Program Overview

Program Overview

The Technologie Kandidatexamen in Computer Technology, with a focus on Applied Artificial Intelligence, is a 180-credit program at the undergraduate level. This program is designed to provide students with a comprehensive education in the field of data technology, with a special emphasis on applied artificial intelligence.

Program Structure

The program consists of several modules, each focusing on a specific area of study:

• Computer Science (37.5 credits)
  • Algorithms and data structures (7.5 credits)
  • Machine learning and master recognition (7.5 credits)
  • Object-oriented programming and design (7.5 credits)
  • Introduction to AI (7.5 credits)
  • Introduction to programming (7.5 credits)
• Computer technology (30 credits)
  • Applied AI, knowledge management and reasoning (7.5 credits)
  • Degree project in applied artificial intelligence, candidate (15 credits)
  • Computer and business department (7.5 credits)
• Mathematics (30 credits)
  • Discrete mathematics (7.5 credits)
  • Linear algebra and differential equations (7.5 credits)
  • Linear algebra and integral calculus (7.5 credits)
  • Differential calculus (7.5 credits)
• Signal processing (7.5 credits)
  • Signals and systems (7.5 credits)
• Control technology (7.5 credits)
  • Modeling and regulation (7.5 credits)
• Mathematical statistics (7.5 credits)
  • Probability law and statistics (7.5 credits)

Program Details

This program is designed for students who wish to pursue a career in the field of data technology, with a focus on applied artificial intelligence. The program provides a comprehensive education in the technical aspects of data technology, as well as the theoretical foundations of artificial intelligence. Students who complete this program will be well-prepared for a career in the tech industry, or for further study at the graduate level.

Admission Requirements

Admission to this program requires a strong foundation in mathematics and computer science. Students must meet the admission requirements set by the university, which include a high school diploma or equivalent, and a minimum grade point average. Additional requirements may include proficiency in English, as well as completion of specific coursework in mathematics and computer science.

Research Areas

The program is closely tied to the research areas of the university, which include artificial intelligence, data science, and cybersecurity. Students in the program will have the opportunity to engage with faculty members who are actively involved in research in these areas, and to participate in research projects and internships.

Career Opportunities

Graduates of this program will be well-prepared for a career in the tech industry, with opportunities in areas such as software development, data analysis, and artificial intelligence. The program also provides a strong foundation for further study at the graduate level, leading to careers in research and academia.