The Master of Management in Analytics (MMA)听is a specialized program with a strong emphasis on experiential learning and is available in both in-person and online formats.
The MMA curriculum strikes a balance between advanced statistics, technology, and business strategy to give students a broad range of practical skills and perspectives.
The 3 pillars of MMA
| Advanced Statistics |
Technology |
Business Strategy |
|
Machine Learning
Resampling
Methods
Optimization
|
Coding with R/Python/SQL
Cloud Infrastructure
Technology Stack
|
Consulting Discovery
Solution Development
Data Visualization
|
Program Structure
The program duration ranges from 1 year (MMA in-person) to 1.5 years (MMA Online). In addition, the MMA (in-person) also offers a 1.5-year option that includes an internship for students interested in gaining additional professional experience prior to graduation.
听
| MMA In-Person |
| 1 year |
| Core Module |
Elective Module |
| Experiential Module |
| MMA Online |
| 1.5 year |
Core Module |
Elective Module |
| Experiential Module |
Starting term
The MMA program's online delivery intake is for the winter term, while its in-person delivery is for the summer term.
MMA Consists of 3 modules
Core Module (21 credits)
Designed to build your statistical problem-solving acumen and teach the Technical fundamentals of: Data analytics, Decision analytics, Team management, and Leadership.
The Complementary Course Module (15 credits)
The MMA program is considered industry agnostic. Thus, our complementary courses are designed to expose students to a variety of topics such as marketing, retailing, supply chain, healthcare, security, pricing, talent and network analytics. Sample courses include: Introduction to Artificial Intelligence, Deep Learning, Enterprise Analytics using Cloud Computing, Social Media Analytics, Healthcare Analytics, and Revenue Management.
The Experiential Module (9 credits)
惭惭础鈥檚 experiential module is designed to provide students with the experience of hands-on application of the concepts taught in real world settings and the opportunity to interact with practitioners in leading analytics organizations.
- Capstone management analytics project (10 months)
- Community analytics project option
- Internship option (with approval from the program)
Program delivery
Required courses (in-person delivery)
Required courses for students听enrolled in the in-person program format.
Core Module (Domain-Agnostic)
18 credits from the following:
INSY 660
Coding Fndtns for Analytics
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Information Systems: Students will be exposed to a broad set of topics, including fundamentals of computer programming, coding for data acquisition and data manipulation, and specific operational issues related to 鈥渂ig data鈥� analytics. Course material will also cover data privacy, security, and ethical issues.
Offered by: Management
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **No web drop allowed
- **Web withdrawal not applicable.
- **Web ADD only.
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
INSY 661
Data & Dist Sys for Analytics
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Information Systems: This course will present the student with many key concepts relating to database technology, how database technology is being used for managing large datasets,
and the opportunity to put these concepts to practice. This course will cover database management system (DBMS) concepts, database architecture, database
design using entity-relationship (ER) modeling, data storage, file organization, the SQL language, normalization, data integrity, database security, data warehousing, and big data related technologies such as NoSQL, Hadoop, MapReduce, Pic, and Hive.
Offered by: Management
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the fourth lecture day
- **Web ADD only.
- **No web drop allowed.
- **Web withdrawal not applicable.
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
INSY 662
Data Mining and Visualization
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Information Systems: The course will teach practical analytics methods and use R (a tool widely used by data analysts) to provide hands on experience on the data mining techniques covered in the class. The focus of the course is on the application of the tools and techniques rather than learning the theory and math behind the models. This course builds upon concepts of data manipulation and coding seen in INSY 660 and covers these tools and techniques in much more depth. Students will be exposed to real world datasets and examples to get hands-experience with making business decisions using dating mining and predictive analytics, and provide R
code to apply the predictive models learned in class. At end of this course students will be comfortable using different data mining techniques to solve business problems on their own using R.
