Program Overview

Graduate Certificate: Business Intelligence and Data Analytics

The Graduate Certificate in Business Intelligence and Data Analytics at the Haskayne School of Business equips students with the skills to extract and interpret data, manage the information technology requirements within an organization, and oversee the introduction of new technologies.

Program Overview

Designed for professionals looking to upskill or pivot into analytics, this program provides hands-on in-person learning in:

• Data management
• Statistical analysis
• Business analysis and business improvement
• System analysis and design
• Change management
• Artificial intelligence

Program Benefits

The Haskayne School of Business is ranked among the top 10 business schools by Macleans (2023) and is a top 5 research university according to Re$earch InfoSource Inc. (2022). The program offers a competitive advantage, with 87% of Canadian data professionals viewing data utilization as a competitive differentiator (Sisystems, 2024). Organizations implementing data-driven marketing strategies achieve a 15% increase in ROI (Logit Group, 2024).

Fast-Track Your MBA

Earning the Graduate Certificate in Business Intelligence and Data Analytics is a stepping stone toward a Haskayne MBA. With 12 units of graduate coursework, students can seamlessly ladder their certificate into the full MBA program, giving them a head start.

What Will I Learn?

To earn a certificate, students must complete four required courses:

Data Management and Business Analytics

Organize, store, and manage available data using relational database technologies and generate insights through business analytics techniques.

Data Analytics I

Discover tools, methods, and software packages used in data analytics to collect, organize, and prepare clean data for analysis.

Enterprise Analysis

Explore enterprise analysis and management of IT-enabled solutions to business problems, with emphasis on problem identification, requirements determination, process analysis, enterprise architecture design, and IT auditing using the COBIT framework.

Data Analytics II

Discover tools and methods used in data analysis and mapping methods, such as data mining, text mining, machine learning, social network analytics, and preference mapping, and their application to business data analytics.

Admissions

To be admitted into this graduate certificate program, applicants must have completed either:

• An undergraduate degree with a GPA of 3.0 (out of 4.0) in a quantitative-focused area such as Business/Commerce, Engineering, Mathematics, Computer Science, or Technology.
• A Master of Business Administration, Master of Management, or an equivalent degree with a GPA of 3.0 (out of 4.0) from a recognized/accredited post-secondary institution. Prior work experience is not a requirement for admission.

Applicants for whom English is not a first language must complete either:

• IELTS: a minimum of 7.0 on the Academic version, with at least 6.0 in each section.
• TOEFL: a minimum of 97 (iBT version) with at least 20 in each section.

Faculty

The program is led by experienced faculty, including:

• Dr. Raymond Patterson, PhD, Professor of Business Technology Management (BTM) and Haskayne Research Professorship in BTM.
• Dr. Osman Alp, PhD, Professor of Operations and Supply Chain Management and Program Coordinator for the Digitization for Innovative Supply Chains (DISC) Consortium.

Program Structure

The in-person program can be completed in 8 to 10 months, with the flexibility to take two courses per term to fit the student's schedule. Applications are accepted for each fall term, with a deadline of June 1.

Additional Information

For additional information on admission criteria, please refer to the university's Academic Calendar. The University of Calgary is situated on land Northwest of where the Bow River meets the Elbow River, a site traditionally known as Moh’kins’tsis to the Blackfoot, Wîchîspa to the Stoney Nakoda, and Guts’ists’i to the Tsuut’ina. The university acknowledges and pays tribute to the traditional territories of the peoples of Treaty 7.