Master in Data Science

The programme is delivered exclusively online. We enable you to experience high-quality education wherever you are, supported by advanced tools and experts. Please be aware the schedule is set in the afternoon hours (Central European Time).

Why study at Algebra Bernays University?

We prepare you for digital professions on the global labour market

The highest-quality professional study programmes in Croatia

According to the results of the overall institution quality system evaluation conducted by the Agency for Science and Higher Education (ASHE), through the re-accreditation process we have been declared the highest-quality professional study programme in Croatia.

Numerous benefits

During your studies, you will have the opportunity to learn and obtain internationally recognised certificates, along with receiving a Dreamspark Premium subscription to over 160 Microsoft products.

96% employment success rate

96% of our graduates get employed in their respective professions 3 months after completing their studies.

International exchange with more than 140 universities

We organise international activities for our students, lecturers and employees, as well as for foreign students and experts who share our values and beliefs. We support the exchange of students and lecturers and encourage the implementation of practical coursework abroad.

In-demand professions

Data engineers, digital marketing and strategy specialists, artificial intelligence and machine learning specialists, programmers are just some of the professions of the future for which Algebra University offers educational opportunities at both bachelor and master level.

Your career

Our partner employers are constantly looking for talented students. We are here to connect you and help jumpstart your career while you’re still studying. Our Career Centre has answers to all your questions.

Croatia, as well as other European countries, has the highest demand for digital talents in STEM and STEAM. This includes engineers, mathematicians, physicists, data analysts, cybersecurity experts, but also all those who are skilled in applying creative knowledge in the digital sphere of multimedia production or game development, for which Algebra has recently launched new study programmes.

Algebra Bernays University values diversity and actively seeks students from different backgrounds and nationalities to enrich the campus culture and broaden their horizons. Applicants from all around the world would be expected to meet the standards of academic excellence that include skills such as critical thinking, creativity, adaptability, teamwork, leadership and others relevant in today’s world. Study in Croatia, excel at Algebra Bernays.

General learning outcomes

1. Evaluate and analyze complex and insufficiently defined problems in the field of occupation using concepts of information theory, applied mathematical theory, and best engineering practices.
2. Introduce innovative solutions in the field of applied computing by critical analysis and evaluation of current knowledge, models, and solutions in the field of expertise, using “best practice solutions” and familiar and modified problem scenarios.
3. Apply complex research and analysis methods to determine the detailed user or organizational requirements for information solutions or systems.
4. Identify, analyze and explain the problems of applying, polishing, and implementing existing information systems in a wider business context and propose adequate solutions.
5. Manage relationships with users and/or members of a team, recognizing possible sources of misunderstanding and conflict and proactively and effectively influencing their inhibition.
6. Design, prepare and manage the implementation of development projects in the field of applied computing using recognized methodologies and taking into account available resources, budgets and risks.
7. Be aware of the business, organizational, and sociological aspects of application and impact on the environment (user, organization, society) when planning, designing, and applying information systems.
8. Evaluate the entrepreneurial idea and propose adequate business and organizational conditions for its realization.
9. Proactively manage your own professional and personal development and collect new knowledge and skills in different contexts and environments (e.g. through successful and unsuccessful projects, through continuous self-learning and monitoring of scientific and technological achievements, and additional education).
10. Independently design and manage IT project with available resources, taking responsibility for personal and team tasks in unpredictable business conditions and environment.
11. Perform an independently significant final project by following a set of requirements and standards and by applying modern technologies, tools, and methodology.

Specific learning outcomes

1. Critically evaluate the impact of disruptive technologies on the business environment, evaluate the impact of various disruptive technologies within the sector in which they emerged, and analyze the potential for new disruptive technology.
2. Choose appropriate methods to work with missing data and data transformation, recommend solutions to identified problems when preparing data and choose adequate solutions for a problem in the process of integration, normalization, and data discretization.
3. Create a program solution that solves part of the data problem.
4. Assess the impact of different types of security risks and analyze the provisions of the code of ethics that protect the right to privacy and explain conceptual difficulties in determining the right to privacy.
5. Assess the impact of different types of reduction of features and apply the appropriate basic methods of reduction of features and samples and choose the appropriate machine and in-depth learning algorithms to address the observed business problem.
6. Identify, interpret and determine the basic measures of central tendency and dispersion in terms of applicability, interpretability, and usefulness and interpret the basic aspects of correlation and regression analysis.
7. Explain social network analysis and what are its goals; recommend basic network, centrality, prestige, and network grouping, and rank basic functionalities of social network analysis software 46. Analyze the advantages and disadvantages of cloud analytics; choose the adequate cloud services and apply them to solve a specific business problem.
8. Analyze features of psychophysical, voice, verbal and facial expressions in the context of model development for automated recognition of affective states in industries.
9. Review potentials of large data sets and techniques for analyzing large data sets and evaluate product quality using relevant knowledge.
10. Evaluate the role and benefits of visualization of data in relation to numerical representation and choose the appropriate types of visualization tools and explorative analysis for a given problem.

First year

Semester 1

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

Electives

• Advanced mobile programming
• Advanced application development based on templates
• Data Engineering

Semester 2

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

Electives

• Advanced information system interoperability
• Advanced programming paradigms
• Computer vision fundamentals
• Secure coding
• Structured analytic techniques
• Introduction to machine learning

Second year

Semester 3

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

Electives

• Affective computing
• Rapid development of Java applications using frameworks
• Advanced client-side scripting
• Optimization algorithms based on evolutionary computation
• Applied DevOps
• Data visualization: Techniques and tools

Semester 4

• Final thesis

Examples of jobs we are preparing you for:

1. Data Analyst
   A wide array of tasks awaits you, from developing IT support to accessing data from various sources and preparing databases.
2. Specialist for Business Intelligence (BI)
   You’ll be implementing analytical and integrated data storage and business decision support systems.
3. Data Specialist
   A true expert in discovering and extracting knowledge from hidden data and their interpretation and visualization.
4. Data Engineer
   A very dynamic job, depending on the specialization, can include anything from data preparation and effective data architecture, all the way to its interpretation and sophisticated analysis.
5. Project Manager
   A responsible position overseeing the planning and execution of projects involving the implementation of databases for analytical systems.

Algebra Bernays University is ranked 1st in Croatia with respect to the overall quality of the programmes and HEI according to the National Agency for Science and Higher Education and is the best education organization in the world among 3200 organizations as evaluated by Microsoft in 2014. Algebra is a co-founder of the Leading Learning Partners Association (LLPA) recognized as the winner of 2020 Microsoft Learning Partner of the Year.

The only institution in Croatia that has met the quality requirements of the NVAO.