Business Major: Data Analytics Option (A.S.)

Program Overview

The Associate in Science in Business program provides a comprehensive foundation in business fundamentals, including economics, marketing, finance, and organizational behavior. Students can specialize in data analytics through a three-course concentration, preparing them for careers as data analysts, business analysts, and other data-driven roles. The program emphasizes ethical principles and prepares students for seamless transition to a Bachelor's degree in Business Management.

Program Outline

Degree Overview:

• Overview: The Associate in Science degree in Business is designed for students interested in gaining a solid foundation in the field of business.
The program includes an overview of general management theory and introduces students to the fundamental concepts of economics, marketing, finance, and organizational behavior. Students are able to further customize their degree by choosing from an array of three-course concentrations to gain specialized knowledge. This degree prepares students for a smooth transition to the B.S. in Business Management or related degree.
• Objectives:
• Attain proficiency in the basic concepts, theories, and methods of inquiry in business.
• Evaluate ethical principles that guide businesses.
• Prepare for seamless transition to the Bachelor of Science in Business Management program.

Outline:

• Program Content: The Business Major: Data Analytics Option (A.S.) program provides students with a comprehensive understanding of the fundamental concepts and practices of business, with a particular focus on data analytics.
The program curriculum covers a wide range of topics, including:
• General management theory
• Economics
• Marketing
• Finance
• Organizational behavior
• Data analytics
• Program Structure: The program is designed to be completed in two years of full-time study.
Students will take a combination of general education courses and major-specific courses. General education courses provide students with a broad foundation in the liberal arts and sciences. Major-specific courses provide students with the knowledge and skills necessary to succeed in the field of business. The program also includes an internship, which provides students with the opportunity to gain practical experience in the field.
• Course Schedule: The course schedule for the program is as follows:
• *First Year**
• Fall Semester
• APST 405: Career Development and Planning (2 credits)
• CMPL 402: Excel (2 credits)
• ENG 420: The Writing Process (4 credits)
• MGMT 410: Principles of Management (4 credits)
• MTH 402: Math for Our World (4 credits)
• Spring Semester
• COM 460: Interpersonal Communication and Group Dynamics (4 credits)
• CRIT 501: Introduction to Critical Inquiry (4 credits)
• DAT 510: Introduction to Data Analytics (4 credits)
• General Education Course (4 credits)
• *Second Year**
• Fall Semester
• COM 480: Visual Communication (4 credits)
• DAT 535: Data Mining, Cleaning, and Visualization (4 credits)
• ACCT 532: Financial Accounting (4 credits)/ECO 470 : Principles of Economics (4 credits)/HRM 420 : Human Resource Management (4 credits)/ MGMT 569 :Budget Management (4 credits)/ MKT 510 : Principles of Marketing (4 credits)
• General Education Course (4 credits)
• Spring Semester
• DAT 610: Data Analytics and Technologies (4 credits)/DAT 620 : Data Analytics in Business Intelligence (4 credits)
• ECO 470: Principles of Economics (4 credits) / ACCT 532 : Financial Accounting (4 credits)/ HRM 420 : Human Resource Management (4 credits)/ MGMT 569 :Budget Management (4 credits)/ MKT 510 : Principles of Marketing (4 credits)
• General Education Course (4 credits)
• Individual Modules: The program is divided into several individual modules, each of which covers a different aspect of business.
The modules include:
• Introduction to Business
• Accounting
• Finance
• Marketing
• Management
• Economics

Assessment:

• Assessment Methods:
• Exams
• Quizzes
• Projects
• Class participation
• Assessment Criteria:
• Grading is based on a student's performance on exams, quizzes, projects, and class participation.

Teaching:

• Teaching Methods:
• Lectures
• Discussions
• Case studies
• Simulations
• Experiential Learning Projects
• Faculty: The program is taught by a team of experienced faculty members who are experts in their respective fields.
Faculty members are actively involved in research and consulting, and they bring their real-world experience into the classroom.

Careers:

• Potential Career Paths: Graduates of the program will be prepared for a variety of careers in business, including:
• Data analyst
• Business analyst
• Management consultant
• Financial analyst
• Marketing manager
• Operations manager
• Career Opportunities: Graduates of the program will have the opportunity to work in a variety of industries, including:
• Finance
• Consulting
• Technology
• Manufacturing
• Retail
• Healthcare