Offered by: Management
MGSC 660
Math&Stat Fndtns for Analytics
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Management Science: This course consists of two parts: (i) The first half of the course focuses on probabilistic and statistical foundations of data analytics. At the end of this part, students will have the mathematical knowledge in following topics: probabilities, random variables, the Central Limit Theorem; prior and posterior distributions, and Bayes鈥� rule; correlation, and Sampling. (ii) The second half of the course focuses on mathematical foundations of decision analytics. At the end of this part, students will have the mathematical knowledge in following topics: linear algebra; calculus of several variables; convexity; separating hyperplanes; unconstrained and constrained optimization; lagrange multipliers.
Offered by: Management
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the fourth lecture day.
- **No web drop allowed.
- **Web withdrawal not applicable.
- **Web ADD only
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
MGSC 661
Multivariate Statcl Analysis
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Management Science: The course will begin with the standard linear regressions, and extend to multivariable regression models, factor analysis, principal components, selection
models, and dynamic and nonlinear multivariate data methods. Students will be exposed to a broad range of techniques and applications in business analytics through conducting their own statistical analyses.
Offered by: Management
MGSC 662
Decision Analytics
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Management Science: This course teaches quantitative methods used in business decision making. Topics include: optimization models, optimization under uncertainty, and simulation.
Business applications of these techniques are emphasized. Students in this course will acquire expertise in quantitative methods for decision making, through computer analysis of real-life problems.
Offered by: Management
3 credits from the following:
ORGB 660
Managing Data Analytics Teams
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Organizational Behaviour: In this course, students will learn to: understand barriers to effective work in teams or more broadly in organizations; develop a collaboration style and learn
about themselves as team members and leaders 鈥� what are their strengths, what can they improve on; learn how to jointly develop a vision and superordinate goal;
develop skills in team communication, using the 鈥榩ower of framing鈥�; build effective working relationships with diverse individuals and groups; become familiar with common organizational functional areas, their analytics perspectives, and their role in cross-functional teams.
Offered by: Management
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **No web drop allowed.
- **Web withdrawal not applicable.
- **Web ADD only.
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
ORGB 661
Ethical Ldrshp& Leading Change
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Organizational Behaviour: Students will learn to: excel in the practice of distributed and shared leadership, critical to contemporary business; develop a collaboration style and learn about themselves as leaders 鈥� their strengths, areas for improvement; learn how to jointly develop a vision and superordinate goal; establish guidelines, protocols, and criteria for leading change and for the respectful and ethical collection,
storage, and use of data derived from others; develop their capacity to lead across hierarchical levels, including 鈥榣eading upwards鈥�; understand how leadership is necessary for resolving 鈥榳icked problems鈥� (problems that require leadership, not management).
Offered by: Management
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day
- **No web drop allowed.
- **Web withdrawal not applicable.
- **Web ADD only.
Complementary courses (in-person delivery)
Complementary courses for students enrolled in the in-person program format.
Experiential Module
6 credits from the following:
Students take either BUSA 693 D1 and BUSA 693 D2 or Busa 693 N1 and BUSA 693 N2.
BUSA 693D1
Anlytcs & Soln Consultng Pract
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Business Admin: Data science teams working with a dedicated client to solve data/analytics challenges,
including building an analytically-accurate and technically-automated solution.
Offered by: Management
BUSA 693N1
Anlytcs & Soln Consultng Pract
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Business Admin: Data science teams working with a dedicated client to solve data/analytics challenges,
including building an analytically-accurate and technically-automated solution.
Offered by: Management
- Students must also register for BUSA 693N2
- No credit will be given for this course unless both BUSA 693N1 and BUSA 693N2 are successfully completed in a twelve month period.
- Prerequisite(s): INSY 660, INSY 661, INSY 662, MGSC 660, MGSC 661, MGSC 662, ORGB 660, ORGB 661.
- **This course will be held on August 5, 7, 9, 12, 14, 16, 21, 22 & 30.
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **No web drop allowed.
- **Web withdrawal not applicable.
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
BUSA 693N2
Anlytcs & Soln Consultng Pract
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Business Admin: See BUSA 693N1 for description.
