Overview
Contemporary businesses operate in an increasingly data-driven world. Successful businesses around the world are investing heavily in technologies and systems to become more informed about the key elements that affect their business operations, support and serve their customers, and sustain their competitive positioning with their markets. Decision makers often need to make use of first-hand, in-depth, and contextual capacity to collect business data from highly distributed systems around the globe; to employ analytics techniques to discover business relationships; to communicate and collaborate effortlessly with clients, partners, and analysts; and to evolve a highly successful business practice. Business intelligence, analytics, and data science are overlapping fields that encompass the technologies, systems, architectures, and tools that support managerial decision making in this data-driven climate.
BTMA 444 approaches business intelligence and analytics from a managerial viewpoint. Students are expected to orient their study toward making strategic business decisions using analytics data derived from business tools. The assignments are designed to offer students choice and flexibility to explore their interests within the field of analytics and to demonstrate their ability to apply course concepts to real-world contexts.
Outline
Lesson 1: Introduction to Business Intelligence, Analytics, Data Science, and AI
Lesson 2: Artificial Intelligence
Lesson 3: Descriptive Analytics: The Nature of Data, Big Data, and Statistical Modelling
Lesson 4: Data Warehousing and Visualization
Lesson 5: Data Mining
Lesson 6: Text, Web, and Social Media Analytics
Lesson 7: Deep Learning and Cognitive Computing
Lesson 8: Optimization and Simulation
Lesson 9: The Landscape of Business Analytics Tools
Lesson 10: Future Trends in Analytics and Data Science
Lesson 11: Ethical, Privacy, and Managerial Considerations in Analytics
Evaluation
To receive credit for BTMA 444, you must submit all five written assignments, participate in the discussion forums, complete the final project presentation, and achieve an overall course grade of at least D (50 percent).
| Activity | Weight | Complete by |
| Assignment 1: Final Project Proposal | 5% | as soon as possible |
| Assignment 2 | 15% | after Lesson 4 |
| Assignment 3 | 15% | after Lesson 8 |
| Assignment 4 | 15% | after Lesson 11 |
| Forum Participation | 5% | ongoing |
| Assignment 5: Final Project | 30% | after receiving approval for Assignment 1 |
| Assignment 5: Final Project presentation | 15% | |
| Total | 100% | |
Materials
Digital course materials
Links to the following course materials will be made available in the course:
Sharda, R., Delen, D., & Turban., E. (2024). Business intelligence, analytics, and data science: A managerial perspective (5th ed.). Pearson Education
Other Resources
All other learning resources will be available online.
Challenge for credit
Overview
The challenge for credit process allows you to demonstrate that you have acquired a command of the general subject matter, knowledge, intellectual and/or other skills that would normally be found in a university-level course.
Full information about challenge for credit can be found in the Undergraduate Calendar.
Evaluation
To receive credit for the BTMA 444 challenge registration, you must submit a comprehensive assignment, achieve a grade of 50 percent on the challenge examination, and receive a composite grade of at least D (50 percent).
| Activity | Weight |
| Written Assignment | 40% |
| Online Exam (3 hours) | 60% |
| Total | 100% |
Challenge for credit course registration form