MSc Big Data & Business Analytics
FOM Hochschule - University of Applied Sciences for Economics and Management in Germany...
Essen
INTAKE: Jan & April
FOM Hochschule - University of Applied Sciences for Economics and Management in Germany offers a Master of Science (MSc) program in Big Data & Business Analytics. The program is designed to equip students with comprehensive knowledge and skills in utilizing big data analysis for informed decision-making in the business domain. It encompasses theoretical foundations, practical applications, and the latest technologies related to handling vast volumes of data.
Curriculum: The MSc in Big Data & Business Analytics curriculum covers a range of subjects including data mining, predictive analytics, machine learning, data visualization, and database management. It combines theoretical teachings with practical projects, case studies, and software training, enabling students to develop proficiency in analyzing complex datasets and deriving actionable insights.
Research Focus: The program emphasizes a research-oriented approach, allowing students to explore advanced analytics techniques, data-driven decision-making methodologies, and emerging trends in big data technologies. Students have opportunities to conduct research projects, applying analytical tools to solve real-world business challenges.
Industry Engagement: FOM Hochschule emphasizes industry connections, providing students with exposure to real-world applications of big data analytics. The program includes collaborations with industry partners, guest lectures by industry experts, internships, and practical projects, allowing students to gain hands-on experience and insights into industry practices.
Global Perspective: Acknowledging the global relevance of big data analytics, the curriculum integrates a global perspective by exploring international case studies, diverse industry practices worldwide, and the impact of global markets on data-driven decision-making processes.
Essen
IELTS 6.5
Euro 11275
FOM Hochschule - University of Applied Sciences for Economics and Management sets clear and transparent entry requirements for international students, ensuring a fair and accessible admissions process.
Academic Qualifications: Prospective international students applying postgraduate programs are typically required to have attained a minimum academic score of 60% or above in their previous educational qualifications. This criterion serves as a benchmark for assessing a student's academic capability for admission consideration.
English Language Proficiency:
FOM Hochschule acknowledges the importance of attracting diverse talent and therefore offers several scholarship opportunities to international students. These scholarships aim to support exceptional students who demonstrate academic excellence, leadership potential, and a strong their field of study.
Merit-Based Scholarships: These are awarded to students with outstanding academic records or achievements in their previous studies. Recipients are usually selected based on their GPA or equivalent academic performance indicators.
Need-Based Scholarships: Aimed at supporting students who might face financial constraints in pursuing higher education. These scholarships consider the applicant's financial situation and academic potential.
Specific Program Scholarships: Some scholarships are tailored for particular programs or fields of study within the university. These could be industry-sponsored scholarships or those focusing on certain disciplines.
International Exchange Scholarships: Designed for students participating in exchange programs, encouraging cultural diversity and international cooperation.
Graduates of the MSc in Big Data & Business Analytics program have diverse career pathways in data-driven industries.
Data Analyst/Scientist: Graduates can pursue careers as data analysts or data scientists, utilizing analytical tools and techniques to extract insights from large datasets.
Business Intelligence Analyst: Roles in business intelligence involve analyzing data to support strategic decision-making processes within organizations.
Data Engineer/Architect: Graduates may work as data engineers or architects, designing and managing data infrastructures for efficient data storage and retrieval.
Machine Learning Specialist: Careers in machine learning involve developing algorithms and models to automate data analysis and prediction processes.
Consultant in Analytics Solutions: Graduates can work as consultants, providing expertise in implementing analytics solutions for businesses across various industries.
Financial Analyst/Market Researcher: Roles in financial analysis or market research involve using data analytics to derive insights for investment decisions or market strategies.