The objective of the master's degree programs is to provide advanced training to those who wish to practice their profession with increased competence in the global business industries. The program emphasizes both mastery of the subject matter and an understanding of related research and research methodology. It is an MBA in Data Science that combines core business principles with data science, analytics, and machine learning. It is designed for professionals who want to leverage data-driven decision-making in business strategy, operations, and innovation. This emphasis implies the development of the student's ability to integrate and apply the subject matter. Students can be in Data Science concentration or Business Concentration. For Data Science Concentration, the majority of courses (more than 50%) should be in science and analytics. Same for the Business Concentration.

Program Length: 24 months

Semester Credit Hours (Credits): 30

Program Objectives:

• Students will demonstrate an understanding of business knowledge (principles, concepts, theories, perspectives) and skills (procedures, methods, strategies, approaches) for each business function/discipline, and of the interrelationships among business functions/disciplines.
• Students will demonstrate the capacity to identify problems, define objectives, gather and analyze information, evaluate risks and alternatives, make decisions that are ethical and responsible, and communicate clearly defensible ideas and plans. The decisions need to be based on the available data and data analysis, especially, based on the latest business analytics skills.
• Students will demonstrate the capacity to acquire information, and technologies of the high-tech industries, especially Artificial Intelligence and Data Science, so that they can make good planning based on the trend in technologies and leveraging on the data science to make better decisions.
• Students will demonstrate the capacity to work effectively and communicate with others as a colleague and as a manager.
• Students will demonstrate the capacity for continual self-managed learning for professional and career development.

A minimum of 30 semester credit hours of graduate study are required for the MBA program. The MBA curriculum includes coursework in the following categories: Core Requirements, Electives, and a Capstone Course.

Upon clearing background preparation work, students start to take courses to meet the degree requirements, beginning with the Core Requirements courses.

Upon completion of the study, graduates may obtain jobs in marketing analysis, data processing, financial analysis, etc. The following is a list of job classifications the MBA program prepares graduates for using the United States Department of Labor's Standard:

• 15-1199.08 - Business Intelligence Analysts
• 11-2021.00 - Marketing Managers
• 15-1199.10 - Search Marketing Strategists
• 13-1111.00 - Management Analysts
• 13-1161.00 - Market Research Analysts and Marketing Specialists
• 15-2031.00 - Operations Research Analysts
• 13-2099.01 - Financial Quantitative Analysts
• 11-3021.00 - Computer and Information Systems Managers
• 11-2022.00 - Sales Managers
• 43-4051.00 - Customer Service Representatives
• 11-1011.00 - Chief Executives

I. Core Requirements (21 credits) The following required courses provide a knowledge base of interdisciplinary business theories and techniques for the students who would like to pursue a career in business management with the concentration in Data Science. The students can select courses totaling 21 credits from the following list to fulfill the core requirements.

• MB590 Special Topics
• MB591 Seminars
• MB594 Effective Business Communication
• MB600 Python for AI
• MB602 Practical User Experience with AI
• MB604 Machine Learning Fundamental
• MB606 AI for Business
• MB610 Cloud Computing and Security
• MB614 Practical Project Management
• MB616 Business Intelligence & Analytics and Data-Driven Strategy
• MB620 Deep Learning with PyTorch
• MB622 NoSQL and Big Data Analytics
• MB624 Practical Digital Marketing
• MB626 Business Data Analytics & Visualization (Power BI / Tableau)
• MB627 Statistical Methods for Business Decisions
• MB628 Machine Learning for NLP
• MB629 AI Strategy and Solution Engineering for Business
• MB630 SQL and Database Systems
• MB632 Introduction to Cloud Computing
• MB634 Practical Organizational Behavior
• MB636 DevOps
• MB638 Deep Learning with TensorFlow
• MB640 Data Collection and Multivariate Analysis
• MB641 Product Management and Innovation (AI Product Management)
• MB642 Generative Artificial Intelligence
• MB644 Business Ethics
• MB646 A Practical Course on AI for Industrial Application
• MB648 ChatGPT application
• MB650 Strategic Marketing Management
• MB652 Prompt Engineering
• MB653 Cooperation Valuation and New Venture Financing
• MB654 Investment and Portfolio Management
• MB655 Financial Modeling and Forecasting
• MB656 Financial Management
• MB657 International Finance and Risk Management
• MB658 Accounting and Corporate Financial Management
• MB661 Leadership Foundations and Practice
• MB662 Digital Marketing with AI
• MB663 Advanced Leadership Development
• MB665 Global Logistics & Supply Chain Management
• MB666 Marketing Analytics
• MB668 Project Management with AI
• MB670 Business Law
• MB672 Innovation in Fintech
• MB674 Data Analytics using Alteryx
• MB676 Digital Marketing and Social Media Strategy with AI
• MB678 Sales Operations and Management
• MB680 Entrepreneurship & New Venture Creation
• MB690 Digital Content Creation Fundamental
• MB692 Video Production & Editing for Digital Platforms
• MB694 Content Strategy, & Distribution
• MB696 Generative AI for Content Creation
• MB698 Social Media Analytics & Performance Optimization
• MB699 Brand Partnerships, Monetization & Digital Community Building

II. Electives (6 credits) The students may elect any graduate-level courses to meet the electives requirement. The following are additional options for the elective courses:

Curricular Practical Training (CPT): When applicable, the student may take curricular practicum courses and engage in practical training to work on company projects that are directly related to the student's course of study. The student must observe the rules required for taking the practicum courses. No more than 6 credits of practicum coursework may be counted towards graduation. Part-time CPT is 1 credit, and full-time CPT is 2 credits. Part-time CPT together with 9 concurrent credits, or full-time CPT together with 6 concurrent course credits are considered full-time study. Each 1 credit of a practicum course requires at least 45 hours of practical experience related to the student's program curriculum.

• MB598 Business Administration Internship

III. Capstone Course (3 credits) (A required subject) Students are required to start the capstone project as early as possible and under the guidance of the school adviser, integrate the knowledge and skills learned from the courses taken during the program.

• MB599 Business Administration Capstone

IV. Graduation Requirements The Master of Business Administration degree program requires a minimum of 30 credits of graduate-level courses. The MBA degree program requires coursework in the following categories:

• Core Requirements,
• Electives, and
• A Capstone Course.

The following are required for graduation:

• Maintain a grade of C- or better for all courses taken to clear deficiencies or towards the degree requirements,
• Maintain an overall G.P.A. of 3.0 or better,
• Maintain good standing with the university – with clear financial, library, and other school records,
• The student is approved to graduate after filing a petition for graduation.