1 Business Administrators of today and tomorrow need, along with their business knowledge, analytic insight and understanding, as well the ability to apply and use IT- based tools. Students with such skills and knowledge have a competitive advantage after graduation by being able to quickly contribute once being employed. The masters Program in informatics and Business Analysis (60 ETCS credits) at University West is an interesting and imaginative program that provides the skills of tomorrow today. Urban Hagström Finance and Business Control Volvo Aero Corporation

2 Master Program in Informatics and Management ✦ A modern education with a syllabus constructed in cooperation with the Swedish market. ✦ Aimed toward economics students with an interest in using IT-tools and analysis to sharpen there competence.

3 Market ✦ Companies has invested vast amounts into computer systems that handles large quantities of business data. ✦ There is a growing need for specialists with skills in both Economics and Informatics that can analyze large datasets. ✦ The Master Program brings these two skills together.

4 Aims ✦ To give the student double competences within the fields of Informatics and Business/Business administration. ✦ To learn the students to use state of the art methods and programs for analysis. ✦ The student should be able to see where Informatics techniques would enhance business performance and implement such techniques.

5 Courses ✦ Statistical Analysis and Quantitative Methods (15 ETCS credits) ✦ Applied regression analysis (7.5 ETCS credits) ✦ Business Systems (7.5 ETCS credits) ✦ Data Warehouse (7.5 ETCS credits) ✦ Data Mining (7.5 ETCS credits) ✦ Master’s Thesis (15 ETCS credits)

6 Methodology ✦ All courses contains student projects or hand-in tasks. ✦ There is a large problem solving content in each course to practice the students problem solving abilities. ✦ We use stat-of-the-art computer programs as Enterprise Miner (SAS corp), Clementine (SPSS corp), Answer Tree etc. ✦ The student projects/tasks are to a large part real problems from companies and organizations.

7 Requirements ✦ To be eligible for the Master Program a student must hold a Bachelor’s degree in Business or Business Administration. ✦ For more information see:

8 Statistical analysis ✦ The foundation of classical statistical inference. ✴ Probability theory ✴ Estimation ✴ Parametric testing ✴ Nonparametric testing ✦ The basis for many methods used in coming courses.

9 Applied regression analysis ✦ Consists of five modules ✴ General introduction to different dependency between variables. Tree analysis. ✴ Basic linear regression. ✴ Multiple regression. ✴ Logistic regression. ✴ Time series analysis. ✦ Each module consists of lectures and a student task. Hand in and presentation is graded.

10 Business systems ✦ Business functions and processes ✴ How to understand business processes and information ✦ Concepts in enterprise resource planning ✴ Developing an enterprise resource planning system ✦ Guest lectures: ✴ Business process modelling ✴ Competence management

11 Business systems ✦ Business information systems ✴ Critical data and information management ✦ Information system strategies ✴ Distribution, diversity and heterogeniety in IS databases ✦ Related research and practice ✴ Discussion of scientific papers ✴ Project work and writing essays

12 Data warehouse ✦ Aspects of sharing enterprise data ✴ A need for database administration ✴ Accessing internal and external data sources ✴ Differences in cultural and workflow practices ✦ Introduction to database management ✴ Basic concepts ✴ Developing a relational database (MS SQL Server) ✴ MS SQL Server Environment (a ”leading- market” relational database management system)

13 Data warehouse ✦ Introduction to OLAP: On-line Analytical programming ✴ Key concepts and practical project work in MS SQL Server tool; Loading and formatting external data files into a database system Analysing and presenting information Creating cubes in MS SQL - a visual representation

14 Data mining ✦ Learn the student the basic theory and practical skill of handling and analyzing large data sets. ✦ Uses stat of the art computer programs such as Enterprise miner, Clementine etc. ✦ Multivariate analysis methods, neural nets etc.

15 Thesis ✦ Showing your skills on a real problem and writing a excellent thesis about it.

16 Contact person ✦ Tobias Arvemo ✦