Administrator
Level
Bachelor
Topics
Social Sciences / Economics
Language
English
Delivery method
In person
University
University of Inland Norway
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Big Data Analytics

This course will provide knowledge about what big data sets are based on the most commonly used definitions, describing how big data can be transformed into business value, how various techniques for analyzing big data sets work in practice, and more.

This is a 6th-semester course of the 6-semester Bachelor's Degree in Business Administration (Norwegian degree). This course has unlimited spots for exchange students.

Written and oral mandatory coursework must be passed to be allowed to take the exam. Graded A-F, where E is the minimum for passing the exam.

Course content includes:

  • Definitions of big data analytics
  • Application areas of big data analytics
  • Business value of big data (value chain)
  • Databases for big data analytics
  • Data mining and data analytics
  • Data visualization
  • Big data architectures
  • Case studies: Application of relevant software to solve real life, big data business problems

Recommended:

  • Students should have completed a course in statistics.

Mandatory:

The course is available only to exchange students from our partner institutions. Contact your home institution's International Office or department to determine your eligibility for exchange studies at the University of Inland Norway.

Learning outcome

Upon passing the course, students have achieved the following learning outcomes:

Knowledge

The student:

  • can define what big data sets are based on the most commonly used definitions
  • can refer to various application areas of big data analytics
  • can describe how big data can be transformed into business value
  • can present the architecture of big data
  • can explain (in own words) how various techniques for analyzing big data sets work in practice  
  • can explain important issues related to privacy and ethical issues in the use of big data
Skills

The student:

  • can structure the process of performing big data analytics
  • can apply basic techniques for gathering, storing, distributing, and processing big data sets
  • can analyze relevant big data sets using appropriate analytical frameworks and software from various industries/areas including (but not limited to):
    • Accounting
    • Asset pricing / Trading / Banking
    • Entertainment industry
    • Sales
    • Etc.
General competence

The student:

  • can take part in the planning and implementation of big data projects

Free for excahange students.