MSc in Data Analytics (University for the Creative Arts)

BSBI sets clear and transparent entry requirements for international students, ensuring a fair and accessible admissions process. 

• Academic Qualifications: Prospective postgraduate students are required to hold a bachelor's degree or its equivalent from a recognized institution. The minimum academic requirement is a cumulative grade point average (CGPA) of 60% or above in their previous academic qualifications.

• English Language Proficiency:

  IELTS Requirements: An overall IELTS score of 6 is mandatory for admission to postgraduate programs at BSBI. Additionally, there should be no individual band score less than 5.5 in the IELTS test.
  
  TOEFL iBT Requirements: For applicants opting for TOEFL, the minimum overall score required is 72

Scholarships for International Students at Berlin School of Business and Innovation (BSBI), Germany.

• Merit-Based Scholarships: Recognizing exceptional academic achievements, these scholarships aim to reward and encourage high-performing international students.
• Need-Based Scholarships: Geared towards supporting students facing financial constraints, these scholarships ensure inclusivity and accessibility to quality education.
• Entrepreneurship Scholarships: Supporting aspiring entrepreneurs, these scholarships nurture innovation and business development among students with visionary goals.
• Regional Scholarships: Enhancing cultural diversity, these scholarships target students from specific regions, fostering a global and inclusive learning environment.
• Research and Academic Excellence Scholarships: Acknowledging outstanding academic performance and research contributions, these scholarships encourage students to excel in their scholarly pursuits.
• Scholarship Committee: A dedicated committee oversees the selection process, considering factors such as academic achievements, financial need, and alignment with BSBI's values.

Graduates from the MSc in Data Analytics program at Berlin School of Business and Innovation (BSBI), in partnership with the University for the Creative Arts, possess a diverse skill set that opens up various career pathways in the rapidly growing field of data analytics.

Data Analyst/Scientist: Roles as data analysts or data scientists involve analyzing complex data sets, interpreting data, and deriving actionable insights to drive business decisions and strategies.

Business Intelligence Analyst: Career prospects include positions as business intelligence analysts, focusing on gathering, analyzing, and presenting complex data to aid in decision-making processes within organizations.

Data Engineer: Opportunities exist as data engineers, responsible for constructing, testing, and maintaining architectures for data generation, storage, and usage.

Data Mining Specialist: Graduates can pursue roles as data mining specialists, utilizing advanced techniques to uncover patterns and trends within large datasets for business insights.

Machine Learning Engineer: Career paths include positions as machine learning engineers, focusing on designing and developing machine learning models and algorithms to automate predictive analytics.

Big Data Consultant: Roles as big data consultants involve advising organizations on handling large volumes of data, implementing big data technologies, and leveraging data for strategic purposes.

Predictive Analytics Manager: Opportunities exist as predictive analytics managers, leading teams to develop predictive models that forecast future trends and behaviors based on historical data.

Chief Data Officer: With experience and expertise, graduates may aspire to become Chief Data Officers, overseeing an organization's data strategy and ensuring data governance and compliance.