Statistics and Data Science
Universität LinzLinz, Austria
Fee for international students
- Intakes
- Not published
- Duration
- 4 semesters
Programme facts
- Level
- Master's
- Duration
- 4 semesters
- Language of teaching
- English
- Study mode
- Not published
- Credits
- 120 ECTS
- Intakes
- Not published
About this programme
Why are election predictions often accurate? How effective are vaccines? As a data scientist, you provide the foundation and the bottom line to be able to make fact-based, informed decisions. The four-semester Master’s degree program in Statistics and Data Science is offered entirely in English and addresses key areas of statistics and data science. Your studies include focusing on key theoretical approaches and, in cooperation with experts in other fields, you will learn how to apply academic theory to tackle and solve real-world issues. The 21 st century is rapidly becoming an age of information! Your data literacy skills and the ability to critically analyze data and information will be the key to modern society’s future success. As a program graduate with a strong background in statistics, you will be highly sought after for a wide variety of job openings and positions in different fields. As part of the Master’s degree program amounting to a total of 120 ECTS credits, students must complete courses in the subject areas of data science, mathematical statistics, recent developments in statistics and data science, statistical methods, soft skills, and free electives. Detailed information about the program structure and courses are available in the curriculum and in the course catalog. The program aims to educate students in the field of "data literacy". You will learn everything you need to know about ...the Institute for Applied Statistics (IFAS) at the JKU not only works with a number of local companies that include Hofer, Greiner, voestalpine, Pöttinger, but also
Entry requirements
Typical for this university, not this programme's own requirement.
- IELTS6 overall
Source: study-in portal / university sector norm
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