Skip to main content
Ontario Tech acknowledges the lands and people of the Mississaugas of Scugog Island First Nation.

We are thankful to be welcome on these lands in friendship. The lands we are situated on are covered by the Williams Treaties and are the traditional territory of the Mississaugas, a branch of the greater Anishinaabeg Nation, including Algonquin, Ojibway, Odawa and Pottawatomi. These lands remain home to many Indigenous nations and peoples.

We acknowledge this land out of respect for the Indigenous nations who have cared for Turtle Island, also called North America, from before the arrival of settler peoples until this day. Most importantly, we acknowledge that the history of these lands has been tainted by poor treatment and a lack of friendship with the First Nations who call them home.

This history is something we are all affected by because we are all treaty people in Canada. We all have a shared history to reflect on, and each of us is affected by this history in different ways. Our past defines our present, but if we move forward as friends and allies, then it does not have to define our future.

Learn more about Indigenous Education and Cultural Services

Master of Business Analytics and AI (MBAI)

The Master of Business Analytics and Artificial Intelligence (MBAI) is a professional degree program that provides students with a theoretical knowledge base and practical experience working with data and people in decision making. The content of the degree covers three main domains which are applications of AI, Business Analytics, and Management Opportunities. The program provides students with multiple perspectives about business analytics and artificial intelligence, ranging from ethical and managerial level understanding of implications to practical applications of programming business analytics and AI solutions. Graduates of the Master of Business Analytics and AI can find highly successful careers in a variety of business analytics roles in private and public sectors where data is used to make decisions.

 

Apply Now

Apply Now

Curriculum and Courses

Curriculum and Courses

Admission Requirements

Admission Requirements

Full-time and part-time study options

Full-time and part-time study options

Careers

The amount of data generated from our activities on the web and devices every day is staggering. With over 2.5 quintillion bytes of daily data, there is an increased need to understand how to work with this data to increase our ability to make sense of business, society, and the planet. 

Many businesses struggle to hire employees with both data and business analytics skills, with projected workforce demand growing each year. The Master of Business Analytics and AI program will create graduates who will seamlessly transition to these positions. 

Graduates will be equipped with the tools and methods to help organizations make sense of the past and predict the future using advanced analytics and AI. Graduates will be trained in how to manage the data, as well as the legal, ethical, and moral issues that surround the use of digital information in its many forms which include sensor data, images, text, voice, and video. 

 

What are the full-time study requirements?
  • 10-12 month program. 
  • 4 courses per semester.
  • The option is between a 2-month comprehensive capstone project or a 4-month internship over the summer semester.
  • Between 10-20 hours of group work and self-study per week.

What are the start dates for the program? 

 Fall Start

What is the delivery method?

 Hybrid 

When can I apply for the full-time program?

Applications open in September for the following year.

Apply now.

What are the part-time study requirements?
  • Completion in under two years of study. 
  • 2 courses per semester.
  • The option is between a 2-month comprehensive capstone project or a 4-month internship over the second summer semester.
  • Between 6-10 hours of group study/self-study per week. 

What are the available start dates for the program?

 Fall 2022

What is the delivery method?

 Hybrid 

When can I apply for the part-time program?

Applications open in September for the following year. 

Apply now. 
In addition to the general admission requirements for graduate studies, Master of Business Analytics and AI applicants must meet the following program-specific requirements.
● While applicants may hold any four-year honours undergraduate degree (or its equivalent from a recognized institution), preference is given to applicants whose undergraduate degree is in the field of business, management, economics, informatics, or related fields.
● Minimum overall academic standing of a B (GPA: 3.0 on a 4.3 scale or 73 to 76 per cent), with a minimum B average in the last two full-time years (four semesters) of undergraduate work or equivalent. Work experience or a strong GMAT can be used in lieu of the GPA requirement
● Successful completion of at least one course in information systems and one course in advanced mathematics (e.g., linear algebra, calculus, statistics, etc.)
● For non-English degree of study, the IELTS test of 7.0 or TOEFL of 100 is required

For tuition information, please refer to the School of Graduate and Postdoctoral Studies.

