School: School of Sciences and Engineering

Data Science.

Academic year

2022-2023
Taught Language: English

Course Summary

The aim of this program is to provide the students with advanced technical skills and a scientific understanding of Data Science. Moreover, the MSc will aid students in developing research competency so they can design their own scientific methods pushing the frontiers of this new emerging field. Finally, special emphasis is given to the development of skills that are required by the relevant cutting-edge industries.

Data Science is an applied science providing innovations and disrupting multiple industries ranging from Information and Communication Technologies and Medicine, to Journalism and Finance. The University of Nicosia has developed partnerships with instructors from the industry and this will enable the development of skills that are currently required by the industry. The MSc will develop full-stack research data scientists that are able to collect requirements, innovate, design, implement and critically evaluate a data science solution.

More specifically, the program aims at:

  1. Providing students with the technical and analytical skills required for acquiring, managing, analyzing and extracting knowledge from heterogeneous data sources. Critical skills will be developed that aid students in making decisions on the appropriate data analysis pipeline. Students will be able to collect requirements, design, implement and evaluate a data science solution.
  2. Providing students with software engineering and machine learning skills to design and implement scalable, reliable and maintainable solutions for data-oriented problems.
  3. Enabling students to develop data programming skills for multiple business domains and possible challenges (Big Data, Streaming Data, Noisy Data, etc.).
  4. Enabling students to assess and provide solutions for the privacy and ethical issues that arise at the application of data science methods to many real-world problems.
  5. In collaboration with instructors from the industry, the student will be aware of the challenges that a professional comes across when moving from theory to practice and know how to overcome these challenges.
  6. Giving the opportunity to the student to work in real world problems with real data in collaboration with industrial partners. Students will gain hands-on experience with the state-of-the-art data science technologies like Deep and Reinforcement learning.
  7. Preparing students to pursue a PhD in data science or to any other field where data science skills are required (e.g. bioinformatics, computational social science, data driven journalism, etc.)
  8. Providing students with a strong sense of social commitment, global vision and independent self-learning ability.

Career Prospects

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Modules

Section A: Major Requirements
ECTS: Min.50 Max.50

Course ID Course Title ECTS Credits
COMP-501DL Research Seminars and Methodology 4
COMP-540DL Mathematics for Data Science 10
COMP-542DL Data Programming 10
COMP-543DL Managing and Visualizing Data 10
COMP-544DL Machine Learning 10
COMP-592DL Project in Data Science 6

Section B: Electives
ECTS: Min. 40 Max. 40

Course ID Course Title ECTS Credits
COMP-546DL Deep and Reinforcement Learning 10
COMP-547DL Social and Web Data Mining 10
COMP-548DL Big Data Management and Processing 10
COMP-549DL Artificial Intelligence 10
COMP-551DL Business Intelligence 10
COMP-552DL Data Privacy and Ethics 10
COMP-553DL Data Science in Bioinformatics and Medicine 10
COMP-593DL Thesis 30

Assessment Method

Course assessment usually comprises of a comprehensive final exam or a final project and continuous assessment. Continuous assessment can include amongst others, homework, projects, etc.

Letter grades are calculated based on the weight of the final exam and the continuous assessment and the actual numerical marks obtained in these two assessment components. Based on the course grades the student’s semester grade point average (GPA) and cumulative point average (CPA) are calculated.

How to apply

Students come to UNIC from around the world, blending a diverse range of academic backgrounds, experiences, interests, talents and cultural heritage.

Admission to our University is granted under different categories, depending on the student’s qualifications and educational objectives.

Our general admissions policy relies on the student’s previous academic performance, including their high school grades. The Medical School has separate admissions policies and procedures outlined on the Medical School website.

Admission Requirements

The minimum admission requirement is a recognized High School Leaving Certificate (HSLC). 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. Some programmes have higher entry requirements.

