
What is the Artificial Intelligence and Machine Learning Department? What do its graduates do?

What Is Artificial Intelligence and Machine Learning? How Do You Become an Artificial Intelligence and Machine Learning Specialist?
The fact that ChatGPT can answer your questions in seconds, Netflix recommends shows you might enjoy, or your smartphone unlocks by recognizing your face is no coincidence. Behind these technologies are artificial intelligence and machine learning systems. As one of the fastest-growing fields of recent years, artificial intelligence is transforming not only the technology sector but also industries such as healthcare, finance, education, manufacturing, and marketing.
The Artificial Intelligence and Machine Learning program is a next-generation field of study designed for students who want to be at the center of this transformation. In this article, we will explore what the Artificial Intelligence and Machine Learning program is, the courses it includes, career opportunities in the field, and the journey to becoming an Artificial Intelligence and Machine Learning Specialist.
What Is Artificial Intelligence and Machine Learning?
Artificial Intelligence (AI) is a field of technology that aims to enable computers to develop human-like capabilities such as thinking, learning, and decision-making. Machine Learning (ML) is a subfield of AI that allows systems to learn from data and improve their performance over time.
The Artificial Intelligence and Machine Learning program provides students with education in algorithms, data analysis, programming, deep learning, and AI system development.
The goal of this field is not only to develop software but also to design intelligent systems capable of extracting insights from data and making decisions.
How Long Is an Artificial Intelligence and Machine Learning Degree Program?
The Artificial Intelligence and Machine Learning program is typically offered as a four-year undergraduate degree within engineering or computer science faculties.
During their studies, students work on both theoretical computer science concepts and practical AI projects.
Some universities may also offer a preparatory language program, which can extend the total duration of study to five years.
What Courses Are Included in Artificial Intelligence and Machine Learning?
Course content may vary by university, but most Artificial Intelligence and Machine Learning programs cover the following subjects:
- Fundamentals of Programming
- Python Programming
- Data Structures and Algorithms
- Mathematics
- Linear Algebra
- Probability and Statistics
- Data Science
- Machine Learning
- Deep Learning
- Natural Language Processing (NLP)
- Computer Vision
- Artificial Neural Networks
- Big Data Technologies
- Data Mining
- Cloud Technologies
- AI Ethics
Hands-on projects and real-world datasets play a key role in preparing students for industry challenges.
What Are the Admission Scores for Artificial Intelligence and Machine Learning?
Admission scores and rankings for Artificial Intelligence and Machine Learning programs may vary each year.
As the popularity of the field continues to grow, competition for admission is also increasing. Admission requirements are influenced by factors such as:
- University quotas
- Demand for the program
- National university entrance exam results
- Academic reputation of the university
Students should review the latest admission guides and official university resources during the application process.
What Should You Consider When Choosing an Artificial Intelligence and Machine Learning Program in 2025?
Since AI is a rapidly evolving field, students should evaluate not only the university itself but also the opportunities offered by the program.
Important factors to consider include:
- Academic staff expertise
- AI laboratories and research facilities
- Research projects
- Industry partnerships
- Internship opportunities
- International exchange programs
- Alumni career achievements
- Cloud computing and high-performance computing infrastructure
These factors can significantly contribute to a stronger career start after graduation.
What Do Artificial Intelligence and Machine Learning Specialists Study and Specialize In?
AI and Machine Learning professionals can specialize in various fields throughout their careers.
Some common specialization areas include:
- Machine Learning
- Deep Learning
- Natural Language Processing
- Computer Vision
- Data Science
- Generative AI
- Robotics Systems
- Recommendation Systems
- Big Data Analytics
- AI Security
In particular, Generative AI technologies and Large Language Models (LLMs) have emerged as some of the fastest-growing areas of expertise in recent years.
Universities Offering Artificial Intelligence and Machine Learning Programs in Türkiye
The number of AI-focused undergraduate programs in Türkiye has increased significantly in recent years.
Some universities that offer AI-related programs or specialized AI degrees include:
- Hacettepe University
- Istanbul Technical University
- Ankara University
- Bahçeşehir University
- TOBB University of Economics and Technology
- Istanbul University-Cerrahpaşa
- Bursa Technical University
Since program names and curricula may vary by institution, students should verify the latest information during the university selection process.
How Do You Become an Artificial Intelligence and Machine Learning Specialist?
Becoming an Artificial Intelligence and Machine Learning Specialist requires more than just a university degree. Continuous learning and project development are essential parts of building a successful career in this field.
The following steps can help throughout your career journey:
- Learn Python
- Develop data analysis skills
- Study machine learning algorithms
- Contribute to open-source projects
- Participate in competitions on platforms such as Kaggle
- Build AI projects
- Follow technical resources in English
- Gain knowledge of cloud technologies
In many cases, industry experience and a strong project portfolio can be just as valuable as a degree.
What Does an Artificial Intelligence and Machine Learning Specialist Do?
One of the most frequently asked questions is: "What does an Artificial Intelligence and Machine Learning Specialist do?"
Typical responsibilities may include:
- Developing AI models
- Analyzing datasets
- Designing machine learning algorithms
- Building predictive systems
- Developing natural language processing applications
- Creating computer vision solutions
- Optimizing model performance
- Contributing to big data projects
- Integrating AI solutions into business processes
Responsibilities may vary depending on the industry and role.
Career Opportunities and Challenges in Artificial Intelligence and Machine Learning
Career opportunities in AI and Machine Learning are extensive and continue to expand.
Professionals in this field can work in:
- Technology companies
- Fintech startups
- E-commerce platforms
- Healthcare technology companies
- Telecommunications organizations
- Defense industry companies
- Game development studios
- Consulting firms
However, the field also comes with challenges. Technologies evolve rapidly, requiring continuous learning and adaptation. Strong mathematical thinking, data analysis skills, and problem-solving abilities are essential for success.
Despite these challenges, AI and Machine Learning are widely regarded as some of the most promising and in-demand career fields of the future.
How Much Does an Artificial Intelligence and Machine Learning Specialist Earn?
It is difficult to provide a fixed salary figure for AI and Machine Learning professionals because earnings vary based on numerous factors.
These include:
- Level of experience
- Area of specialization
- Industry sector
- Company size
- Technical competencies
- Project experience
- Geographic location
Naturally, a newly graduated professional and an experienced specialist with ten years of expertise will have different earning levels. Likewise, an AI professional working on international projects may earn differently from someone at the beginning of their career.
For this reason, career planning should focus not only on salary expectations but also on technical growth, project experience, and specialization opportunities.
Artificial intelligence is no longer just a technology of the future—it is one of the most transformative forces shaping the world today. The Artificial Intelligence and Machine Learning program offers exciting opportunities for students who enjoy data-driven thinking, solving complex problems, and pushing the boundaries of technology.
From healthcare and finance to education and manufacturing, AI continues to expand its impact across industries and is expected to remain one of the most sought-after fields in the years ahead. If you want to do more than simply use technology—if you want to build it and contribute to the systems shaping the future—this program could be a powerful starting point for your career.
Ready to take the first step in your Artificial Intelligence and Machine Learning career journey? Explore the latest Artificial Intelligence and Machine Learning Specialist job opportunities on Techcareer.net and start shaping your future today!



