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The aim of the program is to provide students with technical skills and practical insight to Data Science. The DS program combines theory and practice, based on three main disciplines, Computer Science, Statistics and Mathematics, and real world application... Read more
The aim of the program is to provide students with technical skills and practical insight to 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.
Provide 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.
Enabling 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.
The aim of the program is to provide students with technical skills and practical insight to Data Science. The DS program combines theory and practice, based on three main disciplines, Computer Science, Statistics and Mathematics, and real world application... Read more
The aim of the program is to provide students with technical skills and practical insight to 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.
Provide 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.
Enabling 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.
The minimum admission requirement to an undergraduate programme of study is a recognized High School Leaving Certificate (HSLC) or equivalent internationally recognized qualification(s). Students with a lower HSLC grade than 7.5/10 or 15/20 or equivalent 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, if and as needed, from UNIC’s International Gateway Centre (IGC).
TOEFL – 525 and above
Computer-based TOEFL – 193 and above
Internet-based TOEFL – 80 and above
IELTS – 6 and above
Cambridge Exams [First Certificate] – B and above
Cambridge Exams [Proficiency Certificate – C and above
GCSE English Language “O” Level – C and above
Michigan Examination of Proficiency in English (CaMLA) – Pass
Pearson PTE General – Level 3 and above
KPG (The Greek Foreign Language Examinations for the State Certificate of Language Proficiency) – Level B2 and above
Anglia – Level B2 and above
IEB Advances Programme English – Pass
Examination for the Certificate of Proficiency in English (ECPE) Michigan Language Assessment by: Cambridge Assessment English & University of Michigan – 650 average score for ALL skills and above
4 Years
Feb
Sep
Tuition fees
Domestic Students
9,240 EUR
-
International Students
9,420 EUR
-
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:
Data Science (BSc, 4 years)
University of Nicosia, Nicosia, Cyprus
48 monthsProgram duration
9,420 EURTuition Fee/year
Data Science and Artificial IntelligenceMain Subject Area
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
The aim of the program is to provide students with technical skills and practical insight to Data Science. The DS program combines theory and practice, based on three main disciplines, Computer Science, Statistics and Mathematics, and real world application...
Read more
The aim of the program is to provide students with technical skills and practical insight to 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.
- Provide 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.
- Enabling 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.
Read lessProgram overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
The aim of the program is to provide students with technical skills and practical insight to Data Science. The DS program combines theory and practice, based on three main disciplines, Computer Science, Statistics and Mathematics, and real world application...
Read more
The aim of the program is to provide students with technical skills and practical insight to 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.
- Provide 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.
- Enabling 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.
Read lessAdmission Requirements
Academic Admission
The minimum admission requirement to an undergraduate programme of study is a recognized High School Leaving Certificate (HSLC) or equivalent internationally recognized qualification(s). Students with a lower HSLC grade than 7.5/10 or 15/20 or equivalent 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, if and as needed, from UNIC’s International Gateway Centre (IGC).
Tuition fees
Domestic Students
International Students
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:
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
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