MBAN Master of Business Analytics Academic Handbook

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MBAN Master of Business Analytics Academic Handbook
Master of Business Analytics
Academic Handbook

MBAN Master of Business Analytics Academic Handbook
MBAN Handbook

     Table of Contents

     Important Websites�������������������������������������������������������������������������������������������������������������������������������������� 3
     2022-2023 Sessional Dates��������������������������������������������������������������������������������������������������������������������������� 4
     2022 Important Dates���������������������������������������������������������������������������������������������������������������������������������� 5
     Contact Us���������������������������������������������������������������������������������������������������������������������������������������������������� 6
     Schulich Division of Student Services & International Relations������������������������������������������������������������������ 6
     Enrolment����������������������������������������������������������������������������������������������������������������������������������������������������� 7
     Course Offerings And Withdrawals�������������������������������������������������������������������������������������������������������������� 7
     Course Withdrawals������������������������������������������������������������������������������������������������������������������������������������� 7
     Course Cancellations������������������������������������������������������������������������������������������������������������������������������������ 7
     Master of Business Analytics (MBAN)���������������������������������������������������������������������������������������������������������� 8
     Study Options����������������������������������������������������������������������������������������������������������������������������������������������� 8
     Faculty�������������������������������������������������������������������������������������������������������������������������������������������������������� 11
     Course Descriptions������������������������������������������������������������������������������������������������������������������������������������ 13

     Can't find what you're looking for? Check the Graduate Academic Handbook!

                                                     Review important information about:

                                                     •   Tuition and fees
                                                     •   �cholarships and financial aid
                                                     •   �xams, grades and conduct
                                                     •   �etitions and appeals
                                                     •   �tudent services and enrolment
                                                     •   �tudent life and clubs
                                                     •   �ibraries, transit, childcare, health services

     Available on the Academic Resources webpage

     2 - Schulich School of Business
MBAN Master of Business Analytics Academic Handbook
MBAN Handbook

The material contained in this Handbook has been submitted by the administrative departments and academic units
concerned. All general information and course references have been checked for accuracy as much as possible. If
errors or inconsistencies do occur, please bring these to the attention of the responsible department. York University
reserves the right to make changes to the information contained in this publication without prior notice. Not every
course listed in this handbook need necessarily be offered in any given academic year.
It is the responsibility of all students to familiarize themselves each year with the general information sections of this
Handbook and with the sections covering the Schulich School of Business, as well as with any additional regulations
that may be on file in the Division of Student Services and International Relations in the Schulich School of Business.
It is the responsibility of all students to be familiar with the specific requirements associated with the degree,
diploma or certificate sought. While advice and counseling are available, it is the responsibility of each student to
ensure that the courses in which registration is affected are appropriate to the program requirements of the Schulich
School of Business.
While the University will make every reasonable effort to offer courses and classes as required within programs,
student should note that admission to a degree or other program does not guarantee admission to any given course
or class.
In the event of an inconsistency between the general academic regulations and policies published in student
handbooks and calendars, and such regulations and policies as established by the Schulich School of Business and
Senate, the version of such material as established by the Schulich School of Business and the Senate shall prevail.

York University Policies
York University disclaims all responsibility and liability for loss or damage suffered or incurred by any student or other party
as a result of delays in or termination of its services, courses, or classes by reason of force majeure, fire, flood, riots, war,
strikes, lock-outs, damage to University property, financial exigency or other events beyond the reasonable control of the
York University disclaims any and all liability for damages arising as a result of errors, interruptions or disruptions to
operations or connected with its operations or its campuses, arising out of computer failure or non-compliance of its
computing systems.
York University is a smoke-free institution. Smoking is permitted in designated areas only.

Important Websites

 RESOURCE                       URL                                GO HERE FOR...
                                                                   Program Information, Financial Aid, International
 The Schulich School of
                                        Opportunities, Career Development Centre,
 Business official website
                                                                   MySchulich student portal
 Schulich Current Graduate         Important Dates, Course Offerings, Wait List, Upcoming
 Students page                  students/graduate-students         Events, Enrolment Details, Academic Peititons and Appeals
                                                                   Student stories, Regular updates about courses, important
 Student Services GradBlog
                                                                   dates, enrolment and events
                                                                   Enrolment & fees, Housing & Transportation, Academic
 York Online Services 
                                                                   Regulations & Grade Reports
 York Counseling & Disability                                      Resources for academic and personal development,
                                        individual and group counselling, Learning Skills Workshops
                                                                   Mission statement, executive reps, student clubs, services
 Graduate Business Council
                                                                   and events

