Business Information Technology Management (Artificial Intelligence Management Option)

​In this course, students will engage in an Integrated Entrepreneurial Project (IEP) which will be continued in BSYS 4000 Cloud Business Development 2. From the creation of a business idea to the construction of an e-commerce-enabled website, students will create a Cloud-based Internet presence which will culminate in a viable online business. Using the Lean Startup methodology, students will develop a business plan, a business model, and a technical design. In addition, students will research and manage business and regulatory requirements. Web design and development skills such as markup languages (HTML), dynamic Web application frameworks, and scripting languages will be used to build an online business web application.
Prerequisite(s):

• BSYS 2065

Artificial intelligence and machine learning (AI/ML) are emerging technologies that are disrupting every area of industry. Whether business intelligence, supply chain management, customer service, finance, or human resources, AI/ML management knowledge workers are required to design and implement AI solutions. This course provides a business perspective for integrating AI and ML into an organization’s business strategy. Students will explore the history of artificial intelligence, compare different AI algorithms, and evaluate the ethical implications of these technologies. AI/ML business models and techniques will be outlined, and the student will carry out simple machine learning experiments. The toolsets and frameworks that allow an artificial intelligence and machine learning (AI/ML) management knowledge worker to create a business solution without complex programming will be the focus of this course. The students will manage and train neural networks using various models and construct an image classification application.
Prerequisite(s):

• BSYS 2065

Big Data continues to have a significant impact on business. This course serves as an introduction to the key aspects of how business intelligence is used in current business practices. Students will build business intelligence knowledge through the practical hands-on development of data analysis software and other applications and apply this knowledge by analyzing information to make business decisions.
Prerequisite(s):

• BSYS 2000

This course provides an understanding of the relationships between information technology, information systems, business strategy, and organizational improvement. It will examine information technology as an enabler and facilitator of business strategy and as a control tool to track performance and improve managerial decision-making.
Prerequisite(s):

• BSYS 2065

This is an introductory course in the theory and application of consulting skills and problem solving. The intent of the course is to provide students with a set of tools that will help them solve unstructured business problems. While the course is not specific to the Information Technology industry, the methodologies taught are widely practiced by IT and Management Consultants
Prerequisite(s):

• No prerequisites are required for this course.

This course provides an introduction for managers to management accounting's role in planning, directing, and controlling operations in manufacturing and service organizations. The emphasis of the topic coverage is on methods for budgeting, product costing, and performance measurement, as well as on analytical techniques that can be applied to financial and operating data to support management decisions.
Prerequisite(s):

• FMGT 2100

This course provides students with an introduction to an area of management science that is sometimes called quantitative methods or operations research. The objective of this course is to have students develop an appreciation of the management science approach to problem formulation and solution that is now so important in today’s business and industrial sectors. The course focuses on quantitative approaches to decision making and introduces a variety of management sciences models, methods, and procedures. The major areas of study are linear programming (LP), simulation modeling, and forecasting. ​
Prerequisite(s):

• OPMT 1197 or an equivalent college level Business Stats course. Accessibility to and basic knowledge of personal computers.

The course offers basic knowledge of Canadian law with emphasis on how the law affects those in the computer industry. The course includes the law of tort, contracts, sale of goods, secured transactions, employment, intellectual property, partnerships and companies.
Prerequisite(s):

• No prerequisites are required for this course.

