Dual Master's Programs in Marketing & Data Analytics
Completion of dual master's degree programs in marketing and data analytics usually results in 2 Master of Science degrees. Explore degree and admission information for these dual degree programs, as well as common coursework.
Degree Information for Dual Master's Degree Programs in Marketing and Data Analytics
Dual master's degree programs in marketing and data analytics are designed to allow students to complete both degree programs (usually a Master of Science (MS) in Marketing and an MS in Analytics or Business Analytics) in 2 years, including summers, which is faster than taking each degree program separately. These programs can be completed faster as some courses are allowed to count towards both degrees, but still usually include many of the same requirements, such as consulting projects and/or internship experiences, that each program has separately. Coursework is typically divided fairly evenly across topics in marketing and analytics and may cover some of the more common topics discussed further here.
Students in these dual degree programs generally take at least 1 course in statistics, but some of these courses may focus on the statistics used in analytics, while others may focus on the statistics used for managers. While there may be some overlap for these courses, courses that focus on statistics for analytics may discuss topics in probability, linear algebra, and mathematical statistical theory with greater exploration of topics like efficiency, central limit theorem, and hypothesis testing. Courses that are designed to equip students with the statistics needed for management positions may focus on data analysis and help train students to apply statistical tools to real problems. These courses for managers may include topics in regression, sampling distribution, and descriptive statistics.
Students in these dual master's degree programs typically take a course in marketing research that helps train students to use data to make informed decisions. These courses commonly use hands-on projects and assignments to give students real experience working with readings and marketing research and help them further develop communication and analytical skills. Specific topics for courses in marketing research may include methods of gathering, evaluating, converting, and analyzing data.
With the growing global market, it is common for these dual degree programs to include a course in international marketing that explores marketing strategies for global markets. Most of these courses provide students with an overview of the various economic, socio-cultural, and geopolitical influences on foreign markets. Other topics in international marketing courses may include promotion strategies, pricing, marketing planning, multinational corporations, and distribution.
Courses in product management or product strategy are generally designed to help students learn how to plan and manage new products. These courses discuss strategies for product growth, analyzing the market with market research and market models, and determining pricing. Other specific topics may include test marketing, advertising testing, concept evaluation, portfolio management, and brand equity.
Generally, students in these dual degree programs will take multiple courses in different areas of analytics, but these courses vary by school in the course title and focus. For example, depending on the program, students may be able to choose from courses in topics like big data analytics, machine learning for analytics, programming for analytics, or regression model for analytics. In general, these courses are data-focused classes that often give students the chance for hands-on learning with current data analysis software used in the field. These courses aim to help students further develop their analytic thinking skills and learn how to analyze and interpret large data sets.
Admittance Requirements for Dual Master's Degree Programs in Marketing and Data Analytics
Admission for dual master's degree programs commonly requires applicants to meet the admissions requirements for each degree program separately, which usually means applying to each degree program individually and indicating interest in the dual degree option. Requirements vary by institution and program, but most programs require applicants to hold a bachelor's degree and some of these programs may require applicants to meet a specific minimum GPA, such as a 3.0 on their undergraduate coursework. Most of these master's degree programs require applicants to include their GRE or GMAT test scores, but some programs may not require students to submit test scores if they meet specific requirements, such as holding an advanced degree. It is fairly common for both master's degree programs in marketing and analytics to require applicants to include their transcripts, letters of recommendation, statement of purpose, and/or resume with their application. Some schools may also require a short video interview as a part of their online application process.
Dual master's degree programs in the fields of marketing and data analytics can be completed in 2 years and award graduates with 2 master's degrees. Applicants to these programs generally need to apply to both degree programs separately, but once admitted take various courses that overlap in both marketing and analytics.