                                                                                               Schulich School of Business - 3
MBAN Master of Business Analytics Academic Handbook
Sessional Dates

       2022-2023 Sessional Dates
        SUMMER 2022
        Activity                                 Term S     Term E    Term G
        Class Start Date                         May 9      May 9     June 20
        Class End Date                           Aug 3      June 17    Aug 3
        Reading Week                              N/A        N/A       N/A
        Examinations                              TBD        TBD       TBD
        Last date to enrol without permission    May 15     May 15    Jun 26
        Last date to enrol with permission       May 29     May 22     Jul 3
        Last date to drop courses                Jun 19     May 29    Jul 10

        FALL 2022
        Activity                                Term F2     Term A    Term M
        Class Start Date                         Sept 12    Sept 12   Oct 31
        Class End Date                           Dec 9      Oct 24     Dec 9
        Reading Week                            Oct 25-30    N/A       N/A
        Examinations                              TBD        TBD       TBD
        Last date to enrol without permission    Sept 16    Sept 16   Nov 4
        Last date to enrol with permission       Sept 23    Sept 23   Nov 11
        Last date to drop courses                Nov 11      Oct 7    Nov 25

        WINTER 2023
        Activity                                Term W2     Term C    Term N
        Class Start Date                          Jan 9      Jan 9    Feb 27
        Class End Date                           Apr 10     Feb 17    Apr 10
        Reading Week                            Feb 21-26    N/A       N/A
        Examinations                              TBD        TBD       TBD
        Last date to enrol without permission    Jan 13     Jan 13    Mar 3
        Last date to enrol with permission       Jan 20     Jan 20    Mar 10
        Last date to drop courses                Mar 3       Feb 3    Mar 24

       4 - Schulich School of Business
MBAN Master of Business Analytics Academic Handbook
Important Dates

2022 Important Dates
DATE                      REMINDER
May 9                     First day of Summer classes

May 10                    Summer Term fees due

May 23                    Victoria Day (university closed)

TBD                       Mandatory Make-up Day (in lieu of Victoria Day)

July 1                    Canada Day (university closed)

TBD                       Mandatory Make-Up Day (in lieu of Canada Day)

August 1                  Civic Holiday (university closed)

September 5               Labour Day (university closed)

September 10              Fall Term fees due

September 12              First day of Fall classes

October 10                Thanksgiving (university closed)
December 9                Last day of Fall classes

                                            Find Important Dates online!

                                                                      Schulich School of Business - 5
Contact Us

     Contact Us
     The School’s Division of Student
     Services & International Relations
     should be consulted on questions                                                  Meet us online!
     related to admissions, enrolment,      
     registration, grade or course
     problems, financial assistance or
     special advising.

      TITLE                                                NAME                     ROOM     E-MAIL
                                                          Kiridaran (Giri)
      Associate Dean, Students                                                      S344H
      Financial Administrative Assistant                  Heidi Furcha              W262E

      Director, Student & Enrolment Services              Luba Pan                  W263A

      Manager, Student Success                            Cathlin Sullivan          W263D

      Manager, Communications                             Beth Gallagher            W262G

      Records & Promotion Assistant                       Sandra Osti               W262E

      Student Success Coordinator                         Fern Best                 W262C

      Student Success Coordinator                         Lyndsay Vair              W262M
      Registration & Academic Service Assistant           Kareene Martin            W262P

      Student Service Assistant                           Maria Rizzuto             W263B

      Systems Coordinator                                 Vivian Sun                W263B

      Communications Coordinator                          Nikeeta Machado           W262G

      Assistant Director Admissions & Financial Aid       Doris Mak (on leave)      W263F

      Financial Aid Officer                               Anne Caulfield            W263C

      Associate Director, International Relations         Ann Welsh                 W262J

      Graduate International Program Coordinator          Cheryl Stickley           W262O

      International Information Assistant                 Lan Yu                    W262P

      International Student Support Specialist            Vino Shanmuganathan       W262N

     Julian Scott Yeomans BAdmin, BSc, MASc, PhD        Denise Dunbar                       Fern Best
     Program Director, MBAN & MMAI                      Program Coordinator                 Student Success Coordinator
     Professor of Operations                            MBAN, MMAI & MSCM         
     Management and Information                         MB 230
     Systems                                            416-736-2100 ext. 44681             Lyndsay Vair                                   Student Success Coordinator

