Master of Data Science
On campus learning,
Full Time,
Postgraduate Certificate / Master's Degree
The total service fee for this program:
€ 1399
Pre payment for this program:
€ 399
Due to the impossibility of foreign currency payments for users residing in Iran, if you are applying for study admission in this program, before pressing the ‘Apply NOW‘ button, contact the support through the Call button below and after To get your suitable solution, proceed to upload the required documents.
ABOUT
Studying in the Master of Data Science program at the university of Vienna:
The master’s programme in Data Science aims at providing a practically oriented and scientifically sound education in the field of modern data science. Data science is an essential driving force in today’s digital world. In almost all areas of the economy, large amounts of data are collected and generated. Recently, data-driven methods have also found their way into various parts of the natural sciences and humanities. The task of data science is to gain knowledge from ever bigger volumes of data, which represents added value for the respective area.
This requires not only the development of efficient algorithms, but also a basic understanding of the interpretability and reliability of results. A diverse and interdisciplinary competence profile is required, which particularly includes the practical handling of large amounts of data, a solid mathematical and statistical foundation as well as knowledge in the respective area of application. In addition, the rapid developments in data science raise ethical and legal questions. The master’s programme in Data Science at the University of Vienna extensively reflects all these core competencies and puts an emphasis on the interdisciplinary and heterogeneous character of Data Science, which is ensured by means of a specialisation in individual areas.
Necessary information:
Duration: 4 semesters
Degree awarded by: university of Vienna
Admission criteria: bachelor’s degree
Language of instruction: English
Tuition fee for the full program: The tuition fee for summer semester 2023 is remitted for students with Iranian citizenship.
Application fee: 0
Students’ Union fee per semester: 22.70
Currency: Euro
Type: Full-time
Format: In-person
Curriculum:
- Introduction to Machine Learning (6 ECTS)
- Statistics for Data Science (6 ECTS)
- Mathematics of Data Science (4 ECTS)
- Optimisation Methods for Data Science (4 ECTS)
- Mining Massive Data (6 ECTS)
- Visual and Exploratory Data Analysis (4 ECTS)
Career opportunity:
Graduates receive a sound and broad education in core modules, including algorithmic, mathematical and statistical foundations, the handling of large amounts of data as well as explorative data analysis. Additionally, graduates are familiarised with ethical and legal aspects.
They gain in-depth knowledge in concrete fields of application, e.g. from humanities, language processing, finance, medicine, physics, or computational science.
Thereby, they acquire the basis for a doctoral or PhD programme in Mathematics, Computer Science or Statistics/OR and practical skills which are in great demand on the labour market. For example, graduates are qualified to deal with huge volumes of data, statistically analyse complex data and develop, implement and analyse efficient algorithms for data analysis.
Application Requirements:
- have completed a bachelor/diploma programme
- Submitting a high GRE score considerably improves your chances for admission.
- At least two academic references
English language requirements:
| Language certificate | Score |
| TOEFL | 100 |
| IELTS | 8 (at least 7.5 per component) |
| Cambridge Certificate of Proficiency in English (CPE) | C |
| Cambridge Certificate in Advanced English (CAE) | A |
Deadlines and intakes:
Winter semester 2023/24:
from 10 July to 31 October 2023
Semester start: 1 October
Summer semester 2024:
from 8 January to 31 March 2024
Semester start: 1 March
FREE VISA SERVICE
One of our very suitable solutions for applicants is to provide free visa services to study in this field from a pleasant country. If you need to receive free visa services, let us know your request
Expenses (EUR)
0
Application Fee
0
Program expenses
University & General Expenses
accommodation
winter school does not provide accommodation. Also, the University of Vienna does not have its own student halls of residence. You are strongly recommended to search for accommodation as soon as possible.
After Graduation
Many questions arise when it comes to starting a career after graduation. The advisory team at Uniport, the career service of the University of Vienna, are happy to assist you with personalized consultations and workshops. A number of career events provide insight into different job profiles and the opportunity to get in touch with prospective employers.
Your chances of finding a job after graduation increase if you have already collected some work experience during your studies. Uniport, the career service of the University of Vienna, offers its own job exchange, where internships, trainee programs as well as jobs in Vienna and all of Austria are advertised.
u:start is the incorporation program for graduates. It supports academics who are considering self-employment or establishing their own company or enterprise. The training program assists graduates in developing their initial business idea into a high-quality business plan.