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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.

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Computer Science: Machine Learning & Cloud Computing

Program Start: September 2024
Duration: 1.5 years
Language: UA/ENG
Format: Blended
ECTS: 90
Price: 58 500 uah/semester
Discount: -35%

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

Learn the key principles and basics of machine learning technology
Learn how to work with Big Data and Machine Learning to deploy business solutions in practice
Analyze the most popular cloud computing services and their integration with Python
Consider strategies for using cloud technologies and platforms for computing and storage
Learn how to build a fault-tolerant and adaptive infrastructure for cloud-based applications
Develop your own technology startup or solution at the intersection of cloud and ML technologies

Requirements for applicants

Bachelor's degree
English level B2+
Ability to program in Python or another language
EIA certificates of 2023 or 2024 and the compiled EEFI
Ability to work with containers
Knowledge of the principles of the cloud environment
Willingness to allocate about 20 hours a week to study

Program Units

Python basics

Statistics & ML (ML only partially)

Intro to Cloud

Cloud-based data storage

Cloud infrastructure services

Big Data

Deployment and Monitoring

Machine learning

Advanced infrastructure

Microservice architecture

Cloud security & Networking

Solution Development

Data Analysis

MLOps

Product Management

DataOps

Research and Development

Technical Project Management

Master Thesis

Further development of a startup or project that represents the general direction of your chosen Master's program. As part of the Master's program, you need to describe the experience of developing and creating your solution, as well as present the results at the end of the study. This will be the final stage of the SET Master's program.

You can also choose additional educational modules and supplement the curriculum

The Master's program is designed in such a way that you can also add interesting modules to the program. We strive to create a personalized educational experience that will benefit you

Tutors

Maxim Pochebut

Academic Director and a member of the Academic Board of SET University. Ph.D. in Technical Sciences, Associate Professor. Senior Lecturer (Kyiv-Mohyla Academy). VP of Education at IT Ukraine Association, Chief Learning Officer at Sigma Software Group.

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

COO в Sekurno

Університет пропонує зручний формат та графік навчання, який можливо поєднувати із фултайм роботою. Але іноді буває тяжко, особливо якщо хочеш все здавати вчасно та читати додаткові матеріали. Особисто в мене навчання займає близько 20-30 годин на тиждень.

Круто, що можна вибирати дисципліни в рамках навчального курсу, це дозволяє підібрати те що ближче до твоїх інтересів. Але в будь-якому випадку будеш вивчати не тільки технічні речі, багато уваги приділяють навчанню менеджменту. Раджу наступним студентам магістратури подаватися на навчання, якщо вже є є ідея для дипломного проекту та бажання робити власний стартап. Інакше треба буде швидко думати після того як поступив.

Команда університету робить багато для того, щоб покращити навчальний процес та допомогати нам як студентам. А ще є SET University Community, яка не обмежується лише студентами. Тут можна і в CTF зібрати команду, і послухати лекцію від запрошених спікерів, і вирішити свій запит.

Катерина

Навчатися зручно: викладачі йдуть назустріч, гнучкий графік здачі домашніх завдань. Є ранкові лекції, є вечірні. Мій лайк однозначно ранковим заняттям 🙂

Мої улюблені курси – Technical Project Management та Entrepreneurship. Бачу у своїх однокурсників круті ідеї, тож очікуємо на технологічний бум через 1,5 року, після випуску з програми 🙂

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

Learn more about this Master's program at SET University

Thank you! We will contact you shortly.

Questions left?

Get a consultation: hello@setuniversity.tech

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