Description
The 18-month MSc in Data Analytics is a new postgraduate programme in the field of data analytics at the Berlin Campus of BSBI. The course will provide students with key knowledge to work in data analytics but also provide them with the skills and confidence required to pursue their entrepreneurial dreams.
Berlin School of Business and Innovation is in partnership with University for the Creative Arts (UCA). As a result of this partnership, BSBI is able to offer the MSc in Data Analytics. UCA is an acclaimed creative institution in the UK that ranks highly in all three of the major UK league tables. The university has also been ranked 13th out of all UK universities in the Guardian League Table 2020; and ranked no.7 in the 2021 Guardian League Tables for Business, Management & Marketing.
Location: BERLIN
Delivery: On campus
Duration: 18 months
2022 & 2023 Intakes: Feb, May, October
Campus: Berlin, Germany
Degree awarded by University for the Creative Arts
Tuition fees:
2022 INTAKES
- International students Price: €12,000
- EU students Price: €8,000
Berlin | Paris to Berlin Intakes
Special offers effective June 2022: Up to 40% Discount for International Students | 10% discount for EU Students
2023 INTAKES
- International students Price: €12,600
- EU students Price: €8,000
Berlin | Paris to Berlin Intakes
Special offers effective Jan 2023: Up to 40% Discount for International Students | 10% discount for EU Students
Terms and conditions apply. Find out more here.
Credits: 180 UK credits per year (equivalent to 90 ECTS per year)
Teaching takes place Monday to Saturdays, during morning, afternoon, or evening sessions.
What you'll learn
- Provide conceptual frameworks for data analytics which draw insights from academic research into the challenges of contemporary technical, management and business practice in areas like business analytics, machine learning, artificial intelligence, natural language processing, computer vision and visualisation.
- Enable students to synthesize and examine critically the opportunities and threats posed by both globalization as well as business innovation in the business analytics industry and how historic and contemporary frameworks provide insight into the future of the business analytics industry
- Highlight the complexity of the emergent organisational context of data analytics industries for both international and national settings as well as large and small organisations.
- To offer students an integrated approach to the study of data analytics in the international industries that emphasises the interdependence between some of the core disciplines and practices of technology and management.
- Enable students to excel in a professional and managerial environment having built on existing knowledge of fundamental concepts and skills whilst developing new ones.
- Prepare students for high-level autonomous graduate employment, research, further study and lifelong learning by developing their intellectual, practical and transferable skills.
Curriculum
- • Fundamentals of Data Analytics • Predictive Analytics and Machine Learning using Python
