| Study Location | Lviv |
|---|---|
| Academic Field | F3 Computer Science |
| Type | Postgraduate, Full time (on-line study is available) |
| Nominal Duration | 1,5 years (90 ECTS) |
| Study Language | English |
| Awards | Master of Computer Science |
| Entry qualification | The Bachelor's degree diploma is required. Compulsory entrance exam. The entry qualification documents are accepted in English (except for documents issued in Ukraine upon completion of studies at local educational institutions) . In most cases you can request a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. You must take the original & legalized (according to the international agreements) entry qualification documents along with you when you finally enter the university. |
|---|
| Territory requirements | General entry requirement - Student visa. Citizens of the Russia, Iran, Belarus and North Korea who do not hold a permanent residence permit in Ukraine may be admitted for studies only with an individual authorization from the Ministry of Education and Science of Ukraine. |
|---|
| Language Requirements | English (B1/B2) |
|---|
Entrance Exam Description
During the selection process we examine the competency of the applicant in two ways:
The faculty decides about the eligibility of the applicant by examining the documents of previous studies (degree, subject, results). This is followed by an entrance exams that evaluate the level of study-language and specialty exam.
The exams can be conducted online. In order to validate the entrant’s person, exams taken remotely are recorded on video, as is the person verification process. The recording is archived for at least five years on University’s grounds and the link to that recording is available in the united base of Ministry of Education of Ukraine.
Program Structure
Year 1
Semester 1
You start with the technical core: Machine Learning, Innovative Information Technology (+ course work), Big Data Analysis Methods, Design of Deep Learning Systems, Occupational & Civil Safety, Information Marketing & Management.
Semester 2
You take Artificial Intelligence in Gaming Applications and choose from the elective block (e.g., Parallel & Cloud Computing, Foreign Language, Intellectual Property, Strategic Analysis, E-commerce & Internet Marketing, Business Logic Design, etc.). Then you pick a track:
• Deep Learning Systems: Modeling & Optimization for DL (+ course work), Associative & Network Analysis, Intelligent Analysis of Text & Sentiment; or
• Artificial Intelligence Systems: Data Visualization, Web Mining, Evolutionary Programming (+ course work).
Year 2 — Semester 3
You complete Master’s Thesis Internship, Thesis Preparation, and Thesis Defense.
Overview
This program prepares AI engineers to design intelligent, data-driven solutions and decision-support systems. Industry is deeply involved: SoftServe is a main partner and co-founder of the program, while department patrons include N-iX, GlobalLogic, and Ciklum; labs were upgraded with support from the Lviv IT Cluster. Quality is confirmed by international accreditation (ZEvA, Germany, 2024) in specialty F3 (ex. 122) Computer Science.
Skills you’ll gain (highlights): modeling and synthesis of AI systems; data & knowledge engineering; database and data-warehouse design; machine/deep learning; NLP and text analytics; computer vision & pattern recognition; parallel/big-data processing; and building intelligent decision-support systems.
This program offers double-degree pathways with leading universities in Germany and Slovakia—a powerful boost to your career.
Career Opportunities
Graduates step into roles like AI/ML Engineer, Data Scientist, Computer Vision or NLP Engineer, MLOps/ML Platform Engineer, Data Engineer, or Research Engineer.
They work across IT product and outsourcing firms, fintech, healthcare, manufacturing/Industry 4.0, logistics, e-commerce, telecom, and civic tech, applying deep learning, NLP, and computer vision to real products.
Typical responsibilities include training and deploying models, building decision-support systems, designing data pipelines, optimizing models for cloud/parallel computing, and turning business problems into AI solutions.
With experience, graduates progress to Senior/Lead Engineer, Solution Architect, AI Consultant, or Head of AI, or continue into a PhD in Computer Science/AI and research-driven careers.