     6 - Schulich School of Business

ENROLMENT PROCESS                                         COURSE OFFERINGS AND
Registration and Enrolment
                                                          The Master of Business Analytics is a one year,
•   The course enrolment process at York is               full-time program with a specialized set of courses.
    completed by students online                          Students are not permitted to take additional courses
                                                          within the MBAN program at Schulich or out of Faculty,
•   The process of making enrolment changes at York       except courses specified in the list of electives or by
    is also automated (e.g. changing course sections,     permission from the program director.
    substituting one course for another by dropping
    one and adding another, or dropping a course)         Course Withdrawals
•   Students without immediate access to a computer       •   dropping one or more courses will prevent a full-
    may use on-campus terminals, including the                time student from completing the MBAN degree
    library, computer lab, or the computers in the            program within the prescribed program length
    Schulich Student & Enrolment Services Office,             and will result in withdrawal from the program
                                                          •   see your academic advisor ahead of time to
•   Students normally enrol for Summer term courses           discuss the implications of dropping a course
    in March and for Fall and Winter courses in June
                                                          •   this program is offered on a full-time basis only
•   Enrolment is on a first-come, first-served basis

•   Students cannot add or drop courses after the
    term deadline. See the Key Dates webpage for          OTHER ENROLMENT INFORMATION
                                                          Course Cancellations
Enrolment Blocks
                                                          If a course is cancelled, Student & Enrolment Services
All students having an outstanding balance of             immediately informs those enrolled via their Schulich
$1,000.00 or more will be blocked from enrolling in       e-mail.
the Summer, Fall and/or Winter terms.
                                                          Revised Course Offerings
Enrolment Access Notification
                                                          Revisions to course offerings are also posted on the
Enrolment access start dates are posted on the            Schulich Course Offerings database.
Registrar's Office website ( by
selecting “Find out when I can enrol.” Enrolment          Revisions can include:
access times are determined according to the number
of completed credits a student obtains. Schulich access   - cancelled courses
periods begin on different days. Students with the        - new courses
highest number of credits completed begin first. Once     - schedule changes (day/time)
the enrolment access has begun, it continues until the    - room changes
final date to enrol in courses for that term.             - new instructors

We recommend that students enrol as early as
possible once their access period begins. We
also encourage students to verify their enrolment
periodically online.

                                                                                   Schulich School of Business - 7
MBAN Handbook

     Master of Business Analytics (MBAN)
     The Master of Business Analytics (MBAN) is a professional degree program designed to provide students with the
     breadth and depth of knowledge to be successful in a wide range of careers in areas such as banking, insurance,
     marketing, consulting, supply chain management, healthcare, and large technology firms.

     Students will gain a conceptual understanding and methodological competence of established techniques in
     business analytics which are used to create and interpret knowledge in various business environments. They will be
     able to address complex issues using quantitative methodologies and create value for organizations using business
     analytics as a key measurement of performance and organizational planning. Graduates will understand how to
     apply business analytics to generate solutions which balance time, resources and complexity. They will possess a skill
     set that is both quantitative and qualitative, with the technical competence to analyze data coupled with the skills
     required to communicate insights effectively.

     This one year, three term program culminates with an experiential capstone course spanning the last two terms in which
     students complete a hands-on, problem-driven analytics project and develop applicable business solutions. Students
     interface directly with industry leaders and develop both technical and organizational expertise. All Schulich MBAN
     students are awarded the SAS™ (Statistical Analysis Software) certification upon completion of the program.

                STUDY OPTIONS                         GRADUATION REQUIREMENTS

                •   May entry                         •    Overall grade point average (GPA) of 4.40 (B-), excluding failures

                •   Full-time study only              •    Successful completion of 45.00 credits of courses, consisting of:

                                                                - 30.00 credits of Required Core Courses
                PROGRAM LENGTH                                  - 6.00 credits of an Experiential Learning Course
                                                                  (Analytics Consulting Project) undertaken in terms 2 and 3)
                •   12 months (3 terms)
                                                               - 9.00 credits of Elective Courses

                                                                                      Additional promotion standards apply.


              With increased data available by newer technologies, banking,                 “The Schulich Master of Business
              healthcare, retail, e-commerce and many others industries are                 Analytics provided the tools and
              acknowledging the importance of analytics and hiring specialized              expertise to launch my career in
              professionals to analyze big data, create value and drive decision            the high-demand field of data
              making.                                                                       analytics.”

                                                                                            - Yon-Joon Choo, MBAN ‘16
              Some of the functional roles where Schulich students are hired
                                                                                            Senior Consultant, Artificial Intelligence,
              include: Forecasting Analyst, Business Analyst, Analytics Consultant,         Deloitte
              Business Intelligence Manager and Manager – Customer Analytics.

                                                                Find Program Details Online!

