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Course syllabus

Business Development for Data Scientists, 7.5 credits

Affärsutveckling för datavetare, 7,5 hp

Course code: IE2017

School of Business, Innovation and Sustainability

Level: First cycle

Select course syllabus

Version
2025-01-20 - Until further notice

Finalized by: Forsknings- och utbildningsnämnden, 2024-09-18 and is valid for students admitted for spring semester 2025.

Main field of study with advanced study

First cycle, has only upper-secondary level entry requirements. (G1N)

Entry requirements

General entry requirements (with the exemption of the requirement in Swedish) + English 6.

Placement in the Academic System

The course is an eligible course in the programme Applied Artificial Intelligence (AI).

Objectives

The course aims for the student to develop basic knowledge of concepts and models that describe and explain how values are created and developed through business operations. The course focuses on the role of technology in business development and how information drives decision-making for industrial management.


Following successful completion of the course the student should be able to:


Knowledge and understanding

  • explain basic economic concepts and the need for information for organisational decision-making
  • describe the opportunities and challenges of technology to manage, plan and develop business operations in a resource-efficient manner



Skills and ability

  • apply business concepts and methods as a basis for assessing and making decisions for industrial management
  • within given time frames, plan and implement own work in collaboration with other project members



Judgement and approach

  • evaluate business consequences of technical decisions and technical consequences of business decisions
  • reflect on business development from economic, social and environmental perspectives in relation to stakeholders

Content

The course provides a basic introduction to concepts and models that develop the understanding of industrial management with a starting point in technology and technology-based innovations. In the course, the company is described as a value-creating system in the form of strategies, business models, marketing, personnel management, production and product development, as well as its financial system in terms of accounting and financial planning. Within this conceptual framework, the need for information for economic decision-making is discussed, as well as how the development of information technology affects the ability to control, plan and develop business operations resource-efficiently. The course also touches on corporate social responsibility and sustainable development questions.

Language of Instruction

Teaching is conducted in English.

Teaching Formats

The teaching consists of lectures, seminars and supervision in connection with group assignments.

Grading scale

Three-grade scale (UV): Fail (U), Pass (G), Pass with distinction (VG)

Examination formats

The course is examined through an individual written assignment and a written group assignment.

2501: Individual Written Assignment, 5 credits
Three-grade scale (UV): Fail (U), Pass (G), Pass with distinction (VG)

2302: Group Assignment, 2.5 credits
Three-grade scale (UV): Fail (U), Pass (G), Pass with distinction (VG)

Exceptions from the specified examination format

If there are special reasons, the examiner may make exceptions from the specified examination format and allow a student to be examined in another way. Special reasons can e.g. be study support for students with disabilities.

Course evaluation

Course evaluation is part of the course. This evaluation offers guidance in the future development and planning of the course. Course evaluation is documented and made available to the students.

Course literature and other materials

Select literature list
2025-01-20 – Until further notice

Literature list 2025-01-20Until further notice

Engwall, Mats., Jerbrant, Anna., Karlson, Bo. & Storm, Per. Modern industrial management. Studentlitteratur, latest edition


HBR's 10 Must Reads on AI, Analytics and the New Machine Age. Harvard Business Publishing.