The Master of Business Analytics (MBAN) provides students with sought-after analytical skills within a broader business context. Students will be trained to apply advanced analytical tools and methods to address management challenges in today’s business world.
Program Overview
In the MBAN, all students progress through the program together as a cohort within a set, standard curriculum.
MBAN Program Overview - Updated July 6, 2021
The structure and components of the MBAN program are described using some terms that students should become familiar with:
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- A Period is equivalent to half a Term and is 6 weeks long (5 weeks of instruction, 1 week for evaluation). The MBAN program is made up of 5 Periods that run from September until the end of May.
- There is one course - Business Immersion - that runs as a week long intensive course and does not fall within a designated Period.
- Courses are held within Periods and are worth 1.5 credits each. MBAN students are typically registered in 4-5 courses per Period.
Courses will cover a variety of key subject areas: Data Management, Data Analytics, Decision Analytics, Business Context, Business Skills, and Experiential Learning.
NOTE: Due to the set curriculum, successful completion of every course is mandatory.
In addition to regular courses, the program includes a number of unique elements that support career development that are applied to learning:
Career Development
In partnership with the Hari B. Varshney Business Career Centre, the Career Development course (BA 520) provides students with the tools and resources to guide the transition from student to professional. Career Development Course curriculum includes a self-assessment, career research techniques, skill development sessions, résumé and cover letter writing tips, interview preparation, and networking opportunities with industry experts – all tailored to individual professional experiences and opportunities as an MBAN student.
Internship
The MBAN internship is a 3.0 credit course that enables students to apply the analytical and practical skills learned in their coursework and create connections with other analytics leaders in the industry.
Please follow this link to watch recording of MBAN Internship Info Session from October 19, 2021
Schedules
Program Schedule
- MBAN Class of 2022 Period 1 to 5 Program Schedule - Updated February 10, 2022
Exam Schedule
- MBAN Class of 2022 Period 1 Exam Schedule - Updated September 28, 2021
- MBAN Class of 2022 Period 2 Exam Schedule - Posted November 15, 2021
- MBAN Class of 2022 Period 3 Exam Schedule - Updated January 21, 2022
- MBAN Class of 2022 Period 4 Exam Schedule - Posted March 23, 2022
- MBAN Class of 2022 Period 5 Exam Schedule - Posted April 29, 2022
NOTES:
- Students are required to attend all classes and mandatory career professional development sessions during each Period.
- Dates for workshops, info sessions, make-up classes, and exams can change with limited notice. As such, it is expected that students do not book any travel to occur until after each Period's exam week is completely finished.
- Exam schedules are subject to change so students are not to book any travel, appointments, interviews, etc. during exam week so time is reserved in case of emergency modifications.
Course Outlines & Canvas Sites
Students should review the course outlines carefully before classes begin each period. Students are expected to do any pre-readings and/or preparation as noted on outlines and come prepared to the first lecture of each course.
Course Outlines
Please note that outlines are posted prior to the start of each period.
Students should review the course outlines carefully before classes begin each period. Students are expected to do any pre-readings and/or preparation as noted on outlines and come prepared to the first lecture of each course.