     8 - Schulich School of Business
MBAN Handbook

MBAN at a Glance
                                                              3. Students who do not meet these requirements will
1. Students enrolled in the Master of Business                be withdrawn.
Analytics program will be reviewed as follows to
determine whether or not they have met promotion              4. Students who fail a required course must retake it.
requirements below:                                           Students who fail an elective course may retake it, or
                                                              may elect to take another course. Students who
•   initial review upon completion of Term 2                  re-take a failed course and receive a second failing
•   subsequent review at the end of each following            grade will be withdrawn.
                                                              5. A student who has been withdrawn from the
2. To maintain their standing in the program, all             program is advised to seek the help of their Academic
students must maintain a GPA of at least 4.20 and             Advisor to discuss the best way forward. The student
not receive a grade of F in more than 3.00 credits of         may petition to the Student Affairs Committee to be
course work.                                                  allowed to continue in the program without having
                                                              met the promotion requirements.

                          MASTER OF BUSINESS ANALYTICS (MBAN)
         Term 1: Summer                             Term 2: Fall                           Term 3: Winter
          (15.00 credits)                         (15.00 credits)                          (15.00 credits)

          MBAN 5140 3.00                                                                 OMIS 6000 3.00
                                                  MBAN 5110 3.00
          Visual Analytics                                                            Models & Applications in
                                                Predictive Modelling
           and Modelling                                                               Operational Research

          MBAN 6110 3.00                         MGMT 6700 3.00                           ORGS 6500 3.00
           Data Science I                      Project Management                  Interpersonal Managerial Skills

                                                                                         GS/PHIL 5340 3.00
         MBAN 6200 3.00
                                                 MBAN 6120 3.00                          Ethics and Societal
    Realizing Value from AI and
                                                  Data Science II                      Implications of Artificial
     Analytics in Organizations

          MBAN 5330 3.00
                                                                    MBAN 6090 6.00
       Big Data Fundamentals
                                                               Analytics Consulting Project
          and Applications

               Elective                               Elective                                  Elective
             3.00 credits                           3.00 credits                              3.00 credits

     Core Courses                                       *This is an out-of-faculty course. It is offered by the Department of
                                                          Philosophy in the Faculty of Graduate Studies at York University.
     Elective Courses

                                                                                         Schulich School of Business - 9
MBAN Handbook

     Academic Requirements:                                      Co-curricular Experience:

     REQUIRED COURSES (36.00 credits)                                   REQUIRED WORKSHOPS
     MBAN 5110 3.00		           Predictive Modelling             Analytics and Professional Development workshops
     MBAN 5140 3.00             Visual Analytics and Modelling   augment academic learning, promote professional
     MBAN 5330 3.00		           Big Data Fundamentals and        development, and are facilitated by industry experts.
     			                        Applications                     Participation is expected.
     MBAN 6110 3.00 		          Data Science I
                                                                 Workshops will be offered over the course of the
     MBAN 6120 3.00		           Data Science II
                                                                 academic year, and may require single day or multiple day
     MBAN 6200 3.00		           Realizing Value from AI          scheduling. Though workshops will not be offered each
     			                        and Analytics                    week, the expectation is that students will be available
                                                                 and attend workshops as they are scheduled. Additionally,
     MGMT 6700 3.00             Project Management               some workshops may extend to the weekend.
     OMIS 6000 3.00             Models & Applications in         Students will be informed of upcoming workshops by the
                                Operational Research             MBAN Program Office.
     ORGS 6500 3.00             Interpersonal Managerial

     PHIL 5340 3.00             Ethics and Societal
     			                        Implications of Artificial
                                                                        PROFESSIONAL DEVELOPMENT SERIES
                                                                 MBAN students have access to a variety of specialized
     MBAN 6090 6.00 		          Analytics Consulting Project
                                                                 services and resources that will support them in their

                                                                 MBAN career related activities include:

                                                                 •   networking events

                                                                 •   information sessions
     ELECTIVE COURSES (9.00 credits)
                                                                 •   interviews
     Students will choose electives from a limited list
     selected by the Program Director.                           •   workshops

     Instructions regarding enrolment in elective courses        •   MBAN résumé book
     will be sent to students via e-mail from Student &
     Enrolment Services.
                                                                 MBAN Career related activities are scheduled throughout
                                                                 the course of the academic year.

