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Masters
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Computer Science & IT
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Computer Science and Business Technologies (MSc) - UoL
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Computer Science and Business Technologies (MSc) - UoL

University of Limassol (UoL)
LimassolCyprus
On campus
Full-time
€8,500.00total
 1190 Points
Duration
1 Year, 6 Months
Language
English

Affordable Tuition Fees

This program combines affordable tuition fees with academic excellence. Apply through Brive.

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Program Description

The Master in Computer Science and Business Technologies (MSc) covers computer science technologies that can be applied to businesses to improve productivity, address modern needs, and create new potentials.

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.

Students joining the University of Limassol, become part of the UoL family, where they can expect to receive personal attention and enjoy a friendly, supportive, and welcoming environment. Receiving personal attention right from the very beginning makes you feel at home away from home.

The University of Limassol grants several competitive scholarships based on academic criteria and subsidized tuition fees on socioeconomic criteria.

The program is nationally accredited by CYQAA and recognized by KYSATS.

Entry Requirements

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Learning Outcomes

  • IT Infrastructure Mastery: Understand core concepts of organizational IT, including databases, cloud computing, and ERP systems.
  • Information Security: Gain a deep understanding of information security principles.
  • AI for Business: Apply efficient AI methodologies to enhance decision-making.
  • Tech Impact & Ethics: Recognize the role of IT in business decisions, social responsibility, and ethical dilemmas.
  • Computing Integration: Use computing theories and programming to address business issues.
  • Data Skill Development: Hone skills in data collection, processing, analysis, and interpretation.
  • AI Application: Implement AI theories and techniques to improve decision-making.
  • Research & Critical Thinking: Strengthen critical thinking through computing research.
  • Strategic Communication: Communicate technical results and risks to management effectively.
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Curriculum

Core Courses

Foundations of Business Information Technology

Quantitative Methods & Statistical Analysis

Python Programming

Database Management and Cloud Computing

Web Application Development

Object Oriented Programming

Blockchain and Applications

Applied Artificial Intelligence & Deep Learning

Digital Transformation  of Businesses & Organizations

Algorithms and Data Structures

Mandatory Research Project

Elective Courses

Information Security Management for Business

Project Management in Information Technology

Technical Entrepreneurship

Data Mining, Visualization, and Decision Making

Applied Data Analytics, Visualization, and Forecasting
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