Foresight for Export Growth (1op)

Arviointiasteikko

Hyväksytty/Hylätty

Sisällön jaksotus

Gain the essential knowledge and practical skills needed to anticipate future trends and skill needs in international trade. This fully automated MOOC provides a concise introduction to futures thinking and foresight, specifically designed for SME exporters, international trade professionals, and students or professionals transitioning into the export industry. Across four focused episodes, you will explore: • The key concepts of futures thinking and foresight in the export context • How to use different data sources and the PESTE framework to build scenarios for the export environment • How scenarios support strategic planning and decision-making in export business • Tools and strategies to anticipate future skill needs and enhance competitiveness in international markets Learning Outcomes After completing the course, you will be able to: • Describe the key concepts of futures thinking and foresight in the export context • Explain how data sources and the PESTE framework can be applied to build export scenarios • Illustrate how scenarios support strategic planning and decision-making while anticipating future skill needs Who Should Participate • Finnish SME exporters aiming to future-proof their operations in global markets • Students pursuing careers in international business, export management, or strategic planning • Professionals transitioning into export, business development, or innovation roles • New employees seeking structured onboarding in strategic export practices The course content has been developed based on expert lectures and industry collaboration within Laurea UAS’s RDI (Research, Development, and Innovation) project. Learn how to anticipate future trends, build actionable scenarios, and strategically plan for the next 3–5 years in your export operations through this practical, self-paced online course.

Tavoitteet

The student is able to - describe the key concepts of futures thinking and foresight in the export context - explain how different data sources and the PESTE framework can be used to build scenarios for - illustrate how these scenarios support strategic planning and decision-making in export business and can help anticipate future skills needs

Aika ja paikka

In the Digicampus online learning environment during the duration of the course. See Timing.

Oppimateriaalit

The learning materials are available on the online learning platform.

Opetusmenetelmät

Self-paced online course. The course is completed entirely independently by the end of the course deadline. You will study the material in an online learning environment, which includes study materials and assignments/tests. No personal feedback will be provided on the assignments.

Harjoittelu- ja työelämäyhteistyö

The course content has been developed based on expert lectures and industry collaboration within Laurea UAS’s RDI (Research, Development and Innovation) project.

Tenttien ajankohdat ja uusintamahdollisuudet

The course workspace will remain open until the end of the course deadline (see Timing), and all assignments must be completed before the workspace closes.

Kansainvälisyys

The study unit is suitable for exchange students and supports the development of international competencies in a multicultural learning environment.

Toteutuksen valinnaiset suoritustavat

According to the degree regulations (2024), Students are entitled to apply for recognition of prior learning regardless of where, when and how the competence has been acquired. ... At Laurea, there are two different procedures for the recognition and accreditation of prior learning: a) accreditation of prior learning (competence acquired in higher education studies at another institution) and b) demonstration of competence (competence acquired in other ways). The recognition and accreditation of prior learning is initiated by the student themselves. The student is responsible for demonstrating and verifying their competence. The student is entitled to guidance for the recognition and accreditation of their competence. Further information in the student intranet. You may also assess work-based learning as a way to acquire the competence needed. Read more in the student intranet.

Opiskelijan ajankäyttö ja kuormitus

Workload of the study is measured in a way that to acquire the goal competence of the study, one credit corresponds to an average of 26.7 hours of work done by the student. The actual time needed varies e.g. according to prior competence.