AI521416 - Big Data and Analysis


Lessons are not given in the academic year 2020/2021

Course content

- Introduction to Big Data Analytics (BDA)
- Data input, algorithms and presentation
- Graphics Processing Units (GPU) and Field Programmable Gate Array (FPGA) for Big Data Analysis
- Business related applications of Big Data (Export, patent and register data)

Learning outcome

Learning outcome - Knowledge
- Have knowledge about the principles and challenges in the design and development of BDA technology.
- Have knowledge of how Big Data techniques can be used in various business settings.

Learning outcome - Skills
- Be able to apply appropriate techniques in different BDA problems.
- Hands-on skills in preprocessing raw data.
- Hands-on skills in clustering data to identify meaningful patterns.
- Hands-on skills in applying relevant machine learning algorithms for prediction.

Learning outcome - General competence
- Be able to discuss and communicate the possibilities and limitations in the field of BDA.
- Understand the BDA needs of industries and business, and have foundation-level knowledge to develop a solution.

Learning methods and activities

The course consists of a combination of lectures, casework, mandatory assignments, presentations and discussions.

Compulsory assignments

  • Project Assignments

Further on evaluation

Mandatory project assignments. If a student defers the final exam until the following academic year, then he or she must complete and pass a new individual assignment.

Specific conditions

Exam registration requires that class registration is approved in the same semester. Compulsory activities from previous semester may be approved by the department.

Admission to a programme of study is required:
Economics and Business Administration (ØAMSC)
Financial Economics (MFINØK)
International Business and Marketing (860MIB)
NTNU School of Entrepreneurship (MIENTRE)

More on the course



Version: 1
Credits:  7.5 SP
Study level: Second degree level



Language of instruction: English

Location: Ålesund

Subject area(s)
  • Economics and Administration
Contact information

Department with academic responsibility
Department of International Business



  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

More on examinations at NTNU