Master in Business Analytics & Data Science

Postgraduate Entry Requirements

Application Fee: CHF 200

Academic Qualifications: Prospective postgraduate students usually need to hold a bachelor's degree or its equivalent from an accredited institution with a minimum academic achievement of 55% or above.

English Language Proficiency: 

• IELTS:  A minimum overall score of 6.5 with no individual component below 6.0.
• TOEFL: A minimum overall score of 89 is required.
• PTE: A minimum overall score of 59 is required.

Students must provide:

• academic marksheets & transcripts
• letters of recommendation
• a personal statement - SOP
• passport
• other supporting documents as required by the university.

It's important for international students to review the specific entry requirements for the program they are interested in, as requirements can vary between different programs and may change over time. Additionally, applicants should consider visa and immigration requirements for studying in Switzerland, which may include financial documentation and health insurance.

EU Business School Switzerland recognizes the importance of supporting international students in their pursuit of higher education. To assist students in achieving their academic and career goals, the institution typically offers a variety of scholarships and financial aid options. These scholarships may be merit-based, need-based, or specific to certain programs or qualifications.

Academic Excellence Scholarships: Academic excellence scholarships are typically awarded to international students who have demonstrated outstanding academic achievements in their previous studies. These scholarships are often based on GPA or academic performance. Eligibility criteria may vary by program and campus, but students generally need to have a strong academic record to qualify.

Merit-Based Scholarships: Merit-based scholarships are awarded to students who have excelled in various aspects of their academic or extracurricular activities. These scholarships recognize achievements in areas such as leadership, community service, entrepreneurship, or sports. Eligibility criteria for merit-based scholarships may differ based on the specific scholarship program, but students who have demonstrated exceptional skills and talents are often eligible.

Diversity Scholarships: Diversity scholarships aim to promote diversity and inclusion within the student body by providing financial support to students from underrepresented backgrounds or regions. Eligibility criteria for diversity scholarships may vary, but they often consider factors such as nationality, ethnicity, or socioeconomic background.

Program-Specific Scholarships: EU Business School Switzerland may offer scholarships tailored to specific programs or fields of study. For example, there may be scholarships available for students pursuing degrees in business, marketing, finance, or other disciplines. Eligibility criteria for program-specific scholarships depend on the program's requirements and the scholarship's focus.

Need-Based Financial Aid: In addition to scholarships, the institution may provide need-based financial aid to international students who demonstrate financial need. Need-based aid helps students cover tuition costs and other expenses. Eligibility for need-based financial aid is determined based on the applicant's financial circumstances, including income, assets, and family contributions.

Graduates of the Master in Business Analytics & Data Science program at EU Business School in Switzerland are well-equipped to pursue diverse and lucrative career paths in the rapidly growing field of data science and business analytics. 

Data Scientist: Data scientists are highly sought after in today's data-driven economy. Graduates of the Master in Business Analytics & Data Science program can pursue careers as data scientists, leveraging their expertise in statistical analysis, machine learning, and data mining to extract valuable insights from complex datasets. Data scientists work across various industries, including finance, healthcare, e-commerce, and technology, helping organizations make data-driven decisions and drive business growth.

Business Intelligence Analyst: Graduates can work as business intelligence analysts, responsible for analyzing data to provide actionable insights and strategic recommendations to business leaders. Business intelligence analysts develop dashboards, reports, and visualizations to monitor key performance indicators, track business performance, and identify areas for improvement. They work closely with stakeholders to translate data into actionable insights that drive operational efficiency and competitive advantage.

Data Engineer: Data engineers play a crucial role in building and maintaining data infrastructure and systems. Graduates can pursue careers as data engineers, designing data pipelines, integrating data from various sources, and optimizing data storage and retrieval processes. Data engineers also collaborate with data scientists and business analysts to ensure that data is accessible, reliable, and secure for analytical purposes.

Data Analyst: Data analysts are responsible for interpreting and analyzing data to uncover trends, patterns, and insights that inform business decision-making. Graduates can work as data analysts, performing exploratory data analysis, conducting statistical tests, and creating data visualizations to communicate findings to stakeholders. Data analysts play a key role in helping organizations understand customer behavior, optimize marketing strategies, and improve operational processes.

Predictive Modeler: Predictive modelers develop mathematical models and algorithms to predict future outcomes based on historical data. Graduates can pursue careers as predictive modelers, building predictive models for risk assessment, demand forecasting, customer segmentation, and other business applications. Predictive modelers use techniques such as regression analysis, machine learning, and time series analysis to develop accurate and actionable predictions that drive business strategy and decision-making.

Big Data Consultant: As organizations increasingly rely on big data to gain competitive advantage, the demand for big data consultants is on the rise. Graduates can work as big data consultants, helping organizations harness the power of big data technologies and platforms to extract value from large and complex datasets. Big data consultants advise clients on data strategy, architecture, and implementation, enabling them to derive actionable insights and drive innovation through data-driven initiatives.