Syllabus

Title
4383 Course III - Business Analysis Project
Instructors
Gianluca Piucco, BSc (WU), MSc, Dr. Daniel Schaupp
Contact details
gianluca.piucco@wu.ac.at, daniel.schaupp@wu.ac.at
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
02/17/25 to 02/18/25
Registration via LPIS
Notes to the course
Subject(s) Bachelor Programs
Specialization in Business Administration Course III - Management and Controlling
Course III - Strategy and Managerial Accounting
Course III - Management and Controlling
Dates
Day Date Time Room
Tuesday 03/04/25 01:00 PM - 05:00 PM D5.1.003
Tuesday 03/11/25 01:00 PM - 05:00 PM EA.5.040
Monday 03/17/25 08:00 AM - 05:00 PM Extern
Tuesday 03/18/25 09:00 AM - 02:00 PM Extern
Tuesday 03/25/25 01:00 PM - 05:00 PM D5.1.002
Tuesday 04/01/25 01:00 PM - 05:00 PM EA.5.040
Tuesday 04/08/25 01:00 PM - 05:00 PM EA.5.040

On this page:

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Contents

This class is project-based. Students will take the role of a financial analyst and conduct a comprehensive analysis of the firm's corporate and business strategies, its past financial performance and its value drivers.

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Learning outcomes

After completing this class students will be able to:

  • analyze a firm's strategy (corporate and business strategy)
  • interpret financial reports
  • use databases like Bloomberg or Refinitive to access key financial data
  • calculate and interpret financial ratios and KPIs
  • combine financial and non-financial data to analyze value drivers
  • design and implement a financial analysis project

Apart from that, completing this course will contribute to students' abilities to:

  • be an effective, hard- and soft-skilled team member
  • work effectively in a team-based structure
  • give presentations on complex topics
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Attendance requirements

Attendance: In order to successfully pass this course, your absence is limited to 20% of all our appointments including online sessions. 

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Teaching/learning method(s)
  • Lectures
  • Material for self-study
  • Coachings
  • Group discussions
  • Group assignments

The course uses a problem-based learning approach. This implies that students will need to develop solutions to complex questions on an individual and/or group level. To support this process, a mix of instruments will be used: Input lectures and other learning materials will provide basic concepts for the next steps, coaching sessions will provide early feedback and presentations and reports will demonstrate the ability of students to successfully structure problems and provide meaningful answers.

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    Assessment

    The course grading system is based on:

    • kick-off presentations 30% 
    • Excel model and financial analysis presentation, incl. components of grading from peer-review 60%
    • Participation 10%

    Grading scheme

    • excellent/Sehr gut ≥87,5%
    • good/Gut ≥75,0%
    • satisfactory/Befriedigend ≥62,5%
    • sufficient/Genügend ≥50,0%
    • not sufficient/Nicht genügend <50,0%
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    Prerequisites for participation and waiting lists

    required: SBWL Course I

    recommended: SBWL Course II, AMC III

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    Readings

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    Recommended previous knowledge and skills

    Experience in Excel modeling, with IFRS or corporate finance topics will be helpful, but is not required.

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    Availability of lecturer(s)

    contact hours: by appointment

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    Other

    We are looking forward to a regular term without an absolute minimum of online sessions. Please reserve October 14/15 for an external 1.5 day session including an overnight stay. More information will follow in due course.

    For questions: please contact the respective course instructor

    Last edited: 2024-10-29



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