1. What can I do with an MBA degree? An MBA degree can lead to better career paths and to more challenging but fulfilling roles in management. It also gives a person an advantage in the job market.
2. How long does it take to study an MBA? Full-time students can complete the program in 2 years; part-time student may complete it in 3-4 years.
3. Do I need a GMAT or GRE scores to apply? At WCU, we assess our applicants wholistically and on their potential, so GMAT and GRE are waived

Why Study at WCU?

At WCU, we believe in the potential of every student.  So, our business school is focused on what our students can become by developing their skills in diverse areas of management and information systems rather than dwelling on the theories.

Our Master of Business Administration (M.B.A.) has two tracks: M.B.A. in Global Business and M.B.A. in Information Technology. Both programs are tailored to give our students more than just a degree but a transformation by immersing them in a multicultural learning environment and global approaches in management.  We link our students to a network of international industries and organizations that can sharpen them as effective and efficient decision-makers, solution-centered and creative problem solvers, people-oriented and team players, and strong-willed business leaders.

Professional Elective

Course Name
Units

Introduction to computer system for business practices

4

Software Engineering

4

Information management principles -CIO and DBA

4

Beginning programming Languages – Overview, python and Java

8

Business Application software – ESA, ERP, CRP and OLAP

4

Database Management – Database model and DBMS

4

Data Science  : Big data analytics

4

Networking and architecture – LAN, TCP/IP

4

Cyber security – principles, malware control, cryptography

4

Cyber ethics seminar

2

Blockchain and web3

4

Principles of Online Commerce

4

General Elective

Course Name
Units

Introduction to operating systems

4

Overview of Artificial Intelligence

4

Multivariate statistics

4

Neural Network (NN)

4

Machine learning and Deep learning

4

Linear programming for strategic planning

4

Genetic Algorithm and business application

4

Object Oriented Software Engineering

4

Survey of future technology—AI, agriculture, energy, environment science, ecology

4

Required Courses

Course Name
Units

Foundation of Teamwork and leadership

4

Marketing management

4

Microeconomics for managers

4

Statistics –presentation, time-series

4

Management communication

4

Program Requirements:

Required Courses = 20 units
Professional Elective Courses = 20 units
General Elective Courses = 10 units

Total = 50 units

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professional elective

Introduction to computer system for business practices

Computer literacy course to cover the historical aspects of computer system technologies including hardware, .

software, database and networking. Also covered will be the ethical, legal, and social issues associated with computer system usage and information security. The course will try to introduce recent developments in the field for up-to-date information

Software Engineering

For a reliable and adaptable computer system, high quality of every software is essential. This on-time delivery of 

quality software is possible by the “Engineering” approach to the production of software. This course delivers the detail of both the principles and practice of software engineering. This field is very dynamic where new methods are continually innovated as will be covered in this course.

Information management principles -CIO and DBA

Modern management environment mandates the active role of CIO (Chief Information Officer) who is in charge 

of planning, operation and future expansion of IT needs of that organization. Also essential is the role of DBA (DataBase Administrator) who oversees the database operation starting from acquisition plan of data to analysis and report generation. This course trains future CIOs and DMAs which are in high demand at the job market.

Beginning programming Languages – Overview, python and Java

To interact with computer in any level of sophistication, programming 

languages like Java or Python is heavily used. As the software development environment has been changed drastically, those de facto programming languages have evolved over the years but the programming principles are largely same. This two quarter course trains students with programming skill using most popular languages, Java and Python. But at the end of course series, another popular programming language group known as script language will be covered. This includes PHP and JavaScript.

Business Application software – ESA, ERP, CRP and OLAP

Of plethora of computer software packages, there are many software packages that are very relevant to 

business environment and familiarizing with these types of software are essential for managers. In this course, major business application software packages,  ESA (Enterprise Software Application), ERP (Enterprise Resources Planning), CRP (Customer Relationship Program)  and OLAP (OnLine Analytical Processing) will be covered and students will be prepared with the knowledge of highly sophisticated business software. 

Database Management – Database model and DBMS

Database is a very essential part of any organization where a large quantity of information is collected 

and managed. Modern day databases follow a relational database model but are migrating towards Object Oriented database models. This class covers the basics of database concept, historical prospect and data definition language(DDL) and data manipulation language(DML) of major database software (DBMS).

Data Science  : Big data analytics

Data Science is an interdisciplinary field of study which uses scientific processes, approaches, methods, 

systems and algorithms to extract requisite insights and information from structured and unstructured data. In this course, three distinct but related areas of data science will be covered –Big data, machine learning and data modeling. Some relevant statistical methods will also be covered.

Networking and architecture – LAN, TCP/IP

Networking is a broad field with active new innovations. This foundation course covers basic terminologies and 

usage related to information networking including LAN (Local Area Network) to internet. The basic protocol known as TCP/IP will be covered in detail. More recent developments such as NFC(Near Field Communication) and PAN (Personal Area Network) will also be covered.

Cyber security – principles, malware control, cryptography

Many aspects of cyber security including cryptography, network security, application security, and web 

security. Traditional topics such as buffer overflows, intrusion detection, packet analysis, and malware will be discussed. Coverage of unorthodox topics including privacy, incident handling, forensics and anti-forensics, legal issues, politics, electronic voting, and security in emerging technologies will be made.

Cyber ethics seminar

As the power and impact of IT and communication system increases constantly, this convenient tool for

our daily operation can be abused and can cause a serious problem. This seminar course is to give students an opportunity to realize this problem and solution.

