Emnebeskrivelse MB110

Data Management is an essential and critical process with organizations. This course will provide students with an introduction to data management techniques, data warehousing and business intelligence. Students will gain advanced knowledge of key theories and concepts of data management processes, data collection, sharing and storage, data documentation, data compliance, data preservation, and an overview of the open data requirements. They will acquire specialized problem-solving skills, being able to analyze and prepare data management plans.

Knowledge

The student ...

• understands and has knowledge of the most important concepts of data management
• has thorough knowledge of the benefits and challenges of data processing, data storage and data retrieval using relational database structure and structured query language

Skills

The student ...

• can critically analyze the organizational, technological, and legal challenges connected to data management in an organisation

• can compare the standard data formats for data sharing across software platforms

• can demonstrate data fetch from online data sharing WEB apis

• is able to execute a simple data management plan and understanding for relational database structure and structured query language

General competence

The student ...

• is able to reflect and assess on different data storage possibilities available for business data

• is able to critically assess the business value from the data management solutions

• is able to describe an understanding of complete end to end business data analysis process

Master of Science in Information Systems: Business Analytics

Elective for the following programs:

Master in Cyber Security

Master in Human-Computer Interaction

Master of Science in Information Systems: Digital Business Systems

Master of Science in Information Systems: Digital Marketing

Master of Science in Information Systems: Management and Innovation

The course is structured in block mode for four weeks. The three two weeks will be a combination of lectures, working with tools and presentations in class. The last week is for self-study and essay writing.

Lectures and student guidance - 36 hours

Self-study - 76 hours

Preparation for presentation / discussion in class - 10 hours

Exercise - 28 hours

Assessment - 50 hours

Recommended use of time in total - 200 hours

Updated information on textbooks and other teaching materials is published per program on our online learning platform before the semester starts. Information is also available per application on our website. In addition to literature and other teaching material, scheduled teaching and other scheduled learning activities are always part of the syllabus.

Verifiable coursework requirements: one or more assignments that must be collectively approved

Individual qualification: G/IG (approved/not approved)

Execution: individual

Verifiable (right of appeal): yes

Coursework requirements are to be handed in or conducted in accordance with information given by the lecturer and carried out within the duration of the course, as well as registered as approved/not approved at least two weeks before the exam/exam period.

Approved coursework requirements grant students permission to take exams. Unapproved coursework requirements result in the student’s withdrawal from the exam.

Exam: Individual written home examination

Duration: 3 weeks

Grading scale: The Norwegian grading system uses the graded scale A - F, where A is the best grade, E is the lowest pass grade and F is fail

Weighting: 100 % of the overall grade

Support materials: All support materials are allowed

Re-sit coursework requirements: submit one or more assignments

Re-sit exam: 2-week individual written home examination with a new assignment

Prior experience or coursework in programming, statistics, or business analytics is recommended.