The major broadly covers the following areas:

• Programming skills for data handling and problem solving in business.
• Data analysis. Statistical learning and predictive analytics for learning and extrapolating from data.
• Business modelling and prescriptive analytics. Using optimisation models and simulations for decision support, analysis and improving business processes.

Upon successful completion of the major, the candidates shall

Knowledge

K1: Have a solid knowledge about relevant methods from statistics and operations research

K2: Have in-depth and up-to-date knowledge on how to use data to support decision making in business

K3: Understand business analytics articles published in international scientific journals and formulate relevant research questions

Skills

S1: Build and solve decision models for real-world business problems

S2: Bring together decision modelling and data analysis for practical business applications

S3: Be proficient in computer programming in order to write code for business analytics problems and to communicate well with software developers

General competence

G1: Solve business analytics problems in teams with people from different backgrounds

G2: Reflect on the ethical challenges specific to business analytics

G3: Contribute innovative solutions for business analytics problems and communicate them to executives and other stakeholders

The compulsory courses provide you with knowledge and skills about the following core areas:

1. Programming (7.5 ECTS). Either BAN400, Programming for Data Science or BAN401 (not given in the fall of 2022). We strongly recommend that you take one of these courses in the first semester. The skills are needed in later courses.
2. Predictive analytics (7.5 ECTS). BAN404

3. Business modelling and prescriptive analytics (15 ECTS). You will learn how to use optimization models for decision support (BAN402) and how to use simulation to analyze and improve business processes (BAN403).

The remaining 15 ECTS of the major must be chosen from the list of electives.

Course list

The list of electives can broadly be divided into two categories. Methodological courses focus on analytical methods, although the methods are often illustrated and applied in specific business contexts. Application-oriented courses focus on understanding how value is created in businesses and how analytics can provide better decisions.  

Methods

• BAN400 R Programming for Data Science
• BAN401 Applied programming and data analysis for business 
• FIE453 Big Data with Applications to Finance 
• BAN420 (2.5 ECTS) Introduction to R 
• BAN430 Forecasting
• BAN423 (2.5 ECTS) Benchmarking with DEA, SFA and R
• BAN426 (2.5 ECTS) Applied Data Science 
• BAN432 (FIE452) Applied Textual Data Analysis for Business and Finance
• ECO401 Optimisation and Microeconomic theory 
• ECN430 Empirical Methods and Applications in Macroeconomics and Finance
• STR459 Artificial Intelligence and Robotics (N)

Business applications

• BAN424 (2.5 ECTS) Applications of Business Analytics
• BAN425 (2.5 ECTS) Applied Risk Management 
• BAN427 (2.5 ECTS) Insurance Analytics 
• BAN433 (2.5 ECTS) Applied Cloud Computing for Enterprises
• BAN435 (2.5 ECTS) Blockchain Technology and Cryptocurrencies
• BUS403 Supply Chain Management 
• BUS427 Advanced Management Accounting 
• BUS429 Pricing Analytics and Revenue Management 
• BUS432 Operasjonell planlegging/Operations management 
• BUS460 Operational Risk Management
• ECN431 Applied Data Analysis of Firm Strategy and Competition 
• MRR453 Digital Auditing
• BUS401 Strategiske lønnsomhetsanalyser og prising 
• STR453 Digitalization (N)
• BUS465 Corporate Crime: Detection and Prevention

The compulsory courses cover this requirement.

All ethics courses approved by NHH are allowed.

Read more about ethics courses

This major is suitable for those seeking jobs as analysts, either in companies or as consultants, and in general to all those seeking to complement their business background with analytical skills to succeed in the modern data-driven environment. A thorough understanding of business analytics will also enable you to communicate with technological experts and be useful for digital strategy managers.

Read more about career possibilities for NHH graduates