Application deadline

Students may begin their studies in September or February. Applications must reach the Office of Admissions together with all the required documents by:

Studies from Deadline
Fall Semester (September to January) Late June
Spring Semester (February to May) Late October
Summer Session (June to July) Late February
Application Deadlines for European and Local students Please call the Office of Admissions on +357 22841528

Entry requirements

Qualification requirements
  1. Completed Application Form
  2. A copy of your passport (page with your personal details and photo)
  3. Academic Records (True copy of the original)
    • For Bachelors Degree applicants: High School Leaving Certificate and mark sheet
    • For Masters Degree applicants: Bachelors Degree and transcripts
    • For Doctorate applicants: Bachelors and Masters Degree, including transcripts
  4. Two Letters of recommendation/reference from professors or employers (for Masters and Doctorate applicants only). Certain programmes have additional requirements
  5. Curriculum Vitae–CV (for Masters and Doctorate applicants only)
  6. Personal Statement (for Masters and Doctorate applicants only)
  7. Research proposal (for Doctorate applicants only)
  8. Evidence of work experience (where applicable)
  9. Portfolio (for selected programmes of study)
Additional entry requirements

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English language requirements

The table below provides the minimum English Language Requirements (ELR) for enrollment on a programme of study offered in English. 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).

English Qualification ELR Equivalent to IELTS 6
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 or IGCSE 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 Advanced 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
 
 
 

English Language Proficiency

Master students satisfy the English requirements if their first degree was taught in English. Otherwise, they would need to present a minimum TOEFL score of 550 paper-based or 213 computer-based, GCSE “O” Level or IGCSE with minimum “C”, IELTS with a score of 6.5, or a score placement at the ENGL- 100 level of UNIC’s NEPTON. The University offers English courses at various levels to help students reach the required standard for admission to a graduate programme.

The purpose of the NEPTON Test

1. The purpose of this test is to place students in the appropriate level of English in order to support their academic studies at the University. The NEPTON is not a University entrance examination; previous academic performance (e.g. School Leaving Certificate) is taken into consideration with regard to University entrance requirements.

2. The number of additional courses and corresponding course loads are given in the table below:

 
 
 
Level of English Hour of tuition/work Credits Additional course load permitted
ENGL-101 English Composition 3 6 Normal
ENGL-100 Basic Writing 3 6 Normal
BENG-100 College English 6 6 Normal
BENG-070 English Language Skills 12 4 6 credit hours
BENG-060 English for Beginners 20 2 No other credits
 
 
 

3.Students who have the following qualifications can take the test, but will not be placed below the level shown:

English Qualification ENGL-101 ENGL-100
TOEFL 550+ 513-547
Computer-based TOEFL 213+ 183-210
Internet-based TOEFL 79+ 65-78
IELTS 6.5+ 5.5-6.0
Cambridge Exams (First Certificate) Grade A or B Grade C
Cambridge Exams (Proficiency Certificate) A or B or C A or B
GCSE English Language ‘O’ Level or IGCSE A or B C
Michigan Examination of Proficiency in English (CaMLA) Pass N/A
Pearson PTE General Level 4 Level 3
KPG
(The Greek Foreign Language Examinations
for the State Certificate of Language Proficiency)
Level C1 Level B2
Anglia Proficiency or Masters Advanced
IEB Advanced Programme English Pass N/A
Examination for the Certificate of Proficiency in English (ECPE)
Michigan Language Assessment
by: Cambridge Assessment English & University of Michigan
840-1000 average score for ALL skills 650-835 average score for ALL skills
 
 
 

4.Students can take the NEPTON after they officially enroll and pay the Euro 55 application fee.

Fees and funding

Application Fees

full program tuition fees:

 

 Local / EU Students
12.060 Euro 12.060 Euro

 

Additional Fee information

OTHER FEES

ON-CAMPUS PROGRAMMES

ONLINE/DL PROGRAMMES

Application fee (one-off/nonrefundable payment)

55

55

Visa application (one-off/nonrefundable payment)

86

0

Registration fee (per semester)

26

0

Health & accident insurance (per year)

175

0

Student activities fee (per semester)

20

0

Technology fee – Internet use etc. (per semester)

15

0

International student guarantee (one-off / refundable payment)

400

0

Transcript fee (per copy)

5

5

Evaluation fee (transfer credits / ECTS)

52

52

Second exam fee (per course)

65

65

Graduation application fee

60

60

Total 

959

273

Provider information

Main Contact

46 Makedonitissas Avenue, CY-2417

Contact Person: UNIC

Phone: +35722841500