On-campus program Physics and Data Science (B.Sc.) – Constructor University

👉 The three-year Bachelor's programme in Physics and Data Science at Constructor University is aimed at prospective students who wish to learn a combination of physics and data science methods. The programme imparts core competencies in classical and modern physics, programming, mathematical modelling, machine learning, and data analysis. Special features include the modular 4C study model, a mandatory internship, and a semester abroad, all of which promote practical experience and an international perspective. Teaching takes place on campus in Bremen and is conducted in English. The accredited Bachelor of Science degree prepares graduates for diverse career paths in research, engineering, management, or advanced Master's studies.

At a Glance

🏫 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
📜 Degree Bachelor of Science (B.Sc.)
⏳ Duration 6 Semesters
🎯 ECTS 180 Credit Points
🌍 Language of Instruction English
📖 Course contents Here are the given data translated into English (en-GB): Classical Physics, Programming in Python and C++, Modern Physics, Mathematical Modelling, Core Algorithms and Data Structures, Analytical Mechanics, Electrodynamics & Relativity, Quantum Mechanics, Statistical Physics, Advanced Physics Lab I, Advanced Physics Lab II, Computational Modelling, Scientific Data Analysis, Machine Learning, Condensed Matter Physics, Particles, Fields and Quanta, Biophysics, Atoms and Molecules, Nanotechnology, Advanced Optics, Deep Learning, Data Visualisation and Image Processing, Stochastic Modelling and Financial Mathematics, Quantum Informatics, Foundations of Mathematical Physics, Topology and Differential Geometry, Electronics, Information Theory, Physical Chemistry, Matrix Algebra & Advanced Calculus I, Matrix Algebra & Advanced Calculus II, Probability and Random Processes, Statistics and Data Analytics, Logic, Causation and Correlation, Argumentation, Data Visualisation and Communication, Linear Models/Matrices, Complex Problem Solving, Agency Leadership and Accountability, Community Impact Project.
📚 Electives Core Algorithms and Data Structures, Algorithms and Data Structures, Condensed Matter Physics, Particles, Fields and Quanta, Biophysics, Atoms and Molecules, Nanotechnology, Advanced Optics, Deep Learning, Data Visualization and Image Processing
📍 Location Bremen
📅 Enrollment Winter semester
💶 Fees
from 10000 € Semester fee
from 60000 € total
🔗 More Info View Vendor Profile

Who is the Bachelor’s in Physics and Data Science suitable for?

The Physics and Data Science degree programme at Constructor University is aimed at school graduates with the German Abitur as well as international school leavers who are interested in the interface between modern physics and data-driven technologies. The programme is suitable for you if you aspire to an academic career in physics, data science, engineering or related technological fields, or if you want to acquire a solid foundation for interdisciplinary studies. Typical target groups are STEM-enthusiastic students who wish to study in an international environment, as well as young people with an interest in analytical thinking, research and technological innovation.

What formal admission requirements apply?

To be admitted to the Bachelor’s degree programme in Physics and Data Science, you need a university entrance qualification, such as the Abitur, the Fachhochschulreife or an internationally recognised equivalent school-leaving certificate. Since the course is taught entirely in English, you must provide proof of good English language skills, usually through recognised language tests such as TOEFL or IELTS. The application process is open both to international applicants and to German school leavers. Further formal certificates, for example of mathematics or physics achievements, may be required depending on your country of origin and individual circumstances. A grade point average conducive to the study objectives is primarily considered for scholarships.

On a personal level, you should have a strong interest in scientific questions and the application of mathematical methods. Solid basic knowledge of mathematics and science subjects at school, analytical thinking skills as well as enjoyment of experimental work and data analysis are important. For the English-speaking environment, it helps to be communicative, open to teamwork and internationally oriented. Independence, determination and a responsible approach to complex tasks are advantageous, especially since the course includes research- and practice-oriented practical phases as well as a semester abroad in the fifth semester.

What content does the Bachelor’s degree in Physics and Data Science convey?

