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ØKA2013 Big Data Analytics

    • Course code
      ØKA2013
    • Number of credits
      7,5
    • Teaching semester
      2026 Spring
    • Language of instruction
      English
    • Campus
      Lillehammer
    • Required prerequisite knowledge

      Recommended prerequisites: course in statistics

Course content
  • 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

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
Teaching and working methods

Lectures (live and video), workshops with case studies, problem solving, mandatory hand-ins.

Required coursework

Written and oral mandatory coursework. 

Assessments
Form of assessmentGrading scaleGroupingDuration of assessmentSupport materialsProportionComment
Home exam
ECTS - A-F
Individual
2 Day(s)
  • All
100

Reading list

Course name in Norwegian Nynorsk: 
Big Data Analytics
Course name in Norwegian Bokmål: 
Big Data Analytics
Faculty
Inland School of Business and Social Sciences
Department
Department of Business Administration
Area of study
Økonomisk-administrativ utdanning
Programme of study
Bachelor of Business Administration
Course level
Intermediate course, level II (200-LN)