Physics and Data Science

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 3 Years
Mode On Campus
Level Undergraduate
Degree Bachelors Degree
Closing soon August 2027

Course Overview

The BSc Physics and Data Science at Constructor University offers a unique pathway for those fascinated by the fundamental forces governing our universe and the power of data to unlock new insights. You will explore core physics principles, from classical mechanics to quantum mechanics, while simultaneously mastering essential data science techniques like scientific data analysis and machine learning. This undergraduate degree is ideal for students eager to bridge the gap between theoretical physics and computational problem-solving, preparing you for a future where these disciplines increasingly intersect.

This full-time, on-campus program is structured over three years, guiding you through foundational CHOICE modules in your first year, including Classical Physics and Programming in Python and C++, followed by in-depth CORE modules in your second year such as Analytical Mechanics and Machine Learning. Your final year allows for specialization through advanced modules in areas like Condensed Matter Physics or Deep Learning. You will graduate with a strong foundation in both physics and data science, equipped for postgraduate study or careers in fields ranging from scientific research and technology development to finance and data analytics.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This program offers a comprehensive exploration of physics and data science, spanning three years of study. The curriculum begins with foundational classical and modern physics, alongside essential programming, mathematical modeling, and data structure concepts. Subsequent years delve into advanced physics topics such as analytical mechanics, quantum mechanics, and statistical physics, integrated with computational modeling, scientific data analysis, and machine learning. The final year covers specialized areas like condensed matter physics, biophysics, and nanotechnology, complemented by advanced data science techniques including deep learning, data visualization, and stochastic modeling.

1 Year 1

Classical Physics Mandatory
Programming in Python and C++ Mandatory
Modern Physics Mandatory
Mathematical Modeling Mandatory
Core Algorithms and Data Structures Mandatory
Algorithms and Data Structures Mandatory

2 Year 2

Analytical Mechanics Mandatory
Electrodynamics & Relativity Mandatory
Quantum Mechanics Mandatory
Statistical Physics Mandatory
Advanced Physics Lab I Mandatory
Advanced Physics Lab II Mandatory
Computational Modeling Mandatory
Scientific Data Analysis Mandatory
Machine Learning Mandatory

3 Year 3

Condensed Matter Physics Mandatory
Particles, Fields and Quanta Mandatory
Biophysics Mandatory
Atoms and Molecules Mandatory
Nanotechnology Mandatory
Advanced Optics Mandatory
Deep Learning Mandatory
Data Visualization and Image Processing Mandatory
Stochastic Modeling and Financial Mathematics Mandatory
Quantum Informatics Optional
Foundations of Mathematical Physics Optional
Topology and Differential Geometry Optional
Electronics Optional
Information Theory Optional
Physical Chemistry Optional

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 23,527.00
Second Year Fee Tuition fee
USD 23,527.00
Third Year Fee Tuition fee
USD 23,527.00
Total Program Cost Estimated total tuition
USD 70,582.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 530.00 - USD 662.00
Food & Groceries USD 2,105.00 - USD 3,509.00
Transport USD 562.00 - USD 983.00
Utilities & Bills USD 1,404.00 - USD 2,105.00
Estimated Total USD 4,071.00 - USD 6,597.00

Living cost estimates are based on Bremen Campus.

Outcomes & Employability

What happens after you graduate

90%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Banking & Financial ServicesCloud Computing & InfrastructureCorporate Finance & TreasuryData Science & AnalyticsEconomic Research & PolicyFinancial Technology (Fintech)Hardware & Semiconductor EngineeringInsurance & Risk ManagementQuality Assurance & TestingSoftware Development & Engineering

Top Employers Hiring for this course

JetBrains

Statista

Why Study Physics and Data Science at Constructor University

What makes this program stand out

August 2027 Closing soon

Next intake is in August 2027

Fast Application response time

Constructor University typically responds to applications within a week, giving you clarity on your options quickly.

Life at Constructor University in Germany

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about Physics and Data Science at Constructor University

Can I work while studying?

International students can work up to 140 full days or 280 half days per year, or 20 hours per week in Germany. No separate work permit is needed.

What English language score do I need for this course?

English proficiency is required for this program. Accepted tests include Duolingo, TOEFL, IELTS, and PTE, each with specified score thresholds.

What jobs can I get after studying this course?

Graduates can pursue careers as Data Scientists, Physicists, Research Analysts, Software Developers, or Engineers.

What will I actually study in this course?

The Physics and Data Science program blends essential physics concepts with data science methodologies. Key topics include quantum computing and its applications in tackling complex problems.

When can I start — what are the intake months?

The intake month for the Physics and Data Science program is August. Make sure to apply before this month to secure your spot.
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