Competitive advantage from smart usage of data
As a Management School with 65 years of experience, we understand that today’s managers need to understand all aspects of their business. Most businesses have access to a wealth of data. However, information is not the same thing as knowledge. Data is not helping your business succeed if you do not have the tools for using that data or the expertise to use those tools. This course is designed to help you to turn data into a competitive advantage for your business.
The first tool that this course introduces is Tableau, a user-friendly data management and reporting interface with which even a manager can quickly gain proficiency. Previously, you would need to hire data scientists or have a specialised data analysis department to have access to customized reports and visualizations from your firm’s data.
Next we will dive deeper into the topics of Big Data and Artificial Intelligence. Once you are comfortable visualizing and making sense of your data with Tableau, the manager needs to utilize this knowledge to make better decisions. Much of today’s growth in business is coming from innovation and efficiencies. These could be automation, artificial intelligence, mass customization or other modern tools. You will be introduced to the Microsoft Azure Platform so that you can understand how today’s technically oriented manager can manage state-of-the art analytical projects without having to learn to write any code.
Join us for this week of learning so that you can see that is easier than ever to take control of your data to deliver better value to your customer and remain competitive.
Did you know that you can combine the April 2018 course with the e-Government policies course which will run the week before? Combining these two courses will save you up to a maximum of €500,-
Complex Problem Solving
Certificate (diploma optional)
16 - 20 April 2018
At the end of this program you will:
- Be able to understand the decision context you are in, select and apply the right decision tool
- Understand what big data, data science and artificial intelligence is and what it can do for your company
- Understand how to perform a simple data science project
- Build visualizations that help to explore data but also to explain findings to help you impact decisions.
|Morning||Decision making context||Data visualization||Introduction to Machine Learning||Introduction to Big Data Tools||Making better decisions when little data is available|
|Lunch||Lunch @ MSM||Lunch @ MSM||Lunch @ MSM||Lunch @ MSM||Lunch @ MSM|
* Introduction to Big Data and the data driven process
|Data visualization||Introduction to Machine Learning||Project||Project|
- An introduction to applied decision sciences
- Data driven decision making with the help of big data and artificial intelligence
- Data visualization with Tableau
- How to marry expert knowledge with facts and data to make better decisions
- How data can be used inside your company
- A first encounter with big data machine learning on AzureML (Microsoft).
- Case studies
- Online excercises
- Business leaders that want to know what opportunities and threats artificial intelligence possesses for their industry
- Managers who want to change their company into a data-driven company
- Team leaders of a data-intensive team that want to gain subject matter-knowledge
- Product managers who develop intelligent services or products
The ideal student has a background in business and a deep interest in learning to make better data driven decisions. He/she should have a first exposure to descriptive statistics.
Each participant receives a certificate of attendance on the last day of the course. Only for those who will complete an additional assignment will receive a diploma. In case you would like to have more information you contact email@example.com
Joris Stadhouders, MSc
Joris Stadhouders, MSc works as an Assistant Professor of Management Information Systems at MSM. He holds a B.S. in Mathematics from Delft University of Technology (the Netherlands) and a M.Sc. from Eindhoven University of Technology (the Netherlands). Joris was an automation expert for the Netherlands Economic Institute, has worked in management consultancy positions in South America and Central Asia and has lectured applied statistics and information technology courses. He lectures Computer Applications, Management Information Systems, Information Technology for Executive Action, and Quantitative Techniques.
The full tuition fee
The tuition fee of this course is € 2,499.
Tuition fee includes all course materials and study materials. Tuition fee does not include housing, food and living expenses. Participants are required to arrange their own housing facilities. MSM can assist in finding hotel accommodation.
Scholarship opportunities can be combined up to 50% of the full tuition fee.
15% for 2 participants coming from the same organization within 1 academic year
25% for 3 particpants coming from the same organizatin within 1 academic year
40% for 4 - 6 participants coming from the same organization within 1 academic year
For > 6 participants we will offer a tailor made program
European Star Scholarship:
50% for European citizens and long term residents. Submit a 2 - 3 page essay on the topic: "What will be the positive change for my organization and me after participating in this course?"
Alumni Lifelong Learning:
15% discount for Maastricht School of Management registered Alumni
Dean's Development Fund:
Select your country below to see the actual price of the program (full tuition fee-/-DDF scholarship)
The tuition fee of this course is (select country).
MSM reserves the right to postpone or cancel the program in case the number of participants does not meet the MSM requirements for minimum number of participants. Any payment made to MSM for tuition fee will be refunded. In the case of postponement or cancellation of the program MSM will inform the enrolled candidates at least six weeks before the planned start of the program.
By the participant:
If an admitted participant decides against participation after the tuition fee has been paid, cancellation costs are €200,- (administrative costs)
In case cancellation is done after the program has started no money will be refunded.
No cancellation charges are incurred if the enrolled participant, with written consent of MSM, will be replaced by another participant before the start of the course. Refunded tuition fees will only be reimbursed to the sponsoring party and cannot be forwarded or redeemed by any other party.
Participants who were not granted a visa to enter The Netherlands, can be fully reimbursed if written official documentation is provided of such visa denial.
Deadline for course in April 2018: 15 March 2018
Applicants should have the ability to function academically and professionally at Bachelor level and should have an adequate level of spoken and written English.
Reasons to follow the Turn Big Data into Competitive Advantage program
- Your project is directly actionable inside your company
- The course handles the concepts of what drives the automation of knowledge workers
- Easy-to-use tools make the field acessible for non-engineers
- One of the most sought skills in the labor market
- Understand technology that changes industries.