At SKK GSB, you have the freedom to tailor your MBA experience by choosing from four tracks/specializations (Business Analytics, Finance, Marketing, and Management) and taking specific courses.
MBA track/specialization in particular areas signals to prospective employers that you have deep knowledge of a particular field, along with relevant analytical skills and tools.
Pursuing a track is optional and is not a degree requirement. Students are allowed to complete more than one track.
Marketing is the process of creating, communicating, and delivering value to customers. It is important in all roles and career paths.
SKK GSB’s Marketing Track in the Full-Time MBA provides students with deep knowledge of how to support this process through innovative, digital and data-driven marketing curriculum. Students will develop the specific skills and critical thinking needed to develop in the fast-moving field of marketing.
Choose Your Course
Customize your MBA education with the Marketing Track by choosing courses to match your interests. Here are examples of courses.
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.
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.
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 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.
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.
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.