GRA 4146 Consultancy Project for Business Analytics

GRA 4146 Consultancy Project for Business Analytics

Course code: 
GRA 4146
Department: 
Accounting and Operations Management
Credits: 
18
Course coordinator: 
Pål Berthling-Hansen
Course name in Norwegian: 
Consultancy Project for Business Analytics
Product category: 
Master
Portfolio: 
MSc in Business Analytics
Semester: 
2025 Autumn
Active status: 
Active
Level of study: 
Master
Teaching language: 
English
Course type: 
One semester
Introduction

This course intends to give students a sense of how to solve a problem for a concrete company or public entity. Students will experience first-hand how to solve a concrete business problem and to make a presentation of the solution.

 

Learning outcomes - Knowledge

After having completed this course, students should be familiar with tools and knowledge to allow them to map a specific problem for a company/entity. The problems can be of national or international application. The students will also gain domain knowledge in the industry under analysis.

Learning outcomes - Skills

Students will need to identify a problem and analyse a dataset in order to apply specific statistical tools to solve the probllem. Data management skills will also be required to turn data into information and further into insight.

Through the application of previous learnt knowledge and skills, the students will experience writing a consultancy report and presenting the report to key decision makers. 

General Competence

Students learn how to evaluate a business problem from several angles and will experience firsthand the importance of reflecting on how the suggested solution will add value to the organization and/or sustainability to the public sector through the suggested solutions. The students have to be critical to any data provided and also need to critically evaluate their suggested solution.

Course content

The students will learn how to identify the correct problem, how to outline and structure this problem. Then they will be given tools to analyse the problem using common consulting tools like MECE, SCQA, Logic Trees, Decision trees, hypothesis driven solution generation, etc,..

In the presentation part, the students will learn how to structure and present a solution to a client, and also how Storytelling can be a forceful toold for conveying a suggested solution.

 

 

 

Teaching and learning activities

Students are expected to ulilise software/digital tools previously learnt in the programme.

Software tools
Software defined under the section "Teaching and learning activities".
Qualifications

All courses in the Masters programme will assume that students have fulfilled the admission requirements for the programme. In addition, courses in second, third and/or fourth semester can have specific prerequisites and will assume that students have followed normal study progression. For double degree and exchange students, please note that equivalent courses are accepted.

Disclaimer

Deviations in teaching and exams may occur if external conditions or unforeseen events call for this.

Required prerequisite knowledge

Students are expected to have completed all prior courses in the programme..

Assessments
Assessments
Exam category: 
Submission
Form of assessment: 
Portfolio Assessment PDF
Exam/hand-in semester: 
First Semester
Weight: 
100
Grouping: 
Group/Individual (1 - 3)
Duration: 
1 Semester(s)
Comment: 
A - Approximately 5 weeks into the semester, plenary feedback and Q&A on the exam assignment via Zoom
B - Approximately 8 weeks into the semester there will be a peer review process where you give feedback to each other
C - Approximately 12 weeks into the semester, there will be 1-on-1 feedback with the course coordinator via Zoom

It is expected that you are active in A, that you follow up on the assignment during B (you will also be evaluated based on the input you have given), and that you submit during C.

Exam code: 
GRA 41464
Grading scale: 
ECTS
Resit: 
Examination when next scheduled course
Type of Assessment: 
Ordinary examination
Total weight: 
100
Student workload
ActivityDurationComment
Feedback activities and counselling
36 Hour(s)
Examination
20 Hour(s)
Feedback activities and counselling
4 Hour(s)
Group work / Assignments
420 Hour(s)
Sum workload: 
480

A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore acourse of 18 ECTS credit corresponds to a workload of at least 480 hours.

Reading list