Offered by: Management
- Prerequisite: BUSA 693N1
- No credit will be given for this course unless both BUSA 693N1 and BUSA 693N2 are successfully completed in a twelve month period
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
3 credits from the following:
BUSA 600
Analytics Internship
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Business Admin: An on-the-job experience in a corporation or organization supervised by an academic faculty member. The learning objectives of this course is to allow the student to put into practice elements that they have learned throughout the program, to gain formal work experience.
Offered by: Management
- Prerequisite(s): INSY 660, INSY 661, INSY 662, MGSC 660, MGSC 661, MGSC 662, ORGB 660, ORGB 661
- Restriction(s): Students must obtain Instructor鈥檚 or Academic Director approval in writing before registering to this course.
- Topics of internship work will vary from employer to employer. Students will need to submit a work proposal to the instructor for approval prior to registering for this course.
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
BUSA 649
Community Analytics Project
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Business Admin: Analytics project in a small-/medium-sized organization focusing on the application of the concepts of real-world analytics problems that organizations without large
budgets deal with.Analytics project in a small-/medium-sized organization
focusing on the application of the concepts of real-world analytics problems that organizations without large budgets deal with.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
Elective Module (Domain-Specific)
15听 credits from the following:
BUSA 613
Indep. Studies in Analytics 2
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Business Admin: Procuring of real data to perform a data-centric analysis for an organization or research institution. Under the mentorship of the instructor(s), students will focus their project deliverables on all of the following domains: data management, value proposition, analytic formulation, solution development and user application.
Offered by: Management
- Prerequisite(s): BUSA 693, INSY 660, INSY 661, INSY 662, MGSC 660, MGSC 661, MGSC 662, ORGB 660, ORGB 661
- Restriction(s): Students must obtain Instructor鈥檚 approval in writing before registering to this course.
- Before the instructor agrees to supervise the student, the student must submit a proposal form for approval.
- Data Handling Agreement/ Non-Disclosure Agreement must be signed by students.
BUSA 684
Analytics Study Trip
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Business Admin: The course will be delivered through a combination of site (company) visits, guest lectures of top-level executives, as well as daily student reflections. It may also be combined with an analytics-related conference held in the location of the visit. Students will be required to study such practices in depth, complete a project
related to organizational practice excellence in analytics and write a reflection paper.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
FINE 675
FinL Val Anlytcs for Startups
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Finance: Introduction to finance with an emphasis on analytics, focusing on how the merger of analytics and finance plays a first order role for startups and the decision to
accelerate growth.
Offered by: Management
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **Web ADD only.
- **No web drop allowed.
- **Web withdrawal not applicable.
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
FINE 695
Adv Topics in Fin Analytics 1
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Finance: Advanced topics in finance analytics. Content will vary each term.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
FINE 696
Adv Topics in Fin Analytics 2
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Finance: Advanced topics in finance analytics. Content will vary each term.
Offered by: Management
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **Web ADD only.
- **No web drop allowed.
- **Web withdrawal not applicable.
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
INSY 669
Text Analytics
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Information Systems: Introduction to the basics of text mining and text-based predictions, including leading scripts/packages/libraries like SentiStrength (for sentiment analysis), categorization
and classification of a variety of documents. The application of text analytics in solving real-world busines problems.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
INSY 670
Social Media Analytics
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Information Systems: Methods and tools to leverage the power of social media, with a focus on a variety of
questions ranging from strategic to operational matters pertaining to firms鈥� social media initiatives, metrics to capture relevant outcomes, and predictive analytics to link social media chatter to business performance.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
INSY 671
Analytics and Open Innovation
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Information Systems: This course provides a comprehensive introduction to the use of data analytics in the context of open innovation. Students will draw from existing knowledge from prior courses in the Masters program as well as learn new tools and techniques that can be applied to answer realworld questions about open innovation.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
INSY 672
Healthcare Analytics
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Information Systems: Students will get hands-on experience with real-world datasets to examine how data analytics can be used to predict and understand disease outbreaks, how analytics can be used to improve the operation of hospitals, and the manner in which analytics can be used as decision support for physicians to diagnose and treat patients. By the end of the course, students should be able to develop
an appreciation on the changes that are taking place in the provision of healthcare services due to analytics and the role and opportunities for analytics to reduce cost and improve quality of healthcare in their communities.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
INSY 673
Security Analytics
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Information Systems: This course provides a comprehensive introduction to data analytics in the context of information security. Students will understand how to leverage data analytics
to help in visualizing, detecting, and analyzing information security data. Students will be exposed to real-world datasets and tools and techniques that can be applied to analyze those data.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
INSY 695
Adv Topics in IS 1
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Information Systems: Current emerging topics in information systems. Course content will vary each term.