COURSES THAT SPAN SEVERAL PERIODS
COURSE | INSTRUCTOR |
BA 520 Career Development | Jesse Grimaldi |
REGULAR COURSES
Period 1 Courses | INSTRUCTOR |
BABS 506: Analyzing and Modeling Uncertainty (posted August 12, 2021) | Harsha Perera |
BAIT 508: Business Analytics Programming (posted August 12, 2021) | Gene Lee |
BAMS 506: Optimal Decision Making I (posted August 17, 2021) | Steven Shechter |
BABS 507: Descriptive and Predictive Business Analytics (posted August 12, 2021) | Wendy Kei |
Period 2 Courses | INSTRUCTOR |
BAIT 507: Data Management for Business Analytics (posted October 15, 2021) | Nader Beyzaei |
BAMA 517: Data Driven Marketing (posted October 15, 2021) | Mark Chen |
BAMS 508: Optimal Decision Making II (posted October 15, 2021) | Steven Shechter |
BAMS 517: Decision Analysis Under Uncertainty (posted October 15, 2021) | Steven Shechter |
BA 580C: Business Immersion | Danielle van Jaarsveld Darren Dahl Mahesh Nagarajan Sima Sajjadiani |
Period 3 Courses | INSTRUCTOR |
BABS 508: Advanced Predictive Business Analytics (posted December 2, 2021) | Katherine Sutherland |
BAIT 580A: Database Applications in Business Systems (posted December 7, 2021) | Gittu George |
BAIT 509: Business Applications of Machine Learning (posted December 2, 2021) | Joel Ostblom |
BASC 500: Process Fundamentals (posted December 6, 2021) | Harish Krishnan |
Period 4 Courses | INSTRUCTOR |
BABS 502: Forecasting and Time Series Prediction (posted February 15, 2022) | Katherine Sutherland |
BAMA 520: Customer Analytics (posted February 10, 2022) | Yanwen Wang |
BAMS 503: Simulation Modeling I: Data Processing and Monte Carlo Simulation (posted February 14, 2022) | Steven Shechter |
BASC 523: Supply Chain Management (posted February 18, 2022) | Harish Krishnan |
Period 5 Courses | INSTRUCTOR |
BAFI 508: Data Driven Investments | Adlai Fisher |
BAMA 511: Pricing Analytics | Chunhua Wu; Tim Huh |
BAMS 504: Simulation Modeling II: Queueing and Discrete Event Simulation | Steven Shechter |
BAMS 521: Analytics Leadership | Harish Krishnan |
BA 509: Analytics Internship |
Canvas Sites for Courses
This 2022 MBAN Program site is the overall program site and is the main information source as an MBAN student. It contains general information about the program but not about specific courses students are enrolled in. If you are not familiar with Canvas, please watch this tutorial video.
Individual Canvas sites for courses are developed and maintained by instructors. Instructors may or may not use Canvas and will usually indicate on their course outline as to whether they will have a site. Individual sites will begin to appear on the Canvas Homepage under "Dashboard" as instructors populate and release them closer to the start of each Period.
Administration & Registration
Grading Requirements
The MBAN program has strict Academic Standing & Grading Practices for all courses. Students are permitted a limited number of "failed" and/or "minimal pass" (60-67%) grades. If a student exceeds this limit, they will be forced to withdraw from the program. We ask all students to familiarize themselves with these requirements prior to the start of classes.
Students do not need to take any action regarding course registration! All of this will be done by the Robert H. Lee Graduate School and students will be registered in courses by the beginning of July.
NOTE: Please disregard any notices from UBC Central regarding registration for the Fall session. The MBAN program is on a different schedule than the rest of the university so the messages about registration do not apply to our students.
Student Service Centre (SSC)
Students can access a variety of administrative information related to the MBAN program through the Student Service Centre (SSC).
At this site students can:
- Check current registration
- Change mailing address and/or e-mail address information
- Look up tuition fees and due dates
- View grades
- Apply to graduate
- And much more!
To access the SSC, students need a Campus Wide Login (CWL), which is the same as the ID and Password used to log into Canvas.
Transcripts (SSC)
If students require a copy of the UBC transcript, it can be ordered online via the SSC.
Course Materials
- UBC Bookstore (course packages & textbooks)
- The Sauder School of Business Store (payment of course fees)
Rules on the Use & Distribution of Course Materials
Any materials posted on Canvas course sites will be available for you to access and download for four weeks after the final exam. As you will be using the intellectual property of external authors and/or UBC professors in your own studies, please be aware of the following rules around the handling and distribution of those materials:
- Cases and readings are protected under copyright law and therefore you must not share these documents with anyone. Any official publications that are posted on a Canvas course site have copyright clearance for students enrolled this specific course only.
- Class slides are the instructor’s property and most instructors do not want their slides to be distributed. If you have questions about this, please approach your instructor directly.
- Exams/assignments/feedback must not be shared with students who may subsequently take the same course.
It is your responsibility to avoid copyright infringements and the distribution of materials that are intended for your use only.
Rules with Degree Progress
RHL students should use the designation "MBAN in progress” on resume, LinkedIn, email signature, business signature, etc. As a student in a Professional Master program, the term "candidate" should not be used because candidacy is not an officially recognized degree program status at the Master's level (it is intended for the doctoral level), based on UBC policy.