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For more information about the Faculty offering these courses, see the Haskayne School of Business: .
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Business Intelligence and Management Analytics
610
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Data Management and Business Analytics
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Covers organizing, storing, and managing available data using relational database technologies and generating insights through business analytics techniques.
Course Hours:
3 units; (3-0)
Prerequisite(s):
Admission to the Graduate Certificate in Business Intelligence and Data Analytics.
Also known as:
(Business Technology Management 631)
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Business Intelligence and Management Analytics
611
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Enterprise Analysis
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Course focus is on enterprise analysis and management of IT-enabled solutions to business problems. Emphasis is placed on problem identification, requirements determination, process analysis, enterprise architecture design and IT auditing using the COBIT framework.
Course Hours:
3 units; (3-0)
Prerequisite(s):
Admission to the Graduate Certificate in Business Intelligence and Data Analytics.
Also known as:
(Business Technology Management 635)
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Business Intelligence and Management Analytics
612
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Data Analytics I
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Covers tools and methods used in data analytics to discover, collect, organize, and clean data to make it ready for analysis. Software packages used to clean and organize the data for analysis will be introduced, as well as software to enable users’ understanding of the data that is collected.
Course Hours:
3 units; (3-0)
Prerequisite(s):
Admission to the Graduate Certificate in Business Intelligence and Data Analytics or the Graduate Certificate in Management Analytics.
Also known as:
(Business Technology Management 636)
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Business Intelligence and Management Analytics
613
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Data Analytics II
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Covers tools and methods used in data analysis. Focus is on analytic and mapping methods, such as data mining, text mining, machine learning, social network analytics and preference mapping, and their
application to business data analytics.
Course Hours:
3 units; (3-0)
Prerequisite(s):
Admission to the Graduate Certificate in Business Intelligence and Data Analytics.
Also known as:
(Business Technology Management 637)
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Business Intelligence and Management Analytics
620
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Predictive Analytics in Business
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Application of data-driven predictive models to solve real-life business problems in operations, marketing, finance and other business functions. Techniques covered include decision trees, classification and association rules, and cluster analysis.
Course Hours:
3 units; (3-0)
Prerequisite(s):
Admission to the Graduate Certificate in Management Analytics.
Also known as:
(Operations Management 631)
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Business Intelligence and Management Analytics
621
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Marketing Analytics
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Developing and implementing marketing strategies driven by data analytic techniques. The course will integrate key marketing concepts with segmentation analytics and social media analytics.
Course Hours:
3 units; (3-0)
Prerequisite(s):
Admission to the Graduate Certificate in Management Analytics.
Also known as:
(Marketing 631)
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Business Intelligence and Management Analytics
622
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Prescriptive Analytics in Business
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Advanced quantitative decision-making and problem-solving skills in business environments with data and fact-based analysis. Techniques such as data-driven optimization, deterministic and probabilistic modeling, and simulation are covered through case studies.
Course Hours:
3 units; (3-0)
Prerequisite(s):
Admission to the Graduate Certificate in Management Analytics.
Also known as:
(Management Studies 631)
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Business Intelligence and Management Analytics
623
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Supply Chain Analytics
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Optimal design and management of supply chains with analytical tools. Topics include network design, inventory management, transportation, contracting, coordination and collaboration, capacity management, and customer-supplier relations.
Course Hours:
3 units; (3-0)
Prerequisite(s):
Admission to the Graduate Certificate in Management Analytics.
Also known as:
(Supply Chain Management 631)
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Business Intelligence and Management Analytics
624
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Analytics of International Business Environment
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A data-driven approach to the analysis of international business environment. Use of data analytics to appraise emerging trends in a country/region/world business environment and derive strategic implications for business enterprises.
Course Hours:
3 units; (3-0)
Prerequisite(s):
Admission to the Graduate Certificate in Management Analytics
Also known as:
(Strategy and Global Management 631)
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Business Intelligence and Management Analytics
625
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FinTech
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An understanding of fast-moving recent technological improvements in various industries and how they change the conventional thinking and trading in the banking and finance industry.
Course Hours:
3 units; (3-0)
Prerequisite(s):
Admission to the Graduate Certificate in Management Analytics.
Also known as:
(Finance 631)
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Courses of Instruction