematical modelling, and computing corresponding to 45 points. The individual assessment may include a personal interview with the head of studies of the MSc Eng programme.

The Mathematical Modelling and Computation master's program at the Technical University of Denmark offers a range of financing options to support students throughout their studies. Primarily, tuition fees are applicable for international students, with the costs set at an approximate annual fee, which varies depending on the student's nationality and residency status. Danish and EU/EEA students often benefit from access to public funding and are eligible for student grants administered by the Danish government, which can substantially reduce the financial burden. These grants are designed to assist students with living costs and educational expenses, enabling more accessible higher education within Denmark.

For international students outside the EU/EEA, funding opportunities are more limited but still available through various channels. Many students secure scholarships offered directly by the university or through external foundations and organizations. The Technical University of Denmark provides several scholarship programs aimed at highly qualified international applicants, which can cover tuition fees partially or in full. These scholarships are highly competitive and are awarded based on academic merit, motivation, and relevant experience.

Students are also encouraged to explore sponsorship opportunities through their home governments, private sponsors, or international agencies that promote educational exchange. Some students may qualify for student loans available from their home countries, which can be used to pay for tuition and living expenses in Denmark. Additionally, part-time work is permitted for international students during their studies, offering an opportunity to supplement their income while gaining relevant work experience.

International students should budget for living expenses, including accommodation, food, transportation, health insurance, and study materials. The cost of living in Denmark is relatively high; thus, securing additional funding or financial aid is often necessary. The university provides guidance on financial planning and offers resources to help students identify suitable funding options.

In summary, while tuition fees and living expenses constitute the primary financial considerations for students pursuing the Master’s in Mathematical Modelling and Computation at the Technical University of Denmark, numerous funding options are available to support students. These include government grants, university scholarships, external sponsorships, and part-time employment opportunities. Prospective students are advised to carefully research available funding sources early in the application process to ensure they can sustainably finance their studies in Denmark.

Mathematical Modelling and Computation at the Technical University of Denmark is a comprehensive Master's degree programme designed to equip students with advanced skills in mathematical analysis, modeling techniques, and computational methods. This programme is ideal for students interested in applying mathematical tools to solve complex real-world problems across various industries, including engineering, finance, technology, and scientific research. The curriculum combines theoretical foundations with practical applications, ensuring that graduates are prepared for both academic research and industry positions requiring strong analytical and computational expertise.

Throughout the programme, students delve into areas such as differential equations, numerical analysis, optimization, statistical modeling, and computer programming. Emphasis is placed on developing robust mathematical models, simulating systems, and analyzing data to inform decision-making processes. The programme also offers specialization options, allowing students to focus on particular domains like applied mathematics, computational science, or systems engineering, depending on their interests and career aspirations.

The programme is taught by experienced faculty members who are active researchers in their fields, providing students with cutting-edge knowledge and opportunities for engaging in research projects. In addition to core coursework, students participate in project work, internships, and collaborations with industry partners, which enhances practical skills and professional networks. The education is delivered through lectures, seminars, hands-on labs, and project-based learning, fostering a dynamic learning environment.

Graduates of the programme are well-equipped for careers in industry, academia, and public sector organizations that require a deep understanding of mathematical modeling and computational techniques. They may work as data analysts, quantitative researchers, software developers, or applied mathematicians. The programme’s strong emphasis on computational skills and mathematical reasoning ensures that students are competitive in a wide range of high-demand fields, contributing to technological innovation and data-driven decision-making.

The programme is offered in English and typically spans two years of full-time study. Admission requirements generally include a relevant bachelor's degree with a solid background in mathematics, science, or engineering. The University provides state-of-the-art facilities, international study environment, and close links with industry, all of which support student success and career development.

Overall, the Master’s in Mathematical Modelling and Computation at DTU provides a rigorous academic foundation combined with practical experience, making it an excellent choice for those interested in the intersection of mathematics, computation, and real-world problem solving.