48 monthsProgramme duration
10,440 EURTuition Fee/year
Feb, SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
The aim of the program is to equip students with foundational knowledge, technical skills and practical insight to the inter-disciplinary field of Data Science. The DS program combines theory and practice, based on three main disciplines, Computer Science, Statistics and Mathematics, and real-world application domains. It has been designed to enable graduates of the program to meet the demands of the data-driven economy of the future.
More specifically, the program aims at:
- Providing students with the technical and analytical skills required for acquiring,
- managing, analyzing, and extracting insight from data.
- Providing students with a strong mathematical and statistics foundation that will enable them to appropriately formulate models and apply optimization techniques for data analyses challenges.
- Providing students with software engineering and machine learning skills to design and
- implement scalable, reliable, and maintainable solutions for data-oriented problems.
- Enable students to assess the level of privacy and security of a technical solution to a data science problem.
- Preparing students to pursue further postgraduate education and research that require expertise in data science and analytical reasoning (such as business analytics, finance, health, bioinformatics).
- Providing students with a strong sense of social commitment, global vision and independent self-learning ability
Career Prospects
A BSc in Data Science equips students with the skills to pursue a wide range of career opportunities, such as Data Analyst, Business Intelligence, and Quantitative Analyst; Data Engineer; AI/ML Engineer; Data Consultant and Strategist; Data Protection Officer, and more. Data Scientists can work across various industries and professional fields, including:
- 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)
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
The aim of the program is to equip students with foundational knowledge, technical skills and practical insight to the inter-disciplinary field of Data Science. The DS program combines theory and practice, based on three main disciplines, Computer Science, Statistics and Mathematics, and real-world application domains. It has been designed to enable graduates of the program to meet the demands of the data-driven economy of the future.
More specifically, the program aims at:
- Providing students with the technical and analytical skills required for acquiring,
- managing, analyzing, and extracting insight from data.
- Providing students with a strong mathematical and statistics foundation that will enable them to appropriately formulate models and apply optimization techniques for data analyses challenges.
- Providing students with software engineering and machine learning skills to design and
- implement scalable, reliable, and maintainable solutions for data-oriented problems.
- Enable students to assess the level of privacy and security of a technical solution to a data science problem.
- Preparing students to pursue further postgraduate education and research that require expertise in data science and analytical reasoning (such as business analytics, finance, health, bioinformatics).
- Providing students with a strong sense of social commitment, global vision and independent self-learning ability
Career Prospects
A BSc in Data Science equips students with the skills to pursue a wide range of career opportunities, such as Data Analyst, Business Intelligence, and Quantitative Analyst; Data Engineer; AI/ML Engineer; Data Consultant and Strategist; Data Protection Officer, and more. Data Scientists can work across various industries and professional fields, including:
- 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)
Admission Requirements
Academic Admission
The minimum admission requirement for an Undergraduate (1st Cycle/Bachelor’s) Degree is a recognised High School Leaving Certificate (HSLC) or equivalent internationally recognized qualifications.
Students with a lower than 7.5/10 or 15/20 or equivalent, HSLC grade depending on the grading system of the country issuing the HSLC, are provided with extra academic guidance and monitoring during the first year of their studies.
English Language Proficiency
The list below provides the minimum English Language Requirements (ELR) for enrollment to the programme of study. Students who do not possess any of the qualifications or stipulated grades listed below and hold IELTS with 4.5 and above, are required to take UNIC’s NEPTON English Placement Test (with no charge) and will receive English Language support classes.
- IELTS – 6 and above
- Anglia Examinations – Advanced and above
- Cambridge GCE AS Level English Language – C and above
- Cambridge GCE English A Levels – C and above
- Cambridge IGCSE or GCSE English as a First language – C and above
- Cambridge IGCSE or GCSE English as a Second language – B and above
- IB English A: Literature SL & HL – 4 and above
- IB English Standard Level (SL) – 5 and above
- IB English High Level (HL) – 4 and above
- Michigan Language Assessment (also known as Proficiency of Michigan) – 650 and above
- Password Test – 6 and above
- TOEFL (IBT) – 60 and above
- Cambridge Exams (First Certificate) – 160 and above or Pass
- Cambridge Exams (Proficiency Certificate) – 180 and above or Pass
Tuition fees
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
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