The 18-month MSc data analytics is a postgraduate programme in the field of data analytics at BSBI’s Berlin Campus, offering modules rich in programming, statistics, and data science. The course provides students with key knowledge to pursue Data Analytics careers and provide them with the skills in programming and data analytics and confidence required to pursue their entrepreneurial dreams.The MSc Data Analytics programme has been selected by BSBI among many prestigious international programmes offered by University for the Creative Arts. 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 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.
Career Path
Graduate career path includes Data Analyst, Data Scientist, Business Intelligence Analyst, Data Engineer, Statistical Analyst, Machine Learning Engineer, Quantitative Analyst, Operations Research Analyst, Data Visualization Specialist, Big Data Engineer, Database Administrator, Predictive Analytics Specialist, Risk Analyst, Supply Chain Data Analyst, Marketing Analyst, Financial Data Analyst. Healthcare Data Analyst, Fraud Analyst, Customer Insights Analyst, Product Data Analyst, Cloud Data Engineer, AI/Data Analytics Consultant, Business Analytics Manager, Data Governance Specialist, Data Quality Manager, HR Analytics Specialist, Data Architect, Retail & E‑commerce Data Analyst, Energy & Utilities Data Analyst, Research Data Specialist, Reporting Analyst Sports Data Analyst, Public Health Data Analyst.
International Students can work part time for up to 20 hours per week and full time during academic breaks. Graduates from a German university can stay in Germany for up to 18 months with a job.
We’ve simplified the admission process to help you get started quickly and easily. You can find all requirements for admission to Berlin School of Business and Innovation below;
1. Bachelor Degree and Transcript
2. Passport
3. Recommendation Letter
4. English Language Proficiency Letter
5. WASSCE/ A-Level Certificate
6. Statement of Purpose
7. CV
Berlin School of Business and Innovation will accept, for the purposes of meeting the English proficiency requirement, evidence of English study within a 12 year education system where English is designated as the primary and official language and the principal language of instruction. For applicants who do not yet meet the English language requirement, there are two pathways to achieve the necessary level:
Pre sessional English Programme; Students may successfully complete a preparatory English programme offered by the university before beginning their academic course. Recognized English Proficiency Tests; Students may submit one of the following minimum scores prior to the start of their program: IELTS: 6.5 overall band score (or equivalent), TOEFL or PTE: Score of 60, Duolingo English Test: Score of 120.
