122. Computer Science: Machine Learning & Cloud Computing
A comprehensive master's program with a focus on cloud technologies, ML, and their combination to develop relevant business solutions. The program is licensed by the Ministry of Education and Science of Ukraine.
122. Computer Science: Machine Learning & Cloud Computing
Program Overview
Master of Machine Learning & Cloud Computing is a program for those engineers who want to understand cloud technologies and machine learning in detail, as well as the combination of these technologies to develop business solutions.
During the program, you will get a detailed look at modern cloud solutions and machine learning technologies. Course by course, we will consider their capabilities and application prospects that open up for developers. You’ll go from the mathematical foundations of machine learning models to complex business solutions at the intersection of cloud and AI.
As part of your thesis, you will be able to create your own startup in the university’s accelerator or develop a useful IT solution for real companies.
What will you learn
Requirements for applicants
Program Units
Module 1. Innovative technologies in business and society
Module 2. Technical Project Management
Module 3. Strategies and advanced management in IT
Module 4. Python for developers
Module 5. Intro to Cloud
Module 6. Innovative technologies in business and society
Module 7. Technical Project Management
Module 8. Strategies and advanced management in IT
Module 9. Math and Statistics for AI
Module 10. Databases (SQL)
Module 11. Machine Learning Fundamentals
Module 12. Entrepreneurship
Module 13. Intro to Deep Learning
Module 14. NoSQL
Module 15. Advanced infrastructure services
Module 16. Entrepreneurship
Module 17. Cloud infrastructure services
Module 18. MLOps
Module 19. Data Analysis OR Data Visualisation
Module 20. Solution Design | Solution Architecture | 4 ETCS
Module 21. Capstone project | 3 ETCS
Module 22. Startup incubator | 10 ETCS
Module 23. Master thesis | 18 ETCS
Module 24. Research & Development
Module 25. Elective Courses | 2 * 3 ECTS
Tutors
Maxim Pochebut
Academic Director and a member of the Academic Board of SET University. Ph.D. in Technical Sciences, Associate Professor. Chief Learning Officer at Sigma Software Group. EX-VP of Education at IT Ukraine Association
Dmytro Kuzmenko
Dmytro leads the development of sophisticated machine learning pipelines. He is pursuing a PhD in Computer Science with a focus on Robotics and Reinforcement Learning. As a Senior Lecturer at Kyiv-Mohyla Academy, he teaches students by sharing his knowledge in different subfields of AI. He is also a frequent speaker at AI-centered events.
Benefits
A complete academic program developed in accordance with the requirements and standards of the Ministry of Education and Science of Ukraine
Learning can be combined with a full-time job
Exclusive access to the bootcamps, events and tech communities partnering with SET University
Mentoring approach in teaching from teachers with academic and practical experience from Ukraine, Europe and the States
Fundamental education combined with practice, modern technologies and work on the real challenges of tech companies
Own startup as part of a Master thesis, in-depth understanding of tech businesses and development of leadership skills
Students' Feedback
Alex Rozhniatovskyi
The university offers a convenient format and schedule for studying, which can be combined with a full-time job. However, it can sometimes be challenging, especially if you want to submit everything on time and read additional materials. Personally, my studies take about 20-30 hours per week.
It’s great that you can choose disciplines within the course, allowing you to pick what aligns with your interests. However, you will still study not only technical subjects but also management, which is given a lot of attention. I advise future master’s students to apply if they already have an idea for their thesis project and a desire to start their own startup. Otherwise, you’ll need to think quickly after enrolling.
The university team does a lot to improve the learning process and support us as students. There’s also the SET University Community, which is not limited to just students. Here, you can form a team for CTF, listen to lectures from guest speakers, and address your queries.
Kateryna
Studying is convenient: the professors are accommodating, and the schedule for submitting assignments is flexible. There are morning lectures and evening ones. I definitely prefer the morning classes.
My favorite courses are Technical Project Management and Entrepreneurship. I see great ideas among my classmates, so we expect a technological boom in 1.5 years after graduating from the program.
For whom?
Penetration Testers, IT Auditors, System Administrators, Business Analysts
Software Developers, Software Engineers (any programming language), QA Engineers at the Junior level and above
Specialists who have a higher education in a non-technical field, but work in the IT field
Project and Product Managers, Product Owners, Heads of IT departments
Bachelor’s degree graduates in any IT field who have passed the state exam
Tech professionals who want to start their own startup
Register for ЄВІ and ЄФВВ 2024
This year, all applicants for master’s programs are required to take the national testing ЄВІ and ЄФВВ (even those who already hold a master’s degree). To do this, you need to register through the university’s admissions office (it’s free and sincerely offered).
To register for ЄВІ/ЄФВВ, fill out the form, and we will assist you with everything else.
Official name of SET University in the EDEBO
Institution code – 6664
Full name – Приватна установа “Університет науки, підприємництва та технологій”
Short name – ПУ “УНПТ”, Університет науки підприємництва та технологій
Learn more about this Master's program at SET University
Questions left?
Get a consultation: hello@setuniversity.tech