Offered by: Management
- Terms
- Instructors
- Fatih Nayebi
- Fatih Nayebi
MGPO 695
Adv Topics in Strategy Anlytcs
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Management Policy: Current topics in strategy analytics. Course content will vary each term.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
MGSC 670
Revenue Management
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Management Science: This course will introduce students to revenue management (RM) practices in air transportation, hospitality (hotels, cruises, theme parks, casinos), car rental, media, broadcasting, natural-gas storage and transmission, electricity generation and transmission, and show business (concerts, theaters, sport events). Most
applications are recent and made possible by the advances in technology, data and decision analytics. However, there are issues of legality and customer backlash for charging different prices for virtually the same product. The course will touch upon these issues as well. Topics covered include capacity allocation,
network management, overbooking, markdown pricing, and customized pricing.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
MGSC 672
Ops and Supply Chain Analytics
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Management Science: The course covers analytical models that explore the key issues associated with the design and management of supply chains. A considerable portion of the course is devoted to data-driven decision models that treat uncertainty explicitly. Topics include supply network design, inventory centralization, value of information, and
contracts.
Offered by: Management
- Prerequisites: (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **During the last week, there will be a make-up class on Thursday, May 28th.
- **Web ADD only.
- **No web drop allowed.
- **Web withdrawal not applicable.
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
MGSC 673
Intro to AI & Deep Learning
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Management Science: Introduction to deep learning, through its use of neura networks, to learn from data and tasks such as classification, forecasting, data generation. The basis of
deep learning up to the applications of the most recent research. Use of deep learning in a production environment, and leveraging techniques such as: Keras, hyperparameter tuning, image classification methods, back propagation, LSTMs, and Autoencoders.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
MGSC 695
Adv Topics in Mgmt Science 1
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Management Science: Current emerging topics in operations management. Course content will vary each term.
Offered by: Management
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **Web ADD only.
- **No web drop allowed.
- **Web withdrawal not applicable.
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
MRKT 671
Advanced Marketing Analytics
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Marketing: The course will introduce students to advanced marketing analytic techniques available to managers and give them hands-on experience on using these with actual datasets. The major learning vehicle will be lectures with step-by-step exposition of analytical techniques with actual data. These will be then complemented with cases involving data analysis. Topics covered include customer and product analytics techniques.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
MRKT 672
Internet Marketing Analytics
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Marketing: What makes internet marketing different? Introduction to internet marketing - search engine optimization. Inbound marketing - search advertising and privacy concerns. Online tracking and privacy issues.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
MRKT 673
Pricing Analytics
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Marketing: Introduction and basics of price-response functions and pricing optimization. Using data to estimate demand models. Value-based pricing, consumer valuations,
personalization. Tactics of price differentiation. Pricing with constrained supply. Team project consultation.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
MRKT 674
Retail Analytics
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Marketing: This course will cover the following topics: loyalty program data analysis, assortment planning and category management, market basket analysis, Store location and trade area analysis, and forecasting and buying decision.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
MRKT 696
Adv Topics in Mrktg Analytics
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Marketing: Current emerging topics in marketing analytics. Course content will vary each term.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
ORGB 671
Talent Analytics
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Organizational Behaviour: Learning objectives: to gain experience in collecting and integrating performance and personnel outcome data; to develop and practice skills needed to analyze these types data; to cultivate knowledge and an understanding of the potential and limitations of talent analytics; to become able to apply the skills and knowledge from class to future organizational settings.