​In this course, students will continue to work on the Integrated Entrepreneurial Project (IEP) started in BSYS 3000 Cloud Business Development 1. Students will take the business web application developed in BSYS 3000 and build advanced functionality. The fully functional website will be tested and implemented in a live server environment using existing Cloud-based providers such as Amazon Web Services (AWS) and Microsoft Azure. After implementation and testing, students will develop and apply a web marketing plan. Online advertising and analytics, social media, affiliate programs, and planning for mobile applications and devices will also be covered. Upon completion of the course the student will have a viable Cloud-based e-commerce business.
Prerequisite(s):

• BSYS 3000

In this course, students will continue to develop the skills from BSYS 3001 Artificial Intelligence Management 1. The business use cases of deep learning will be evaluated, and students will compare supervised, unsupervised and reinforcement machine learning models. The different types of neural networks, constraint and optimization problems, and search techniques will also be investigated. Other deep learning tools will be explored as the student applies these techniques to business process management. The focus will be on artificial intelligence/machine learning (AI/ML) business solutions that can be implemented and managed without unnecessary technical complexity. Upon completion of the course the student will be able to manage AI/ML implementation projects.
Prerequisite(s):

• BSYS 3001

In this course, students will apply the artificial intelligence and machine learning (AI/ML) management skills developed in BSYS 3001 Artificial Intelligence Management 1. This is a practical project-based course where the students will have the opportunity to build ML use cases in various fields such as health care, self-driving cars, and banking. The focus is to use the latest solutions in Deep Learning (DL) in Supervised, Unsupervised, and Reinforcement Learning (RL) platforms. This course will use Python programming language and leading AI/ML research platforms.
Prerequisite(s):

• BSYS 3001

Designed to give students practical application of concepts learned in major program areas by engaging in problem solving projects in business or government.
Prerequisite(s):

• Successful completion of Levels 1, 2 and 3 courses (may be short one Level 3 course).

Analyses business strategy formulation to give the student practical experience and confidence in handling complex business situations. Comprehensive business cases will be selected in fields such as finance, control, personnel, production, marketing, and general management. Acquaints the student with management decision-making and effective verbal and written business analysis. Teamwork and organizational change are addressed as elements of strategy implementation.
Prerequisite(s):

• 50% in BUSA 2005 or 50% in BUSA 2100
• Departmental approval needed to register in this course. Course registration is restricted to students that have completed a minimum of 30 credits of coursework in business programs and completed BUSA 2005. To be considered for registration approval, please email the Business Administration Part Studies Program Assistant at Kim_Petkov@bcit.ca **Full-time day school students in the School of Business may not enroll in this course without the express consent of their day school Program Head.**

Adequate financing from the most appropriate sources can often mean the difference between life and death to a small or even medium sized company.      The ability to present a case to lenders or equity investors for funding is central to the acquisition or development of a business. This course begins with explanation of the basic techniques used by firms in efficiently allocating resources and raising funds to pay for those resources on as favorable terms as possible. Based on these fundamental techniques, the course then provides a framework for the basic evaluation and selection of the most appropriate financing techniques which are available to mature businesses, growth businesses and start up situations. The course will outline the essential components of successful funding presentations or requests. Beginning with clear definitions of the types of businesses one is likely to deal with (e.g. mature, fast growth or start up) the course discusses key operating factors such as cash flow, business plan and management skills in the context of available financing alternatives. Based on fundamental business analysis, the course will impart to students the fundamentals of raising funds. Various sources of funding, the manner in which they should be approached, the documentation they require, their own unique constraints, and the practicalities of combining financing alternatives are outlined within the context of various business types. Funding alternatives discussed will include effective working capital management, short and long term bank financing, vendor financing, mezzanine finance, venture capital and public market financing. This course will lay a clear framework in which students will be able to clearly identify key financing issues. At the completion of this course, participants will clearly understand the fundamentals of business financing and will have a clear understanding of the role professional advisors such as accountants, lawyers and financial players play in developing effective financing strategies.
Prerequisite(s):

• FMGT 3221

This course prepares the student for managing complex projects using a structured project management methodology. Five project management process groups (initiating, planning, executing, monitoring/controlling, and closing) and the Project Management Institute’s PMBOK (Project Management Body of Knowledge) provide a framework for advanced project management. This course prepares the student for the PMI’s Certified Associate in Project Management (CAPM) certification exam.
Prerequisite(s):

• OPMT 1170