On-campus program Mathematics (B.Sc.) – Constructor University

👉 The Bachelor's degree programme Mathematics, Modeling and Data Analytics at Constructor University is aimed at prospective students interested in mathematics, data analysis, and modelling. The three-year full-time programme provides thorough knowledge in analysis, linear algebra, scientific programming with Python, machine learning, and statistical data analysis. Special features include the interdisciplinary CONSTRUCTOR Track, which focuses on methodological skills, communication, and social engagement, as well as a compulsory internship and semester abroad. The programme takes place on the campus in Bremen and concludes with the internationally recognised Bachelor of Science degree. Individual financing options and scholarships support the funding of studies.

Mathematics (B.Sc.) at a Glance

Mathematics (B.Sc.) at a Glance
📜 Degree Bachelor of Science (B.Sc.)
⏳ Duration 6 Semesters
💶 Fees
from 10000 € Semester fee
🏫 University Constructor University, University based in Bremen (Germany)
The Constructor University is a private, state-recognized university in Bremen. It offers study programs in the fields of engineering, natural sciences, humanities, and social sciences, awarding bachelor's, master's, and (in cooperation) Ph.D. degrees. The university was founded in 2001 and has been operating under its current name since 2022. In addition to its international focus and high research activities, the university provides extensive support for students through scholarships and preparatory programs.
📋 Study Format On-campus program
🎓 Field of Study Natural Sciences
🎯 ECTS 180 Credit Points
🌍 Language of Instruction English
📖 Course contents Here is the given text translated into English (en-GB): Analysis, Scientific Programming with Python, Linear Algebra, Mathematical Modelling, Algebra, Complex Analysis, Real Analysis, Number Theory, Discrete Mathematics, Computational Modeling, Machine Learning, Scientific Data Analysis, Topology and Differential Geometry, Foundations of Mathematical Physics, Stochastic Modeling and Financial Mathematics, Dynamical Systems, Stochastic Processes, Quantum Mechanics, Analytical Mechanics, Particle Fields and Quanta, Quantum Informatics, Matrix Algebra & Advanced Calculus I, Matrix Algebra & Advanced Calculus II, Probability and Random Processes, Statistics and Data Analytics, Logic, Causation and Correlation, Argumentation Data Visualization and Communication, Linear Model/Matrices, Complex Problem Solving, Agency Leadership and Accountability, Community Impact Project, Internship, Bachelor thesis
📚 Electives Quantum Mechanics, Analytical Mechanics, Particle Fields and Quanta, Quantum Informatics
📍 Location Bremen
📅 Enrollment Winter semester
🔗 More Info View Vendor Profile

Who is the Bachelor's Degree in Mathematics, Modeling and Data Analytics suitable for?

The English-language on-campus Bachelor's degree in Mathematics, Modeling and Data Analytics at Constructor University is aimed at prospective students with a strong interest in mathematics, data analysis and their applications in science, technology or business. The target group is primarily school leavers with university entrance qualifications (Abitur) or internationally equivalent qualifications who are seeking a solid mathematical education with interdisciplinary focuses. This programme is for you if you want to analyse complex issues mathematically and data-based and apply modern analytical methods in various professional fields – such as research, industry, finance, engineering or the IT sector. International students particularly benefit from the English language of instruction, the high practical component and the global community on the campus in Bremen.

What are the admission requirements?

For admission, you need a university entrance qualification, for example:

  • General university entrance qualification (Abitur) or advanced technical college entrance qualification (Fachhochschulreife)
  • An international equivalent such as International Baccalaureate (IB Diploma)

Furthermore, good English skills are required (e.g. TOEFL, IELTS or comparable tests), as the entire course is conducted in English. In the selection process, your school grades, extracurricular activities and a motivation letter are also taken into account. Further details on specific country certifications, minimum grades and language tests can be found on the official admissions pages of Constructor University.

You should bring enthusiasm for analytical thinking, problem-solving strategies and experimental enjoyment in dealing with mathematical models and data. Solid school knowledge in mathematics and science subjects as well as the willingness to engage intensively with complex issues are helpful. Teamwork skills, initiative and the motivation to also work interdisciplinarily are useful for a successful course and project work. Communication skills in English as well as an interest in programming and empirical research will also ease your start.

What content does the Bachelor's degree in Mathematics, Modeling and Data Analytics cover?

