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Duration
4 Years
Language
English
Program Description
The Bachelor in Computer Science (BSc) aims to provide students with a solid foundation in the field of computer science while preparing them to excel as professionals in an AI-driven era.
The program has been designed around a core of computer technology foundations and principles, problem-solving and algorithmic thinking, systematic program development and testing, and modern approaches to systems analysis and software design. The curriculum is enriched with specialized topics on cutting-edge technologies, including, machine learning, big data, cloud computing, generative AI, ethical hacking and network defense, and IoT, ensuring that students gain the skills and knowledge required to design and develop complex, intelligent software systems. Emphasis is placed on applying these modern technologies to create innovative, scalable, and ethical solutions that address the evolving needs of a highly connected society.
The program has been designed around a core of computer technology foundations and principles, problem-solving and algorithmic thinking, systematic program development and testing, and modern approaches to systems analysis and software design. The curriculum is enriched with specialized topics on cutting-edge technologies, including, machine learning, big data, cloud computing, generative AI, ethical hacking and network defense, and IoT, ensuring that students gain the skills and knowledge required to design and develop complex, intelligent software systems. Emphasis is placed on applying these modern technologies to create innovative, scalable, and ethical solutions that address the evolving needs of a highly connected society.
Entry Requirements
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Learning Outcomes
Upon successful completion of this program, the students should be able to:
- Apply theory and methodologies of several data science-oriented topics in mathematics, statistics and computing to solve problems in real-world contexts.
- Apply contemporary computing technologies, such as machine learning and data mining, artificial intelligence (AI), parallel and distributed computing, to solve practical problems characterized by big data.
- Implement algorithms for fundamental data science tasks such as machine learning and data mining, data wrangling, statistical inference etc., using high-level languages suitable for data science (e.g. Python, R, GenAI).
- Apply data management to clean, transform and query data.
- Select and apply suitable machine learning algorithms and software tools to perform data analysis.
- Perform data visualization and apply inference procedures to analyze data and interpret and communicate results.
- Assess the data privacy and security issues raised during the various stages data management.
- Demonstrate professional and ethical responsibility in data ownership, security and sensitivity of data.
- Communicate technical ideas effectively through both oral presentations and written reports.
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Curriculum
Jobs - Careers
- Technology & IT (Big Tech, Startups, Software Companies)
- Finance & FinTech (Banks, Investment Firms, Financial Technology)
- Healthcare & Biomedicine (Bioinformatics, Pharmaceutical Companies, Hospitals)
- Industry & Energy (IoT, Smart Grids, Manufacturing)
- Retail & Marketing (E-commerce, Digital Marketing, Customer Analytics)
- Public Sector & Policy Analysis (Data-Driven Policy Making, AI in Government Services)
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