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Bachelor's studies

Bachelor’s in Artificial Intelligence and Machine Learning

Become an Artificial Intelligence Specialist!

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DURATION:

Starting September 25, 2025

TIME COMMITMENT:

15–20 hours per week

LANGUAGE:

English

TYPE:

Bachelor's Studies

PRICE:

€ 199 / mėn.

CREDITS:

180 ECTS

Tools and languages

Python
IDE
Terminal
C
Assembly
Pytorch
Jupyter
Panda
Tensor Flow
Keras

Future professions

Artificial Intelligence Specialist
Machine Learning Engineer

About the course

The profession of an Artificial Intelligence (AI) and Machine Learning (ML) engineer opens the door to freedom, versatility, and a strong career path. It’s a field where you can choose your own direction — working for global tech companies or independently from anywhere in the world, on your own terms.

AI and ML specialists combine creativity with programming and become an essential part of any modern business. The skills you acquire are highly valuable and applicable across a wide range of industries — from healthcare and finance to entertainment.

With the rapid growth in demand for artificial intelligence, the career outlook is incredibly promising. It’s a field that offers the opportunity to create, evolve, and pursue a well-paid job — with no limits except the ones you set yourself.

Artificial intelligence – what is it?

Artificial intelligence (AI) is a branch of computer science that focuses on creating systems capable of performing tasks that normally require human intelligence. These tasks include learning from experience, recognizing patterns, understanding language, solving problems, and making decisions. In simple terms, AI enables machines to think, reason, and act in ways that mimic human behavior.

AI systems are powered by algorithms that process massive amounts of data to identify trends, make predictions, or automate actions. A key component of AI is machine learning, where computers learn from data rather than being explicitly programmed. A more advanced form, called deep learning, uses artificial neural networks modeled after the human brain to process information and improve over time.

Today, AI is everywhere—from voice assistants like Siri and Alexa to recommendation systems on Netflix and YouTube, self-driving cars, medical diagnostics, and fraud detection in banking. Businesses use AI to analyze customer behavior, optimize processes, and create personalized experiences, while scientists use it to solve complex problems in medicine, climate research, and engineering.

Despite its benefits, AI also raises important questions about ethics, privacy, and the future of work. As machines become more capable, society must decide how to balance technological progress with responsibility and fairness.

In essence, artificial intelligence is transforming the way we live and work. It’s not just about smarter machines—it’s about using technology to enhance human potential, solve real-world challenges, and shape a future where humans and intelligent systems collaborate to create new possibilities.

Employment opportunities

Programme

  • 1 Module
  • 2 Module
  • 3 Module
  • 4 Module
  • 5 Module

Module 1: Programming Fundamentals for Data Science 30 ECTS Credits

Learn the core principles of software engineering: variables, functions, loops, conditionals, fundamental algorithms, and data structures.

You’ll be introduced to essential programming concepts and begin learning the C programming language. This module builds a solid foundation in programming, covering pointers, arrays, strings, algorithms, hash data structures, software architecture, blockchain basics, and more.

Key Topics: C, IDE Setup, Python, PyTorch, Jupyter

Module 2: Building Foundational Skills 30 ECTS Credits

As the studies progress, learners will dive deeper into C programming, including Shell scripting, and move on to intermediate data structures and algorithms. Students will begin learning Python and the fundamentals of machine learning — covering regression, training datasets, structured and unstructured data, as well as data collection, visualization, and storage.

They will also build a solid foundation in back-end development, including pointers, arrays, strings, algorithms, hash data structures, software architecture, blockchain basics, and more.

Key Topics: C, IDE Setup, Python, PyTorch, Jupyter

Module 3: Introduction to Data Science 30 ECTS Credits

Students advance into Python and machine learning fundamentals, exploring regression, training datasets, structured and unstructured data, data collection, visualization, and storage. This module also introduces selected cloud-based tools used in machine learning.

The goal at this stage is to understand how data can improve core business outcomes and become a strategic asset. Learners will apply their knowledge by completing several larger-scale, real-world projects.

Key Topics: Python, Pandas, TensorFlow, Keras, Jupyter

Module 4: Advanced Machine Learning 30 ECTS Credits

After mastering Python, students will delve into more advanced machine learning techniques, working with large and complex datasets. They will also study key business principles and how data can be leveraged to improve critical business outcomes. The module explores how data can become a strategic asset for organizations.

To strengthen their practical skills, students will complete several large-scale, real-world projects.

Key Topics: Python, Pandas, TensorFlow, Keras, Jupyter

Modules 5 & 6 (Year 3) 60 ECTS Credits

Learners will develop a final capstone project aligned with the specific industry or specialization they aim to enter. The project will span approximately five months and involve a high level of technical complexity, showcasing their knowledge in artificial intelligence and machine learning.

In addition, students will participate in simulated technical interviews to prepare for real-world recruitment processes, improving both their communication and problem-solving abilities.

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Test Your Knowledge of Artificial Intelligence!

Assess your skills by taking a short 5-question quiz! It’s a fun and quick way to discover your strengths and identify areas for growth.😎

Ready for the challenge? Start the quiz now! 🤩

Take the Quiz

Program Calendar

DURATION:

Starting September 25, 2025

TIME COMMITMENT:

15–20 hours per week

LANGUAGE:

English

PRICE:

€ 199 / mėn.

CREDITS:

180 ECTS

PROGRAM:

Download

Payment options

Monthly installment plan: €199 per month

One-time payment for the full program: €11,000

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