| Study Location | Lviv |
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| Academic Field | F12 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 (Information Design Technologies) |
| 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. |
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| 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. |
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| Language Requirements | English (B1/B2) |
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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: Methods & Tools of Information Systems and Technologies for Design; Mathematical Modelling of Design Objects & Processes (CAD/CAE foundations); Databases & Knowledge Engineering for CAD (schemas, queries, integrity); Software Engineering for CAD/PLM (requirements, architectures, APIs); Research Methods & Academic Writing for CS; Elective (e.g., Statistics for Engineers / UX for Engineering Software)
Semester 2: Technology of Computer-Aided Design (CAD/CAE/CAM integration); Algorithmic & Numerical Methods for Simulation/Optimization in Design; Distributed/Networked CAD Systems (client-server, security); Innovative IT for Engineering Workflows (data pipelines, microservices); Quality Assurance & Testing of Design Software; Industrial Project / Internship in a partner lab or company
Year 2
Semester 3: Advanced Topics/Electives (e.g., Parametric/Generative Design; 3D/AR; Digital Twins); Master’s Research Seminar & Prototype Development; Master’s Thesis & Defense.
Overview
Design and build the IT backbone of modern design: students learn to model objects and processes, develop and integrate CAD/CAE/CAM and database solutions for computer-aided design, and apply statistical and innovative IT methods to real engineering workflows.
Main edge: it’s a computer-science-driven CAD/PLM program—you don’t just use design software; you engineer the information technologies behind it (databases for CAD, modeling, systems integration, standards), preparing for roles that link software development with engineering design.
Career Opportunities
Graduates can work as CAD/PLM engineers building and integrating computer-aided design systems; develop engineering software as CAD/CAE/CAM developers or toolchain integrators; become simulation and optimization engineers supporting digital prototypes and virtual testing; serve as BIM/parametric modeling specialists linking product data with design and fabrication; work as data engineers for engineering data (schemas, pipelines, versioning, APIs); act as PLM/enterprise systems consultants configuring workflows and product lifecycles; join DevOps/MLOps for engineering platforms, CI/CD of design apps, and cloud deployments; specialize in UX/UI for engineering software and technical visualization.
They can lead quality assurance for design tools, test automation, and performance benchmarking; become digital-twin or industrial IoT engineers connecting sensors with models and dashboards; manage products or projects for CAD/PLM vendors, integrators, or R&D centers; pursue a PhD or research roles in computer-aided design, simulation, and digital manufacturing.