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Computer Science: Innovation Engineering

The program is dedicated to developing effective solutions based on technological trends, solution architecture, and product development. For engineers who want to influence the development of companies' business or develop their own technical project. The program is licensed by the Ministry of Education and Science of Ukraine.

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Computer Science: Innovation Engineering

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

Program Overview

Multidisciplinarity is already an industry standard, startups are becoming more complex, and the tasks set for technical specialists are becoming more complex. That’s why we have developed this master’s program specifically for those engineers who want to influence the development of companies with their own solutions or want to create their own tech product using machine learning, blockchain, IoT, augmented reality, and artificial intelligence technologies.

During the course, you will analyze key technology trends and solutions related to machine learning and AI, blockchain, augmented reality, and more. You will also build an architecture of technological solutions by analyzing product, solution, technical, and business components in stages. And all this with examples and practice.

As part of the diploma, you will be able to create your own startup in the university’s accelerator or develop a useful IT solution for real companies.

Learning outcomes

Learn the key principles and structures of blockchain, cryptoeconomics, and cryptography
Understand how to integrate and use AI and AR in your work
Learn how to work with Big Data and Machine Learning in practice
Understand how to moderate potential risks in the field of information security and data quality
Consider how to build the architecture of technological solutions on the example of product, solution, technical, and business components
Go through the process of launching a tech startup: from idea to MVP development

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
Basic understanding of networks and understanding of how cybersecurity systems are built in companies (enterprises)
Willingness to allocate about 20 hours a week to study

Program Units

Module 2: Research and development activities

We analyze the basics of scientific research in the field of intelligent technologies of the decentralized data economy.

Module 3. Leadership and digital transformation

We will cover strategies for managing projects and programs for the development of intelligent decentralized systems

Module 4. Blockchain technologies

The module is dedicated to the development of decentralized software (Dapps).

Module 5. Knowledge management and data mining

We will work on the key principles of decentralized organization and the blockchain platform.

Module 6: Cryptoeconomy

The practice of using blockchain technology in the financial market.

Module 7: Cybersecurity and cryptography

Security of Smart Contracts

Submodules:

Module 8: Data and database management

Intelligent database management systems

Module 9: Machine Learning Engineering

Intelligent analysis of decentralized systems and data

Module 10: Capstone project

Development and presentation of a course project related to one or more disciplines.

Module 11: Startup incubator & Entrepreneurship track

Summer practical work on a startup/technology project that will become the basis for further Master's work. During this module, mentors will guide you through the process, providing advice, seminars, and lectures on all aspects of startup launching. This will be an excellent opportunity to validate your idea with experts and develop a network.

Industrial approach to cybersecurity organization

Developing entrepreneurship mindset

NLP

TBA

Module 12: 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

Gauthier Vasseur

Data analytics, AI, and digital transformation expert. Executive Director at Berkeley Fisher Center; CEO and Founder – Data Wise Academy; Founder and Co-President – Alliance for Inclusive AI.

 

His leadership experience includes both large tech-enterprises (Google, Oracle, Hyperion) and startups, Series A, and Pre-IPO companies (Semarchy, Trufa, TriNet).

 

Nowadays, Gauthier teaches at Berkeley and Stanford and is also adjunct lecturer at SET University, Kyiv.

 

Gauthier is also the author of the book “Devenez un Data Pionnier,” a must-read book for those who learn analytics.

Sergiy Synkovskyy

Principal Security Engineer at Wildix. Ex-VP of Infrastructure at Dfns. Master’s degree in computer science. More than 15 years of experience in information security, distributed systems development and software engineering.

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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