     10 - Schulich School of Business
                                                                                                      MBAN Handbook

MBAN Instructors: 2022-2023

Program Director              David Elsner                 Moren Lévesque                Henry M. Kim
David Johnston                BA, BSc                      Professor of Operations       BASc (Toronto); MEng
BA, MBA, PhD                  Adjunct Professor,           Management and                (Michigan); PhD (Toronto)
Professor of Operations       Master of Management         Information Systems;          Associate Professor of
Management, George            in Artificial Intelligence   CPA Ontario Chair             Operations Management
Weston Research               (MMAI) Program and           in International              and Information Systems;
Chair in Sustainable Supply   Master of Business           Entrepreneurship; Co-         Co-Director, BlockchainLab
Chains;                       Analytics (MBAN)             director of Entrepreneurial
Program Director, Master      Program; President, DHE      Studies                       Markus Biehl
of Management in              Consulting; Managing                                       Professor of Operations
Artificial                    Partner, illuminaite         Işık Biçer                    Management &
Intelligence and Master of    Devlin Russel                BSc (Turkey); MSc (Turkey);   Information Systems
Supply Chan Management        BA (Simon Fraser); MA        PhD (Switzerland)
                              (Toronto); PhD (Toronto)     Assistant Professor of        Richard H. Irving
Murat Kristal                 Sessional Assistant          Operations Management         Professor Emeritus of
BSc (METS, Turkey); MBA       Professor of Philosophy      and Information Systems       Operations Management
(Bilkent, Turkey); PhD                                                                   and Information Systems
(North Carolina)              Hemant Sangwan               Julian Scott Yeomans
Associate Professor of        Lecturer, Master of          BAdmin & BSc (Regina);
Operations Management         Business Analytics and       MASc (Toronto); PhD
and Information Systems;      Master of Management in      (McMaster)
Director, Centre of           Artificial Intelligence      Professor of Operations
Excellence in Analytics &                                  Management and
AI Leadership, Schulich       Hjalmar Turesson             Information Systems
Executive Education           Deloitte Data Scientist;
Centre; Special Advisor, AI   Lecturer, Master of          Zhepeng (Lionel) Li
& Business Analytics          Business Analytics and       B.Sc. (University of
                              Master of Management in      Technology, Hefei, China);
Adam Diamant                  Artificial Intelligence      M.S. (University of Science
BSc (Toronto); MSc                                         and Technology, Hefei,
(Boston); PhD (Toronto)                                    China);Ph.D. (University of
Associate Professor of                                     Utah)
Operations Management                                      Associate Professor of
and Information Systems                                    Operations Management
                                                           and Information Systems

                                                                                  Schulich School of Business - 11
MBAN Handbook
 Course   Board

      MBAN Advisory Board

      Chair                              Hershel Harris              Damien Mok                 Palash Thakur
      Murat Kristal                      Board Member,               Director, Rewards &        Senior Director,
      Associate Professor,               Habitat for Humanity GTA    Loyalty Insights and       CIBC
      Operations Management                                          Business Performance,
      and Information Systems,           Peter Husar                 Royal Bank of Canada       Rogan Vleming
      Schulich School of Business;       VP, Analytics Strategy                                 Head of Data Science
      Director, Centre of Excellence     & Planning,                 Eric Monteiro              & Engineering, Simon-
      in Analytics & AI Leadership,      TD Bank Group               Senior Vice President,     Kucher & Partners
      Schulich Executive Education                                   Chief Client Experience
      Centre; Special Advisor, AI &      Steven Karan                Officer,                   Arif Virani
      Business Analytics                 Vice President Digital &    Sun Life Financial         Chief Operating Officer
                                         Analytics, GHD DIgital                                 DarwinAI
      Connie Bonello                                                 Derek Nogiec
      Insights and Data Finaicial        Paul Lewis                  VP, Business Development   Alexis Zamkow
      Services Leader,                   Global Vice President and   & Strategic Alliances,     Digital Strategy and
      Capgemini                          CTO, Hitachi Vantara        Plotly                     Innovation,
      Justin DeLuca                      Sanjay Khanna               Sumeet Pelia
      Regional Vice President,           Futurist,                   Director, AI
      Eastern Canada, Beyond Beer,       Baker and McKenzie LLP      Deloitte
      Labatt Breweries of Canada                                     Omnia AI
                                         Theo Ling
      Victor Dudemaine                   Partner,                    Stefan Popowycz
      Assistant Vice President,          Baker and McKenzie LLP      Partner
      Enterprise Data OPTrust                                        Deloitte
                                         Ramsey Mansour
      Dana Fox                           Vice President,             Daniel Preston
      Founder,                           Marketing and Strategy,     Vice President, Finance
      Waterloo Institute for Smarter     Purolator                   Labatt Breweries of
      Government                                                     Canada
                                     Chris Matys
      Neil Freyke                    Founder,                        Eugene Roman
      Chief Data Officer, Group      Ignite AI                       Principle
      Functions,                                                     Design Ai Ltd.
      Manulife Financial Corporation Alex Mohelsky
                                     Partner, Canadian Data and      Parinaz Sobhani
      Victor Garcia                  Analytics Leader,               Director, Machine
      Chief Executive Officer,       Ernst & Young LLP               Learning,
      ABC Live Corporation                                           Georgian Partners
      Silvia Gonzalez-Zamora
      Director, KPMG Canada

