The overall learning objective of the course is to give the students insight into both how business may benefit from data analytics, including advanced analytics and machine learning, as well as a hands-on knowledge on how to implement data analytics in practice.
Business students focus more on the business value whereas information technology students have the focus closer to the technical implementation.
Upon successful completion of the course, the student:
• knows the concepts of artificial intelligence and machine learning and how they are related to each other
• understands the concept of business analytics and how it can be applied to bring value to business
• knows the concept of big data and how it differs from traditional data sets
• is able to identify new data sources and collect data from them. These include sources consisting of both company internal and external data. Such sources may be data warehouses, public open data, un- and semistructured data (social media data, log data) and IoT data.
• knows some tools and methods for taking advantage of business analytics in product development and management
• is capable of planning and implementing a business analytics project

The student may focus on the business aspects or on the technical aspects of business analytics. The former approach does not require programming skills but for the latter approach, basic programming skills are required. Skills and interest in a logical and systematic way of working are required.

It is beneficial if the student has completed courses on research and development methods, quantitative research, statistics, digital marketing and business intelligence

- Concepts and terminology of business analytics, artificial intelligence and machine learning
- Business opportunities and use cases of business analytics, artificial intelligence and machine learning
- Concepts and methods for both descriptive and predictive analytics
- Methods and algorithms for machine learning
- Software tools for advanced business analytics and machine learning
- The contents may evolve during the implementation.

The student understands the basic concepts of business analytics. S/he knows how business analytics can be used to create value for business. S/he can name related software tools and knows at an abstract level how they could be used.

The student has a good understanding of business analytics and its application for creating value for business. S/he knows related software tools and can use them in practice.

The student has an excellent understanding of business analytics and its application in creating value for business. S/he knows related software tools and is skilled at using them in practice.

This course replaces the course Big Data (ISM8TX100) from the previous curriculum.