MSc. Applied Computer Engineering (Data Science)

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

Course Overview

The MSc Applied Computer Engineering (Data Science) at Algebra University empowers you to address complex challenges in the data-driven world, equipping you with advanced skills in areas like quantitative methods, programming in Python, and data warehousing. This postgraduate programme is ideal for aspiring professionals eager to leverage data for impactful decision-making and innovation. You will explore the critical intersection of computer engineering and data science, gaining a deep understanding of how to extract meaningful insights from vast datasets. This degree is designed to prepare you for a dynamic career at the forefront of technological advancement.

This online, full-time Masters degree, studied over two years, immerses you in practical learning through innovative projects and specialised modules. You will develop expertise in data engineering, machine learning, and cloud computing, alongside essential skills in areas such as social network analysis and data visualization. The curriculum is structured to provide a comprehensive understanding, culminating in a final thesis where you will apply your acquired knowledge to a significant research question. Upon graduation, you will be well-prepared for roles in data science, analytics, and advanced computer engineering fields, ready to contribute to industry and research.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This MSc in Applied Computer Engineering with a specialization in Data Science equips students with essential skills for the field. The curriculum covers foundational programming in Python, data warehousing, and business intelligence in the first semester, progressing to social network analysis, cloud computing data analytics, and DevOps in the second. The third semester delves into big data analysis techniques, advanced machine learning, and cyber security management. The program culminates in a final thesis in the fourth semester, allowing students to apply their acquired knowledge to a significant research project.

1 First semester

Innovative project 1 - Product or services ideation and planning Mandatory
Creativity and critical thinking Mandatory
Quantitative methods and modeling Mandatory
Programming in Python Mandatory
Data warehousing and business intelligence Mandatory

2 Second semester

Social network analysis Mandatory
Innovative project 2 - Product or services development Mandatory
Data analytics in cloud computing Mandatory
Intro to DevOps Mandatory

3 Third semester

Big data analysis techniques Mandatory
Innovative Project 3 - Go to market strategies Mandatory
Advanced machine learning Mandatory
Cyber security management Mandatory

4 Fourth semester

Final thesis Mandatory

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 7,587.00
Second Year Fee Tuition fee
USD 7,587.00
Total Program Cost Estimated total tuition
USD 15,175.00

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

Living Costs

Accommodation
USD 501.00 - USD 1,462.00
Food & Groceries USD 2,807.00 - USD 5,613.00
Transport USD 421.00 - USD 1,123.00
Utilities & Bills USD 1,123.00 - USD 2,246.00
Estimated Total USD 4,351.00 - USD 8,982.00

Living cost estimates are based on Zagreb Campus.

Outcomes & Employability

What happens after you graduate

96%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

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

Top Employers Hiring for this course

Hrvatski Telekom

Why Study MSc. Applied Computer Engineering (Data Science) at Algebra Bernays University

What makes this program stand out

Fast Application response time

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

Life at Algebra Bernays University in Croatia

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 MSc. Applied Computer Engineering (Data Science) at Algebra Bernays University

Can I work while studying?

International students are allowed to work up to 20 hours per week in Croatia without the need for a separate work permit.

What English language score do I need for this course?

Applicants need to meet specific English test requirements: TOEFL (overall score of 80), IELTS (overall score of 6.0), or PTE (overall score of 54). Ensure you achieve the minimum scores in listening, reading, speaking, and writing.

What jobs can I get after studying this course?

Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Quantitative Analyst.

What will I actually study in this course?

This course covers data analysis, machine learning, and data visualization, along with essential business concepts. You will also develop storytelling skills using data, which is critical for effective communication.

When can I start — what are the intake months?

The MSc. Applied Computer Engineering (Data Science) course has an intake period in September. Ensure you prepare your application and relevant documents in advance.
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