      12 - Schulich School of Business
                                                                                                             MBAN Handbook

Course                                                         Presented within the framework of financial institutions,
                                                               the course covers the design and operation of a risk-
                                                               management system, modeling and the interplay
Descriptions                                                   between internal oversight and external regulation.
                                                               The theory of risk management (market, credit and
                                                               operational risk) comes alive through practical case
                                                               evaluation and presentations from the senior executives
                                             REMINDER          in the risk management field. The course provides the
1. Not all courses listed are offered
every term.                                                    essential analytical foundations of risk management
                                                               in a way appropriate for those who do not have a
For full course details, visit the                             mathematical background.
Schulich Course Offerings database.
                                                               FNSV 6990 1.50		             Enterprise Risk Management
2. If you are uncertain about the course                       			                          and Strategy
content or whether or not a course fits
                                                               Strategy and risk management are two sides of value
your academic goals, please speak with
                                                               creation for companies. Strategic choice must identify
your academic advisor.
                                                               how these choices affect a broad array of stakeholders. A
3. Out-of-faculty courses are subject to                       firm must be organized to recognize, measure, monitor,
approval by the program director.                              and disclose risks if it is to implement its strategy. This
                                                               course will focus upon the strategic importance of risk
                                                               management rather than more technical aspects.

                                                               MBAN 5110 3.00		             Predictive Modeling
ACTG 5210 1.50       Management Accounting
                                                               This course provides the tools needed to build models
An introduction to management accounting techniques            from data sets, validate models, and make predictions.
that are useful in management decision-making situations       The course emphasises the SAS environment. Major areas
such as cost management, pricing special orders,               for discussion include analysis of variance, regression,
determining service levels and performance appraisal.          categorical data analysis, and predictive modelling. The
The non-applicability of external reporting figures for        course emphasizes both theory and practice, allowing
most management decisions is reviewed.                         students to use statistical theory for purposes of business
                                                               case analysis.
ECON 6210 3.00       Economic Forecasting and Analysis
                                                               MBAN 5140 3.00		             Visual Analytics and
An increasing number of organizations make explicit            Modelling
forecasts of the economic environment within which they
will be operating as a basis for forward-looking plans. This   This course is an introduction to the fundamental
course studies the main forecasting methods in relation        theories of visual communication design applied in
to the length of the forecasting time horizon. Several         data visualization and visual analytics. Students become
systematic appraisals of past forecasts are reviewed.          familiar with data-driven decision making workflows and
                                                               storytelling best practices. Major areas for discussion
FINE 6310 3.00       Econometrics of Financial Markets         include visual design principals, data structures, taxonomy
                                                               of data visualization models and weekly technical tutorials
This empirical methods course focuses on the statistical
                                                               using the Tableau software.
techniques that are most often used in the analysis of
financial markets. The list of topics include: statistical
                                                               MBAN 5330 3.00              Big Data Fundamentals and
properties of asset returns, tests of asset pricing models,
efficient market hypothesis, event study methodology,
simulation methods, panel data analysis, and volatility        This course establishes a foundation for data science
estimation such as GARCH, value-at-risk, and time-varying      in the business domain. Through in-class lecturing and
correlations.                                                  hands-on projects, students learn fundamentals of data,
                                                               data management and data-centric programming. The
FNSV 6700 3.00		               Management of Risk in
                                                               classes cover up-to-date applications in data science, such
			                            Financial Institutions
                                                               as Python, SQL and Hadoop.
Risk is the fundamental element that influences the
behaviour of financial institutions. FNSV 6700 provides
a comprehensive introduction to risk management.