In the Bachelor's degree in Mathematics, Modeling and Data Analytics at Constructor University, you learn to analyse complex problems using mathematical methods and develop data-driven solutions. The course content combines classical mathematics, mathematical modelling and current data analytics skills:

  • Mathematical Foundations: Analysis, Linear Algebra, Number Theory, Discrete Mathematics and Algebra
  • Modelling and Programming: Mathematical modelling of real-world problems, Scientific programming with Python, Computational modelling
  • Data Analytics and Statistics: Machine Learning, Stochastic Modelling, Probability Theory, Data Analysis, Statistics
  • Advanced Specialisations: Topology and Differential Geometry, Dynamical Systems, Fundamentals of Mathematical Physics, Stochastic Processes and Financial Mathematics
  • Interdisciplinary Elective Modules: Electives: Quantum Mechanics, Analytical Mechanics, Particle Fields and Quanta, Quantum Informatics
  • Cross-disciplinary Skills: Logic, Argumentation, Data Visualisation, Communication, Social Engagement and Scientific Work
  • German Language and Humanities: Modules to promote intercultural competences and enhance your career opportunities in Germany

The degree programme imparts analytical, abstract and applied skills that you can use flexibly in science, technology and business.

How is the degree programme structured and organised?

The full-time degree lasts three years (6 semesters, 180 ECTS) and is delivered on campus in Bremen. The course follows the so-called “4C Model”:

  • Year 1 (CHOICE phase): Core modules in mathematics, modelling and programming. Opportunity to select additional modules and to change your study focus.
  • Year 2 (CORE phase): Specialisation in core mathematical and data-analytical methods as well as independent scientific work. Elective compulsory modules allow individual focus setting.
  • Year 3 (CAREER phase): Practice-oriented focus with mandatory internship (two months) or alternatively development of your own start-up plan. Opportunity for a semester abroad in the 5th semester and independent Bachelor’s thesis in the 6th semester.
  • Parallel running CONSTRUCTOR Track: Imparting cross-disciplinary key competences (including methods, scientific work, soft skills, German/Humanities)

The programme is modular. Teaching is conducted in English, with small learning groups, close supervision and an international campus life.

In which professional fields do doors open for you with this degree?

With a Bachelor’s degree in Mathematics, Modeling and Data Analytics, you are qualified for a variety of career paths:

  • Actuarial Science, Insurance, Finance and Banking: Analysis, risk management, quantitative financial models
  • Data Analysis and Data Science: Development of data-driven solutions for companies, research or public institutions
  • Operations Research: Optimisation of resources, processes and logistics for companies and authorities
  • IT and Information Security: Applied mathematics, cryptography, algorithm design
  • Statistics and Research: Data evaluation in scientific, industrial and public projects
  • Engineering and Technical Development: Application of mathematical methods in engineering sciences
  • Academic Career: Advanced Master’s degree, doctoral studies and scientific research
  • Teaching and Education: Teaching at schools or universities following appropriate further qualification

The international orientation of the degree and strong practical approach increase your chances of a fast career start – according to an alumni survey, 93 % of graduates succeed in doing so within one year.

What is campus life and the study location like at Constructor University?

You study and live on the modern campus of Constructor University in the north of Bremen. The approximately 80-hectare campus offers you everything for an intense academic and social life:

  • International Environment: Students from over 120 nations, the language of instruction is English
  • Close Contact with Lecturers: Small learning groups, individual support
  • Campus Life: Diverse student initiatives, accommodation options, sports and leisure activities
  • Good Connections: Bremen as a scientific and economic location offers numerous contacts to companies and research

The majority of students live on campus – this promotes the intercultural community and supports efficient learning as well as personal development.

What study costs should you expect and what funding assistance is available?

For the Bachelor’s programme in Mathematics, Modeling and Data Analytics, the following costs apply:

  • Tuition fees: €10,000 per semester (a total of €60,000 for 6 semesters)
  • Housing costs on campus: approx. €4,000 per academic year in a double room (September to May)

Constructor University offers individual financial support – all students receive a personal financing package upon admission. Additionally, there are merit-based scholarships:

  • Academic Achievement Scholarship: Automatic consideration based on grade point average
  • Sparkasse Mathematics Scholarship: Specifically for applicants to the MMDA programme (application deadline 1 February)

Further support options are available via the university’s advisory services, for example regarding education funds, instalment payments and grants.

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