MS in Marketing Analytics Degree for working professionals in USA

• ACCT 4101 - Foundations of Financial Accounting
  
  This course presents a comprehensive introduction to financial accounting concepts, generally accepted accounting principles, and the accounting framework. The course begins with an orientation to the basic financial statements that provide information to external parties for their decision making and the accounting information system that records transactions that are reflected in the statements. An emphasis is placed on proper recording and financial statement preparation and analysis. The major categories of the income statement, balance sheet, retained earnings statement, and the statement of cash flows are fully discussed.
  
  

• BAN 5501 - Database Management and SQL for Analytics

This course serves as an introduction and overview of the database management body of knowledge (DMBOK) from a managerial perspective. The learning objectives will be to acquire a comprehensive understanding of the basic concepts of database design and usage, as well as develop practical skills for utilizing databases to their fullest extent. Correct database design will be emphasized both as a theoretical foundation and a practical necessity. 

 The following topics are the focus of the course:

•    High-level, general database concepts and design 

•    Design, create and manipulate an individual relational database including the utilization of SQL as a fundamental tool

•    Interpret and apply client database needs

•    Discuss and apply best practices of User Interface Design to database applications

 Identify and discuss new developments and trends in databases including the use of data warehouses, data lakes and hubs, and X analytics.

• BAN 5532 - Introduction to AI for Data Scientists and Business Analysts

This is an introductory course in Artificial Intelligence for Data scientist and Business Analysts, for business analysts to leverage data and AI to make informed strategic business decisions. The course is intended for  students who desire to learn AI to improve their skills in new emerging advanced technology and eventually become business managers and leaders. Students who are interested in opportunities as data scientists, marketing analysts, product managers, and team leaders looking to further their careers are among the pertinent profiles. The course emphasizes a theoretical and case-based approach that helps to simulate operational instances where AI can be used to enhance corporate goals.

Artificial intelligence has progressively expanded its influence over enterprises worldwide, resulting in a steady demand for AI professionals. While the emphasis has been on the opportunities for trained professionals, their efforts must still be oriented towards competitive business results. Modern organizations should take advantage of the skills and expertise of emerging AI professionals to maximize productivity and achieve market leadership. 

It will address fundamental ideas in machine learning and artificial intelligence, allowing learners to gain an intuitive understanding without being overly focused on complex technical specifics.

This course does not require any prior coding expertise, rather it focuses on building AI business models (no coding).

• BAN 5573 - Visual Analytics and Business Intelligence

By leveraging enterprise information assets, business intelligence tools and technologies can help businesses become more efficient and effective in their operations. Business Intelligence utilizes technology, expertise, knowledge, statistics, and creative thinking to identify problems and provide solutions to them. The focus of this class is to learn about enterprise approaches to business intelligence through case studies, decision support systems (DSS), development methodologies, and enabling technologies. This course will provide students with the experience to conduct an analytic project from gathering the data to interpretation in the business intelligence technologies such as Tableau, Power BI, KNIME, LINGO, and others.

The analytics content is divided into three parts: descriptive, predictive, and prescriptive analytics. The first four to five weeks will be spent learning descriptive analytics and will be performed in Tableau. The next four to five weeks will be spent learning predictive analytics methods using KNIME software. The remaining weeks will be utilized to learn linear programming and other prescriptive analytics methods using Excel Frontline Software, and LINGO. This course also involves a project in the form of a creative component. The details are given later in the syllabus.

By the end of the course students will develop an understanding of the role of computer-based information systems in direct support of managerial decision making.

• BAN 5650 - Applied Business Analytics

The goal of this course is to cultivate students’ capability to apply data analytics and decision support modeling to industry decision problems characterized by complex market and regulatory environments and competing demands for resources. Students will learn a framework for quantitative decision making and effective resource allocation under uncertainty that is applied today in many business analytics and decision making contexts. The course will focus on (1) identification and collection of relevant data for analysis; (2) identification and application of the appropriate models and techniques; and (3) structuring the decision problem in terms of strategic alignment, feasibility, cost effectiveness, and risk.

By the end of the semester, students will understand how to assess the business context and apply business analytics skills to the managerial decision problem; structure and implement a complex decision analysis; select appropriate data and analytical methods and build models; apply project management principles and tools to the completion of complex analysis; and present and defend an analysis and recommended investment program. (The subjects and the type of analyses may vary depending on the subject experts we invite for a particular section).

• BAN 5700 - Blockchain and Cryptocurrency

This course presents some fundamental concepts and hands-on experiences for learning blockchain technology. The hands-on experiences focus on design and development of blockchain through programming, then business applications of blockchain. The business applications include development of blockchain, coins, and NFTs. Examples of topics include, but are not limited to, hash functions, cryptocurrency, transactions, marketing, trading, cryptocurrency creation, and NFTs. The major blockchain and cryptocurrency programming will be through Python.

• MGMT 5543 - Project Management

For some time, management experts such as Tom Peters in The Wow Project have been predicting that ‘white collar’ work will become more and more project-based. This trend is clear in many professions and industries including accounting, architecture, construction, consulting, implementation of mergers and acquisitions, law, new product introduction, etc. Individuals and managers in ‘operational’ positions are being challenged to do more; i.e., take on and manage a project to drive innovation in the organization.

The course will cover tools and techniques necessary for successful management and completion of projects. Students will learn about project management concepts, challenges, needs identification, proposed solutions, risk assessment/management, project planning, scheduling, project control techniques, project team management, communication, change management responsibilities, documentation and web-based project management software. In addition, project management as a possible career path will be discussed. The final project for the course is the development of a variety of project plan components for a project of the student team’s choice. No prior project management experience is necessary.

• MGMT 5792 - Management Consulting Projects

This course is organized around projects provided by a variety of mostly for profit organizations in central Massachusetts. Teams of four to six second-year M.B.A. students are invited to work in these organizations as consultants in training. Working with guidance from Clark faculty members and managers from the host organizations, the student teams analyze their assigned projects and recommend courses of action. Management, in turn, critically evaluates and responds to the students’ analysis and recommendations, in much the same manner that they respond to proposals from their own staff.

• MKT 5486 - Branding Strategies

This course is a graduate level marketing course covering the principles and practices of effective brand management. The  migration of products and services across global and cultural boundaries has emphasized the importance of developing strong lasting brands. This course is focused on applied strategies and tactics used by marketers to build effective brands in all markets. Students will learn the key elements of branding and the global market forces that impact brand success. Together as groups, and as individuals, students will evaluate realistic branding situations and develop strategies to maximize brand success. The impact of social media on branding, as well as global challenges will also be covered.

• MKT 5487 - Sustainability Marketing

The business landscape of the 21st century is evolving to encompass a rapidly expanding segment of consumers concerned with their impact on the global quality of life. This awakening breed of new consumers has created the need for a new marketing paradigm; under the current title of “Sustainable Marketing”.

This new cutting edge course will define the role of Sustainable Marketing and its key objectives. It will also examine segmentation strategies and marketing activities to produce opportunities for Green products, services and socially positive brands. Major topic areas covered within this 14 week course include:

• The definition and evolution of Sustainability Marketing

• The changing role of corporations in sustainability

• Sustainable consumer behaviors

• Sustainability Branding strategies

• Sustainable Packaging

• Sustainable Sourcing and Product Creation

• Sustainable Supply Chains

• Communications and Story Telling

These topics, along with current global trends in Sustainable Marketing will be incorporated into a learning environment that involves in class discussions and lectures using new textbook concepts and current market trends and in class strategic teams of students creating marketing solutions for actual global sustainable market areas.