Master of Science in Marketing Analytics

Curriculum

Curriculum

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Marketing, Technology, Data & Analytics

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In this 22-month program, MSMA students are required to complete a total of 45 credit hours, consisting of 21 credits for core and 24 credits for electives. For regular MSMA students, nine credits must be obtained through taking International Immersion (3 credits), Internship (3 credits), and Capstone Project (3 credits). To further enhance student competencies and provide more job opportunities, Mandatory Extracurricular Activity: Guided Personal Learning will be a requirement to graduate from this program.

FIRST YEAR SECOND YEAR
FALL WINTER SPRING SUMMER FALL WINTER SPRING
CREDITS 9 3 9 3 9 3 9
CORE Statistical Analysis Field Study in korea Marketing Management
Computer Programming with R Marketing Research
Regression Analysis with R for Business Marketing Analytics
ELECTIVES International Immersion* Electives
(9 ~ 10 Credits)		 Internship* Capstone Project*
Electives (5 ~ Credits)
EXTRACURRICULAR Mandatory Extracurricular Activity: Guided Personal Learning
　 50% Statistics and Programming 50% Marketing and Analytics

* Required Courses (graduation requirement for regular students).

Core Courses

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Core Courses Credits
Computer Programming with R ▼
This course introduces the basics of computer programming R language. Topics include programming with R using data types, algorithms, object-oriented analysis and design. The course also takes up various programming techniques such as design, implementation, testing, trouble shooting and documentation
3
Regression Analysis with R for Business ▼
As most research in social sciences is aimed at quantifying relationships among variables that either measure the outcome of some process or are likely to affect the process, where the process in question could be any economic, business, or management process of interest to the social scientist. The quantification of the process may be as simple as determining the degree of association or as complicated as estimating the parameters of a detailed nonlinear system.
Regardless of the complexity of the model, the most powerful and widely used statistical method for estimating the parameters of interest is the method of least squares.
Researchers choose the most appropriate model for the project at hand, the parameters of the model are then estimated such that model predictions and the observed data are in as good agreement as possible as measured by the least squares criterion, minimization of the sum of squared differences between the predicted and the observed points.
In Applied Regression Analysis with R, we will learn what is and how to use regression by analyzing a variety of real world problem. Heavy emphasis will be placed on analysis of actual datasets. Topics covered include: review of probability and statistics; simple linear regression (SLR); multiple linear regression (MLR); inference; dummy ariables; asymptotics; further issues on MLR; heteroskedasticity; specification and data problems; limited dependent variables; time series; instrumental variables (IV) and two-stage least squares (2SLS) (optional); simultaneous equations (optional); panel data (optional).
3
Computer Programming with Python ▼
This course deals with applications of Python programming language to business problems. Topics include how to get started with Python, numbers and strings, loops, functions, lists, data files, summarizing and visualizing data, and big data applications.
3
Marketing Management ▼
The course introduces marketing management theories and concepts involving in the analysis of marketing environment, planning and implementation of marketing programs (product, price, place and promotion) and marketing strategies to attract, satisfy, and retain customers. The course enables students to develop marketing strategies and framework with moral, socially responsible and ethical consideration.
3
Marketing Research ▼
This unit provides a rigorous experience in market research methods and frameworks to guide when which technique is most useful. The course is aimed at individuals whose decision-making is enhanced through marketing research, which transforms “data” into “information.” The unit will introduce types of research, techniques of data collection, evaluation of alternative sources of information, methods for analyzing data and presenting the results
3
Marketing Analytics ▼
The primary objective of this course is to provide students with foundational knowledge and a basic skill set required for a market analyst. This course objective is aligned mainly with “Creative Management Foundation”, one of the SolBridge’s five mission-based goals. It is also supplemented by a variety of real-world examples used in class lectures.
3
Field Study in Korea ▼
This course focuses on developing our students’ Global Perspective and Korean Expertise. Students must be aware of the impact of Korean Culture on managing in and across various business types and segments in the Korean Market. During this course, students will visit business sites to gain real experiences and try to solve business issues guided by hosting companies.
3

Elective Courses

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For detailed information about the elective courses, download this course description file.pdf

