No. 1 quality assurance system in Croatia
Creating a digital future in Croatia for 26 years
Institutional exchange agreements with more than 100 institutions
96% of alumni employed 3 months after graduation
General learning outcomes:
- Evaluate and analyse complex and insufficiently defined problems in the field of occupation using concepts of information theory, applied mathematical theory and best engineering practices
- 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
- Apply complex research and analysis methods to determine detailed user or organizational requirements for information solutions or systems
- Identify, analyse and explain the problems of applying, polishing and implementing existing information systems in a wider business context and propose adequate solutions
- Manage relationship with users and / or members of a team, recognizing possible sources of misunderstanding and conflict and proactively and effectively influence their inhibition
- 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
- Be aware of business, organizational and sociological aspects of application and impact on the environment (user, organization, society) when planning, designing and applying information systems
- Evaluate the entrepreneurial idea and propose adequate business and organizational conditions for its realization
- Proactively manage your own professional and personal development and collect new knowledge and skills in different contexts and environment (e.g. through successful and unsuccessful projects, through continuous self-learning and monitoring of scientific and technological achievements, additional education …)
- Independently design and manage IT project with available resources, taking responsibility for personal and team tasks in unpredictable business conditions and environment
- Perform an independently significant final project by following set of requirements and standards and by applying modern technologies, tools and methodology
Professional learning outcomes – Software Engineering
- Analyse business requirements and based on them recognize the essence of the key problems and solve them with the application of known and modified algorithms, data structures, program architecture and design patterns supported by software engineering techniques and adequate tools
- Based on discrete mathematics method, applied on limited and real samples (as opposed to infinite and ideal) analyse large amounts of data, and design and analyse problem solving algorithms; use them in software solutions
- Expert usage of current programming languages (Java, C #, …) and development tools, and apply current software development methodologies using object-oriented approach
- Use advanced stochastic models and methodologies for sample analysis and recognition, data mining and problem solving from the business intelligence domain
- Use algorithms to create encryption models of data protection and encryption for data access protection within databases, software solutions and electronic business systems
- Create, plan and design user interface in accordance with current trends in design, ergonomics and accessibility, including interfaces for users with special needs
- Design and make computer games of high complexity, including those with a 3D graphic interface
- Plan and create complex interactive application solutions for mobile platforms, including custom interface design and business applications and computer game design
- Design and build complex solutions based on service-oriented architecture
- Design and make simpler programming solutions for robotics management and use the Internet of Things concept
Study type
Online
Medium of instruction
English
Study programme duration
4 semesters (2 years)
Semester duration
15 weeks of active teaching
+ 4 examination weeks
Total number of ECTS points
120
Algebra University Title
Professional Master in Computer Engineering
Certifications obtained during studies
IT SMF
ITIL Foundation