Enrolment options

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.

LEARNING OUTCOMES

The goal of the course is to equip students with the following valuable skills for a career in market research:

  • Apply the basic principles of survey research to design and conduct their own surveys.
  • Utilize a range of data analysis techniques to analyze survey data.
  • Understand the ethical considerations involved in survey research.
  • Apply all of the above to critically evaluate survey research conducted by others.

 

Master's thesis students:

This course caters to students who plan to collect or use survey data as part of their Master’s Thesis research projects. It is offered twice a year (periods I and III). We recommend that you take this course once you have finalized your research questions and are ready to begin designing your survey.

Credits: 6

Schedule: 08.01.2025 - 12.02.2025

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Alexei Gloukhovtsev

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

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    From customer satisfaction and consumer product surveys to healthcare surveys and public opinion polls, we regularly encounter a variety of surveys. These tools are essential for data collection and are widely used by businesses, the media, public sector organizations, and academic researchers. Regardless of your chosen career path, if you plan to work with data, you will likely need to engage with surveys.

    This course aims to introduce and provide an overview of survey methods, including their applications and limitations. It will cover key topics in survey research related as survey design, sampling techniques, and data analysis. Instruction will be based on a combination of case studies, real-world datasets, and a hands-on project where students will design their own surveys. By the end of this course, you will be equipped to design and administer methodologically sound surveys. You will also gain the ability to analyze survey data, deriving insights that support both your own research and the research needs of your organization. Furthermore, you will develop skills to critically assess the survey research conducted by others.

     

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Individual and group assignments, final exam.

     

Workload
  • valid for whole curriculum period:

    Contact teaching and independent work

DETAILS

Study Material
  • valid for whole curriculum period:

    A collection of articles assigned by the instructor

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    10 Reduced Inequality

    16 Peace and Justice Strong Institutions

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language: English

    Teaching Period: 2024-2025 Autumn I
    2024-2025 Spring III
    2025-2026 Autumn I
    2025-2026 Spring III

    Registration:

    The number of students admitted to the course is capped at 60. Students will be admitted in the following order: Aalto students studying in (1) the MSc-programs in Business Analytics & Information and Service Management, (2) the MSc Program in Marketing, and (3) other MSc programs at Aalto BIZ. There is also a separate quota for doctoral students. Capacity limitations permitting, Aalto BIZ B.Sc. students with a minimum of 150 completed credits may also be accepted.

Guests cannot access this workspace. Please log in.