MSc in Computer Science and Business Technologies
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.
MSc in Computer Science and Business Technologies Program includes:
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The program is nationally accredited by CYQAA and recognized by KYSATS.
Admissions Requirements
- Bachelor’s degree and transcripts from an accredited program. In terms of GPA, we expect 2:2 and above from UK schools, 3.0 and above from US schools, and 6.5 and above or the equivalent from Cypriot and Greek Universities and colleges. Candidates with a lower grade than the above, might be admitted if they have compensatory strengths in terms of work experience or other accomplishments (for example, CFA, ACCA, or ACA).
- Native speaker of English or graduate of a high school or university where the language of instruction is English, or IELTS with a score of at least 5.5, or TOEFL with a score of at least 250 (computerized) or 550 (conventional), or Password-plus 5.5.
- Satisfactory quantitative skills as evidenced by the quantitative courses they have taken during their Bachelor’s degree study. The major can be in science, engineering, economics, management, biomedical sciences, and even law and business.
- A personal interview is an integral part of the selection process. The interview and documents providing evidence of the above qualifications are used as the basis for evaluating candidates. In cases where applicants have graduated from unfamiliar programs or universities, a GRE/GMAT examination score may be required.
- Knowledge of English language. Click here to learn more.
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.
Program Learning Outcomes
- Identify the basic concepts that underpin today’s organizational IT infrastructures like concepts of databases, information systems, operations and processes, cloud computing, data warehousing and enterprise resource planning.
- Demonstrate understanding of information security concepts.
- Efficient artificial intelligence methodology and tools.
- Demonstrate understanding of the value of information technologies in improving business decisions, as well as social responsibilities and ethical dilemmas associated with their application and techniques to mitigate these concerns.
- Integrate concepts and theories behind computing and especially programming in order to solve real-world business problems.
- Develop skills for collection, processing, analysis and interpretation of data.
- Apply computing and more specifically artificial intelligence theories and techniques to enhance development and decision-making capabilities.
- Develop critical thinking skills by conducting research in the areas of computing.
- Effectively communicate to top management the results and implications arising from computing, data analytics, security risk assessments, and emerging technologies.
Core Courses
- BI395 – Foundations of Business Information Technology
Contact Hours: 28 Credits: 6 - BI430 – Quantitative Methods & Statistical Analysis
Contact Hours: 28 Credits: 6 - BI420 – Python Programming
Contact Hours: 28 Credits: 6 - BI405 – Database Management and Cloud Computing
Contact Hours: 28 Credits: 6 - AT200 – Web Application Development
Contact Hours: 28 Credits: 6 - AT300 – Object Oriented Programming
Contact Hours: 28 Credits: 6 - AT400 – Blockchain and Applications
Contact Hours: 28 Credits: 6 - AT500 – Applied Artificial Intelligence & Deep Learning
Contact Hours: 28 Credits: 6 - AT600 – Digital Transformation of Businesses & Organizations
Contact Hours: 28 Credits: 6 - AT700 – Algorithms and Data Structures
Contact Hours: 28 Credits: 6 - AT1000 – Mandatory Research Project
Contact Hours: – Credits: 18
Elective Courses
- BI425 – Information Security Management for Business
Contact Hours: 28 Credits: 6 - AT800 – Project Management in Information Technology
Contact Hours: 28 Credits: 6 - AT900 – Technical Entrepreneurship
Contact Hours: 28 Credits: 6 - BI410 – Data Mining, Visualization, and Decision Making
Contact Hours: 28 Credits: 6 - BI510 – Applied Data Analytics, Visualization, and Forecasting
Contact Hours: 28 Credits: 6
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English (UK) 
Ελληνικά 