                                                                                       Schulich School of Business - 13
MBAN Handbook

     MBAN 6090 6.00		             Analytics Consulting Project       MBAN 6500 3.00 Artificial Intelligence in Business I

     The Analytics Consulting Project is the capstone                Students are introduced to the field of artificial
     integrative course of the MBAN program. It will allow           intelligence, with a focus on business applications and a
     students to deepen their understanding of the subject           historical perspective that covers the basic terminology
     matter and methodologies, as well as provide an                 and concepts. The course covers multiple facets of
     opportunity for hands-on, problem-driven research               artificial intelligence including knowledge representation
     and application. It is an intensive, 2-term project             and symbolic reasoning; biologically inspired approaches
     where groups of four MBAN students undertake a                  to artificial intelligence; supervised, unsupervised, and
     comprehensive analytics project of an organization              reinforcement learning; multi-agent systems; planning;
     (“client site”) and provide business insights to enhance        and natural language processing.
     the site’s future success. At the conclusion of the analytics
     consulting project, students submit and present their           MBAN 6510 3.00 Artificial Intelligence in Business II
     final work to a panel of at least two experts, including the
     course director, and alaos to the client site.                  The emphasis in this course will be on automation and
                                                                     autonomous cyber-physical system applications of
     MBAN 6110 3.00		             Data Science I                     artificial intelligence. Students will delve deeper into
                                                                     topics which include:
     An introduction to data science techniques designed for         probabilistic reasoning & handling uncertainty; search;
     students who will work with data scientists or invest in        perception & sensing; human-computer interfacing;
     related ventures. The course introduces fundamental             conversational systems; and autonomous robotics,
     concepts and techniques for the analysis of data-cen-           drones, and autonomous vehicles.
     tered business problems, the creation and evaluation of
     solutions, the data science strategies, the basic cycle of      Prerequisite: SB/MBAN 6500 3.00
     a data-mining project, and the integration into business
     strategies.                                                     MGMT 6700 3.00		             Project Management

     MBAN 6120 3.00		             Data Science II                    This course covers the strategic, organizational and
                                                                     operational aspects of managing projects. Students
     This course is designed for business students who will          learn to manage the technical, behavioural, political and
     pursue a career in the related industries. The course           cultural aspects of temporary groups performing unique
     first teaches students Unix command line and Python             tasks. Topics covered include: defining deliverables,
     programming language, which constitute the uniform              formulating project strategy, effective group organization
     computing environment for the following topics: data            and management, dynamically allocating resources,
     visualization; predictive modelling; relational database        managing without authority, and resolving conflict.
     and SQL; Web APIs; big data, Hadoop and MapReduce;              Traditional cost and time management techniques are
     and Stochastic Search and Optimization methods.                 covered using contemporary software packages.
     Towards the end of the course, various business cases
     from data since are introduced; examples may include:           MKTG 6050 3.00		             Marketing Research
     (i) online recommender systems; and (ii) Online targeted
     display advertising. Through in-class labs, the course gives    This course develops students’ understanding of basic
     students hands-on experience of advanced data science           and advanced market research methods. Students learn
     techniques. Students are required to bring their own            to evaluate completed research projects and conduct
     laptop to participate in these in-class labs.                   research studies, developing proficiency in defining
                                                                     research questions, developing research designs,
     Prerequisite: MBAN 6110 3.00                                    selecting appropriate samples, conducting analysis
                                                                     and writing actionable management reports. Also
     MBAN 6200 3.00		             Realizing Value from AI            examined are mobile research, brand maps, social media
     			                          and Analytics                      monitoring/metrics, Big Data, consumer surveillance and
                                                                     data privacy issues.
     This course provides a practical grounding in analytics and
     artificial intelligence (AI) and its business applications in   MKTG 6150 3.00		             Consumer Behaviour
     organizations. Students will learn how to address business
     pain points through AI and analytics solutions and how          This course assists students in developing a thorough
     to sell and deliver project ideas. Students will gain skills    understanding of both organizational buyers and end
     needed to transform an organization into an innovative,         consumers. The psychological, sociological, organizational
     efficient and data driven company of the future.                and environmental factors that shape buyer behaviour
                                                                     are reviewed. Throughout the course, the implications for
                                                                     both marketing strategies and tactics are addressed.

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                                                                                                             MBAN Handbook

MKTG 6250 3.00		             Business Marketing               OMIS 6560 3.00		             Supply Chain Management

The course explores the management of inter-firm              This course is about how to make decisions that lead
relationships in a supply chain context, encompassing         to the better design and management of supply chains.
both supplier-manufacturer relationships, and the             This often involves changing the network of relationships
relationships between manufacturers and channel               between suppliers and customers and other stakeholders
intermediaries. Students learn to see these relationships     as they design, contract, order, plan and coordinate
as strategic combinations of market competition, power,       goods and services together. This course covers essential
and trust. Topics include firm buying behaviour, the          quantitative supply chain management models,
design of distribution channels, strategic implications       supportive information and ecommerce technologies,
of forward and backward vertical integration, various         environmentally and socially responsible practices and
technology applications in SCM, and franchising.              customer-supplier relationship management.

