•   Business Analytics DIG704AS3YE-3001 20.10.2025-12.12.2025  5   (EVENING, ...) +-
    Learning objectives
    The overall learning objective of the course is to give the students insight into both how business may benefit from data analytics, including advanced analytics and data visualization, as well as a hands-on knowledge on how to implement data analytics projects in practice.
    Upon successful completion of the course, the student:

    • understands the concept of business analytics and how it can be applied to bring value to business
    • knows how to apply descriptive and predictive analytics in a business context
    • understand the role of knowledge models for business analytics and decision support
    • is able to identify data sources and use data from them
    • knows some tools and methods typically used in business analytics projects
    • is capable of planning and implementing a business analytics project
    Starting level and linkage with other courses
    The student must be ready for independent study planning and information seeking, as well as the trial-and-error -type approach for completing some hands-on assignments and part of the course project. No prior programming experience is required, and assignments may be done using graphical programming. However, a basic ability of algorithmic thinking is needed, and the student must acquire this kills independently if needed.

    This course unit is part of the master's degree's curriculum. Completion of the course requires master's study entitlement.
    Contents
    - Concepts and terminology of business analytics
    - Business opportunities and use cases of business analytics
    - Methods and software tools for descriptive analytics, including reporting, data visualization, dashboards, performance management systems
    - Methods and software tools for predictive analytics, including data mining, text mining, web data mining and machine learning
    - Methods and tools for knowledge structuring and representation

    - Methods and processes for managing business analytics projects
    Assessment criteria
    Assessment criteria - grade 1
    When the implementation type of the course is CONTACT, ONLINE or BLENDED it is required that the student is present during those teaching hours that are marked in the study schedule. If you are absent more than 25 %, your grade will be lowered by one. If you are absent more than 50 %, the course is failed.

    The student understands the basic concepts of business analytics. S/he has an idea of how business analytics could be used to create value for business. S/he can name processes, methods and software tools, and knows at an abstract level how some of them could be applied in business analytics projects.
    Assessment criteria - grade 3
    The student has a good understanding of business analytics and how it can create value for business. S/he knows processes, methods and software tools, and how they can be applied in practice in business analytics projects.
    Assessment criteria - grade 5
    The student has an excellent understanding of business analytics and its application in creating value for business. S/he knows processes, methods and software tools, and is skilled at applying them in practice in business analytics projects.
    Campus

    Pasila Campus

    Teaching language

    English

    Timing

    20.10.2025 - 12.12.2025

    Enrollment

    14.05.2025 - 22.05.2025

    Groups
    • EVENING
    • CONTACT
    • BLENDED
    • MADIGE
    • MADIGF
    • EXCH
    • MASBUTUMe2
    Teachers

    Lili Aunimo, Dmitry Kudryavtsev

    Seats

    31 - 60

    Degree Programme

    LITEM Degree Programme in Business Technologies

    R&D proportion

    0.00 cr

    Virtual proportion

    2.50 cr

    Evaluation scale

    H-5