Master of Science in Computing- Data Science
2 Years Full Time
CourseImg Computing & Technology EUR 12000
Min. Qualification :
Bachelor Degree
CampusImg
Zagreb : English
Scholarship
Specializations
  • Data Science
Fees Details
Year Name Fees Total
1st Year Tution Fee EUR 6000 6000.0
2nd Year Tution Fee EUR 6000 6000.0
Required Documents
  • Passport Copy
  • 10th Marklist
  • 12th Marklist/Equivalent
  • Degree Individual Marklists
  • Degree Consolidated Marklist
  • Degree Certificate/Provisional Certificate
  • CV
  • Statement Of Purpose
  • Proof of English Proficiency Test
Admission
Starting Date Application Deadline Status
2022-10-01 00:00:00.000 2022-08-01 00:00:00.000 Active
2023-10-01 00:00:00.000 2023-08-01 00:00:00.000 Active
Eligibility

To meet the entry requirements for master's level studies, all students must fulfill the following requirements:

  • General requirement: A successfully completed an appropriate bachelor or integrated study with a workload equivalent to that of 180 ECTS or higher
  • English language requirement: Documented proficiency in English.

click here for more info: https://www.fer.unizg.hr/en/studies/master/admission

Admission Process

Step 1 :  Application along with supporting documents will be processed on The Edu Network portal.

Step 2 :  You will usually be invited to an Admissions and Visa Interview with College staff, conducted       by Zoom .The purpose of the interview will be to provide you with advice about the visa application process.  Student will receive the admission offer either conditional or unconditional on "The Edu Netwok Portal",     according to the interview decision.  

Step 3 : After tuition fee deposit , Student can join their classes.

Syllabus

Computing programme focuses on the computer as a universal information processing machine, and methods of its application. Students will gain competencies to solve advanced engineering problems, and to conduct research and development in data science.

Profile Data Science provides knowledge in statistical modelling and machine learning for data analysis with applications in complex systems, social networks, knowledge discovery, and other data-intensive applications.

click here for more info: https://www.fer.unizg.hr/en/studies/master/computing

Description

The Computing programme is focused on the computer as a universal information-processing machine, and methods of its application in various domains.The computing field includes theory, analysis and synthesis, design and construction, application and operation of computer systems. Students will gain competencies to solve advanced engineering problems, design complex systems, act as project leaders, and conduct research and development in data science.

Duration of study programme: 2 years
ECTS points: 120
Qualification awarded: Master of Science in Computing

Data science combines computer science and statistics with the goal to solve exciting data-intensive problems in industry and science. Increasing amounts of data are collected in many areas generating a high demand for professional data scientists. Data science profile provides students with strong foundations in mathematics, statistical modelling, machine learning, and other knowledge required to work on data science applications such as analysis of massive data sets, complex systems, information and social networks, knowledge discovery, business analytics, signal processing, natural language processing, bioinformatics, computer vision, big data, deep learning, financial series analysis, and high-performance computing.

Visa

For Visa Process , Click on this Link : https://www.vfsglobal.com/en/individuals/index.html

Make sure you have all your supporting documents scanned and ready to upload.

Documents required : 
1. Certificate of citizenship/passport photocopy
2. Original Certificate of completed an appropriate bachelor or integrated study with a workload equivalent to that of 180 ECTS or higher along with an official translation into English 
3. Original Transcript of grades for all years of the previous level of education (bachelor or integrated study) along with official translations into English. 
4. Proof of knowledge of the English language.
5. Curriculum Vitae in the English language.
6. Motivation letter in the English language.

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