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2017/2018 MA-MMFUV1004U Big Data and Analytics
| English Title | |
| Big Data and Analytics |
Course information |
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| Language | English |
| Course ECTS | 6 ECTS |
| Type | Elective |
| Level | Part Time Master |
| Duration | One Semester |
| Start time of the course | Autumn |
| Timetable | Course schedule will be posted at calendar.cbs.dk |
| Min. participants | 10 |
| Max. participants | 30 |
| Study board |
Study Board for Master i
forretningsudvikling
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| Last updated on 23-11-2017 | |
Relevant links |
| Learning objectives | ||||||||||||||||||||||||
To achieve the grade 12, students should meet the
following learning objectives with no or only minor mistakes or
errors:
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| Course prerequisites | ||||||||||||||||||||||||
| Students should have basic knowledge of
management and experience with Excel.
The course target managers and specialists working with, or interested in working with, external and internal data for different business functions such as Customer Segmentation, Human Capital Analytics, Predictive Maintenance etc. The course is also open for professionals who would like to understand the power of analytics and get knowledge about how to use data for evidence-based management decisions. |
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Most companies have accumulated a surfeit of business data: customer data, performance-related data, current and historic operational data, data from employees’ engagement surveys, etc. Yet, only few can make extensive use of data to drive evidence-based management decisions, support business development and transformation. Why so?
In addition to the need of owning data of a reasonable quality, developing a solid ground for evidence-based decisions requires having the right people, with the advanced analytical skills and scientific rigor in modeling and interpretation of the results.
The course provides participants with a deep understanding of the nature of big data and business analytics, and a practical toolkit on how to perform big data analysis. Our focus is on discovering different ways to generate business value from in-house and open big data sets for the purpose of increasing competitiveness in the global marketplace.
After having attended this course, you will gain knowledge about paradigms for generating competitive advantages and business value from new technologies. Furthermore, you will understand the logic behind business and big data analytics. The course also focuses on the importance of providing evidence to sustain managerial claims, applying an analytical process that covers all activities from problem formulation to result communication, and reflecting on and managing potential pitfalls.
You will be introduced to the Centre for Business Data Analytics framework for transforming big data sets into business assets by creating meaningful facts, actionable insights, valuable outcomes, and sustainable impacts. Building on the experience of Human Capital Analytics Group at CBS, you will learn about the different kinds of human capital analytics projects that can be carried out on corporate data. Projects that supports corporate transformation and business development by linking people and performance. |
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| Teaching methods | ||||||||||||||||||||||||
| Blended Learning, Interactive lectures, Hands-on exercises, “Show-and-Tell” Demos, and In-Class Project Work. | ||||||||||||||||||||||||
| Feedback during the teaching period | ||||||||||||||||||||||||
| Feedback during class is possible. | ||||||||||||||||||||||||
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