SKK GSB에서는 커리어 특화된 4개의 트랙(AI & Business Analytics, Finance, Marketing) 중에서 선택하여 그에 맞는 선택과목들을 수강함으로써 여러분의 MBA 경험을 자유롭게 맞춤 설계할 수 있습니다.
SKK GSB의 MBA 트랙을 선택함으로써 여러분은 미래의 고용주에게 특정 분야에 대한 심층 지식과 이와 관련된 애널리틱스 툴을 활용한 분석 기술을 겸비한 핵심 인재임을 시사할 수 있습니다. 트랙 이수 과정은 자유 선택 사항이며, 학위 요구 사항은 아닙니다.학생들은 원한다면 두 개의 트랙을 동시 이수할 수 있습니다.
Marketing
마케팅은 고객에게 새로운 가치를 창출하고, 커뮤니케이션하는 과정으로, 모든 직업과 커리어 분야에서 중요한 영역입니다.
SKK GSB의 Full-Time MBA Marketing 트랙은 혁신적으로, 디지털과 데이터 중심의 마케팅 커리큘럼을 통해 학생들에게 이 과정을 지원하는 방법에 대한 심층 지식을 제공합니다. 학생들은 빠르게 변화하는 마케팅 분야에서 필요한 구체적인 기술과 비판적 사고를 개발하게 될 것입니다
Choose Your Course
Marketing Track을 통해, 여러분의 관심사에 맞는 과목을 선택하여 MBA 교육과정을 맞춤 설계하십시오. 다음은 Marketing Track에 해당하는 과목들의 예입니다.
Brand Management
Brand management has become one of the most important aspects of business strategy. Brands are often a central organizing principle of successful organizations — guiding decisions and actions. Whether you’re a brand marketer, business leader, or entrepreneur, this course provides an essential framework to build, measure and manage a great brand.
Marketing Analytics
Customers' digital footprints have become a significant asset for marketers seeking to gain a competitive edge. We will concentrate on how to use cutting-edge data analysis tools, how to communicate the findings, and how to develop insights and enhance marketing decision-making throughout the course. The course will focus conceptual knowledge as well as hands-on experience with data analysis in the R/Python programming language.
Digital Marketing
The Internet is a dynamic marketplace. This class gives students the theoretical understanding of the Internet marketplace necessary to adapt to its volatility while also equipping them to perform vital daily functions. This course covers the topics of online advertising, search engine optimization, social media marketing, influencer marketing, mobile marketing, and artificial intelligence in digital marketing. By the end of the course, you will walk into any company with Digital Marketing skills and improve their digital, social, and mobile media use.
Pricing Strategy
Pricing is an art and a science. This class teaches the art of pricing in behavioral economics and case studies, and the science of pricing through economic theory and demand curve analysis.
Marketing Research
Quantitative models based on statistical foundations and programming skills are vital ingredients to process information accurately and promptly. This course uses R programming to collect and analyze the data, optimize the investment portfolio, and trade securities. The course is well suited for a wide range of audiences. If you want to know how to program using R, you will learn that with the investment examples. If you're going to have extensive quantitative skills in the investment field, this course can be the first step. If you want to use data analysis for your future personal investment, this course will give you enough tools to start.
Business Forecasting
This class teaches fundamental models for business data analysis and forecasting. The first half of the class teaches interpretable linear analysis using least squares, the second half teaches classical forecasting models alongside Facebook Prophet. Students can complete the class using Excel, but are encouraged to learn and use Python.
Marketing Strategy & Planning
The purpose of this course is to provide frameworks and tools to solve strategic-level marketing problems. Taking the perspective of a senior marketing manager, the class will focus on marketing planning design, implementation, and evaluation. Therefore, our focus will go beyond marketing tactics for a single product or service offering. Instead, we will examine the management level of a firm’s marketing resources and capabilities to maximize long-run customer value that generates the greatest financial return for the firm.
Digital & Social Media Analytics
With the increase in the number of users online, the data generated has increased many folds, bringing in the massive scope for gaining insights into the untapped gold mine, the digital and social media data. Despite the availability of this 'Big Data,' it is challenging to extract insights as the data is mostly unstructured, requiring sophisticated tools to download data, clean, and analyze it. Digital and Social Media Analytics course will provide you with a detailed step-by-step guide to access and analyze data using Python. With this course's successful competition, you get ready to embark on your journey as an independent social media analyst.