Offered by: Management
- Prerequisite: (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **During the last week, there will be a make-up class on Thursday, May 28th.
- **Web ADD only.
- **No Web Drop.
- *Web withdrawal not applicable.
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- Brian Rubineau, Roman Galperin
ORGB 672
Org Network Analysis
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Organizational Behaviour: Learning objectives: to gain experience in collecting and representing organizational network data; to develop and practice the skills needed to analyze network data; to cultivate knowledge and understanding of how social networks are related to consequential organizational outcomes; to become able to apply the skills and knowledge from class to future organizational settings.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
ORGB 695
Adv Topics in Org Behaviour
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Organizational Behaviour: Current emerging topics in organizational behaviour. Course content will vary each term.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
Required courses (online delivery)
Required courses for students enrolled in the online program format.
Core Module (Domain-Agnostic)
18 credits from the following:
Primarily async with extensive tutorials
INSY 660
Coding Fndtns for Analytics
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Information Systems: Students will be exposed to a broad set of topics, including fundamentals of computer programming, coding for data acquisition and data manipulation, and specific operational issues related to 鈥渂ig data鈥� analytics. Course material will also cover data privacy, security, and ethical issues.
Offered by: Management
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **No web drop allowed
- **Web withdrawal not applicable.
- **Web ADD only.
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
INSY 661
Data & Dist Sys for Analytics
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Information Systems: This course will present the student with many key concepts relating to database technology, how database technology is being used for managing large datasets,
and the opportunity to put these concepts to practice. This course will cover database management system (DBMS) concepts, database architecture, database
design using entity-relationship (ER) modeling, data storage, file organization, the SQL language, normalization, data integrity, database security, data warehousing, and big data related technologies such as NoSQL, Hadoop, MapReduce, Pic, and Hive.
Offered by: Management
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the fourth lecture day
- **Web ADD only.
- **No web drop allowed.
- **Web withdrawal not applicable.
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
INSY 662
Data Mining and Visualization
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Information Systems: The course will teach practical analytics methods and use R (a tool widely used by data analysts) to provide hands on experience on the data mining techniques covered in the class. The focus of the course is on the application of the tools and techniques rather than learning the theory and math behind the models. This course builds upon concepts of data manipulation and coding seen in INSY 660 and covers these tools and techniques in much more depth. Students will be exposed to real world datasets and examples to get hands-experience with making business decisions using dating mining and predictive analytics, and provide R
code to apply the predictive models learned in class. At end of this course students will be comfortable using different data mining techniques to solve business problems on their own using R.
Offered by: Management
MGSC 660
Math&Stat Fndtns for Analytics
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Management Science: This course consists of two parts: (i) The first half of the course focuses on probabilistic and statistical foundations of data analytics. At the end of this part, students will have the mathematical knowledge in following topics: probabilities, random variables, the Central Limit Theorem; prior and posterior distributions, and Bayes鈥� rule; correlation, and Sampling. (ii) The second half of the course focuses on mathematical foundations of decision analytics. At the end of this part, students will have the mathematical knowledge in following topics: linear algebra; calculus of several variables; convexity; separating hyperplanes; unconstrained and constrained optimization; lagrange multipliers.
Offered by: Management
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the fourth lecture day.
- **No web drop allowed.
- **Web withdrawal not applicable.
- **Web ADD only
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
MGSC 661
Multivariate Statcl Analysis
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Management Science: The course will begin with the standard linear regressions, and extend to multivariable regression models, factor analysis, principal components, selection
models, and dynamic and nonlinear multivariate data methods. Students will be exposed to a broad range of techniques and applications in business analytics through conducting their own statistical analyses.
Offered by: Management
MGSC 662
Decision Analytics
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Management Science: This course teaches quantitative methods used in business decision making. Topics include: optimization models, optimization under uncertainty, and simulation.
Business applications of these techniques are emphasized. Students in this course will acquire expertise in quantitative methods for decision making, through computer analysis of real-life problems.
