Courses:
Master of Science in Business Analytics and Artificial Intelligence with a Specialization in Marketing Analytics

This course discusses the process of business analytics by developing a business intelligence solution, including problem definition, data preparation, descriptive and predictive analyses, evaluation of results, implementation and deployment. Data-oriented methods using spreadsheet and structured query language (SQL) are emphasized for business transaction capturing, data aggregation and online analytic processing (OLAP). Students will employ a variety of software tools in the development of a data warehouse, including ETL (extraction, transformation and loading) and visual data representations (e.g., data cubes).

Duration: 7 weeks
Credit Hours: 3

Novel problems require innovative solutions - this course introduces students to the power and flexibility of programming and scripting languages such as R and Python, applied to problems in business analytics. Students will learn how to acquire and deploy software packages relevant to their problem, then use them together with tools such as SQL to collect and prepare data, customized analyses according to specific needs, and create outputs which effectively communicate the results.

Duration: 7 weeks
Credit Hours: 3

This course introduces students to the concept of social media analytics and techniques used to analyze social media data such as texts, networks, and actions. Students will learn how to extract data from popular social media platforms and analyze such data using software tools such as R to identify trends, sentiment, opinion leaders and communities.

Duration: 7 weeks
Credit Hours: 3

This course introduces students to data visualization and dash-boarding. Students will learn best practices in data visualization, data retrieval using structured query language (SQL), polish analytical skills, and learn how to design dashboards to support managerial decision. Student will have the opportunity to gain hands-on experience in data retrieval and visualization. Students will use Tableau as their main tool for data visualization and dash-boarding but will develop transferable skills which can apply to most common software packages in the field.

Duration: 7 weeks
Credit Hours: 3

This course provides students with the knowledge, skills and techniques for unsupervised machine learning, deep learning, and artificial Intelligence for Business Analytics. Several techniques will be applied to diverse business applications. Prerequisite: QUMT 6303 or QUMT 3341 or equivalent.

Duration: 7 weeks
Credit Hours: 3

An introduction to statistical methodology to include probability concepts, inference techniques, analysis of variance, regression analysis, chi square and other non-parametric analyses. This course focuses on the use of the computer in performing statistical analysis.

Duration: 7 weeks
Credit Hours: 3

This course addresses real-world business applications of machine learning and artificial intelligence for strategic decision-making. Students will implement AI and machine learning solutions to unlock valuable insights from complex business data. The course enables students to drive business transformation through AI-powered analytics and data-driven business intelligence. Prerequisites: QUMT 6303 or QUMT 3341 or equivalent

Duration: 7 weeks
Credit Hours: 3

This course introduces the principles and techniques of prescriptive analytics. These provide business entities and policy makers with fundamental rationality in evaluating performance, making decisions, designing strategies, and managing risk. Students will learn how to use analytical models to evaluate uncertainty that is prevalent in many business decisions. Since business problems often have alternative solutions, students will learn how to use analytical models to assess various business solutions and identify the best course of action. This course involves a hands-on learning experience with spreadsheet modeling and other analytical packages. The emphasis is on how to employ these analytical methods to facilitate managerial decision-making in diverse industries and functional areas.

Duration: 7 weeks
Credit Hours: 3

This course focuses on spreadsheet modeling to support decision making by organization in service industries, such as healthcare, banking, distribution, and education. Students develop critical thinking and problem-solving skills to address real-world problems. The spreadsheet modeling capability acquired is highly practical for managers and administrators. Course topics cover display charts, data exploration, decision-making logic, reference functions, financial impact of loans and investments, project management, what-if analysis, goal seek, visual basic programming, and other advanced tools.

Duration: 7 weeks
Credit Hours: 3

Topics of this course encompass the entire research process from formulating research problem(s) and determining research design to analyzing and interpreting data to help managers and researchers gain actionable information that will lead to intelligent decisions. Techniques for determining a problem or research issue are examined along with the proper methodologies and techniques for collecting and analyzing data. Computer statistical analysis techniques and programs are explored. Also stressed is the proper use of data in the decision making process as well as written and oral communication of research output.

Duration: 7 weeks
Credit Hours: 3

This course explores how strategic business communication has changed due to the rise of social media and digital marketing. It equips students with relevant knowledge and skills to develop cutting-edge business communication strategies that incorporate social media, digital marketing, and consumer-to-consumer social interactions. The course examines the digital marketing trifecta of 1) owned media, including an organization’s website and social media channels, 2) paid media, including social media ads, influencer marketing, and SEO marketing, and 3) how to maximize earned media.

Duration: 7 weeks
Credit Hours: 3

This course explores the world of artificial intelligence and unlocks its power to transform marketing strategy. The course combines theory and hands-on experience crafting personalized content with AI writing, targeting audiences with precision through segmentation, predicting customer behavior for smarter decisions, and optimizing campaigns with AI-powered analytics and automation. Ethical considerations and responsible AI implementation are woven throughout, ensuring mastery of this technology with confidence. Students will become equipped with a practical toolkit and the ability to leverage AI for a marketing career.

Duration: 7 weeks
Credit Hours: 3