Information
Program Overview
The Master of Science (MSc) in Computer Science and Business Technologies program covers computer science technologies that can be applied to businesses to improve productivity, address modern needs, and create new potentials. Technology and digitization are increasingly entering our daily lives, society, business, economy and government. This is necessary to improve efficiency, remain functional, competitive and even safe. There is a general consensus that the use of technology in our daily lives and in our working practices whether in business or the professions will continue to increase and even accelerate.
The program combines computer science and business technologies with the development of skills in business technical management. The different aspects of the program are developed in parallel. The computer science part starts with introductory topics that provide the necessary theoretical background to comprehend modern programming languages and technologies. Some of these technologies involve databases and the cloud. Another general topic is artificial intelligence for decision making as well as the application of machine learning and deep neural networks to the analysis of big-data.
The program is nationally accredited by CYQAA and recognized by KYSATS.
Program
Program Requirements
The European Credit Transfer and Accumulation System (ECTS in short) is a tool of the European Higher Education Area for making studies and courses more transparent. It helps students to move between countries and to have their academic qualifications and study periods abroad recognized. The credits below are based on the ECTS.
To graduate, students are required to earn 90 credits as follows:
- 78 credits from taught core courses (including Research Project),
- 12 credits from taught elective courses.
CORE COURSES
Basic Functional Skills
- Foundations of Business Information Technology Credits: 6
- Quantitative Methods & Statistical Analysis Credits: 6
- Python Programming Credits: 6
- Database Management and Cloud Computing Credits: 6
- Web Application Development Credits: 6
- Object Oriented Programming Credits: 6
- Blockchain and Applications Credits: 6
- Applied Artificial Intelligence & Deep Learning Credits: 6
- Digital Transformation of Businesses & Organizations Credits: 6
- Algorithms and Data Structures Credits: 6
- Mandatory Research Project Credits: 18
ELECTIVE COURSES
- Information Security Management for Business Credits: 6
- Project Management in Information Technology Credits: 6
- Technical Entrepreneurship Credits: 6
- Data Mining, Visualization, and Decision Making Credits: 6
- Applied Data Analytics, Visualization, and Forecasting Credits: 6
