1. MSc in Business Analytics
Auke Hunneman / Pål Berthling-Hansen
Associate Deans

3. Associate Deans Auke Hunneman Pål Berthling-Hansen
Department of Marketing
Phone:
Office: C4-087
Pål Berthling-Hansen
Department of Accounting Auditing and Business Analytics
Phone:
Office: A5-009

4. Business Decision Model

5. Business Analytics Black Box mining/AI
«What questions can the data ask and answer?»
Autonomous
Analytics
Machine learning
«What can we learn from the data?»
Prescriptive
Analytics
Optimisation
«What’s the best that can happen?»
Experimental design
«What happens if we try this?»
Predictive
Analytics
Predictive modeling
«What will happen next?»
Forecasting/extrapolation
«What if these trends continue?»
Statistical analysis
«Why is this happening?»
Competitive Advantage
Descriptive
Analytics
Alerts
«What actions are needed?»
Query/drill down
«What exactly is the problem?»
Ad hoc reports
«How many, how often, where?
Standard reports
«What happened?»
Sophistication of intelligence
Davenport/Harris 2017

6. Big Data and Thick Data
“There are many reasons for Nokia’s downfall, but one of the biggest reasons that I witnessed in person was that the company over-relied on numbers. They put a higher value on quantitative data, they didn’t know how to handle data that wasn’t easily measurable, and that didn’t show up in existing reports.”
Tricia Wang 2016
Case of Lego
Beware of Quant Bias or Quant Addiction
Big Data in many cases needs to be supported with Thick Data
Thick Data (Emotion, Context, Meaning,..)
Etnography – peoples way of living, culture
We need our students to reflect and improve the use of big data or analytics by seeing the whole picture of decision making.

7. Master of Science in Business Analytics
Maths & Statistics
Substantive knowledge
Programming
Business Analytics

8. Target Groups
A successfully completed Bachelor’s degree (180 ECTS credits) in the field of business administration, finance or economics
A successfully completed Bachelor’s degree with a specialisation (minimum 80 ECTS credits) in one of the following, provided that the combination of courses gives a good foundation for further studies within Business Analytics: Engineering, Mathematics or Calculus, Statistics or Econometrics, Computing and/or programming, Logistics, Quantitative Marketing, Business intelligence, Quantitative Accounting.

9. Idea 1st year 2nd year Prep courses
External delivery/strategic partner
1st year
2nd year
Prep courses

10. Admission Requirements
We follow the general MSc requirements: GPA of 3.5 or higher, GMAT of 600 or higher, and TOEFL of 90 or higher.
In addition to the admission requirements for all MSc degree programmes, applicants to the MSc in Business Analytics require:
a minimum grade of B in courses of particular relevance to the MSc BA.
courses include mathematics, statistics, economics, and research methods

11. Basic Decision Model – 1st year

12. Curriculum – yellow indicates application
Foundation courses
Business and Accounting
(Online delivery)
Statistics
Excel
Semester 1
Semester 2
Semester 3
option 1
option 2
Semester 4
GRA XXX1
Data Management and Business Intelligence
(6 ETCS)
GRA XXX5
Data Protection and Ethics in the Modern Business Environment
(6 ECTS)
GRA 1970
Thesis (6 ECTS)
GRA XX10
Big Data and Social Media Analytics
Online delivery
GRA 1970 Master Thesis
(24 ECTS)
GRA XXX2
Decision Theory
and System Dynamics
GRA XXX6
Business Simulation Analysis
Exchange
GRA XXX3
Statistics with programming in R
GRA XXX7
Visualization and Network Theory
GRA XX11
Internship
(18 ECTS) or
Consultancy Project
GRA XX11 Research Assistant
GRA 6227
Business Optimization
GRA XXX8
Applications in Analytics 1
GRA XXX4
Predictive Analytics and Machine Learning
GRA XXX9
Applications in Analytics 2
GRA XX12
Value-Added Analytics
Online Delivery

13. Software skills
Concrete software packages academic staff have indicated will be used to a smaller/larger extent:
Excel
Anylogic
ExtendSim,
@risk, R,
Python
Tableau
Database Software (SQL,..)
GIS
ESRI
Vensim.

14. Competitive Position
Most other schools offer a similar 1-year program, we offer a two year programme.
Our program offers the opportunity to specialize in a functional area (marketing, finance, accounting, etc.) AND to do an applied project (through e.g. an internship). This combination is unique!
In order to still be attractive to foreign students: The second year can be delivered «off-campus», so that these students can save (living) expenses.

15. Jobs for Graduates

16. Process June 2017 July-Sep 2017 Oct 2017 Dec 2017 Des-Jan 2018
Feb 2018
March 2018
August 2018
Study Group
Mandate
Program Seminar
Design Programme
Advisory Board
Program Seminar
Start Marketing
Final Course Revision
Start 1st Cohort