Offered by: Management
3 credits from the following:
Primarily sync delivery with technical coaching
ORGB 660
Managing Data Analytics Teams
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Organizational Behaviour: In this course, students will learn to: understand barriers to effective work in teams or more broadly in organizations; develop a collaboration style and learn
about themselves as team members and leaders 鈥� what are their strengths, what can they improve on; learn how to jointly develop a vision and superordinate goal;
develop skills in team communication, using the 鈥榩ower of framing鈥�; build effective working relationships with diverse individuals and groups; become familiar with common organizational functional areas, their analytics perspectives, and their role in cross-functional teams.
Offered by: Management
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **No web drop allowed.
- **Web withdrawal not applicable.
- **Web ADD only.
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
ORGB 661
Ethical Ldrshp& Leading Change
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Organizational Behaviour: Students will learn to: excel in the practice of distributed and shared leadership, critical to contemporary business; develop a collaboration style and learn about themselves as leaders 鈥� their strengths, areas for improvement; learn how to jointly develop a vision and superordinate goal; establish guidelines, protocols, and criteria for leading change and for the respectful and ethical collection,
storage, and use of data derived from others; develop their capacity to lead across hierarchical levels, including 鈥榣eading upwards鈥�; understand how leadership is necessary for resolving 鈥榳icked problems鈥� (problems that require leadership, not management).
Offered by: Management
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day
- **No web drop allowed.
- **Web withdrawal not applicable.
- **Web ADD only.
Complementary courses (online delivery)
Complementary courses for students enrolled in the online program format.
Experiential Module
6 credits from the following:
Students take either BUSA 693 D1 and BUSA 693 D2 or Busa 693 N1 and BUSA 693 N2.
Primarily sync delivery with technical coaching
BUSA 693D1
Anlytcs & Soln Consultng Pract
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Business Admin: Data science teams working with a dedicated client to solve data/analytics challenges,
including building an analytically-accurate and technically-automated solution.
Offered by: Management
BUSA 693N1
Anlytcs & Soln Consultng Pract
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Business Admin: Data science teams working with a dedicated client to solve data/analytics challenges,
including building an analytically-accurate and technically-automated solution.
Offered by: Management
- Students must also register for BUSA 693N2
- No credit will be given for this course unless both BUSA 693N1 and BUSA 693N2 are successfully completed in a twelve month period.
- Prerequisite(s): INSY 660, INSY 661, INSY 662, MGSC 660, MGSC 661, MGSC 662, ORGB 660, ORGB 661.
- **This course will be held on August 5, 7, 9, 12, 14, 16, 21, 22 & 30.
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **No web drop allowed.
- **Web withdrawal not applicable.
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
BUSA 693N2
Anlytcs & Soln Consultng Pract
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Business Admin: See BUSA 693N1 for description.
Offered by: Management
- Prerequisite: BUSA 693N1
- No credit will be given for this course unless both BUSA 693N1 and BUSA 693N2 are successfully completed in a twelve month period
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
3 credits from the following:
Primarily sync delivery with technical coaching
BUSA 600
Analytics Internship
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Business Admin: An on-the-job experience in a corporation or organization supervised by an academic faculty member. The learning objectives of this course is to allow the student to put into practice elements that they have learned throughout the program, to gain formal work experience.
Offered by: Management
- Prerequisite(s): INSY 660, INSY 661, INSY 662, MGSC 660, MGSC 661, MGSC 662, ORGB 660, ORGB 661
- Restriction(s): Students must obtain Instructor鈥檚 or Academic Director approval in writing before registering to this course.
- Topics of internship work will vary from employer to employer. Students will need to submit a work proposal to the instructor for approval prior to registering for this course.