Technology Electives Credits Other Electives Credits
International Immersion 3 Master’s Thesis 3
Capstone Project 3 Data Analytics for Business 3
Internship 3 Statistical Analysis 3
Database Marketing 3 Project Management 3
Social Media and Digital Marketing 3 Consumer Behavior and Decision Making 3
Pricing Analytics 3 Marketing Strategy 2
Data Analytics for Business 3 Marketing Communications and Advertising 2
Managerial Skills 3 International Marketing 2
Business Communication 3 Special Topics in Marketing 2
International Business in Asia 3 Investment Analysis 3
Management Information Systems 3 Mergers & Acquisitions 3
Doing Business in Korea 3 Corporate Finance 3
Doing Business in China 3 Financial Markets and Institutions 3
Cybersecurity 2 Financial Derivatives 3
Digital Business & Innovation 2 Special Topic In Finance 3
Tech Entrepreneurship & Product Development 2 Accounting & Decision Making 3
Database Management 2 Business Communication 3
Software Engineering 2 Business Economics 3
Strategy for Tech 2
Exploratory Data Analysis and Visualization 2
Statistical Modeling and Inference 2
Introduction to Machine Learning 2

Graduation Requirements

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  • Curricular: 45 credits (21 for core, 24 for electives—at least 9 for tech electives), International immersion, Internship, Capstone Project
  • Non-curricular: First-year seminar, Business ethics, Mandatory Extracurricular Activity: Guided Personal Learning

    The MSMA program's main objective is to nurture professional marketing analysts with statistical, programming, and analytical skills to make data-driven decisions. To achieve this goal, students are required to participate in mandatory extracurricular activities that complement the program curriculum and further enhance their competencies. The required extracurricular activities mainly refer to taking completely free online courses in statistics, programming, data analytics, and marketing from Coursera, EdX, Udemy, etc.

    The required time to spend on the extracurricular activity is approximately 135 hours, which should be completed by the end of the second Winter semester, i.e., the end of the 18th month since their entry into the MSMA program. Therefore, students must spend approximately 45 hours on these extracurricular activities every six months after they start the program.

    To validate the mandatory extracurricular activities, the students must:

    • Submit a detailed proposal on the free online course titles, webpages, main contents, instructors/institutions, and officially estimated hours at the beginning of the 1st, 7th, and 13th month, respectively, to the MSMA program director.
    • Schedule a meeting with the MSMA program director and get the approvals from the director.
    • Submit a detailed report about the learning process and outcomes with document proof (certificates or screenshots of estimated hours, progress, and grades if possible) to the program director at the end of the 6th, 12th, and 18th month, respectively.
    • Schedule a meeting with the MSMA program director and get the final confirmation from the director.

    Possible completely free online courses from Coursera include but not limited to:

    • R Programming (Johns Hopkins University, approximately 59 hours)
    • Quantitative Research (Rice University, about 32 hours)
    • Linear Regression for Business Statistics (Rice University, approximately 32 hours)
    • Research Design: Inquiry and Discovery (the University of North Texas, approximately 10 hours)
    • Introduction to Probability and Data with R (Duke University, about 16 hours)


    If you choose to take (1), (2), (3), and (5) sequentially, the total amount of time would be approximately 139 hours, which satisfies the requirement of the program.
    Alternatively, if students want to find a job in Korea and need to enhance their Korean language capabilities, they can choose to study Korean language classes. Please note that if students choose this option, they will go through an initial test early in their first semester together with the MIMT program students and will be classified according to their Korean language skills. The Korean Language classes will be available from Beginner to Advanced level to better accommodate each student's proficiency. Students need to either obtain a minimum of TOPIK 4 score or spend approximately 400 hours within 22 months on taking Korean language classes at SolBridge International School of Business. The equivalency and validity of Korean language classes taken and activities reported will be decided by the MSMA program director and SolBridge's administration.

    Please note that one student can either choose to take mandatory extracurricular activities (approximately 135 hours in 18 months) or decide to take Korean language classes (about 400 hours within 22 months or a minimum score of TOPIK 4). One student cannot mix these two different choices.

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