Digital Marketing Master's Program (without Thesis) ** (M.A, 1 - 1.5 Years)

To further disseminate and develop the knowledge and skills in the essential aspects of marketing management, marketing strategy, and emerging New Economy marketing applications, with a focus on the development and execution of programs, audits, and plans. This course is concerned with the development, evaluation, and implementation of marketing management in complex environments. The course deals primarily with an in-depth analysis of a variety of concepts, theories, facts, analytical procedures, techniques, and models.

This course is designed to provide the participants with an understanding of statistics to enable them to use it appropriately in managing a business. The emphasis in the course is not only on giving the student a theoretical knowledge, but also on helping them develop a logical, sequential, data-based approach to problem solving, and decision making, in business situations.

Strategic management is an integrative capstone course – the only course that challenges students to study and experience sets of multifunctional problems and decision-making choices that face top management. The course will allow students to bring together all of their learned functional skills (i.e., accounting, finance, marketing, management etc.) and use them to study organizational problems within the context of real-world business problems.

The purpose of this course is to teach students with basic knowledge of statistics to analyze data using a popular statistical software package. Students will gain sufficient acquaintance with SPSS to conduct data analyses, estimate population parameters, fit basic linear models and conduct hypotheses tests on experimental data. Many forms of data management and analyzes including data entry, auditing, imputation, coding, recoding, descriptive analyzes, t-test, ANOVA, regression, correlation, reliability analysis and data transformation will also be covered. By the end of the course, students should be able to conduct an analysis of data generated in a survey or experiment and give a presentation of the results of the analysis.