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
BUSA 649
Community Analytics Project
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Business Admin: Analytics project in a small-/medium-sized organization focusing on the application of the concepts of real-world analytics problems that organizations without large
budgets deal with.Analytics project in a small-/medium-sized organization
focusing on the application of the concepts of real-world analytics problems that organizations without large budgets deal with.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
Elective Module (Domain-Specific)
15 credits from the following:
Both async and sync delivery
BUSA 613
Indep. Studies in Analytics 2
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Business Admin: Procuring of real data to perform a data-centric analysis for an organization or research institution. Under the mentorship of the instructor(s), students will focus their project deliverables on all of the following domains: data management, value proposition, analytic formulation, solution development and user application.
Offered by: Management
- Prerequisite(s): BUSA 693, INSY 660, INSY 661, INSY 662, MGSC 660, MGSC 661, MGSC 662, ORGB 660, ORGB 661
- Restriction(s): Students must obtain Instructor鈥檚 approval in writing before registering to this course.
- Before the instructor agrees to supervise the student, the student must submit a proposal form for approval.
- Data Handling Agreement/ Non-Disclosure Agreement must be signed by students.
BUSA 684
Analytics Study Trip
3 Credits
Offered in the:
- Fall
- Winter
- Summer
Business Admin: The course will be delivered through a combination of site (company) visits, guest lectures of top-level executives, as well as daily student reflections. It may also be combined with an analytics-related conference held in the location of the visit. Students will be required to study such practices in depth, complete a project
related to organizational practice excellence in analytics and write a reflection paper.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
FINE 675
FinL Val Anlytcs for Startups
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Finance: Introduction to finance with an emphasis on analytics, focusing on how the merger of analytics and finance plays a first order role for startups and the decision to
accelerate growth.
Offered by: Management
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **Web ADD only.
- **No web drop allowed.
- **Web withdrawal not applicable.
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
FINE 695
Adv Topics in Fin Analytics 1
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Finance: Advanced topics in finance analytics. Content will vary each term.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
FINE 696
Adv Topics in Fin Analytics 2
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Finance: Advanced topics in finance analytics. Content will vary each term.
Offered by: Management
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **Web ADD only.
- **No web drop allowed.
- **Web withdrawal not applicable.
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
INSY 669
Text Analytics
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Information Systems: Introduction to the basics of text mining and text-based predictions, including leading scripts/packages/libraries like SentiStrength (for sentiment analysis), categorization
and classification of a variety of documents. The application of text analytics in solving real-world busines problems.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
INSY 670
Social Media Analytics
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Information Systems: Methods and tools to leverage the power of social media, with a focus on a variety of
questions ranging from strategic to operational matters pertaining to firms鈥� social media initiatives, metrics to capture relevant outcomes, and predictive analytics to link social media chatter to business performance.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
INSY 671
Analytics and Open Innovation
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Information Systems: This course provides a comprehensive introduction to the use of data analytics in the context of open innovation. Students will draw from existing knowledge from prior courses in the Masters program as well as learn new tools and techniques that can be applied to answer realworld questions about open innovation.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
INSY 672
Healthcare Analytics
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Information Systems: Students will get hands-on experience with real-world datasets to examine how data analytics can be used to predict and understand disease outbreaks, how analytics can be used to improve the operation of hospitals, and the manner in which analytics can be used as decision support for physicians to diagnose and treat patients. By the end of the course, students should be able to develop
an appreciation on the changes that are taking place in the provision of healthcare services due to analytics and the role and opportunities for analytics to reduce cost and improve quality of healthcare in their communities.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
INSY 673
Security Analytics
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Information Systems: This course provides a comprehensive introduction to data analytics in the context of information security. Students will understand how to leverage data analytics
to help in visualizing, detecting, and analyzing information security data. Students will be exposed to real-world datasets and tools and techniques that can be applied to analyze those data.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
INSY 695
Adv Topics in IS 1
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Information Systems: Current emerging topics in information systems. Course content will vary each term.
