EIT Data Science
Profile
Big Data can provide important insights into business processes and uncover opportunities to cut costs and increase efficiency. Furthermore, data analytics enables organisations to effectively target specific audiences and to adapt product characteristics based on customer preferences. It can also be used to improve the decision-making process.
Yet, despite the immense potential of Big Data, many companies are blind to the value of the data they create. It is time for that to change – and our Data Science programme equips you with the skills to drive this change.
Our interdisciplinary master’s programme is designed to cover both the theoretical and the practical. We use a combination of face-to-face workshops, group activities, and hands-on exercises to cover everything from the basics of data analysis to such specific skills as:
- Scalable data collection
- Methods of data analysis
- Data capture
- Data storage
- Transferring data
- Visualising data
- Data pricing
- Data protection
The programme also includes ample opportunities to acquire business and entrepreneurial skills and apply your new skills and knowledge towards bringing a real innovative solution to the market and developing a successful business model.
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Admissions Requirements
Applicants must have Bachelor degree with a major in electrical engineering/ electronics, computer engineering, computer science or information technology. Courses must include those in computer science, computer architecture, or programming, and mathematics including calculus, algebra and mathematical statistics.
Program Information
Espoo
Finland
02150
Finland
- 2 years
- Full Time
- On Campus Learning
Additional Information
- Masters
- Joint Degree
Considerations