Master of Science

Business Analytics

This master’s programme is future-oriented and offers a set of knowledge and skills that blends data science with business subjects. Candidates who can combine highly advanced analytical skills with business and management skills are in high demand by employers today.

Why study Business Analytics?

The survival and performance of any business depends on the choices that are made. Business analytics plays an essential role in providing the tools to make the right decisions and strategies needed to survive in a competitive market and grow profitably. In a world of Big Data, analytics has become a strategic necessity in virtually all areas of business. Analytics now permeates business sectors from marketing to accounting, sales to logistics, and HR to operations. No industry or market is unaffected by Big Data, so the need for business analytics is universal.

What will you learn?

To make the best decisions, businesses need to master both business and analytics. Through the Master of Science programme in Business Analytics, you will develop the analytical knowledge and skills within an applied business context. Analytics is a means to an end: to achieve greater business value through superior insight. Consequently, you will learn to conduct descriptive, predictive and prescriptive analyses to support and make business decisions. You will develop knowledge and skills through close collaboration with international industry partners and academic institutions. The programme actively utilises team projects so you will acquire and improve your analytical, communication and collaborative skills.

Among the topics, you will find:

  • Decision Theory: Learn about biases in decisions, risk, uncertainty, and game theory.
  • Data Management: Identify and import data, and learn basic programming.
  • Econometrics with Big Data Applications: Learn forecasting and prediction models, causal inference, and machine learning.

Programme Structure

The MSc in Business Analytics programme is a two-year, 120-ECTS-credit programme consisting of 90 course credits and 30 MSc thesis credits. Students have two options to choose from for the Autumn semester of the second year which are outlined below.

  • Year 1

    Autumn

    • Data Management and Business Intelligence (6 ECTS)
    • Decision Theory and System Dynamics (6 ECTS)
    • Statistics with Programming in R (6 ECTS)
    • Business Optimization (6 ECTS)
    • Predictive Analytics and Machine Learning (6 ECTS)
  • Spring

    • Data Protection and Ethics in the Modern Business Environment (6 ECTS)
    • Business Simulation Analysis (6 ECTS)
    • Visualization and Network Theory (6 ECTS)
    • Applications in Analytics 1 (6 ECTS)
    • Applications in Analytics 2 (6 ECTS)

Year 2 - Option 1

Students may choose Option 1 and go on exchange for the Autumn semester. 

Programme Structure

  • Year 2

    Autumn

    • Master Thesis (6 ECTS)
    • Exchange (24 credits)
  • Spring

    • Master Thesis (24 credits)
    • Value-Added Analytics Online Delivery (6 ECTS)

Year 2 - Option 2

Students may choose Option 2 below instead of going on exchange.

Programme Structure

  • Year 2

    Autumn

    • Master Thesis (6 ECTS)
    • Big Data and Social Media Analytics (6 ETCS)
    • Internship (18 ECTS) or Consultancy Project (18 ECTS) or Research Assistance (18 ECTS)
  • Spring

    • Master Thesis (24 credits)
    • Value-Added Analytics Online Delivery (6 ECTS)

Customise your degree

Gain an advantage in the job market by tailoring your degree. As a Master of Science in Business Analytics student, you can choose either an internship to obtain relevant work experience, or add an international dimension to your degree by going on exchange.

Internship

Gain practical work experience with a leading company as an integrated part of your degree.

Exchange

Why you should spend a semester abroad and where you can go.

BI Possibilities

Explore the careers of our alumni with a Master of Science degree.

Click on the profiles to learn more!

 

possibilities.bi.edu

Profile

Andra Vasilescu

Risk Management Analyst, Statoil

Profile

Nick Edward

Business Analyst, Wilhelmsen Ships Service

Profile

Yana Antonenko

E-Commerce Data Analyst, Devex

Admission

How to apply

Practical information

The Master of Science in Business Analytics is a new programme in development to begin in August of 2018. Details and descriptions are subject to change.  

Useful links:

Apply now