Artificial Intelligence Engineering (English)

The Key to the Digital Age: Artificial Intelligence Engineering

Artificial intelligence is one of the fields most rapidly shaping business, technology, and consequently human life, today and in the future. The Beykoz University Artificial Intelligence Engineering (English) Programme aims to train creative engineers who not only use artificial intelligence, but design, develop, and apply it to real-world problems.

Who Is an Artificial Intelligence Engineer?

An Artificial Intelligence Engineer is an engineering professional who brings together mathematics, data, software development, and artificial intelligence methods to design, develop, and deploy intelligent systems, products, and services. AI engineers address the entire process — from data collection and model development to software integration, deployment, and monitoring — with a holistic engineering approach.

What Does an Artificial Intelligence Engineer Do?

An Artificial Intelligence Engineer analyzes the needs of users, institutions, and sectors and designs AI-based solutions accordingly. Using methods such as machine learning, deep learning, natural language processing, and large language models (LLMs), they develop models and integrate them with backend services, web, and mobile applications. They evaluate the performance, reliability, and security of the systems they develop, and continuously improve them based on the results obtained.

Where Does an Artificial Intelligence Engineer Work?

The field of Artificial Intelligence Engineering is quite broad. AI engineers can work in almost every sector: technology companies, telecommunications, banking and finance, e-commerce, healthcare, education, industrial enterprises, the service sector, and public institutions all require AI engineers. This demand continues to grow as artificial intelligence becomes more widespread across the business world.

Artificial Intelligence Engineering Education

The duration of Artificial Intelligence Engineering education is four years (eight semesters). In the first year, fundamental courses such as physics, mathematics, and programming are given. In subsequent years, the core courses and application-area courses of artificial intelligence engineering are included.

In addition to elective courses, the Beykoz University Artificial Intelligence Engineering undergraduate curriculum includes the following courses:

Physics and Mathematics (Calculus, Linear Algebra, Differential Equations, Probability and Statistics, Discrete Computational Structures)	Introduction to Python for AI	Introduction to AI
AI Ethics, Data Awareness and Responsibility	Object-Oriented Programming	Mathematics for Machine Learning
Data Analysis with Python	Machine Learning Applications	Data Structures, Algorithms, and Data Management for AI
Backend Development for AI Applications	Cloud Basics for AI Applications	Software Development Practices
Deep Learning Fundamentals	LLM Applications	Vector Databases Embeddings
Applied Machine Learning Projects	AI Application Security	MLOps and AI Deployment
Natural Language Processing	AI Product Development	AI Integration in Web Mobile Apps
AI Agents and Workflow Automation

The programme also includes university and department elective courses.

Common First-Year Courses Across Engineering Programmes

At Beykoz University, the first-year courses of engineering programmes are largely common, meaning they consist of similar courses. This commonality allows students to transfer horizontally at the end of the first year without losing any credits. This way, a student who is not satisfied with their initial choice at university entrance can move from their current engineering department to another engineering department without any loss.

The commonality of the first year among engineering programmes also makes it easier to pursue minor and double major studies across engineering programmes.

English

Proficiency in English is of great importance for artificial intelligence engineers, as it enables them to follow rapid developments in the field, work in international companies, and communicate with the global AI community. For this reason, the language of instruction of the Beykoz University Artificial Intelligence Engineering Programme is 100% English.

Degree and Title Awarded upon Completion of Artificial Intelligence Engineering Education

Those who successfully complete their education are awarded the Bachelor's Degree in Artificial Intelligence Engineering and the title of Artificial Intelligence Engineer.

Master's and Doctoral Studies

Graduates of Artificial Intelligence Engineering may continue their education at the master's and doctoral levels. Those who complete a master's degree receive the title of Senior Engineer. Those who complete a doctoral degree pursue careers as researchers and academics. At the master's and doctoral levels, it is possible to specialize in fields such as deep learning, natural language processing, large language models, data science, robotics, and AI security.

In Which Fields Do Artificial Intelligence Engineers Work?

The main fields of work in Artificial Intelligence Engineering include machine learning engineering, deep learning, natural language processing and large language model applications, AI product development, backend and integration development, MLOps and AI operations, and enterprise AI solution development. AI engineers also have a wide range of career options in fields such as data engineering, AI consultancy, R&D, and technology entrepreneurship.

Who Should Choose Artificial Intelligence Engineering?

Those who wish to choose this profession should be individuals who can continuously renew and develop themselves, possess strong analytical thinking skills, have strong reasoning abilities, are patient, attentive, able to be part of a team, capable of breaking down problems into solvable steps, and have ethical awareness.

Is Prior Computer Knowledge Required to Study Artificial Intelligence Engineering?

No. Having prior knowledge of programming provides a small contribution to the courses taken in the first year; it is not essential and does not provide a significant advantage.

What Is the Difference Between Artificial Intelligence Engineering and Computer Engineering / Software Engineering?

Computer Engineering is a broad field that encompasses both software and hardware; Software Engineering focuses on the software development process within this field. Artificial Intelligence Engineering, on the other hand, is a distinct engineering discipline focused on designing intelligent systems using AI methods such as machine learning, deep learning, natural language processing, and large language models, and turning these systems into real products and services.

The Future of the Artificial Intelligence Engineering Profession

Artificial Intelligence Engineering will continue to be one of the most sought-after engineering fields in the future, just as it is today. This is because large language models, autonomous systems, smart cities, driverless vehicles, and enterprise AI solutions — the technologies that will shape the future — are all at the core of artificial intelligence engineering.