Course Description
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.

Course Description
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.

Course Description
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.

Course Description
This course is intended to engage students in a real-world marketing consulting project. This course serves as a bridge between classroom material and practical application. Students apply their previously learned material from the curriculum to craft a comprehensive, data-informed marketing strategy.

Course Description
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.

Course Description
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

Course Description
This 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 variables; 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).

Course Description
The dramatic increase of computing power in conjunction with the availability of accurate customer data opens up a new avenue of applying sophisticated database marketing technologies to customer analysis in various industries. Accordingly, over the last few decades the marketing paradigm has shifted from a product-driven to a customer-driven marketing in which the unit of analysis is an individual customer. Given this new trend in marketing practice, this course forwards an up-to-date overview of customer-centric database marketing in practice in tandem with the fundamental concepts of database marketing. Students then will learn about how and why companies in the real world use database marketing to better manage the relationship with their customers.

Course Description
Social Media and Digital Marketing teaches the specific strategies and tactics necessary to analyze and develop sophisticated interactive marketing programs in social media platforms. This course introduces best practices in social media and works on websites that include Facebook, LinkedIn, Google+, Twitter, etc., as well as blogs, feedback mechanics, and more.

Course Description
Pricing Analytics teaches how to model and identify opportunities for pricing optimization in different business contexts. This course feeds the set of practices to students and equips them with tools that firms in various industries use to quantitatively model consumer demand and tactically optimize their pricing strategies. Students also will be doing a hands-on dive into the learned tools in the context of real business case studies and data sets.

Course Description
This course introduces the student to the basic skills for managing people and organizations as well as how to understand different backgrounds of different people so that they can communicate each other. The course deals with motivation, individual and group decision-making, conflict, power and politics, leadership, job design, performance maintenance, organizational environment, organization structure and design, and emerging trends and challenges.

Course Description
Digitalization has transformed business management in big ways. These days most business transactions, operations and communications are being conducted online. Employees, suppliers and customers are interacting with each other in unprecedented ways and scales. As a result, new generation enterprise systems, social networking sites, cloud and mobile-based apps are generating troves of business data (BIG DATA). Firms are still grappling with the challenges related to these newer, bigger and fast-changing datasets. The demand for data modelers, business analysts and data scientists – capable of mining actionable intelligence from big data – has outpaced the number of available professionals. This course aims to introduce participants to data science and applications of big data analytics technologies for business decision support. It would provide a helicopter view of the full data analytical cycle to the participants involving problem definition, data mining, modeling, data analysis and its application to business decision-making. Along the way, it will also equip the participants with most relevant tools and skills in each of the phases of the data analytic cycle. Although the course does not involve or require programming knowledge neither does it goes deep into technologies like in-memory databases, artificial intelligence and machine learning, owing to the technical nature of the subject, participants are expected to be willing to invest time in learning several supporting concepts and tools to make full sense of the discussed topics.

Course Description
An emphasis on the practical application of theories and principles to the development of those writing skills essential to communication encounters in the business world. The course includes practice in writing business letters, resumes, memos, instructional materials and reports, and using visual aids. Offered for students enrolled in applied science and technology. A highly practical course, it teaches you to: compose clear, concise memos, letters, and short reports write an effective job application letter and resume use visual aids in oral and written presentations practice developing and using appropriate illustrations for business documents use visual aids in written presentations increase the student's ability to analyze information and organize it into written reports develop a familiarity with formats for short business reports such as progress, trip and incident reports.