MKTG 6300 3.00		             Service Marketing                OMIS 6610 3.00               Digital Transformation in
This course examines the need for marketing in service
industries, develops an understanding of the ways in          Service industry constitutes approximately 70% of the
which service marketing differs from product marketing,       Canadian economy. Digital technologies are rapidly
and improves students’ understanding of how service           changing the way service organizations do business
characteristics affect the marketing function. Students       and interact with their customers. While investing in
learn to develop and implement marketing plans for            technological advancements, services struggle with
service organizations.                                        reaping the benefits of this powerful shift. In this
                                                              course, students explore and learn the foundations
MKTG 6360 3.00		             Marketing Metrics                and components of digital transformation and make
                                                              the connection between the strategy, technology, and
This course focuses on developing the analytical              implementation. The course will provide students with
skills required to successfully apply the principles of       real-life business cases in which various trade-offs must
quantitative analysis to the marketing discipline. Students   be made according to the technology, the business
will learn the most common measurement methods                strategy, and the service requirements.
currently being used in the marketing field.
                                                              OMIS 6955 3.00               Service Operations
OMIS 6000 3.00		             Models and Applications in                                    Management
			                          Operational Research
                                                              This course is about designing and implementing
This course provides a survey of selected topics in           service processes that respond effectively to customer
operational research (OR). Emphasis is placed on the          requirements. Service processes involve high customer
practical application of OR tools rather than on the          interaction, information intensive products and the
mathematical properties. Application areas include:           requirement for real-time responsiveness to a wide
financial planning and portfolio selection, production,       variety of customer demands. Designing, implementing
priority planning and marketing. Topics include: linear       and maintaining these processes in a competitive
programming and its applications; programming to              environment requires service-oriented organizations
achieve a set of goals or targets with applications in        to have a new level of competence. This course
finance and production; capital budgeting and project         concentrates on the problems and opportunities found
selection; transportation and network models; and             in large companies in rapidly changing industries such
portfolio models.                                             as financial services. Best practice and generic problems
                                                              in service delivery can be found in many industries from
OMIS 6350 3.00     Advanced Spreadsheet Modelling &           manufacturing to retailing. Identifying effective strategies
		                 Programming for Business                   as well as specific techniques for process planning and
                                                              control, and project implementation are important in
This course enables the design, development, and              the development of managerial competence in service
implementation of integrated business analysis                operations.
systems by combining the extended functionality of
spreadsheets with the Visual Basic for Applications (VBA)     Prerequisites: SB/OMIS 5120 1.50 and SB/OMIS 5210
programming language. The course demonstrates the             1.50.
power of combining the advanced analysis and modelling
techniques of spreadsheets and VBA through applications
to several practical problems from disparate business

                                                                                       Schulich School of Business - 15
Course Descriptions

      ORGS 6350 3.00                  Managing Change

      As the environment of many business and non-profit
      organizations becomes increasingly complex and unstable,
      it is imperative that top managers be able to create a
      climate of flexibility and adaptability in their operations.
      Organizations must be able to undertake major change
      without destructive side effects to be truly successful. This
      course surveys the major methods available to the modern
      manager for effectively managing the process of change
      and creating a general climate in which needed changes
      are sought and welcomed throughout the organization.
      The course emphasizes case studies and the discussion of
      alternative change management models.

      ORGS 6500 3.00		              Interpersonal Managerial

      Research demonstrates that people and their ability to
      work effectively together are critical success factors for
      organizations. This course focuses on specific personal and
      interpersonal skills for organizational (and professional)
      effectiveness. With an emphasis on experiential
      exercises, the course helps students develop skills such as
      communication; time, conflict and stress management;
      performance management; gaining influence; and self-
      awareness (including emotional intelligence).

      ORGS 6560 3.00		              Negotiations

      Provides students with insight into their own negotiation
      style and how to become a more effective negotiator.
      The course takes an experiential approach to exploring
      the concepts, theories, and psychology of negotiations.
      Students will gain knowledge of the different approaches
      to negotiations and the strategies and tactics unique to
      each. The course will provide students with opportunity to
      learn, practice, and refine negotiation skills as well as equip
      them with the skills necessary to negotiate constructive
      resolution to conflict in the workplace.

      GS/PHIL 5340 3.00		           Ethics and Societal
      			                           Implications of Artificial

      This course is intended for students with professional
      interest in the social and ethical implications of AI. Topics
      include theoretical issues (could AI ever have moral rights?),
      practical issues (algorithmic bias, labour automation,
      data privacy), and professional issues (tech industry social

      16 - Schulich School of Business
MBAN Handbook


        Schulich School of Business - 17
Master of Business Analytics | 2022-2023

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