February, 2026
From March, 2025 to November, 2025
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.
1. Bachelor Certificate
2. Bachelor Transcript
3. English proficiency Letter from University
4. Statement of Purpose
5. Passport
6. Recommendation Letter
7. CV
8. WASSCE/A level Certificate
The Berlin School of Business and Innovation will accept, for the purposes of meeting the English proficiency requirement, English taken in 12-year education, or English is designated as the primary and official language and the principle language of instruction. If you do not meet the English language requirements yet, you can achieve the level you need by successfully completing a pre-sessional English programme with the university or submit
1. English language proficiency at a minimum of IELTS band 6.5 (or equivalent) or PTE Score or Duolingo English Test score before you start your course.
From March, 2025 to November, 2025
From April, 2025 to February, 2026
From March, 2026 to November, 2026
From November, 2025 to July, 2026