Program Overview: Bachelor of Science in Business Analytics
The Bachelor of Science in Business Analytics is designed to equip students with the essential skills and knowledge required to analyze data and make informed business decisions. This program blends technical data analysis with business acumen, preparing graduates for the rapidly evolving data-driven business landscape.
Program Structure
The Bachelor of Science in Business Analytics is typically structured over three years, divided into six semesters. The program consists of core modules, elective modules, and a capstone project in the final year. Below is a suggested module outline for each year.
Year 1: Foundations of Business and Analytics
1. Introduction to Business
– Overview of business functions and environments.
2. Principles of Economics
– Basic economic concepts and their application in business.
3. Business Mathematics
– Mathematical concepts and techniques for business decision-making.
4. Introduction to Statistics
– Basic statistical concepts and their application in data analysis.
5. Computer Programming for Business
– Introduction to programming languages commonly used in data analytics (e.g., Python, R).
6. Business Communication
– Effective communication strategies in a business context.
Year 2: Core Analytics and Business Skills
1. Data Management and Databases
– Database design, management, and querying data.
2. Business Statistics
– Advanced statistical methods for business analysis.
3. Data Visualization
– Techniques and tools for visualizing data insights.
4. Operations Management
– Understanding operations and supply chain from an analytics perspective.
5. Marketing Analytics
– Analysis of marketing data to drive strategy and decision-making.
6. Ethics in Data Analytics
– Ethical considerations and legal issues in data handling.
Year 3: Advanced Analytics and Application
1. Predictive Analytics
– Techniques for forecasting and predictive modeling.
2. Big Data Analytics
– Introduction to big data technologies and tools.
3. Business Intelligence
– Tools and techniques for decision support and reporting.
4. Capstone Project
– A comprehensive project that integrates knowledge and skills acquired throughout the program.
5. Electives (Choose 2)
– Topics may include Financial Analytics, Social Media Analytics, or Advanced Programming Techniques.
Learning Outcomes of the BBA Degrees
Upon successful completion of the Bachelor of Science in Business Analytics, graduates will be able to:
1. Analyze quantitative and qualitative data to support business decision-making.
2. Utilize statistical tools and software for data analysis and visualization.
3. Understand and apply principles of business management and operations.
4. Communicate data-driven insights effectively to diverse audiences.
5. Apply ethical considerations in data handling and analysis.
6. Work collaboratively in team settings to solve complex business problems.
Assessment Methods
The assessment methods for the program will typically include:
– Examinations: Written exams to assess theoretical understanding.
– Assignments: Individual and group assignments to evaluate analytical skills and application of knowledge.
– Projects: Practical projects that demonstrate the ability to apply learned concepts in real-world scenarios.
– Presentations: Oral presentations to develop communication skills and present data findings effectively.
– Participation: Engagement in class discussions and group activities.
Admission Requirements
To be considered for admission to the Bachelor of Science in Business Analytics, prospective students typically need to meet the following requirements:
1. Educational Background
– Completion of secondary education (high school diploma or equivalent) with a strong emphasis on mathematics and analytical subjects.
2. Minimum GPA
– A minimum GPA requirement (varies by institution).
3. Standardized Test Scores:
– Some institutions may require standardized test scores (e.g., SAT, ACT) or equivalent.
4. Personal Statement:
– A written statement outlining the applicant’s interest in business analytics and career aspirations.