Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.


The main learning outcome of the course is to understand how to use data analytics based on accounting and financial data in decision-making processes. The course gives a general understanding of how to use various analytical tools and technologies to prepare, visualize the data and use those analyses in the different stages of the business processes. Overall, during the course students develop general decision-making and problem-solving skills using data analytical tools.

Credits: 6

Schedule: 14.09.2021 - 19.10.2021

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Arpine Maghakyan

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English


  • valid for whole curriculum period:

    The course covers the fundamental understanding of accounting and auditing data analytics. Defines and explains the impact of data analytics on the business and accounting profession. In addition, it develops an analytical mindset supported with a provided toolkit to extract, transform, validate and visualize the data. Course includes various models and technics used for data analytics as an increasingly important skill for accountants. All the technics are supported by accounting-specific examples and cases.

    Further, the course discusses how

    • both internal and external auditors are integrating technology and data analytics to evaluate firm data and generate support for management assertion,
    • to apply Data analytics for measuring performance while the company is working toward the targeted goals,
    • to access and analyze the financial statement data, to understand the XBRL taxonomy.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    1. Lectures. Fundamental questions in data analytics accounting and auditing.
    2. Team work: participants work as a team as follows:

    - Group presentations (40 %),

    - Cases, exercises (60 %).

    Exception in Autumn 2020 onli

  • valid for whole curriculum period:

    160 h 

    - Classroom hours,

    - Class preparation, readings,

    - Case exercises, presentation.


Study Material
  • valid for whole curriculum period:

    Reading material announced in class.

Substitutes for Courses
SDG: Sustainable Development Goals

    8 Decent Work and Economic Growth


Further Information
  • valid for whole curriculum period:

    Teaching Period:

    2020-2021 Autumn II

    2021-2022 Autumn I

    Course Homepage:

    Registration for Courses: In the academic year 2021-2022, registration for courses will take place on Sisu ( instead of WebOodi.

    Please see Sisu for the registration dates.

    If more students have enrolled by the enrolment deadline than can be accepted on the course, priority will be given to students based on their study right: 1. Accounting BSc and MSc students 2. BIZ exchange students 3. Other BIZ and Aalto schools students.