A minor in Business Analytics and Artificial Intelligence (AI) combines the study of data analysis methods with the principles and applications of AI in a business context. A Business Analytics minor is valuable for students seeking to enhance their analytical and data-driven decision-making skills. It is particularly relevant in today’s data-intensive business environment, where the ability to effectively analyze and interpret data is crucial for success in a wide range of careers.
Required Courses
HSC 105 - Data and the African Diaspora (Morehouse College). 3 Credits
The course teaches critical concepts and skills in computer programming & statistical inference, in conjunction with hands-on analysis of real-world datasets. Prereq: None
CCIS 105 - Programming Principles I & Lab. 4 Credits
Problem solving using programming technique in Python. Coreq: CIS 105L
CBUS 436 - Data Mining and Visualization. 3 Credits
Use data to develop insights and predictive capabilities using machine learning, data mining, forecasting and simulation – Preq. CBUS 313 Business Statistics. Faculty Qualifications: Predictive Statistics, Prescriptive Statistics, Knowledge of Data Programming Language. Prereq: CBUS 313
CBUS 470 - Database Management for Analytics & Artificial Intelligence. 3 Credits
This course delves into the critical aspects of database management with a specific focus on how databases are utilized in the realms of data analytics and artificial intelligence. It aims to provide a comprehensive understanding of both the technical and strategic aspects of database management in these advanced fields. Preq: CBUS 206
Electives
CBUS 434 - Enterprise Integration Applications. 3 Credits
This course is a study of business intelligence (BI) that turns voluminous data into actionable insight, BI greatly increases an organization’s competitiveness. Students will use BI and become experienced users of SAP BI products Preq: CBUS 317 Enterprise Integration Systems Faculty Qualifications: Knowledge of SAP Business Intelligence Suite, Database Management
CBUS 445 - Marketing Research. 3 Credit
Student will learn end-to-end perspective of how analytics applies across the customer journey, from awareness through retention. They will gain a foundation of data analytics with specific application to making important decisions about marketing strategy. Prereq: CBUS 335
CBUS 454 - Finance Analysis for Decision Making. 3 Credits
Exposes students to various forms of financial decision making in a variety of contexts. Students will practice decision-making skills using financial analysis in assessing firm performance, evaluating financial alternatives and in valuation. Students will develop proficiency in financial statement analysis, financial forecasting, and investment and financing decision analysis. Preq: CBUS 341 Financial Management
CBUS 474 - Logistics Management. 3 credits
Analysis of logistics activities, including integration of transportation, inventory management, warehousing, facility location, customer service, packaging, and materials handling. Students will be exposed to online logistics support systems to better understand the real-time nature of transportation decisions on other business functions. Prerequisite: CBUS 362.
CBUS 472 - Quality, Diversity, and Productivity. 3 credits
This course is designed in an integrated fashion that fosters an “emerging paradigm” of systems thinking and learning regarding the disciplines of quality, leadership and productivity improvement. It emphasizes the concepts of Total Quality Management (TQM), Six Sigma DMIAC process and its application to modern management and the global marketplace, the new paradigm of customer value, measurement positioning, key stakeholders, product design, and cross-functional organizational systems Prereq: CBUS 313
CBUS 478 - Modeling the Supply Chain. 3 credits
This course provides students with discussions and examples that integrate qualitative and quantitative thinking about supply chain planning problems and models. A major approach relies heavily on optimization models, which provides frames or templates for such integration. The course attempts to demonstrate that optimization models and methods provide comprehensive systems approaches to integrated business planning, which is the essence of supply chain management. Firms that succeed in such efforts will realize a significant competitive advantage. Prerequisite: CBUS 362.
CECO 309 - Introduction to Econometrics. 3 Credits
This course is an undergraduate level introduction to econometrics, the social science in which the tools of economic theory, mathematics, and statistical inference are applied to the analysis of economic phenomena. Prereq: ECO 251 and CECO 252
CBUS 494 - Special Topics in Data Science. 3 Credits
Course will present current topics in Data Science and Analytics. Prereq. CBUS 313
CCIS 106 and 106L - Computer Programming II. 4 Credits
A continuation of CIS 105 teaching advanced concepts in computer programming using a modern programming language. Guided laboratory is required. Co-requisite: CCIS 106L. Prerequisite: CCIS 105.
CIS 431 - Cybersecurity I. 3 Credits
Provides a comprehensive overview of the concepts relevant to information security. Concepts include development of security policy, malicious code, general purpose protection of resources, trusted systems, and cryptography. Prerequisites: CCIS 223 and CCIS 227
CCIS 475 - Artificial Intelligence. 3 Credits
Introductory study of intelligent problem solving and search algorithms, inference systems, machine intelligence and knowledge organization. Prerequisite: CCIS 223 and CCIS 227.
