Business Intelligence with Sandwich Placement

Year One

During year one you will learn about the fundamentals of business operations and the importance of businesses understanding their data in order to implement suitable analytics, strategies for growth and efficient decision making. Themes that will be covered will include Big Data, Cloud Computing, Programme and Problem Solving, Financial Analysis and Information Management and Security in Business, and Collaboration Projects.

Year Two

In the second year, you will cover subjects in more depth and gain more hands on practical experience of using technology to support business decisions through understanding data processing and interpreting of data. This will be through using Machine Learning Technologies, understanding the importance of Operational Research, how Social Media and E-Marketing provide Big Data and influence businesses as well as gaining experience of Computing and Security Architectures and Business Continuity Planning

Year Three

In your third year, you will further develop and apply knowledge and experience of a range of different applications and various technologies, techniques, tools and methods in relation to Business Intelligence. Themes covered in this year will influence and support your final year project module and include Advanced and Predictive Analytics software, Mobile applications, Analytics and Big Data Management, Digital Business Strategy and Data Mining

Optional Placement Year

The University of Wolverhampton is keen to ensure graduates have both the academic and work based skills required in industry. Graduates have the options of a placement in industry between levels two and three. The results in a four year length degree which gives graduates an award of BSc (Hons) with sandwich.

Though our up to data teaching laboratories students will gain experience and knowledge through both theoretical instruction and practical activities. Students will gain experience of using Business Intelligence analysis software such as SAS ,Logi Analytics, SPSS. As the activities within Business Intelligence deal with online analytical processing (OLAP), students will use different technologies such as Cloud Computing and Databases for the purpose of gathering data for statistical analysis, forecasting, data analytics and data mining to aid the decision making process.