Physics and Data Science, Bachelor of Science

On-campus program @ Constructor University 

The Bachelor of Science in Physics and Data Science at Constructor University provides a comprehensive education in physics combined with the essential aspects of data science. The programme spans three years and includes foundational modules such as Classical Physics and Programming, as well as advanced topics like Machine Learning and Quantum Mechanics. Students benefit from practical experiences during a mandatory internship and the CONSTRUCTOR Track, which promotes methodological and language skills to prepare them for a successful career in a technology-driven environment. Prospective students interested in traditional disciplines and modern data approaches will find an ideal study environment here.

At a Glance

University Constructor University, University based in Bremen
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.
Field of Study Natural Sciences
Degree Bachelor of Science (B.Sc.)
Duration 6 Semesters
ECTS 180 Credit Points
Language of Instruction English
Course contents Classical Physics, Programming in Python and C++, Modern Physics, Mathematical Modeling, Core Algorithms and Data Structures, Analytical Mechanics, Electrodynamics & Relativity, Quantum Mechanics, Statistical Physics, Advanced Physics Lab I, Advanced Physics Lab II, Computational Modeling, Scientific Data Analysis, Machine Learning, Condensed Matter Physics, Particles, Fields and Quanta, Biophysics, Atoms and Molecules, Nanotechnology, Advanced Optics, Deep Learning, Data Visualization and Image Processing, Stochastic Modeling and Financial Mathematics, Quantum Informatics, Foundations of Mathematical Physics, Topology and Differential Geometry, Electronics, Information Theory, Physical Chemistry
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 https://constructor.university

Admission requirements

Applicants should have a general university entrance qualification or an equivalent international baccalaureate that allows access to universities.

Good English language skills are required, as classes and course materials are in English. Basic knowledge in mathematics and natural sciences is advantageous.

Details

The Bachelor of Science in Physics and Data Science at Constructor University is a three-year full-time programme that prepares students for diverse career paths. With a strong focus on the fundamentals of physics and the growing importance of data science, the programme provides a solid education in both disciplines.

In the first year, students focus on basic modules such as Classical Physics, Programming, Mathematical Modelling, accompanied by optional modules in Algorithms. The second year deepens the understanding of core subjects including Analytical Mechanics, Electrodynamics, Quantum Mechanics, and Machine Learning. In the third year, students choose specialisations in areas such as Condensed Matter or Deep Learning Algorithms to consolidate their knowledge and stay up to date with the latest research. A mandatory internship between the second and third year allows students to gain practical experience and apply acquired knowledge to real situations. The CONSTRUCTOR-Track module offers additional methodology and language modules covering topics such as Logic, Argumentation, and Communication Skills.

Ideal for students interested in both traditional scientific studies and modern data-driven approaches, this programme provides a solid foundation for career-oriented or scientific paths in numerous industries and research facilities.

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