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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

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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.

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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.

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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.

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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)

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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.

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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: http://www.hv.se

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Statistical analysis

✦ The foundation of classical statistical inference.

✴Probability theory✴Estimation✴Parametric testing✴Nonparametric testing

✦ The basis for many methods used in coming courses.

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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.

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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

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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

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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)

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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

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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.

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Thesis

✦ Showing your skills on a real problem and writing a

excellent thesis about it.

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Contact person

✦ Tobias Arvemo

✦ E-mail: tobias.arvemo@hv.se