Strategic Decision-Making with AI (MSB260)

Whether you aspire to excel in consulting, pursue a career as a manager, or one day open your own company, you'll find that industry landscapes, market dynamics, and competitive environments continually evolve. However, there are universal laws and principles that remain constant, guiding the analysis and formulation of effective strategies. This course empowers you to master these principles, using cutting-edge artificial intelligence tools to navigate today's complex business challenges.

NB! This is an elective course and may be cancelled if fewer than 10 students are enrolled by January 6th for the spring semester.


Course description for study year 2024-2025

Facts

Course code

MSB260

Version

1

Credits (ECTS)

10

Semester tution start

Spring

Number of semesters

1

Exam semester

Spring

Language of instruction

English

Content

In "Strategic Decision-Making with AI," we delve into the practical application of managerial economics and strategic analytics, preparing you to:

  • Forecast Demand and Demand Functions: Utilize advanced analytical tools to accurately predict market demand, optimizing your strategic planning and resource allocation.
  • Identify Competitors and Differentiate Offerings: Equip yourself with the skills to pinpoint your true competitors and distinguish your products in the marketplace.
  • Set Prices for Different Consumer Groups: Learn to tailor pricing strategies that maximize value from diverse customer segments, enhancing profitability.
  • Allocate Advertising Budgets Effectively: Understand how to distribute your marketing investments across channels to achieve the best return on investment and maximize market penetration.
  • Optimize Organizational Structure: Streamline your organization to foster a culture of accountability and innovation, ensuring decision rights and incentives are aligned to encourage performance and adaptability.

This course simplifies the use of sophisticated analytics in strategic decision-making by leveraging tools like ChatGPT for the bulk of our analytical needs, supplemented by practical applications in Excel with Solver and elements of Python. Prior knowledge of Python is not required as we integrate it seamlessly with AI tools.

The course will equip you with a timeless toolkit, enabling you to make effective strategic decisions in the modern digital age. Equip yourself with the knowledge to not just survive, but thrive in the evolving landscape of business.

Learning outcome

Upon completing "Strategic Decision-Making with AI (MSB260)," students will have a comprehensive understanding of how to harness artificial intelligence in strategic decision-making to drive business growth and enhance management efficiency. Here’s what students can expect to master:

Knowledge: Students will gain an in-depth understanding of:

  • Utilization of Economic Principles: Learn to apply economic frameworks (with the help of AI) to optimize strategic decisions, enabling firms to gain a competitive advantage within complex market dynamics.
  • AI-driven Market Analysis: Learn how to assess market competition, identify key competitors, and evaluate market dominance using AI tools.
  • Marketing and Pricing Strategies: Acquire knowledge on developing effective marketing and pricing strategies that optimize profitability and market penetration.
  • Product Differentiation and Competitive Dynamics: Understand how to tailor products to different consumer needs and anticipate competitive responses using game-theoretic approaches, especially in digital markets with network effects.
  • Organizational Structure Optimization: Learn how to streamline organizational structures to foster innovation and accountability, align decision-rights, and create effective incentive schemes.

Skills: Students will develop the ability to:

  • Forecast and Analyze Demand: Utilize AI tools to predict market demand accurately and apply this knowledge to strategic business planning.
  • Implement Competitive Strategies: Employ AI insights to craft and execute competitive strategies that enhance market position and profitability.
  • Optimize Resource Allocation: Make informed decisions on allocating marketing budgets and other resources for maximum impact.
  • Drive Organizational Efficiency: Integrate AI tools to improve the efficiency of business processes and employee performance.

Practical Application:

  • The course involves practical, hands-on use of AI tools like ChatGPT to perform strategic analyses, ensuring students can apply theoretical knowledge to real-world business scenarios.
  • Students will engage in a comprehensive, simulated project that reflects the strategic challenges contemporary businesses face, enhancing their readiness for the modern business environment.

Outcome: By the end of the course, students will be proficient in integrating AI with strategic business practices, preparing them to lead and innovate in an increasingly digital and competitive business landscape.

Required prerequisite knowledge

None

Exam

Term paper and school exam

Form of assessment Weight Duration Marks Aid
Term paper in groups 45/100 1 Semesters Letter grades
School exam 55/100 4 Hours Letter grades Valid calculator

The final grade is based on a group project and a final individual exam. No re-sit. The term paper (45%): work in groups of 3-4 students. Due at the end of the term.Individual digital written exam (55%).

Coursework requirements

Assignments, Attendance to 2/3 of all lectures
The assignments are given in the form of individual practice questions or group work.

Course teacher(s)

Course coordinator:

Robert Kreuzbauer

Study Program Director:

Yuko Onozaka

Method of work

In this course, you will learn through a mixture of traditional lectures, instruction videos, learning sessions, data analytics sessions, and individual study. Lectures provide the basic theoretical and analytical concepts, while both learning and data analytics sessions will be problem/project-based in interactive and collaborative settings.

Open for

Industrial Economics - Master of Science Degree Programme Master of Science in Accounting and Auditing Business Administration - Master of Science
Exchange programmes at UIS Business School

Course assessment

There must be an early dialogue between the course supervisor, the student union representative and the students. The purpose is feedback from the students for changes and adjustments in the course for the current semester.In addition, a digital subject evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.

Literature

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