The Physics and Data Science degree programme at Constructor University links fundamental and advanced knowledge in physics closely with key methods of data sciences. The curriculum combines classical physical disciplines with current data-driven technologies and specifically prepares students for a technology-driven job market. The main subject areas are:

  • Fundamental modules: Classical Physics, Modern Physics, Programming in Python and C++, Mathematical Modelling
  • Algorithms and Data Structures: Introduction and deepening of essential concepts for processing large data sets
  • Advanced physics subjects: Analytical Mechanics, Electrodynamics & Relativity, Quantum Mechanics, Statistical Physics
  • Practical laboratory exercises: Advanced Physics Lab I & II for developing experimental skills
  • Interdisciplinary Data Science content: Machine Learning, Scientific Data Analysis, Computer-based Modelling
  • Specialisation modules: Opportunity for individual focus on topics such as Condensed Matter, Particles and Fields, Biophysics, Atoms and Molecules, Nanotechnology, Advanced Optics, Deep Learning, Data Visualisation, Image Processing, Stochastic Modelling and Financial Mathematics
  • Core competencies: Methodological skills (e.g. statistics, data analysis), German Language & Humanities, Argumentation and Communication, Leadership, Social Engagement

By combining physical fundamentals and modern data science, you acquire comprehensive analytical, mathematical and computer-based skills, complemented by social and communicative know-how.

How is the Physics and Data Science degree structured?

The degree is designed as a three-year full-time programme (six semesters, 180 ECTS). It is entirely taught in English and follows the so-called “4C Model” (CHOICE-CORE-CAREER plus CONSTRUCTOR Track):

  • First year: Selection and attendance of introductory courses focusing on fundamental physics, programming and mathematical modelling. Here you lay the foundation for your specialisation areas.
  • Second year: Deepening through specialised “CORE modules” in physical concepts and data science. In parallel, you attend advanced methods, communication and society modules.
  • Third year: Self-chosen specialisations in modern physics and data science topics take centre stage. A compulsory two-month internship or a start-up project provides practical experience and enables the application of what you have learned to specific professional fields.
  • The CONSTRUCTOR Track: Across all three years, interdisciplinary competences such as project and communication skills, social engagement and intercultural sensitivity are developed.
  • Mobility and international perspectives: In the fifth semester you can complete a semester abroad or deepen your knowledge at a partner institution.

Teaching takes place in small groups, with intensive supervision and numerous laboratory, project and practical elements.

What career opportunities open up for graduates?

With a Bachelor of Science in Physics and Data Science, you have access to a broad professional field that includes both demanding positions in fundamental research as well as in applied, data-driven industries. Typical career paths include:

  • Research and development in natural sciences, technical and engineering fields
  • Data analysis and data management in quantitative sciences, life sciences or engineering
  • Consulting, market research, management (e.g. consulting, risk management, analysis of complex systems)
  • Work in high-tech industries (e.g. quantum computing, nanotechnology, new materials, energy)
  • Finance, insurance or business sectors with a high demand for data scientists and analysts
  • Academic career: entry into international master’s or doctoral programmes in physics, data science, mathematics or related disciplines

Your prospects are completed by comprehensive key qualifications such as communication and teamwork skills, building an international network and developing interdisciplinary problem-solving competence.

Where does the degree take place and how is it organised?

All courses are held at the international campus of Constructor University in Bremen. The campus is designed as a residential and study environment that offers students from over 100 countries an intercultural community life, short distances to teaching and laboratory facilities as well as numerous leisure, research and service opportunities. The spatial proximity of all central facilities promotes exchange, cooperation and intensive learning in small groups.

What are the costs of the degree and what financing options exist?

The tuition fees for the Bachelor’s programme Physics and Data Science at Constructor University are €10,000 per semester – a total of €60,000 for three years (six semesters). In addition, costs for accommodation (from €4,000 per year in shared rooms) and living expenses apply.

  • Each admitted person receives an individual financing package, which depends on financial need and performance.
  • All applicants are automatically considered for academic scholarships based on their grade point average.
  • Further financing options such as low-interest student loans and support funds for students with special needs are available.
  • The Student Financial Service team supports you individually in planning and securing your study financing.

Thus, it is ensured that qualified and committed individuals from diverse financial backgrounds can gain access to the degree programme.

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