Applied Artificial Intelligence

Applied Artificial Intelligence

DURATION
6 semesters / 3 years
SCOPE
180 ECTS
OBTAINED TITLE
Doctor of Science
LOCATION
hybrid
MODE OF STUDY
part-time
START OF LECTURES
November
CLASSIFICATION
SQF 10 / EQF 8 / EOVK third level

A top-tier academic program that shapes leading experts in the field of artificial intelligence. It focuses on AI research and development and its applications in health, finance, automation, and the social sciences, with a strong emphasis on innovation, interdisciplinarity, and practical challenges.

An elite doctorate that opens the door to the most demanding careers of the future

The program encourages critical thinking, creativity, and solving complex problems, while developing skills in leading research teams, international collaboration, and effective scientific communication. It offers a unique opportunity to prepare for leading research positions in artificial intelligence and to influence the future of technology.

Fundamental principles of doctoral research in the AAI program

The AAI program is based on the following principles:

  • active scientific engagement: doctoral learning is based on collaboration, discussion, and the exchange of ideas
  • independent, research-led work: the student is the main driver and initiator of their own research work;
  • continuous writing and methodological development: progress takes place gradually, in a structured manner, and is properly documented;
  • ethical academic practice: integrity is essential in research, writing, and scientific publishing;
  • constructive communication with mentors: open and timely communication is the foundation of successful study.

Artificial intelligence is a revolution!

Course list

YEAR 1

  Course ECTS
Total for Year 1 60
SEMESTER 1
1 Foundations and research background in artificial intelligence 15
2 Methodology of scientific and research work 10
3 Individual research work I 10
4 Future trends and requirements of artificial intelligence 5
5 Strategies and management of artificial intelligence technology 5
6 Selected topics in ethics in artificial intelligence 5
7 Individual research work II 10

YEAR 2

  Course ECTS
Total for Year 2 60
SEMESTER 3
8 Doctoral seminar - preparation of the doctoral dissertation proposal 10
9 Elective course 10
10 Individual research work III 10
11 Elective course 10
12 Elective course 10
13 Development and testing of products based on artificial intelligence 10

YEAR 3

  Course ECTS
Total for Year 3 60
Total for the entire program 180
14 Preparation of a doctorate in applied artificial intelligence 60

ELECTIVE COURSES 

Health sciences and medicine  ECTS
1 Research methods and techniques in medicine
10
2 Selected topics of artificial intelligence in medicine 5
3 Artificial intelligence and signal and image processing
5
 Technology and environment
ECTS
1 Selected topics in robotics 10
2 Machine learning problems
5
3 Artificial intelligence and cybersecurity
5
Humanities and social sciences ECTS
1 Selected topics in sociophysics
10
2 Artificial intelligence and education 5
3 Artificial intelligence, regulations and policies
5
Art ECTS
1 Applied artificial intelligence in cultural heritage and archaeology
5
Additional fundamental AI fields ECTS
1 Machine learning and planning
5
2 Artificial intelligence, data and knowledge discovery
5
3 Selected topics in neuroscience and biologically inspired architectures
5
4 Distributed artificial intelligence, agent systems and supercomputing 5

Lecturers

Bratko
Prof.

Ivan Bratko

E-mail bratko@fri.uni-lj.si
Gams
Prof.

Matjaž Gams

E-mail matjaz.gams@ijs.si
Hellmuth Kramberger
Assoc. Prof.

Anja Hellmuth Kramberger

E-mail anja.hellmuth@almamater.si
Liritzis
Liritzis
Prof.

Ioannis Liritzis

E-mail ioannis.liritzis@euro-acad.eu
Marušič
Prof.

Uroš Marušič

E-mail uros.marusic@almamater.si
Mertik
Mertik
Assoc. Prof.

Matej Mertik

Head of Web and Technology Study Programs
E-mail matej.mertik@almamater.si
Tasič
Prof.

Franc Tasič

E-mail jurij.tasic@fe.uni-lj.si
Wagner
Wagner
Assoc. Prof.

Reinhard Wagner

Deputy Head of International Doctoral Study in Project Management
E-mail reinhard.wagner@almamater.si
Wielgosz
Assist. Prof.

Maciej Wielgosz

E-mail maciej.wieglosz@almamater.si

Why is the doctoral study program in Applied Artificial Intelligence at Alma Mater Europaea University the right choice?

Top-tier research experience
Access to the latest research and advanced theories of artificial intelligence. Participation in interdisciplinary research projects where innovative technologies are developed that shape the future of industry and scientific progress.

 Collaboration with leading experts
Collaboration with internationally recognized researchers, professors, and industry experts, enabling students to gain valuable experience and expand their professional network.

 High employability and career opportunities
Artificial intelligence is one of the most sought-after fields on the job market. Students have career opportunities in the development of AI solutions, research, consulting, and project management, while the knowledge acquired enables immediate application in industry.

 Global opportunities and networking
Students collaborate with research institutions, technology companies, and government organizations around the world. The program encourages active networking and the exchange of ideas with global experts, opening doors to careers at the international level.

Great ideas need courage. A bright future starts here.

Doctors of artificial intelligence are key players in many industries, where their skills and expertise open up a wide range of employment opportunities.

Academic and research institutions
In roles as researchers, lecturers, or leaders of research projects at universities, research centers, and laboratories.

Technology companies
In companies engaged in the development of artificial intelligence, machine learning, deep learning, natural language processing, and computer vision.

Financial institutions
Developing algorithms for data analysis, forecasting market trends, risks, and optimizing financial processes in banks, insurance companies, and investment firms.

Healthcare industry
Developing AI solutions for diagnosis, medical data processing, personalized medicine, robotic surgical systems, and predicting treatment outcomes.

Manufacturing and automation
Developing intelligent systems to optimize manufacturing processes, predict failures, and automate tasks in industry.

Government agencies and regulatory bodies
Participating in shaping policies, ethical guidelines, and regulations for the use of artificial intelligence in various sectors, including security, transport, and energy.

Startups and early-stage companies
Developing new AI products and services in fast-growing companies focused on innovation in the artificial intelligence industry.

Consulting and advisory firms
Advising companies on implementing AI solutions to improve business processes, optimization, and innovation.

Self-employment
Developing your own AI-based solutions or applications and establishing your own companies in this field.

DURATION
6 semesters / 3 years
SCOPE
180 ECTS
OBTAINED TITLE
Doctor of Science
LOCATION
hybrid
MODE OF STUDY
part-time
START OF LECTURES
November
CLASSIFICATION
SQF 10 / EQF 8 / EOVK third level

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