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Techniques for Large-scale Data

Master's level | 7.5 credits | Course code: DIT873
Spring 2020
50% Day
Göteborg
Period: 23 March 2020 - 5 June 2020
INSTRUCTION LANGUAGE: English
2) Only EU/EEA citizens and students with approved residence permit in Sweden can apply

About the Course

The aim of this course is to deepen the students’ knowledge and skills and familiarize them with the technical and technological side of data science, including relevant data models, and software respectively hardware environments. The course will introduce aspects of designing and implementing large-scale data science solutions. 

More Information

https://studentportal.gu.se/...

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Course Syllabus

DIT873

Requirements and Selection

Requirements: To be eligible to the course, the student should have a Bachelor's degree in any subject, or have successfully completed 90 credits of studies in computer science, software engineering, or equivalent.
Specifically, at least 15 credits of successfully completed courses in programming or equivalent are required. The student also needs to have attended a course in databases of at least 7.5 credits (e.g. DIT621 Databases or DIT032 Data management). Applicants must prove knowledge of English: English 6/English B or the equivalent level of an internationally recognized test, for example TOEFL, IELTS.

Selection: Selection is based upon the number of credits from previous university studies, maximum 225 credits.

Tuition Fee

Application fee: 900 SEK
Full course cost: 17 587 SEK
First payment: 17 587 SEK

EU/EEA citizens, Swedish residence permit holders and exchange students do not pay fees. More information on: http://www.universityadmissions.se

Study Guidance

E-post: svl@cse.gu.se

Department

Department of Computer Science and Engineering
41296 Göteborg

Visiting address: Rännvägen 6 B

Page Manager: Pontus Sundén
Last update: 6/15/2018 12:12 PM

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Page Manager: Pontus Sundén|Last update: 10/16/2018
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