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.
Pre-program Overview
Below you can find an overview of what to expect until the start of your program
Onboarding Timeline for the MBAN
Program Overview
In the MBAN, all students progress through the program together as a cohort within a set, standard curriculum.
MBAN Academic Program Overview - Updated October 5, 2022
The structure and components of the MBAN program are described using some terms that students should become familiar with:
-
- Program Periods: A Period is equivalent to half a regular university Term and is 6 weeks long (5 weeks of instruction, 1 week for exam/final evaluation). The MBAN program is made up of 5 Periods that run from September until the end of April.
- Courses are held within Periods and are worth 1.5 credits each. MBAN students are typically registered in 4-5 courses per Period with the exception of Period 5 (see note below on one-two week intensive courses).
- Career Professional Development Course: 1.5 credit course of career content that is intentionally woven throughout the program. Students receive personal and professional development through customized services focused on self-exploration, career development and access to business communitie
- Internship Prep Week: Career Prep Week is a crucial component of the MBAN degree providing the necessary tools for continuous professional development. MBAN students gain the tools preparing them for their unique career journey
- One-two week intensive courses:
- Three courses – Business Immersion (3 credits), Data Visualization (1.5 credits), & Experiments and Causal Interference (1.5 credits)– are structured as a week-long intensive course scheduled outside of a designated Period
- Period 5 is made up of two courses – Simulation Modeling & Analytics Leadership – structured as a two-week long intensive course
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 1.5 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
Schedule
MBAN Academic Program Schedule - Updated April 14, 2023
Exam Schedule
- MBAN Class of 2023 Period 1 Exam Schedule - Posted September 21, 2022
- MBAN Class of 2023 Period 2 Exam Schedule - Posted November 16, 2022
- MBAN Class of 2023 Period 3 Exam Schedule - Posted January 11, 2023
- MBAN Class of 2023 Period 4 Exam Schedule - Posted March 23, 2023
- MBAN Class of 2023 Period 5 Exam Schedule (To be posted)
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
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 | Joyce Wong, Logan Lorenz, Carly Boettcher |
REGULAR COURSES
| Period 1 COURSES | INSTRUCTOR |
| BABS 506: Analyzing and Modeling Uncertainty (posted August 25, 2022) | Hao Zhang |
| BAIT 508: Business Analytics Programming (posted August 25, 2022) | Gene Moo Lee |
| BAMS 506: Optimal Decision Making I (posted August 25, 2022) | Steven Shechter |
| BABS 507: Descriptive and Predictive Business Analytics (posted August 25, 2022) | Martha Essak |
| Between P1 and P2 | INSTRUCTORS |
| BAIT 518: Data Visualization (posted October 3, 2022) | Stephen Barichello Laurel Xiao |
| Period 2 Courses | INSTRUCTOR |
| BAIT 507: Data Management for Business Analytics (posted October 10, 2022) | Zeliha Ural Merpez |
| BAMA 517: Data Driven Marketing (posted October 20, 2022) | Mark Chen |
| BAMS 517: Decision Analysis Under Uncertainty Analytics (posted October 20, 2022) | Hao Zhang |
| BAMS 508: Optimal Decision making II (posted October 24, 2022) | Steven Shechter |
| Period 3 Courses | INSTRUCTOR |
| BABS 502: Forecasting and Time Series Prediction | Martha Essak |
| BAIT 509 BA1 and BA2: Business Applications of Machine Learning | Samin Aref |
| BAIT 580A: Database Applications in Business Systems | Gittu George |
| BASC 500: Process Fundamentals | Harish Krishnan |
| Between P3 and P4 | INSTRUCTORS |
| BAMA 580A: Experiments and Casual Inference | Yann Cornil |
| Period 4 Courses | INSTRUCTOR |
| BAFI 508: Data Driven Investments | Adlai Fisher |
| BASC 523: Supply Chain Management | Chris Ryan |
| BAMA 520: Customer Analytics | Yangwen Wang |
| BABS 508: Advanced Predictive Business Analytics | Martha Essak |
| Period 5 Courses | INSTRUCTOR |
| BAMS 503: Simulation Modeling | Steven Shechter |
| BAMS 521: Analytics Leadership | Harish Krishnan |
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)