Berlin School of Business and Innovation is in partnership with University for the Creative Arts (UCA). As a result of this partnership, BSBI can offer the data analytics master’s degree. UCA is an acclaimed creative institution in the UK that ranks highly in all three of the major UK league tables. The university ranked 13th out of all UK universities in the Guardian League Table 2020 and ranked seventh in the 2021 Guardian League Tables for Business, Management & Marketing.

The MSc Data Analytics programme is delivered 100% on-campus with full access to state-of-the art facilities.

The latest technology is used to enhance learning and collaborative working, research-active staff work with you on the latest research developments, while industry guest speakers and live briefs provide development opportunities embedded throughout the programme. This enriches your creative and business practice and significantly contributes to your experience at university and the preparation of professional practice.

The Master's in Data Analytics programme revolves around analysing data and extracting useful knowledge using advanced techniques from data science and mathematics. Building predictive models is usually the most important activity for a data analyst.

The demand for data analytics experts, who excel in programming and data management has increased significantly over the last few years as companies become more dependent on data science for business understanding, data understanding, data preparation, modelling, evaluation and deployment. This means there is ample opportunity for students to find a rewarding position within the field of data analytics. 

You will earn a master’s degree with 180 UK credits (equivalent to 90 ECTS). This helps student mobility in the EU when it comes to transferring credits from one higher education institution to another.

The well-structured MSc Data Analytics programme is perfect for those with a desire to pursue a career in the field of computer science or data analytics who are looking to understand the fundamentals of data analytics. The course utilises collaborative and informative learning techniques to prepare students for their professional careers.

This 18-month data analytics master’s programme combines contemporary applications and practical elements. The latest technology is used to enhance learning and collaborative working. Students work alongside research-active staff on latest research developments, while industry guest speakers and live briefs provide networking and development opportunities. This is embedded throughout the programme to enrich the creative and digitisation practice and significantly contribute to the experience at university and preparation for professional practice. The programme awards a master’s degree with 180 UK credits, equivalent to 90 ECTS.

Teaching takes place Monday to Saturdays, during morning, afternoon, or evening sessions.

The modules of this programme are offered and delivered 100% on campus. Students will also have additional access to course and reading materials via the University for the Creative Arts platform.

During the first three terms, the MSc Data Analytics programme will cover fundamental topics such database management, statistical analysis, predictive analytics and visualization. Students can also study the German language alongside their master’s degree. During the final term, students will research and prepare a dissertation on a topic of their choice.

All core modules carry 10 ECTS each, except for the Dissertation/Project, which carries 30 ECTS.

Term 1

• Fundamentals of Data Analytics
• Predictive Analytics and Machine Learning using Python

Term 2

• Enterprise Data Warehouse and Database Management Systems
• Big Data Analytics

Term 3

• Visualisation and Story Telling using Tableau
• Computer Vision and Artificial Intelligence

Term 4

• Dissertation

• Delivery: On campus 
• Duration: 18 months
• Campus: Berlin, Germany
• Degree awarded by University for the Creative Arts

The master of science (MSc) in data analytics programme aims to:

• 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 synthesise and examine critically the opportunities and threats posed by both globalisation, 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 while developing new ones.
• Prepare students for high-level autonomous graduate employment, research, further study and lifelong learning by developing intellectual, practical and transferable skills.

Research has shown that there is a growing demand for those with advanced skills in data analytics within the global job market. These jobs are becoming increasingly important amid the further digitisation of a post-pandemic world.

According to New Electronics, by 2025, around 75,000 million machines will be integrated into the Internet of Things (IoT) and the Industrial Internet of Things (IIoT). The leading market research institutes forecast annual growth of 31%. Due to this development, huge amounts of data are being generated worldwide, which must be evaluated and distributed reliably, quickly and securely. This creates great opportunities for those with the right knowledge and skillset. (newelectroncs.co.uk, 2021).

MSc Data Analytics graduates can pursue diverse career opportunities with the skills, knowledge and practical experience gained during the programme. Graduates from this programme can utilise BSBI’s Careers Service to explore global opportunities at leading companies worldwide.

Here are some popular data analytics careers after completion of the MSc degree:

• Data Scientist
• AI Scientist
• Customer Insights Analyst
• Quantitative Risk Analyst
• Market Risk Analyst
• Security Engineer

Minimum Age: 21

Academic Qualifications: 

• Successful completion of a bachelor’s degree from a recognised university.
• Consideration will also be given to applicants with minimum of three years of relevant work managerial experience, demonstrating an ability to study at postgraduate level.

Technical Entry Requirement:

You must own a personal laptop with the following hardware configuration 

1. i5 or above processor, and at least 8 GB RAM 
2. It must have Microsoft Office installed (any version).