Data Engineering

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 2 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Next Intake TBA

Course Overview

The Data Engineering Masters Degree at Constructor University equips you to tackle the complex challenges of managing and leveraging vast datasets. In today's data-driven world, the ability to acquire, curate, and effectively manage big data is paramount for driving innovation across all industries. This program is ideal for aspiring professionals who possess strong analytical skills and a desire to apply computational and mathematical knowledge to solve real-world problems. You will delve into the core technological aspects of data analytics and data science, preparing you for a critical role in the modern technological landscape.

This full-time, on-campus Masters Degree is structured over two years, offering a blend of foundational methods and specialized discovery areas. You will engage with core curriculum including methods, discovery, and career-focused modules, culminating in a significant master's thesis. The program structure encourages hands-on learning and deep exploration within your chosen elective area. Upon graduation, you will be prepared for diverse career paths in data management, data science, and advanced analytics, equipped with the practical skills and theoretical understanding demanded by leading technology firms and research institutions.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This course provides a foundational understanding of data engineering principles and practices. Students will explore the essential concepts and tools used in building and managing robust data systems. The curriculum covers the lifecycle of data, from ingestion and storage to processing and serving, equipping learners with the skills to handle diverse data challenges.

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
Total Program Cost Estimated total tuition
USD 47,054.00

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

Artificial Intelligence & Machine LearningBlockchain & Emerging TechnologiesCloud Computing & InfrastructureData Science & AnalyticsDevOps & Site Reliability EngineeringHardware & Semiconductor EngineeringIT Support & Systems AdministrationNetworking & Internet ServicesQuality Assurance & TestingSoftware Development & Engineering

Top Employers Hiring for this course

Digitus Solutions

JetBrains

Why Study Data Engineering 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 Data Engineering 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 without needing a separate work permit.

What English language score do I need for this course?

To enroll, you must meet English test requirements. Acceptable tests include Duolingo, TOEFL, IELTS, and PTE with specified minimum scores.

What jobs can I get after studying this course?

Graduates can pursue careers as Data Engineers, Data Analysts, Business Intelligence Developers, or Machine Learning Engineers.

What will I actually study in this course?

The Data Engineering curriculum covers big data analytics and the technological challenges of data acquisition and management. It offers four focus tracks: Computer Science, Geo-Informatics, Bio-Informatics, and Business & Supply Chain Engineering.

When can I start — what are the intake months?

The Data Engineering program has an intake period in September. Ensure you apply in advance to secure your place.
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