Offered by: Management
- Terms
- Instructors
- Fatih Nayebi
- Fatih Nayebi
MGPO 695
Adv Topics in Strategy Anlytcs
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Management Policy: Current topics in strategy analytics. Course content will vary each term.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
MGSC 670
Revenue Management
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Management Science: This course will introduce students to revenue management (RM) practices in air transportation, hospitality (hotels, cruises, theme parks, casinos), car rental, media, broadcasting, natural-gas storage and transmission, electricity generation and transmission, and show business (concerts, theaters, sport events). Most
applications are recent and made possible by the advances in technology, data and decision analytics. However, there are issues of legality and customer backlash for charging different prices for virtually the same product. The course will touch upon these issues as well. Topics covered include capacity allocation,
network management, overbooking, markdown pricing, and customized pricing.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
MGSC 672
Ops and Supply Chain Analytics
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Management Science: The course covers analytical models that explore the key issues associated with the design and management of supply chains. A considerable portion of the course is devoted to data-driven decision models that treat uncertainty explicitly. Topics include supply network design, inventory centralization, value of information, and
contracts.
Offered by: Management
- Prerequisites: (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **During the last week, there will be a make-up class on Thursday, May 28th.
- **Web ADD only.
- **No web drop allowed.
- **Web withdrawal not applicable.
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
MGSC 673
Intro to AI & Deep Learning
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Management Science: Introduction to deep learning, through its use of neura networks, to learn from data and tasks such as classification, forecasting, data generation. The basis of
deep learning up to the applications of the most recent research. Use of deep learning in a production environment, and leveraging techniques such as: Keras, hyperparameter tuning, image classification methods, back propagation, LSTMs, and Autoencoders.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
MGSC 695
Adv Topics in Mgmt Science 1
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Management Science: Current emerging topics in operations management. Course content will vary each term.
Offered by: Management
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **Web ADD only.
- **No web drop allowed.
- **Web withdrawal not applicable.
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
MRKT 671
Advanced Marketing Analytics
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Marketing: The course will introduce students to advanced marketing analytic techniques available to managers and give them hands-on experience on using these with actual datasets. The major learning vehicle will be lectures with step-by-step exposition of analytical techniques with actual data. These will be then complemented with cases involving data analysis. Topics covered include customer and product analytics techniques.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
MRKT 672
Internet Marketing Analytics
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Marketing: What makes internet marketing different? Introduction to internet marketing - search engine optimization. Inbound marketing - search advertising and privacy concerns. Online tracking and privacy issues.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
MRKT 673
Pricing Analytics
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Marketing: Introduction and basics of price-response functions and pricing optimization. Using data to estimate demand models. Value-based pricing, consumer valuations,
personalization. Tactics of price differentiation. Pricing with constrained supply. Team project consultation.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
MRKT 674
Retail Analytics
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Marketing: This course will cover the following topics: loyalty program data analysis, assortment planning and category management, market basket analysis, Store location and trade area analysis, and forecasting and buying decision.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
MRKT 696
Adv Topics in Mrktg Analytics
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Marketing: Current emerging topics in marketing analytics. Course content will vary each term.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
ORGB 671
Talent Analytics
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Organizational Behaviour: Learning objectives: to gain experience in collecting and integrating performance and personnel outcome data; to develop and practice skills needed to analyze these types data; to cultivate knowledge and an understanding of the potential and limitations of talent analytics; to become able to apply the skills and knowledge from class to future organizational settings.
Offered by: Management
- Prerequisite: (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **During the last week, there will be a make-up class on Thursday, May 28th.
- **Web ADD only.
- **No Web Drop.
- *Web withdrawal not applicable.
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- Brian Rubineau, Roman Galperin
ORGB 672
Org Network Analysis
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Organizational Behaviour: Learning objectives: to gain experience in collecting and representing organizational network data; to develop and practice the skills needed to analyze network data; to cultivate knowledge and understanding of how social networks are related to consequential organizational outcomes; to become able to apply the skills and knowledge from class to future organizational settings.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
ORGB 695
Adv Topics in Org Behaviour
1.5 Credits
Offered in the:
- Fall
- Winter
- Summer
Organizational Behaviour: Current emerging topics in organizational behaviour. Course content will vary each term.
Offered by: Management
- Terms
- This course is not scheduled for the 2024 academic year
- Instructors
- There are no professors associated with this course for the 2024 academic year
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