Semester 1
Code
Name/Description
Credits
ANLT 600
Business Mathematics and Data Analytics
3
You will learn the essential skill of estimating costs and benefits for a process change. Your studies will include the development of theoretical knowledge and practical skills in these areas: querying from existing data sources, outlining assumptions, developing cost benefits models, analyzing outcomes over multiple years, separating assumptions from the model, and developing flexible formulae. A component of your studies will include an introduction to relational databases and advanced use of spreadsheet software.
Credit Units: 3
Course Hours: 45.0
Potential Learning Method(s): Lecture/Lab, Online
CDBM 602
Data Engineering
3
You will study the conversion of business questions into data mining problems. You will identify sources of an organization’s data. You will use strategies to transform that data into a meaningful format for data mining which will involve you developing an understanding of data modeling and transformation.
Credit Units: 3
Course Hours: 45.0
Potential Learning Method(s): Lecture/Lab, Online
COMP 603
Programming for Data Science
3
You will study strategies to leverage the popular data science language Python. You will perform visualization of real data and become acquainted with data structures such as the dictionary and the DataFrame. You will become familiar with key concepts such as Boolean logic, control flow, and loops and use GIT (open source version control system), to perform updates and manage the versions of your source code.
Credit Units: 3
Course Hours: 45.0
Potential Learning Method(s): Lecture/Lab, Online
COMP 604
Web Analytics and Business Intelligence Tools
3
You will study the importance of business intelligence to the modern enterprise. You will study methods to report information effectively based on audience characteristics by leveraging modern business intelligence (BI) tools.
Credit Units: 3
Course Hours: 45.0
Potential Learning Method(s): Lecture/Lab, Online
TCOM 600
Business Technology Communications
3
You will learn how to manage communication in a business environment using best practices and common software tools. You will learn how to produce effective content delivered with appropriate tools.
Credit Units: 3
Course Hours: 45.0
Potential Learning Method(s): Lecture/Theory, Online
Total semester credits: 15
Semester 2
Code
Name/Description
Credits
CDBM 603
Enterprise Data Architecture
3
You will study enterprise data architecture and associated technologies. Your studies will include the fundamentals of relational data models and a discussion of the problems of redundancy and fragmentation. You will study the role of non-relational data models within organizations. Your studies will include data solution approaches such as data warehouses, data marts, data lakes and decentralized data models for micro services.
Credit Units: 3
Course Hours: 45.0
Prerequisites(s): CDBM 602
Potential Learning Method(s): Lecture/Lab, Online
COMP 605
Introduction to Artificial Intelligence
3
You will study the application of artificial intelligence (AI) application programming interfaces (APIs) to business applications. You will use AI technology to augment and automate business processes. You will implement common AI applications including image recognition, sentiment analysis, and product recommendations.
Credit Units: 3
Course Hours: 45.0
Prerequisites(s): COMP 603
Potential Learning Method(s): Lecture/Lab, Online
COMP 606
Machine Learning
3
You will study the application of algorithms and make predictions which form the foundation of machine learning. Your studies will include these ideas in machine learning: building and evaluating predictive models, tuning these models for optimal performance, and preprocessing data for better results.
Credit Units: 3
Course Hours: 45.0
Prerequisites(s): COMP 603
Potential Learning Method(s): Lecture/Lab, Online
COMP 607
Artificial Intelligence for Management and Ethical Issues
3
You will learn the ethical issues of artificial intelligence as well as the role of professionalism and the ethical organization for the responsible execution of AI application. You will also learn the fundamentals of operations management, managing AI decision making, and strategic planning as it pertains to AI technology.
Credit Units: 3
Course Hours: 45.0
Potential Learning Method(s): Lecture/Lab, Online
PROJ 613
Capstone Project
3
You will learn how to work in a group to plan and execute a major Artificial intelligence and Data analytics project. You will manage and monitor the project and produce documentation to communicate effectively with your stakeholders.
Credit Units: 3
Course Hours: 45.0
Potential Learning Method(s): Lecture/Lab, Online
Total semester credits: 15