905.721.8668 ext. 6209
Fees, funding, and general grad finance questions: gradfinance@ontariotechu.ca 
Inquiries about scholarships and awards: gradscholarships@ontariotechu.ca 

Current Tuition and Fees

Amirali Abari, PhD

Amirali Abari, PhD

Assistant Professor
Networking and IT Security
Nader Azad

Nader Azad

Assistant Professor
Operations
Carolyn McGregor AM

Carolyn McGregor AM

Dean
Information Systems
Ana Duff

Ana Duff

Assistant Teaching Professor
Math and Economics
Patrick Hung

Patrick Hung

Professor
Networking and IT Security
Stephen Jackson

Stephen Jackson

Associate Professor
Information Systems
Amin Ibrahim

Amin Ibrahim

Associate Teaching Professor
Information Systems
Salma Karray

Salma Karray

Professor 
Marketing
Peter Lewis

Peter Lewis

Associate Professor 
Management Information Systems
Fletcher Lu

Fletcher Lu

Associate Professor
Information Systems
Stephen Marsh

Stephen Marsh

Associate Professor
Information Systems
Samaneh Mazaheri

Samaneh Mazaheri

Assistant Teaching Professor
Networking and IT Security
Theresa Miedema

Theresa Miedema

Associate Teaching Professor
Management/Law
Amir Rastpour

Amir Rastpour

Assistant Professor
Operations
Gabby Resch

Gabby Resch

Assistant Professor
Management Information Systems 
Karthik Sankaranarayanan

Karthik Sankaranarayanan

Associate Professor
Operations
Alexander Serenko

Alexander Serenko

Associate Professor
Information Systems
Julie Thorpe

Julie Thorpe

Associate Professor
Networking and IT Security
Miguel Vargas Martin

Miguel Vargas Martin

Professor 
Networking and IT Security
Wei-Lin Wang

Wei-Lin Wang

Assistant Professor 
Marketing

Professional designations are available to graduates of the program and are a great addition to your resume.

 

cap_logo.pngThe Certified Analytics Professional (CAP)

The CAP is the leading certification for Analytics Practitioners. Taking the CAP exam will separate you from the crowd and create greater opportunities to enrich your career.  

 

 

 

sas-logo.pngSAS Certification 

SAS certifications are globally recognized, so having them on your resume shows you've received in-depth training from industry experts. 

  • MBAI 5100G - Business Analytics

    This course will provide a coverage of concepts and tools used in different stages of a data analytics project, including problem definition, data collection and preparation, data analysis, and knowledge transfer. Statistical and other analytical tools such as data mining, machine learning, social network analytics, text mining and their application to business will be explored. 

    In the current business world, data is a crucial valuable asset owned companies. It is vital for businesses to be able to effectively and efficiently define their problems, collect required data, examine the data, and communicate this information in an appropriate manner to decision makers. Given the massive amount of data available and constant technological advancements in the field of data analytics, it is crucial that students gain skills required to tackle these data-related problems. This course will provide hands-on training for learning these sought-after skills. 

  • MBAI 5110G - Big Data Systems Design
    The ability for organization to ingest and analyze significant volumes of data as it is generated and retrospectively is becoming a fundamental need for organizational success. Big Data systems design is a design and planning approach that enables the systemic planning of how and organization will ingest ad analyze these significant volumes of data for given organization objective(s). The goal of Big Data systems design is to improve organizational success and through improved organization processes and improved customer experiences. This course enables students to combine solution components based on the type of Big Data and organizational objective to formulate an integrated BIg Data systems design. Solution components include Big Data storage, Big Data processing and BIg Data analytics including artificial intelligence. Students will also assess how the BIg Data systems design can ben provisioned in the cloud.
  • MBAI 5200G - Ethical and Legal Issues in Analytics and AI

    This course highlights key legal and ethical issues related to data analytics and AI. Increasingly, scholars and practitioners are urging data scientists and businesspersons to be more cognizant of the accidental and intentional harms cause by the widespread deployment of machine learning and AI. THis course examine potential liabilities in law related to data analytics and AI and juxtaposes legal requirement with ethical considerations. The course will also explore some of the most pressing ethical issues related to data analytics and AI. This course situates these exploration in the context of a set of core guiding principles for ethical and responsible data management. 

    Possible topics include: obtaining meaningful consent to the collection of data; standard contractual provisions related to data analytics; liabilities related to outsourcing elements of data analytics (jurisdiction); privacy-related torts; negligence liability; ethical frameworks; implicit bias and the problem of bias in AI; tensions fairness and IP rights in black box AI; and the principles of ethical research in AI. 

