Core Course
CS451 – Business Analytics Project
Course Unit Code: CS451
Type Of Unit: Elective
Level of Course Unit: First Cycle
Year of Study: Third/Fourth year
Semester: On demand
Number of ECTS Credits: 7.5
Class Contact Hours: #
Mode of Delivery
Prerequisites
CS 321 – Machine Learning, Data Mining & Business Analytics
BA341 – Project Management
Course Objectives
Learning Outcomes
On completion of this course students are expected to:
CILO 1 Identify and evaluate technology-related problems or opportunities for innovation.
CILO 2 Apply design thinking principles to develop creative solutions
CILO 3 Construct a data-driven business model for their proposed innovation.
CILO 4 Validate their concept through market research, user feedback, and/or prototyping.
CILO 5 Utilize your programming skills and relevant tech tools to prototype and enhance their solution.
CILO 6 Effectively communicate their vision and business plan to potential stakeholders and investors.
CILO 7 Demonstrate strong teamwork, leadership, and initiative within their project team.
CILO 8 Reflect on the ethical and social impact of their proposed innovation.
Course Content
The course will be structured around the following activities:
Project Development: Teams will identify, scope, and refine a business analytics project throughout the semester.
Lectures and Workshops: Weekly sessions will cover essential topics in business analytics, data analysis, and project management. During such lectures, Industry professionals will share their experiences and insights.
Progress Presentations: Teams will present their project progress at key milestones.
Final Project Report and Presentation: A comprehensive report summarizing the project and a final presentation to showcase findings and recommendations.
Course Features
Planned learning activities and teaching methods Seminars, teamwork and team presentations
Assessment methods and criteria • Project Development (40%)
• Progress Presentations (20%)
• Final Project Report (20%)
• Final Project Presentation (20%)
Language of Instruction English
Work Placement(s) Not applicable
Readings
Textbook:
Foster Provost, Tom Fawcett, Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking, 1st Edition
O’Reilly Media, 2013
English (UK) 
Ελληνικά