Examination arrangement

Course content

Through the course «Digital transformation and sustainability in the financial sector», the participants will get an overview of factors that affect development both in this sector and in society in general in the coming years. To understand what this is about more fundamentally, participants will learn about the principles of digital economics and the consequences of a transition from industrial to digital economics in terms of business development and business models. In addition, participants will gain insight into different variants of artificial intelligence where special emphasis is placed on understanding "deep neural networks" both in terms of what opportunities such technology provides for new work processes and new services and what limitations these technologies entail. In addition to the participants being able to understand the technological principles, they also gain insight into various ethical challenges created by artificial intelligence. As a final theme in the course, digital transformation is linked to sustainability and the challenges and opportunities associated with selected sustainability challenges. The course is an independent course that is not included in any study program. However, one can apply to have it incorporated into a study program on an individual basis. The course overlaps with SMF 6570/6572 Digital transformation and sustainability, and can not be combined with these in any study program.

Learning outcome

Knowledge

Through this course, participants will…

Gain insight into what artificial intelligence is and what possible uses exist for artificial intelligence in the financial sector.

Gain special insight into how deep neural networks work and what advantages and disadvantages are associated with the use of such technology

Gain advanced knowledge of the digital economy and the ways in which the development of a digital economy replaces a more traditional industrial economy and affects the sector's services, business models and actors

Gain advanced insight into what blockchains and cryptocurrencies are, how they work, what they are suitable for as well as what they are less suitable for

Gain advanced knowledge about the relationship between digital transformation and sustainability

Skills

Throughout the course, participants will…

Be able to assess in which situations artificial intelligence can be used to change or create new work processes

Be able to design service concepts that make use of the special features of the digital economy

Be able to assess what different blockchain solutions may be suitable for in the financial sector

Be able to assess the consequences of different sustainability goals for the financial sector and its affected parties

General competence

Through this course, the participants will gain competence to be able to…

apply current theory and models to a broad field of practical issues related to digital transformation in one's own organization and the sector more generally

apply their knowledge in new contexts in the sector

develop and actively participate in the implementation of current change and innovation projects in your own organization

Learning methods and activities

There are three prerequisites that must be in place for one to be able to learn something. One must have some form of instruction, one must practice and one must know whether one has understood something or not.

The instruction in these courses will be fully digital, mainly in the form of texts and videos, while exercises and tests of comprehension will be in the form of various types of exercises. In addition, there will be extensive feedback loops in the form of various types of evaluations, small questionnaire surveys, etc.

The course is divided into independent units that are completed individually at your own pace, but within a given time frame and in a given order. Each of the courses will be accompanied by synchronous events in the form of webinars, podcasts, Q&A and more.

The four units include the following topics, preliminary overview of planned courses and exams: Artificial intelligence

Digital economy

Blockchains and cryptocurrencies

Digital transformation and sustainability

Exam module

Further on evaluation

Home exam taken individually or in groups of up to 3 with a time frame of 3 weeks. Graded grades are given.

Specific conditions

Required previous knowledge

Admission to the course requires a bachelor's degree.

Course materials

All necessary course material is included in the relevant learning paths