  • MBAI 5300G - Programming and Data Processing
    The first part of the course studies data processing using the following Python libraries: Pandas, Matplotlib, NumPy, SciPy, and others. Jupyter notebooks will be used for visualization. In process, the course introduces Calculus and Statistics for machine learning. The second part of the course studies natural language processing techniques, network analysis, web log data analysis, and data integration techniques including data Wrangling.
  • MBAI 5310G - Artificial Intelligence Programming
    Students will learn to program a computer system to make predictions on, classify or cluster data that the system has never seen before. Topics include theory and practice of supervised and unsupervised learning such as reinforcement learning covering well-known algorithms such as linear regression, Naive Bayes, support vector machines, ensemble methods, K-means, and convolutional and recurrent neural networks. The course uses the Python programming language with TensorFlow and Keras.
  • MBAI 5400G - Visualization and Storytelling
    Data visualization is used by decision makers at the highest level of power to make sense of complex issues, form policy, and communicate insights to the publics. Knowing how to 'speak the language of data' is crucial skill in our contemporary information society. This highly interactive and hands-on course teaches important narrative concepts and visualization techniques that students will employ as they learn to tell engaging stories with data. The course examines visualization design concepts, interaction methods, elements of story construction, and common data storytelling formats. Students will apply predictive methods to uncover patterns in a number of real-world production, supply and sales case studies. They will also use industry-standard visualization tools to create coherent reports, dashboards, and data stories designed to help organizations make data-driven decisions.
  • MBAI 5410G - Digital Transformation
    In today's business world, IT has become increasingly important to organization to deploy new digital technologies to survive, grow and transform. This course will provide students with a critical understanding of the systems, techniques, tools, methodologies and platforms needed to enable enterprise transformation in the digital era. Strategic and operational issues surrounding digital transformation, including project management, leadership and change, enterprise architecture/infrastructure, business process improvement and implementation methodologies will be considered. Students will also acquire an understanding of different technologies that can drive digital transformation.
  • MBAI 5500G - Security, Privacy and Trust in AI System

    Artificial Intelligence (AI) increasingly impacts how humans live, work and play online and in the physical world. In all of their interactions with AI and the physical world, human produce great quantities of data that can be available for the AI to analyze and make inference from. At the same time, AI systems act, decide and recommend in ways that affect us and our society. This raises natural questions about the potential for use, misuse and protection of these data and systems, that can beyond purely legal perspective. 

    This course uses a sociotechnical outlook (humans and machines work together as a system) to examine AI and its interaction with privacy, security and trust in the light of current and potential future advances. Using case studies, refection and theory, the course will examine technologies and techniques of location-based analytics, voice enables systems, personal AI-based assistants, face recognition technologies, and decision-support systems, as well as potential technologies of the (near and medium term) future. 

    The course will cover use, ethics, efficacy, policy and impact, positive and negative, on privacy and security issues in AI. It will also explore the impacts these technologies may have on business, society and individuals, as well as human-AI trust and the perception of AI trustworthiness. The course will examine AI and data-focused security tools and techniques as well as ways to decide when and how appropriate use of data may be warranted. The course will examine techniques for processing data whilst still enabling their use, including differential privacy and tools for trustworthy AI. 

Semester
Course Codes
Fall MBAI 5100G- Business Analytics MBAI 5200G- Ethical and Legal Issues in Analytics and AI MBAI 5300G- Programming and Data Processing MBAI 5400G- Visualization and Storytelling
Winter MBAI 5110G- Big Data Systems MBAI 5500G- Security, Privacy and Trust in AI Systems MBAI 5310G- Artificial Intelligence Programming MBAI 5410G- Digital Transformation

Spring

(option between)

 MBAI 5600G- Applied Integrative Analytics Project MBAI 5700G- Business Analytics Internship
Semester
Year
Course Codes
Fall Year 1 MBAI 5100G- Business Analytics MBAI 5400G- Visualization and Storytelling
Winter Year 1 MBAI 5110G- Big Data Systems Design MBAI 5410G- Digital Transformations
Fall Year 2 MBAI 5200G- Ethical and Legal Issues with Analytics and AI  MBAI 5300G- Programming and Data Processing
Winter Year 2 MBAI 5500G- Security, Privacy and Trust in AI Systems MBAI 5310G- Artificial Intelligence Programming

Spring

(option between)

Year 2

 MBAI 5600G- Applied Integrative Analytics Project MBAI 5700G- Business Analytics Internship

Vector Institute logoThe MBAI program has been recognized by the Vector Institute as an AI-Related Master’s program in Ontario.

Students in the MBAI program become part of the Vector Institute community and receive access to networking and career events, the Digital Talent Hub, professional development, and other opportunities to grow your AI career! 

Students in the program are also welcome to apply for the competitive Vector Scholarships in Artificial Intelligence, which provides $17,500 towards an AI-related master’s degree at an Ontario university

 


International Students
${alt}

International Students

Graduate awards and funding
${alt}

Graduate awards and funding