Course Overview
The Data Science degree establishes capabilities across data collection, data storage, algorithm design, and statistical inference. The curriculum progresses from linear algebra and object-oriented programming to advanced machine learning, deep learning, and distributed computing frameworks. Key program milestones include hands-on data analytics projects, European credit recognition, and collaboration opportunities with research centers. Graduates secure technical roles as data analysts, machine learning engineers, data architects, business intelligence consultants, and software engineers.
General Eligibility
Entry Requirements
Admission requires a recognized High School Leaving Certificate or equivalent secondary school credential with satisfactory marks. Candidates with lower entry grades receive academic monitoring and additional support during their initial study terms.
Application Process
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Complete the online application portal registration.
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Upload high school graduation certificates and official academic transcripts.
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Submit English language test certificates.
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Provide a copy of a valid passport and reference documents.
Scholarships
The university awards academic merit scholarships and financial aid grants to local and international students based on secondary school entry performance and term grade point averages.
Part Time Work Details
Non-EU international students can work up to 20 hours per week during academic terms after completing six months of study under national visa regulations.
Language Requirement