Mathematics, Modeling and Data Analytics BSC

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 3 Years
Mode On Campus
Level Undergraduate
Degree Bachelors Degree
Next Intake TBA

Course Overview

The Mathematics, Modeling and Data Analytics BSc at Constructor University is designed for ambitious students eager to master the quantitative and computational tools essential for understanding and shaping our increasingly data-driven world. You will explore the fundamental principles of mathematics, delve into the art of mathematical modeling, and gain proficiency in scientific programming and data analysis. This undergraduate degree provides a robust foundation in analytical thinking and problem-solving, preparing you for advanced study or a career at the intersection of theoretical mathematics and practical application.

This full-time, on-campus Bachelor of Science degree is studied over three years, integrating foundational CHOICE modules in your first year with advanced CORE modules in mathematics, modeling, and machine learning during your second. Your third year focuses on specialization through elective modules, a mandatory summer internship for professional experience, and a final-year Bachelor thesis project. You will graduate from Constructor University with a comprehensive skill set in mathematical analysis, computational modeling, and data analytics, ready for careers in fields like data science, finance, research, and technology.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This program provides a robust foundation in mathematics, modeling, and data analytics. Students will explore core mathematical concepts such as analysis, linear algebra, and algebra, alongside essential computational skills like scientific programming with Python. The curriculum progresses to advanced topics including machine learning, scientific data analysis, and various specialization electives in areas like mathematical physics, financial mathematics, and dynamical systems, preparing graduates for diverse analytical roles.

1 Year 1

Analysis Mandatory
Scientific Programming with Python Mandatory
Linear Algebra Mandatory
Mathematical Modelling Mandatory

2 Year 2

Algebra Mandatory
Complex Analysis Mandatory
Real Analysis Mandatory
Number Theory Mandatory
Discrete Mathematics Mandatory
Computational Modeling Mandatory
Machine Learning Mandatory
Scientific Data Analysis Mandatory
Topology and Differential Geometry Elective
Foundations of Mathematical Physics Elective
Stochastic Modeling and Financial Mathematics Elective
Dynamical Systems Elective
Stochastic Processes Elective

3 Year 3

Stochastic Processes Mandatory
Foundations of Mathematical Physics Mandatory
Dynamical Systems Mandatory
Topology and Differential Geometry Mandatory
Stochastic Modeling and Financial Mathematics Mandatory
Quantum Mechanics Elective
Analytical Mechanics Elective
Particle Fields and Quanta Elective
Quantum Informatics Elective

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

Cloud Computing & InfrastructureConsumer Finance & Credit ServicesCorporate Finance & TreasuryDevOps & Site Reliability EngineeringEconomic Research & PolicyHardware & Semiconductor EngineeringIT Support & Systems AdministrationInvestment Management & Asset ManagementSoftware Development & EngineeringWealth Management & Financial Advisory

Top Employers Hiring for this course

JetBrains

Statista

Why Study Mathematics, Modeling and Data Analytics BSC at Constructor University

What makes this program stand out

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 Mathematics, Modeling and Data Analytics BSC at Constructor University

Can I work while studying?

International students can work up to 20 hours per week or a total of 140 full days per year in Germany without a separate work permit.

What English language score do I need for this course?

To be eligible, you need a Duolingo overall score of 110, TOEFL overall score of 90, IELTS overall score of 6.5, or PTE overall score of 61. Please check specific scores for other sections as well.

What jobs can I get after studying this course?

Possible job titles include Data Analyst, Financial Analyst, Operations Research Analyst, Actuary, and Statistician.

What will I actually study in this course?

This program focuses on applying mathematics in various fields such as natural sciences and data science. Students gain skills in analyzing real-world problems using mathematical and algorithmic approaches.

When can I start — what are the intake months?

The intake month for the Mathematics, Modeling and Data Analytics BSC program is September. Ensure you apply in advance to secure your place.
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