The Computer Science Bachelor’s Degree Programme at the University of Economics and Innovation in Lublin offers a comprehensive education designed to equip students with the essential knowledge and practical skills necessary to excel in the rapidly evolving field of information technology. This program provides a solid foundation in both theoretical aspects of computer science and their applications in various industries. Throughout the course of studies, students are introduced to core disciplines such as programming, algorithms, data structures, software engineering, databases, networking, and cybersecurity, allowing them to develop problem-solving capabilities and analytical thinking.
The curriculum is carefully crafted to combine academic rigor with practical experience, including laboratory work, programming projects, and internships that prepare students for real-world challenges. Students will learn programming languages such as Java, Python, and C++, and will gain familiarity with software development methodologies, system analysis, and design. Emphasis is placed on understanding the architecture of computer systems, operating systems, and the integration of hardware and software to create efficient, reliable applications.
In addition to technical skills, the programme fosters critical thinking, teamwork, and communication skills essential for collaborative projects and leadership roles in the tech industry. The faculty comprises experienced specialists who employ innovative teaching methods, including case studies, project-based learning, and guest lectures from industry professionals, ensuring that students are well-informed about current trends and future directions in computer science.
Graduates of this programme can pursue careers in various sectors such as IT services, software development, telecommunications, finance, and public administration. They are equipped to work as software developers, system analysts, network administrators, cybersecurity experts, or pursue further studies in computer science and related fields. With a focus on both theoretical knowledge and practical application, the Computer Science programme at the University of Economics and Innovation in Lublin prepares students for a dynamic and competitive job market, empowering them to contribute to technological innovation and digital transformation across industries.
Curriculum activities include
- lectures – 1077 hours (including 240 hours with visiting professors),
- seminars – 606 hours,
- laboratory classes – 452 hours,
- traineeships – 480 hours (including 9 weeks in the employee’s enterprise)
International Summer School ( attendance is compulsory)
The international Summer School program will incorporate the following:
- Savoir-vivre – social convention, generally accepted standards, rules, social norms in Poland and in WSEI.
- Workshop on effective multicultural communication for students.
- How to legalize the stay in Poland?
- Meetings with the organizations supporting foreigners.
- Health Insurance System in Poland – how to use it.
- The rights and the duties of the employers and the employees.
- Lublin – a town friendly to international students;
- Use of IT systems;
- Workshops on innovation, entrepreneurship and management of projects in the international environment.
Theme activities
- Workshop on service design.
- Workshop on innovation (The activities’ aim is to order and increase the knowledge concerning entrepreneurship, social enterprises and innovation in production, processing and marketing, this will be accompanied by the inspiring presentations of the companies whose innovative products or services have successfully entered the market in Lublin area in recent times thanks to the innovative reproach towards the different stages of production or work).
Workshop on special skills (The target is to provide the listeners with the practical skills enabling them to enter the labor market, start an enterprise or make an application in the competition. Auto Presentation, “pitch”-presentation, composing the professional CV, business negotiation, personal and brand management in social networks, start-up companies will be in concern).
Specializations
- Big Data, Data Science. Artificcial Intelligience
The graduates are prepared to design IT systems, to program distributed applications, especially WWW applications and operating systems for mobile items like smart phones and tablet computers. The graduate is equipped with the essential knowledge to create a fully functional system with the use of advanced multilayer techniques and able to operate on Java Enterprise Edition (JEE) and Microsoft NET platforms. The graduate will be able to design data bases, build functionality of integrated managing systems, systems B2B, B2C and Business Intelligence. The graduate will be able to analyze and process data from Big Data using Cloud Computing as well as parallel processing techniques, Hadoop systems, NoSQL base, analysis and exploration of data using R and Python language.
The specialty answers to the great demand for specialists in data processing, relational and non-relational database, data storage and Big Data. A graduate gets acquainted with the full process of data processing from designing, programming, using, cleaning and storage, through requiring and reporting to compound analysis and knowledge discovery in databases.
- Internet of Things and Smart Grid Technologies
This specialty educates the graduates in the field of designing, implementing and exploitation of operating network systems, computer networks as well as managing them taking the security of database (storage and transmission) and reliability of apps and systems into particular consideration. A graduate is able to design and program the systems based on IoT, sensor nets (mainly wireless), remote control, adaptive apps, smart buildings and towns, measurement networks and monitoring systems.
A specialty studies educate of high class experts prepared to use the latest information and communication tools for contacts between devices and implementing an interface between a person and device as well as in “intelligent” systems apps based on IoT.
- Obligatory criteria:
- A filled in application form
- Submission of a set of documents required for recruitment
- Good command of English (proved by the certificates confirming at least at the B2 of common reference levelof English language ) and the candidates will have to take an entrance English exam (including demonstrating writing, reading, listening and speaking proficiency).
- Additional criteria:
- Disability
- Rural area origin
- Sex
In case the number of candidates exceeds the number of places the additional criteria will be applied.
Meeting the criteria mentioned above and the received number of points will decide on the candidate’s admittance. If the number of candidates exceeds the number of places the transcript of grades on the high school certificate or the result of maturity exam in a major subject will be taken under the consideration.
In case the criteria outlined in I and II do not allow the process of recruitment to be completed the order of applyingwill decide.
The last step is signing the Learning Agreement which will outline the conditions of studying and fees for studies under the Computer Science program (1st cycle of Engineering Studies, 3,5 year study cycle).
Terms of participation in classes
- The students are obliged to attend all the classes regularly which is registered by a personal signature on the list. The students are required to be punctual and actively participate in classes.
- The students are obliged to take part in the International Summer School.
- The students have to take part in monitoring the process of implementing the project, evaluating and estimating it by filling the relevant questionnaires.
- The students must show their presence on at least 90% hours of each program.
- The students have to take part in surveying the graduates careers within 12 months after graduation.
Want to improve your English level for admission?
Prepare for the program requirements with English Online by the British Council.
- ✔️ Flexible study schedule
- ✔️ Experienced teachers
- ✔️ Certificate upon completion
📘 Recommended for students with an IELTS level of 6.0 or below.
Career Prospects. Big Data, Data Science. Artificcial Intelligience
Graduates are prepared to work in IT companies, programming departments and analytical units. The obtained knowledge and skills enable graduates to work as experts in advanced data analysis, they can be employed in business (in production companies, banks, insurance companies, telecommunicating companies and others), public administration as well as in data processing and analysis centres. The knowledge of programming languages enables them to start a career as a programmer. Being acquainted with the tools and supporting processes of reporting the graduates can be employed as experts and designers of business applications created for clients individually.
After completing the course and obtaining the diploma in Engineering the graduate of this specialty receives professional qualifications in the following fields:
- information system designer (including www and mobile);
- C++, Java, C#, ASP.NET, PHP, HTML, Python, R programmer;
- mobile apps programmer;
- database programmer;
- SQL programmer;
- data analyst;
- Big Data and Business Intelligence designer;
Career Prospects. Internet of Things and Smart Grid Technologies
After completing the course and obtaining the diploma in Engineering the graduate of this specialty receives professional qualifications in the following fields:
- designing and programming information systems based on IoT solutions;
- designing and building ICT and computer networks;
- administration of computer networks;
- maintaining security of the information systems;
- administration and reconfiguration of active network devices;
- monitoring archiving, data backups and systems;
- conducting audits on distributed IT systems;
- supporting the users in solving problems related to the operation the information system.
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