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.


Business Analytics refers to the use of quantitative models to help make better business decisions. This course focuses on mathematical optimization models that are commonly used in business applications. After the course the student can (i) recognize the types of real-world business decision problems where use of these models brings added value, (ii) interpret results of these models to derive defensible decision recommendations, and (iii) build and solve these models using relevant software to support business decision making.

Credits: 6

Schedule: 21.10.2024 - 04.12.2024

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Juuso Liesiö

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: Finnish, English


  • valid for whole curriculum period:

    Linear, mixed-integer, non-linear and multiple objective optimization/programming models with applications examples in supply chain management, production planning, finance and marketing.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Assignments and exam.

  • valid for whole curriculum period:

    Lectures, exercise sessions and exam. 


Study Material
  • valid for whole curriculum period:

    Lecture slides, scientific articles, assignments, computer implementations of mathematical models, and the textbook (An Introduction to Management Science by Anderson et al., 2014, ISBN Code: 978-1-111-82361-0).

Substitutes for Courses


Further Information
  • valid for whole curriculum period:

    Teaching Language: English

    Teaching Period: 2024-2025 Autumn II
    2025-2026 Autumn II