| Location | Email Address | Program Website |
|---|---|---|
| W263, Seymour Schulich Building | admissions@schulich.yorku.ca | schulich.yorku.ca/programs/mban/ |
Master of Business Analytics Program
The Master of Business Analytics is a professional degree program offered by the Schulich School of Business and 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.
The Business Analytics program may serve as a foundation to pursue a PhD in this field.
Students gain a conceptual understanding and methodological competence of established techniques in business analytics that are used to create and interpret knowledge in various business environments. They are 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 of this program understand how to apply business analytics to generate solutions that balance time, resources and complexity. They 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.
Please visit http://schulich.yorku.ca/mban for more information.
Admission Requirements
Applicants should possess an undergraduate degree from a recognized postsecondary institution with a minimum B+ average in the last two full years (or equivalent) of academic work. To be considered for admission to the MBAN program, applicants must have an undergraduate degree from a postsecondary institution in one of the following subjects: mathematics, business, computer science, economics, engineering or science.
Successful applicants will have completed at least one university course on a listed topic, from at least two of the three categories below.
Mathematics/Statistics
- introductory statistics
- calculus
- data mining and machine learning
- introduction to data science
- linear algebra
Computer Science
- introduction to programming
- introduction to data structures
- algorithms
- introduction to databases
- data mining
Business
- business intelligence
- data management
- data science for business
- artificial intelligence for business
- business analytics
- post-degree work experience is recommended but not mandatory.
- demonstration of academic ability through high GMAT/GRE are recommended but not required.
- proof of English language proficiency if prior studies were not completed in English: Test of English as a Foreign Language (iBT): 100 with minimum component scores of 23 or International English Language Testing System: 7.0 overall with minimum component scores of 6.5. Strong applicants whose first language is not English and do not meet the above language requirements may be considered for admission with the condition of completion of the MBA/Specialized Master’s Preparation Program offered by the York University English Language Institute.
- completion of the online application including submission of essays, an up-to-date résumé and two references.