Master of Science in International Business Administration - Data Analytics (Dual degree with Tiffin University)

La Tour-de-Peilz Switzerland

 

INTAKE: Jan, April & Sept

Program Overview

The American Institute of Applied Sciences (AIAS) in Switzerland offers an advanced Master of Science in International Business Administration program with a specialization in Data Analytics, in collaboration with Tiffin University. This program is designed to prepare students for careers in the rapidly evolving field of data analytics, providing them with the knowledge and skills needed to harness the power of data to drive strategic decision-making in international business environments. Situated in Switzerland, a global center for finance and innovation, AIAS provides an ideal environment for students to study data analytics in an international context.

Curriculum: The curriculum of the Master of Science in International Business Administration - Data Analytics program at AIAS is interdisciplinary, combining business administration principles with advanced coursework in data analytics, statistics, machine learning, and data visualization. Courses cover topics such as data mining, predictive analytics, data-driven decision-making, big data technologies, and business intelligence. Students also have the opportunity to gain hands-on experience with data analytics tools and technologies through practical projects and case studies.

Research Focus: AIAS emphasizes research in the field of data analytics. Faculty members are actively engaged in research projects exploring various aspects of data analytics, such as predictive modeling, customer segmentation, sentiment analysis, and data-driven innovation. Students have the opportunity to participate in research initiatives, gaining valuable insights into emerging trends and best practices in the field of data analytics.

Industry Engagement: The Master of Science in International Business Administration - Data Analytics program at AIAS fosters strong connections with the business community through partnerships with leading companies, data analytics firms, and technology providers. Students benefit from guest lectures, industry projects, networking events, and internships, gaining firsthand experience and building professional networks within the data analytics industry. These industry engagements provide students with practical skills and industry insights that enhance their competitiveness in the job market.

Global Perspective: With its international perspective, AIAS offers students a global understanding of data analytics. The program exposes students to diverse data sources, analytical techniques, and business applications from around the world. Through international case studies, guest lectures from industry experts, and multicultural classroom environments, students have the opportunity to gain cross-cultural experiences and expand their global network, preparing them for careers in multinational corporations, consulting firms, and international organizations.

Pollster Education

Location

La Tour-de-Peilz Switzerland

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

CHf 25000

Postgraduate Entry Requirements

Application Fee: CHF 250

Academic Qualifications: Applicants should have completed a relevant bachelor's degree or its equivalent with a minimum academic achievement of 50% or above. The bachelor's degree should be from an accredited institution.

English Language Proficiency:

  • IELTS: A minimum overall score of 6.5 with no individual component below 6.0.

Students must provide:

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

It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.

AIAS recognizes the importance of making quality education accessible to students from diverse backgrounds and is committed to providing scholarship opportunities for international students. These scholarships are designed to recognize academic excellence, leadership potential, and contributions to the community. 

Merit-Based Scholarships: AIAS offers merit-based scholarships to international students who demonstrate exceptional academic achievements. These scholarships may cover partial or full tuition fees and are awarded based on academic performance, standardized test scores, and other criteria.

Need-Based Scholarships: In addition to merit-based scholarships, AIAS provides need-based financial aid to international students who demonstrate financial need. These scholarships aim to support students who require assistance to afford the cost of tuition and living expenses. Eligibility for need-based scholarships is determined through a thorough evaluation of the student's financial circumstances.

Diversity Scholarships: AIAS values diversity and seeks to foster an inclusive learning environment. To promote diversity and inclusion, the institute offers scholarships to international students from underrepresented backgrounds, including ethnic minorities, LGBTQ+ individuals, and students with disabilities. These scholarships aim to enhance diversity within the student body and celebrate the unique perspectives and contributions of all students.

Leadership Scholarships: AIAS recognizes the importance of leadership skills in shaping future leaders and change-makers. The institute offers leadership scholarships to international students who have demonstrated exceptional leadership qualities and a commitment to making a positive impact in their communities. These scholarships may be awarded based on leadership experience, community service, and extracurricular involvement.

Research Scholarships: AIAS encourages research and innovation among its international student community. The institute offers research scholarships to students pursuing advanced studies or engaging in research projects in applied sciences fields. These scholarships provide financial support for research-related expenses, including laboratory equipment, materials, and travel costs.

Country-Specific Scholarships: AIAS may offer scholarships specifically tailored to students from certain countries or regions. These scholarships aim to attract talented students from diverse geographic backgrounds and promote international exchange and collaboration. Eligibility criteria and application processes for country-specific scholarships may vary.

Graduates of the Master of Science in International Business Administration - Data Analytics program at the American Institute of Applied Sciences (AIAS) in Switzerland have diverse and promising career opportunities in the rapidly growing field of data analytics. With specialized skills in data analysis, statistics, and business intelligence, AIAS alumni are well-equipped to pursue roles in a variety of industries and sectors where data-driven decision-making is essential.

Data Scientist: Graduates may pursue careers as data scientists, responsible for collecting, analyzing, and interpreting large datasets to extract actionable insights and drive strategic decision-making. They develop predictive models, conduct statistical analyses, and communicate findings to stakeholders to support business objectives.

Business Intelligence Analyst: Graduates can work as business intelligence analysts, responsible for transforming data into actionable intelligence to inform business strategies and improve operational efficiency. They design and develop data visualizations, dashboards, and reports to facilitate data-driven decision-making across the organization.

Data Analyst: Graduates may pursue careers as data analysts, responsible for analyzing and interpreting data to identify trends, patterns, and opportunities for optimization. They conduct exploratory data analysis, perform data cleaning and transformation, and generate reports and presentations to support business initiatives.

Data Engineer: Graduates with strong technical skills may work as data engineers, responsible for designing, building, and maintaining data pipelines and infrastructure to support data analytics initiatives. They develop data integration solutions, optimize data storage and retrieval processes, and ensure data quality and reliability.

Machine Learning Engineer: Graduates interested in machine learning may pursue careers as machine learning engineers, responsible for developing and implementing machine learning models and algorithms to solve business problems. They design experiments, train models, and deploy solutions to automate processes and improve decision-making.

Data Visualization Specialist: Graduates with expertise in data visualization may work as data visualization specialists, responsible for creating compelling visualizations and interactive dashboards to communicate complex data insights effectively. They design intuitive user interfaces and interactive data displays to facilitate understanding and decision-making.

Business Analyst: Graduates may pursue careers as business analysts, responsible for analyzing business processes, identifying opportunities for improvement, and recommending solutions based on data-driven insights. They collaborate with stakeholders to define requirements, prioritize initiatives, and measure outcomes to drive business performance.

Marketing Analyst: Graduates interested in marketing may work as marketing analysts, responsible for analyzing marketing campaigns, customer behavior, and market trends to inform marketing strategies and optimize campaign performance. They conduct market segmentation, attribution analysis, and ROI measurement to drive marketing effectiveness.

Financial Analyst: Graduates with expertise in finance may work as financial analysts, responsible for analyzing financial data, performing valuation, and providing insights to support investment decisions and financial planning. They conduct financial modeling, risk analysis, and scenario planning to optimize financial performance.

Consultant: Graduates may work as data analytics consultants, providing advisory services to businesses seeking to leverage data analytics to drive growth and innovation. They assess business needs, develop data-driven strategies, and implement solutions to solve complex business problems and achieve strategic objectives.


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