Analytics and AI for Strategic Management
This course is aimed at executives who want to learn about AI-driven data analysis and how to integrate data analytics findings into decision-making processes.
- English
- Part-time
- Credits: 30
- Price: 104,400 NOK
- Oslo
What you will learn
- Foundational knowledge of data analysis, algorithms, machine learning and AI from a business perspective
- How to use data and AI in strategy development
- How to leverage analytics and effectively communicate with technical partners
In this course you will learn about complex analytical tools, machine learning and how AI can revolutionize strategic decision making. As business development grows increasingly dependent on analytics, the capacity to bridge the distance between decision-makers and data scientists becomes essential.
This course is for executives and business managers who want to understand the science behind data analytics. Through lectures, workshops and real-world cases you will learn how and when to use data and AI to enhance your business’ performance.
At the end of this course, you will have the knowledge you need to integrate findings from data analytics into your strategic decision-making and apply these insights to your business.
"This course is aimed at managers who want to become sophisticated consumers of analytics. The idea is to learn just enough analytics that you know what to ask for and where the pressure points are. The participants will learn from cases, discussions, live examples and assignments."
Admission requirements
- You are at least 25 years old
- You have completed a bachelor's degree
- You have 4 years of full-time work experience (3 years if you already have a master's degree)
Students without a completed bachelor's degree can, in some cases, be admitted based on prior learning and work experience.
Take the course or build a degree
This course can be integrated in an Executive Master of Management.
The course awards 30 credits, and a master's degree consists of 90 credits. Should you choose to take more master's level courses later, you can accumulate a complete master's degree. The combination of courses is up to you, based on your learning goals and career plans.
Sessions
This course consists of five sessions of 3 - 4 days each, over the course of two semesters. All modules takes place on campus in Nydalen, Oslo.
The syllabus is made available as soon as you have been admitted to the course.
Exams consists of a term paper and a three hour written exam. The term paper counts for 60% of the total grade, and can be solved individually or in groups of three students. The written exam counts for 40% of the total grade.
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Module Outcome: Awareness of strategic questions potentially answerable with data.
This session begins with an overview of contemporary strategy perspectives. We also explore how data collection has changed in the past few years and how this has the potential to affect business strategy and decision-making.
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Module Outcome: Understand the analytics process, with an emphasis on data collection and preparation.
This module introduces analytics as a scientific process involving problem specification, modeling, data collection, analysis and summary.
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Module Outcome: Using algorithms for analytics projects in strategic management.
This is the first of two more technical modules. It will formalize module 2's concepts and implement and visualize them by using the Python programming language.
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Module Outcome: Using algorithms for analytics projects in strategic management.
Module 4 is a continuation of module 3.
By the end of Modules 3 and 4, students will know enough to conceptualize strategic objectives as data science problems and clearly communicate those problems to data science professionals.
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Module Outcome: Use Modules 2-4 to implement term projects.
This module integrates the earlier modules as a workshop in which you apply analytics process and procedures to your term projects. You will present in class and work in teams, together with faculty, to refine your strategic management projects.
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Webinars will occur between modules, mostly to present specific topics or to help students prepare for assignments.
Faculty
Time and effort required
All our courses are designed to be combined with a job and a personal life. Still - you'll need to dedicate some time.
You'll spend a total of 15 workdays on sessions, plus an additional day for the written exam.
Additionally, you'll need to make time for reading the course material and writing the term paper.
How much time this takes varies widely from student to student, and you can adjust this to fit your other commitments.
Read more about balancing part-time studies with work and personal life.
Tuition
This course is eligible for support from the Norwegian State Educational Loan Fund.
Tuition fees are normally charged in two installments, 1-2 weeks after the start of each.
Want to know more?
We regularly host informational webinars that you can join. You can also schedule a personal guidance session with one of our councellors.
Similar courses
Not quite the course you were looking for? We offer a range of courses in the same subject area - from short courses to part-time master's level studies.