CIT FACULTIES & DEPARTMENTS
- Faculty of Engineering
- Dean’s Welcome
- Faculty Staff
- Department of Software Engineering
- Bachelor – Software Engineering
- Bachelor – Artificial Intelligence and Data Science
- Bachelor- Computer Engineering & IT
- Master – Software Engineering
- Master – Computer Engineering & IT/ Network and Cyber-Security
- Master – Computer Engineering & IT Computer Engineering and Big Data
- Master – Computer Engineering & IT / Multimedia Design
- Department of ETE
- Faculty of Economy
- Faculty of Engineering
- Dean’s Welcome
- Faculty Staff
- Department of Software Engineering
- Bachelor – Software Engineering
- Bachelor – Artificial Intelligence and Data Science
- Bachelor- Computer Engineering & IT
- Master – Software Engineering
- Master – Computer Engineering & IT/ Network and Cyber-Security
- Master – Computer Engineering & IT Computer Engineering and Big Data
- Master – Computer Engineering & IT / Multimedia Design
- Department of ETE
- Faculty of Economy
Academics > Faculty of Engineering > Department of Software Engineering > Bachelor – Artificial Intelligence and Data Science
Bachelor - Artificial Intelligence and Data Science
The Bachelor study program in “Artificial Intelligence and Data Science” has the mission of offering a well-constructed curriculum for first-cycle students, which, in addition to providing knowledge, optimizes the knowledge-practice binomial and produces students prepared for the labor market, or to continue their studies in the second cycle, and then the third cycle.
Artificial Intelligence has already surpassed human performance in areas such as cancer detection, lip reading and speech recognition and many other areas.
Every day we hear more and more that AI has managed to be involved in processes from the simplest ones, such as applications that process and reprocess photos, to voice-to-text conversions, or vice versa, to multimedia and news delivery, or even in fields related to science, such as data processing, their analysis, detections, predictions, etc.
Knowledge is essential to modern society. Smart circuits help companies keep track of goods and manage supplies and stocks. New high-tech communication devices, such as cell phones, navigation instruments, and digital cameras, are greatly enhanced by intelligent software, and engineers have strived to make the technology as simple to use as possible and widely usable by all. age groups, knowledge levels, or distribution in different regions in almost the entire globe.
Students pursuing the Bachelor in Artificial Intelligence and Data Science will study methods to approach new challenges in these important fields. They will generate new knowledge by gathering and sorting valuable information, using mathematics, statistics, probabilities, algorithms and intelligent computer techniques. The knowledge they will gain can be used to make decisions or solve problems efficiently.
Target Skills
- Skills in analytics and technology,
- Mastering large datasets,
- Machine learning, and complex modelling,
- Statistics and probability skills,
- Optimization methods,
- Data analysis and modeling,
- Data visualization,
- Programming skills,
- Big data processing tools.
Through internships or apprenticeships, students develop meaningful professional experience, contributing to their career progression.
Program Outline
Course name | Duration | Credits | ECTS |
---|---|---|---|
Academic Reading & Writing | 15 weeks | 3 | 6 |
Introduction to Economics | 15 Weeks | 3 | 6 |
Calculus I | 15 Weeks | 3 | 6 |
Computer Applications | 15 Weeks | 3 | 6 |
Elective | 15 Weeks | 3 | 6 |
Course name | Duration | Credits | ECTS |
---|---|---|---|
Computer Science Fundamentals | 15 weeks | 3 | 6 |
Introduction to Statistics
| 15 Weeks | 3 | 6 |
Linear Algebra | 15 Weeks | 3 | 6 |
Computer Communications and Networks I | 15 Weeks | 3 | 6 |
Physics I | 15 Weeks | 3 | 6 |
Course name | Duration | Credits | ECTS |
---|---|---|---|
Fundamentals of Programming I | 15 weeks | 3 | 6 |
Algorithms and Data Structures
| 15 Weeks | 3 | 6 |
Fundamentals of Artificial Intelligence and Machine Learning | 15 Weeks | 3 | 6 |
Applied Logic and Theory of Computer Science | 15 Weeks | 3 | 6 |
Calculus II | 15 Weeks | 3 | 6 |
Course name | Duration | Credits | ECTS |
---|---|---|---|
Fundamentals of Programming II | 15 weeks | 3 | 6 |
Software Architecture and Systems | 15 Weeks | 3 | 6 |
Probability and Random Processes | 15 Weeks | 3 | 6 |
Fundamentals of Data Analytics | 15 Weeks | 3 | 6 |
Data Visualisation | 15 Weeks | 3 | 6 |
Course name | Duration | Credits | ECTS |
---|---|---|---|
Database Systems | 15 weeks | 3 | 6 |
Natural Language Processing and Deep Learning | 15 Weeks | 3 | 6 |
Artificial Intelligence and Expert Systems | 15 Weeks | 3 | 6 |
Security Engineering | 15 Weeks | 3 | 6 |
Research Methods | 15 Weeks | 3 | 6 |
Course name | Duration | Credits | ECTS |
---|---|---|---|
Large-Scale Data Analysis and Distributed Database Systems | 15 weeks | 3 | 6 |
Pattern Recognition and Image Analysis | 15 Weeks | 3 | 6 |
Elective Subject | 15 Weeks | 3 | 6 |
Internship | 4 Weeks | 3 | 6 |
Thesis | 3 | 6 |
Career Opportunities
- Data Scientist
- Data Science Manager
- Principal/Chief Data Scientist
- Data Analyst
- Data Warehouse Engineer
- Business Intelligence Developer
- Data Architect
- Computer Vision Engineer
- ML Specialist
- Python Programmer – Machine Learning
- Data Scientist – R/Statistical Modelling
- Machine Learning Engineer
- Business Analyst – Machine Learning
- Artificial Intelligence Solution
- Lead – Advanced Analytics & Artificial Intelligence
- Data Scientist (Artificial Intelligence)
- Artificial Intelligence Machine Learning Engineer
- Data Scientist – Machine Learning/AI
- Speech Expert – AI/Machine Learning
- Artificial Intelligence/ Machine Learning Lead
- AI / Deep Learning
- Business Analyst – Artificial Intelligence
Tuition Fees
3000 EURO
Admission Requirements
High School Diploma