Master of Science in International Business Administration with Specialization in Data Analytics

Program Overview

Master’s Degree in Business Administration: Data Analytics specialization

Description

The Tiffin University MBA degree with a specialization in Data Analytics will help you not only analyze data but understand it, translate it and incorporate it into strategy at the top levels of your organization. The Data Analytics specialization focuses on the development of adept decision-making related to statistics, accounting, economics, finance, computer information, policy, ethics, law, globalization and marketing.

The program’s highly robust curriculum includes topics such as: data acquisition, management of data, use of statistical software to produce intelligent outcomes, knowledge of concepts that advance the understanding of “what and why to do” and data visualization and presentation. The program is designed with the idea of starting with a research question, gathering secondary data from various public resources, cleansing and preparing the data for analysis, proceeding through the analysis and ending with the communication of the results using various visualization techniques.

The Data Analytics specialization develops managerial competencies related to statistics, accounting, economics, finance, computer information, policy, ethics, law, globalization, and marketing. This specialization focuses on self-actualization of a higher learning level and provides specialized training for a technological business environment.

Format

• To earn an MBA degree from Tiffin University, students must complete the core curriculum and one specialization.
• TU specialization courses - 12 credits hours / 16 ECTS.
• The specialization courses are offered exclusively online.

Specialization Courses

• Database Design and Data Modeling: This course will investigate principles and practices of database management and design. Students will compare and contrast relational database design, normalization, SQL queries, reports and other interfaces to database data, and documentation. Examination of public sources of data will lead to the practice of applying data sources in real-world examples. This course will utilize spreadsheet (i.e. Microsoft Excel) and database (i.e. Microsoft Access) technology currently used in organizations by applying functions in key field areas such as pivot tables, charts, queries, reports, macros, data load utilities, records and modules.
• Applied Statistics for Data Analytics: This course will explore techniques to analyze data, produce graphical illustrations and draw conclusions using statistical, data analysis and visualization software packages. Focusing on the central tendency, data exploration and analytics, probability distributions and random variables, students will compare and contrast the basics of statistical inference, testing hypothesis and building confidence intervals, correlation and causation, and simple and multiple regression analysis.
• Advanced Data Analysis Techniques: This course prepares students to analyze data using advanced data analysis software and techniques to make decisions on data. Topics include Multivariable Regression, Non-Linear Regression, ANOVA, Cluster and Factor Analysis and Logistics Regression.
• Data Visualization, Design and Presentation: This specialization capstone course will synthesize the previous learning outcomes in the Data Analytics Concentration to compose and construct a final project demonstrating application of data presentation and design. The design of the final project will focus on visualizing data analysis in real-world applications by combining techniques of data modeling and data analytics; data processing; mapping data attributes to graphical attributes; and, constructing strategic visual encoding based on known properties of visual perception. Additionally, students will justify the effectiveness of visualization designs and critical thinking necessary in design decisions. Students will create their own data visualizations, and learn to use visualization tools and software.

Career Opportunities

• Architectural Manager
• Auditor
• Chief Executive
• Compliance Consultant
• Computer Systems Analyst
• Credit Services Specialist
• Data Engineer
• Engineering Manager
• Financial Analyst
• General Manager
• Human Resource Manager
• Marketing Quality Assurance Analyst
• Operations Center Analyst
• Operations Manager
• Postsecondary Teacher
• Research Analyst
• Underwriter Support Analyst
• Valuation Analyst

Tuition & Fees

• Application Fee: CHF 250.-
• Admission Fee: CHF 1'500.-
• Master Dual Degrees: 3 Terms per year, Degree Duration: 2 Years
• Book and tech fees are invoiced separately per course
• CHF 8’350.- per term
• Fees per year: CHF 25’000.- per year

Accreditation and Recognition

The American Institute of Applied Sciences in Switzerland has been ranked in the 2025 QS World University Rankings. The Master’s Degrees are ranked in the Top 2 in Switzerland and Top 200 Globally within the Business Masters Category.

Program Outline

Degree Overview:

The Master’s Degree in Business Administration with a specialization in Data Analytics is a dual degree program offered by the American Institute of Applied Sciences in Switzerland and Tiffin University. The specialization focuses on developing adept decision-making skills related to various business disciplines, including statistics, accounting, economics, finance, computer information systems, policy, ethics, law, globalization, and marketing. The curriculum emphasizes a practical approach, starting with a research question, gathering data from public resources, data cleansing and preparation, analysis, and finally, communicating results through visualization techniques. The program fosters self-actualization at a higher learning level and provides specialized training for a technological business environment. The Data Analytics specialization comprises 12 credit hours/16 ECTS and is offered exclusively online. Specific courses within the specialization include:

• Database Design and Data Modeling:
This course covers principles and practices of database management and design, comparing relational database design, normalization, SQL queries, reports, and other database interfaces. Students will examine public data sources and apply them to real-world examples using spreadsheet (Microsoft Excel) and database (Microsoft Access) technologies, including pivot tables, charts, queries, reports, macros, data load utilities, records, and modules.
• Applied Statistics for Data Analytics:
This course focuses on data analysis techniques, graphical illustrations, and drawing conclusions using statistical and data visualization software. Topics include central tendency, data exploration and analytics, probability distributions, random variables, statistical inference, hypothesis testing, confidence intervals, correlation and causation, and simple and multiple regression analysis.
• Advanced Data Analysis Techniques:
This course prepares students to analyze data using advanced software and techniques for decision-making. Topics include multivariable regression, non-linear regression, ANOVA, cluster and factor analysis, and logistic regression.
• Data Visualization, Design, and Presentation:
This capstone course synthesizes previous learning, culminating in a final project demonstrating data presentation and design in real-world applications. The project will focus on visualizing data analysis by combining data modeling and analytics techniques; data processing; mapping data attributes to graphical attributes; and constructing strategic visual encoding based on visual perception properties.

Teaching:

The text mentions that the specialization courses are offered exclusively online.

Careers:

Potential career paths after completing the program, according to the U.S. Bureau of Labor Statistics, include: Architectural Manager, Auditor, Chief Executive, Compliance Consultant, Computer Systems Analyst, Credit Services Specialist, Data Engineer, Engineering Manager, Financial Analyst, General Manager, Human Resource Manager, Marketing Quality Assurance Analyst, Operations Center Analyst, Operations Manager, Postsecondary Teacher, Research Analyst, Underwriter Support Analyst, and Valuation Analyst.

Other:

The American Institute of Applied Sciences in Switzerland is ranked in the 2025 QS World University Rankings. The Master’s Degrees are ranked in the Top 2 in Switzerland and Top 200 Globally within the Business Masters Category. The program is a 2-year program with 3 terms per year. The cost is CHF 8’350.- per term, or CHF 25’000.- per year. Book and tech fees are invoiced separately per course.

Tuition & Fees Application Fee : CHF 250.- Admission Fee: CHF 1'500.- Master Dual Degrees 3 Terms per yearDegree Duration: 2 Years Book and tech fees are invoiced separately per course CHF ㅤ8’350.- per term Fees per year Master Dual Degrees CHF 25’000.- per year