Analytics and AI for Strategic Management
This master course aims to create professionals who can bridge the gap between decision-makers and data scientists.
What you will learn
Business digitalization is changing the content and process of strategic analysis. While classical “big picture” analysis skills remain relevant, more executives now need to understand advanced forms of data analytics to articulate and evaluate strategies.
While data science and analytics professionals typically come from either computer science or statistics, and have years of technical training, strategic decision-makers are typically trained and experienced in business management. As strategy-making grows increasingly dependent on analytics, organizational capacity to bridge the distance between decision-makers and data scientists becomes essential.
Analytics and AI for Strategic Management aims to create professionals who can bridge this gap, and become sophisticated data consumers. Through lectures, workshops and real-world cases, you will learn analytics’ foundational concepts and how to apply those to strategic management.
"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.
Modules and course content
This course consists of five modules of three to four days each, over the course of two semesters. All modules takes place on campus in Nydalen, Oslo.
Please note that dates may be subject to change.
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 is solved in groups of two to three students. The written exam counts for 40% of the total grade.
Modules
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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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Analytics Concepts and Processes for Strategic Management
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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Implementing Analytics for Strategic Management
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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Implementing Analytics for Strategic Management
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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Workshop on Implementing Analytics for Strategic Management
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
His research formalizes microsociological theories of endogenous social network evolution.
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 17 workdays on modules, 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.
Tuition fee
The tuition fee is invoiced per semester and adjusted annually. It includes access to lectures and the standard examination fee.
Want to know more?
We regularly host that you can join. There you will meet a guidance counsellor and have the opportunity to ask questions.
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.