MBAN Master of Business Analytics Academic Handbook
←
→
Page content transcription
If your browser does not render page correctly, please read the page content below
MBAN Master of Business Analytics Academic Handbook 2022-2023
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 Handbook
Disclaimer
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.
EVERY STUDENT AGREES BY THE ACT OF REGISTRATION TO BE BOUND BY THE REGULATIONS AND POLICIES OF YORK
UNIVERISTY AND OF THE SCHULICH SCHOOL OF BUSINESS.
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
University.
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
schulich.yorku.ca Opportunities, Career Development Centre,
Business official website
MySchulich student portal
Schulich Current Graduate schulich.yorku.ca/current- 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 gradblog.schulich.yorku.ca
dates, enrolment and events
Enrolment & fees, Housing & Transportation, Academic
York Online Services currentstudents.yorku.ca
Regulations & Grade Reports
York Counseling & Disability Resources for academic and personal development,
cds.info.yorku.ca individual and group counselling, Learning Skills Workshops
Services
Mission statement, executive reps, student clubs, services
Graduate Business Council gbcschulich.com
and events
Schulich School of Business - 3
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
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.yorku.ca/current-students/graduate-students/key-dates
Schulich School of Business - 5Contact Us
Contact Us
The School’s Division of Student
Services & International Relations
should be consulted on questions Meet us online!
related to admissions, enrolment, schulich.yorku.ca/student-enrolment-services/
registration, grade or course
problems, financial assistance or
special advising.
TITLE NAME ROOM E-MAIL
Kiridaran (Giri)
Associate Dean, Students S344H kkanagaretnam@schulich.yorku.ca
Kanegaretnam
Financial Administrative Assistant Heidi Furcha W262E hfurcha@schulich.yorku.ca
STUDENT & ENROLMENT SERVICES
Director, Student & Enrolment Services Luba Pan W263A panlyuba@schulich.yorku.ca
Manager, Student Success Cathlin Sullivan W263D cathlin@schulich.yorku.ca
Manager, Communications Beth Gallagher W262G bethlg@schulich.yorku.ca
Records & Promotion Assistant Sandra Osti W262E sosti@schulich.yorku.ca
Student Success Coordinator Fern Best W262C fbest@schulich.yorku.ca
Student Success Coordinator Lyndsay Vair W262M vairl@schulich.yorku.ca
Registration & Academic Service Assistant Kareene Martin W262P studentservices@schulich.yorku.ca
Student Service Assistant Maria Rizzuto W263B studentservices@schulich.yorku.ca
Systems Coordinator Vivian Sun W263B studentservices@schulich.yorku.ca
Communications Coordinator Nikeeta Machado W262G nikeeta@schulich.yorku.ca
FINANCIAL AID
Assistant Director Admissions & Financial Aid Doris Mak (on leave) W263F finaid@schulich.yorku.ca
Financial Aid Officer Anne Caulfield W263C finaid@schulich.yorku.ca
INTERNATIONAL RELATIONS
Associate Director, International Relations Ann Welsh W262J awelsh@schulich.yorku.ca
Graduate International Program Coordinator Cheryl Stickley W262O cstickley@schulich.yorku.ca
International Information Assistant Lan Yu W262P intlrelations@schulich.yorku.ca
International Student Support Specialist Vino Shanmuganathan W262N vshan@schulich.yorku.ca
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 fbest@schulich.yorku.ca
Management and Information MB 230
Systems 416-736-2100 ext. 44681 Lyndsay Vair
syeomans@yorku.ca denise1@schulich.yorku.ca Student Success Coordinator
vairl@schulich.yorku.ca
6 - Schulich School of BusinessEnrolment
Enrolment
ENROLMENT PROCESS COURSE OFFERINGS AND
WITHDRAWALS
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
W263
• 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
details.
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 (registrar.yorku.ca) 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 - 7MBAN 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.
CAREER OPPORTUNITIES
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!
schulich.yorku.ca/programs/mban
8 - Schulich School of BusinessMBAN Handbook
MBAN at a Glance
PROMOTION STANDARDS
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.
term
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
Intelligence*
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 - 9MBAN 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
Skills
PHIL 5340 3.00 Ethics and Societal
Implications of Artificial
PROFESSIONAL DEVELOPMENT SERIES
Intelligence
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
success.
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 BusinessFaculty
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 - 11MBAN Handbook
Advisory
Course Board
Descriptions
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,
IBM
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 BusinessCourses
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,
Applications
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 - 13Courses
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.
14 - Schulich School of BusinessCourses
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
Services
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
functions.
Schulich School of Business - 15Courses
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
Skills
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
Intelligence
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
responsibility).
16 - Schulich School of BusinessMBAN Handbook
Notes
Schulich School of Business - 17Master of Business Analytics | 2022-2023
Contact Us
Student Services & International Relations
Seymour Schulich Building | York University
4700 Keele Street, Toronto ON M3J 1P3
416-736-5303 | studentservices@schulich.yorku.ca
schulich.yorku.caYou can also read
