Geneva Nation Institue

BUSINESS
ANALYTICS
(BSBA)

A1

BUSINESS
ANALYTICS
(bsba)

Program Overview

Award : Bachelor of Science in Business Analytics (BSBA)

The University of Rhone’s Bachelor of Science in Business Analytics is a cutting-edge program designed to cultivate highly skilled professionals capable of navigating the increasingly data-driven business landscape.

Total Credit Hours: 180 ECTS

Program Duration: 3 years (6 semesters)

Mode of learning: On campus/Online/Blended

Course Overview

The University of Rhone’s Bachelor of Science in Business Analytics is a cutting-edge program designed to cultivate highly skilled professionals capable of navigating the increasingly data-driven business landscape. This three – year program, offered in on-campus, online, or blended modes, provides a comprehensive blend of technical data analysis expertise and core business acumen. Students delve into subjects like statistical methods, data management, programming languages (such as Python and R), and data visualization, ensuring they gain both the theoretical understanding and practical tools necessary to extract meaningful insights from complex datasets. The curriculum is structured to build foundational knowledge in year one, move into core analytics and business skills in year two, and culminate in advanced analytics and real-world application in year three, including a crucial Capstone Project.

Graduates of the BSc in Business Analytics program emerge with a robust skillset, prepared for diverse and in-demand roles in various sectors, including finance, marketing, operations, and general business. The program emphasizes the ability to analyze quantitative and qualitative data to support strategic decision-making, effectively utilize statistical tools and software, and communicate data-driven insights to diverse audiences. Beyond technical proficiency, students develop critical thinking, problem-solving abilities, and an understanding of ethical considerations in data handling, making them well-rounded professionals ready to contribute significantly to organizations seeking to leverage data for competitive advantage. The University of Rhone’s commitment to applied learning, experienced faculty, and strong career support ensures that graduates are not only skilled but also confident and prepared for successful careers in the global data economy.

Learning objectives

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.

Target Audience

School LeaversThe fresh out of high school with a knack for numbers, problem-solving, and technology, this program is perfect for setting you on a successful career path.

Career StartersAnyone eager to enter the job market with cutting-edge, highly sought-after skills that are crucial in virtually every industry.

Analytical MindsIndividuals who enjoy working with data, identifying patterns, and using insights to solve real-world challenges.

Aspiring Innovators Those who want to be at the forefront of business intelligence, helping companies make smarter, data-driven choices.

Career Opportunities

A Bachelor of Science (BSc) in Business Analytics is a highly sought-after degree in today’s data-driven world. It equips graduates with the skills to analyze complex data, identify trends, make informed decisions, and solve business problems across various industries.

Here’s a breakdown of common career opportunities and what they entail:

Core Roles Directly Related to Business Analytics:

Business Analyst: This is often the most direct path. Business analysts act as a bridge between business needs and IT solutions. They gather requirements, analyze data, identify inefficiencies, and propose solutions to improve business processes and outcomes. They are crucial in almost every sector.
 
Data Analyst: Focuses more on the technical side of data. Data analysts collect, clean, process, and interpret large datasets to extract meaningful insights. They often use tools like SQL, Excel, Python/R, and data visualization software (Tableau, Power BI) to present their findings.
 
Business Intelligence (BI) Analyst: Specializes in transforming data into actionable insights through reports, dashboards, and visualizations. BI analysts help organizations understand past performance and current trends to make better strategic decisions.
 
Marketing Analyst: Uses data to understand customer behavior, evaluate marketing campaigns, identify market trends, and optimize marketing strategies. They often work with web analytics, social media data, and customer demographics.
 
Financial Analyst: Applies analytical techniques to financial data to support investment decisions, assess financial performance, manage risk, and forecast future trends for organizations or clients.
 
Operations Analyst: Focuses on improving efficiency and effectiveness within an organization’s operations. They analyze workflows, supply chains, and production processes to identify bottlenecks and optimize performance.
 
Management Consultant Analyst: Works with various clients to identify business problems, analyze data, and propose strategies for improvement. This role requires strong analytical, problem-solving, and communication skills

Year 1: Foundations of Business and Analytics

1. Introduction to Business functions and environments

2. Principles of Economics

3. Business Mathematics

4. Introduction to Statistics

5. Computer Programming for Business

6. Business Communication

Year 2: Core Analytics and Business Skills

1. Data Management and Databases

2. Business Statistics

3. Data Visualization

4. Operations Management

5. Marketing Analytics

6. Ethics in Data Analytics

Year 3: Advanced Analytics and Application

1. Predictive Analytics

2. Big Data Analytics

3. Business Intelligence

4. Capstone Project

5. Electives (Choose 2)

Topics may include

  • Financial Analytics
  • Social Media Analytics
  • Advanced Programming Techniques.

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.
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