**Tuition fees have not yet been set for the 2021-2022 academic year. Topics include: linear programming and its applications; programming to achieve a set of goals or targets with applications in finance and production; capital budgeting and project selection; transportation and network models; and portfolio models. Download a Brochure Students will enrol in Fall and continue the course in Term 3 (Winter). An introduction to data science techniques designed for students who will work with data scientists or invest in related ventures. Alternative entry routes may be considered: Below is the list of courses you will study during the online Business Analytics degree: Examine large and varied data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other information for effective managerial business decision making. Libraries › Corequisite: MBAN 5120 1.50. Topics include value chain management, the concept of marketspace, business-to-business e-commerce, enterprise resource planning, and the effect of IT on R&D and collaboration, all in an international context. The Schulich Master of Business Analytics will provide you with the technical, quantitative expertise and strategic mindset to support data-driven business decision-making. I don't require a personal advisor. To receive further information about your selected programme, including upcoming webinars and programme highlights tick how we can contact you:Email MBAN Viewbook Admissions Events Application Tips. MBA Programs in Business Analytics and Big Data - Canada. They will directly interface with industry leaders and develop both technical and organizational expertise. This course examines business and corporate strategy. Research in your field of study The Institute for Data Valorization (IVADO) brings together industry professionals and academic researchers to develop expertise in the fields of data science, optimization (operational research) and artificial intelligence. The curriculum features coursework in business insights through analytics, big data, and statistics. This course enables the design, development, and implementation of integrated business analysis systems by combining the extended functionality of spreadsheets with the Visual Basic for Applications (VBA) programming language. Prerequisite: SB/ORGS 5100 3.00 or INTL 5220 for IMBA students, Research demonstrates that people and their ability to work effectively together are critical success factors for organizations. Home / Business, Technology and Public Relations / Business Intelligence and Data Analytics Curious minds can discover a diamond in the rough. Exceptionnally, given the current Covid-19 situation, the requirement to submit results of an admission test has been waived for candidates residing in China and Iran for the Fall 2021 admission, as the tests are not available online … Business Analytics. Lecturer, Master of Business Analytics and Master of Management in Artificial Intelligence, Lecturer, Master of Business Analytics and Master of Management in Artificial Intelligence, Instructor, Master of Management in Artificial Intelligence (MMAI) Program and Master of Business Analytics (MBAN) Program; Kellogg-Schulich Executive MBA ›, Post-MBA Diploma in Advanced Management › Proof of English language proficiency if studies were not completed in English. Post degree work experience is recommended but not required. To graduate, a student must achieve an overall GPA of at least 4.40. Topics covered include: defining deliverables, formulating project strategy, effective group organization and management, dynamically allocating resources, managing without authority, and resolving conflict. Book A Free Consulting Session. Meeting the minimum admission requirements does not guarantee admission, as space in each program is limited. We will get in touch with you over the phone to discuss your individual situation and programme of interest. Topics covered include product mix decisions, managing scarce resources, product costing and pricing, budgeting, and international transfer pricing. This deals with how the use of information technology supports the management of global operations. Note that course sequencing is subject to change. This course covers essential quantitative supply chain management models, supportive information and ecommerce technologies, environmentally and socially responsible practices and customer-supplier relationship management. CPA Ontario Chair in International Entrepreneurship; The general admission requirements for the MBAN are listed below. Acceptable scores on all measures of the GMAT or GRE, To send your scores for these tests to us please use the following codes: GMAT code Z75-X8-87 or GRE code 5697. Business Analytics › Prerequisite: SB/ECON 5100.030 and SB/OMIS 5120.015, This empirical methods course focuses on the statistical techniques that are most often used in the analysis of financial markets. The 9-month Master of Business Analytics (MBAN) provides graduates with the skills to apply advanced analytical tools and methods to address management challenges in today's diverse business, big data environment. dashboards and infographics) for displaying and summarizing information. Analytics and Business intelligence: the acquisition, storage, management, and analysis of huge amounts of data to improve efficiency, innovation, and decision making MSc CDA’s primary focus is to develop highly qualified computing and data analytics professionals who will drive innovation and organizational success. The Master of Science-Business Analytics trains students to create business strategies using data and statistics. This course provides a critical overview of the issues and methods involved in conducting empirical Operations Management (OM) research. An introduction to management accounting techniques that are useful in management decision-making situations such as cost management, pricing special orders, determining service levels and performance appraisal. Major areas for discussion include visual design principals, data structures, taxonomy of data visualization models and weekly technical tutorials using the Tableau software. The course provides the essential analytical foundations of risk management in a way appropriate for those who do not have a mathematical background. Relevant recent work experience (minimum of one year in a relevant field) – CV required, Prior experience in programming languages such as R and Python.