Blockchain and web 3

Emerging at the beginning of 21st century, Blockchain is heralded as the third generation of internet which will 

revolutionize the power of internet community. This course introduces to the concept of blockchain—its data structure and related algorithms including block chaining, consensus, mining and reward methods. Detailed coverage of Bitcoin architecture and future of advanced blockchain structure with their use cases will be covered.

Principles of Online Commerce

This course provides broad based but balanced coverage of both the business and technology elements of 

eCommerce. This course presents concepts and skills for the strategic use of e-commerce and related information system technologies. Provides a framework for the analysis of e-commerce solutions to issues surrounding business-to-business, business to consumers, and intra-organizational trade.

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General elective

Introduction to operating systems

The course examines the important issues in operating system design and implementation. The operating system 

provides an established, convenient, and efficient interface between user programs and the bare hardware of the computer on which they run. The course will survey historically important OS products including Unix, IBM-OS, MS-OS and Linux operating systems.

Overview of Artificial Intelligence

Overview of the different application areas of AI will be covered. Introduction to basic AI concepts and 

techniques such as heuristic search, knowledge representation, automated reasoning are included. In-depth discussion of several AI application areas will be given : their specific problems, tools and techniques. Emphasis will be on the newer trends in neural network and machine learning.

Multivariate statistics

To understand the complexity and sophistication of neural net (NN), Machine Learning (ML) and 

Deep Learning (DL) in artificial intelligence field, good knowledge of statistics, especially multivariate statistics is essential. The technique includes Principal Component Analysis (PCA), Discriminant Analysis, Multiple Analysis of Variance (MANOVA) and Cluster Analysis. This is a challenging course but rewarding to understand the detailed working of modern AI fields.

Neural Network (NN)

Techniques for the design of neural networks for machine learning. An introduction to deep learning. 

Emphasis on theoretical and practical aspects including implementations using state-of-the-art software libraries.

Explain the basic concepts behind Neural Networks including training methodologies using backpropagation, and the universal approximation theorem and explain the basic concepts associated with the various network structures. Network models including Convolutional Neural Networks (CNN), Recurring Neural Networks (RNN), Autoencoders (AE), Generative Adversarial Networks (GAN), and others.

Machine learning and Deep learning

This course is to develop practical knowledge and skill of machine learning and deep learning discipline 

which are essential to understand contemporary practices of AI field in general. The course will cover theoretical basics of broad range of machine/deep learning concepts and methods with practical applications to sample datasets via programming assignments.

Linear programming for strategic planning

To solve complicated problems of decision making frequently encountered in strategic planning, 

enterprise management, military logistic and human resources handling, Linear programming is a historically proven approach to obtain optimum solution in the face of complex and interlocked constraints. This course covers both the theory and practices using ADMB and GEKKO software packages. 

Genetic Algorithm and business application

This course introduces the student to basic genetic algorithms, which are based on the process of natural 

evolution. It is explored in terms of its mathematical foundation and applications to optimization in various domains. Main emphasis of course is to adapt genetic algorithm to business application.

Object Oriented Software Engineering

Modern software engineering follows object-oriented approaches as other fields of computer science such as 

database, programming languages and operating systems do. It was proven that OOSE is more productive and customer-friendly method in producing software. This course will also cover Agile approaches in the software process which benefits business managers in handling other decision making and production processes.

Survey of future technology—AI, agriculture, energy, environment science, ecology

The world is changing fast due to the innovation and new vision of technology. Current Industry 4.0 

movement produces new technologies in so many different fields at a blinding speed and just catching up is a big challenge. Using lecture, reading assignment, presentation and discussion mode, this course will survey the new developments in the fields of ICT, AI, food production and energy issue. Further on, we will discuss the impact of such technological advances to the environment and ecology to make sure our future generation can have a comfortable living condition

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Required Courses

Foundation of Teamwork and leadership

Most essential characteristic of a manage is the leadership which can promote and advance the spirit

and skill of teamwork. In this course, theoretical understanding of teamwork and essential leadership skill and attitude will be covered and students will learn the trade by practices in-class and by practical training.

Marketing management

Theory and case study of marketing management practices. This course will develop skills to apply analytical 

concepts and marketing tools to decisions making for segmentation and targeting, branding, pricing, distribution, and promotion. Computerized adoption of marketing will be emphasized and cutting-edge development of internet technologies relevant to the marketing management will be covered.

Microeconomics for managers

Master the basic theory of microeconomics: supply-demand, consumer behavior, market price and 

output, production, cost, simple competitive market equilibrium, simple monopoly pricing and output determination, price discrimination, and bundling. Also apply microeconomic theory to firm management and learn how to use microeconomics to enhance decision making. Topics include: sophisticated pricing policies, transfer pricing, strategies for dealing with competitor firms, cooperation strategies, managing under uncertainty, and more.

Foundation of Teamwork and leadership

Modern day management requires good team effort for best and most efficient outcome. This course introduces to the 

concepts and practical aspects of teamwork including the formation, monitoring, communication, problem solving, decision-making by teams.  Also examined will be the possibilities of conflicts within and between teams and seeking most positive way to resolve conflicts and further develop into better performance. By this course, you acquire the necessary knowledge and insights for better management and will examine how to develop most productive leadership in the organization.

Marketing management

This course covers very basic and essential topic of marketing management which is extremely important in modern 

business management. Main purpose of this course is to understand the role and importance of marketing in the organization of different sizes. The course introduces how to assess market potential by understanding the behavior of customers in normal and extreme situations. importance of marketing communication, the role of distributors, retailers and other stake holders. The subject of Supply Chain will be covered in detail and pricing rules for the merchandises or services will be understood.

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