Approved Programs

New undergraduate and graduate for-credit degree programs that have been approved by the Quality Council on or after September 1, 2011 are detailed in this database, which can be searched in multiple ways: by university, year, program level and/or keyword.

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Management of Technology and Innovation, GDip (Type 3)

Graduate Ryerson University
Decision Date: March 20, 2017

Digital technologies continue to provide disruptive innovation in our organizations and in our society.  This Professional Master’s Diploma in the Management of Technology and Innovation is designed to help executives who are responsible for information technology to improve their executive leadership skills and technology and innovation management skills.  This program, housed in the Ted Rogers School of Management, will equip Chief Information Officers (CIOs) with a set of skills, models and frameworks, to manage the ongoing competitive deployment of information technology within specific business sectors and within society. The Diploma courses and capstone project address strategy, innovation, leadership, and global technology trends that will help CIOs develop a higher capability in managing innovative technology as executive leaders within their organizations.

Accounting, GDip (Type 3)

Graduate Ryerson University
Decision Date: January 16, 2017

The Professional Master’s Diploma in Accounting is an industry focussed graduate credential designed to aid students in advancing their accounting careers. The primary objective of the program is to produce graduates with higher order knowledge and critical thinking skills essential to addressing professional business accounting problems. Courses include: Advanced Financial Accounting with Integration; Management Accounting, Planning and Control; Advanced Auditing and Assurance Topics; Financial Statement Analysis and Valuations; and an integrative Capstone. The Professional Master’s Diploma in Accounting will provide a pathway for qualified students to continue their education at a level that will prepare them for further graduate study and/or professional certification (i.e., Chartered Professional Accountant).

Criminology and Social Justice, MA

Graduate Ryerson University
Decision Date: December 14, 2016

In keeping with Ryerson’s tradition of being deeply connected to one of the world’s most culturally and linguistically diverse urban centres, our 3-semester MA emphasizes social justice and critical analyses of existing criminal justice, legal, and social structures. It provides students with the theoretical, methodological, and professional foundations required for understanding various forms of inequality as they intersect with the criminal justice system, and improving access to justice. The MA in Criminology and Social Justice offers structured, yet flexible, options for pursuing advanced study. Our graduate program combines theoretical training in Criminology and socio-legal studies, with practical, real world knowledge and experience. Optional field placement positions complement classroom learning and give students opportunities to apply knowledge while developing valuable networking, mentoring, and career-related skills.

The MA in Criminology and Social Justice prepares students for professional and leadership roles in private, public, and non-profit sectors related to social justice, including: local communities, NGOs, government, international organizations, the legal profession, and academia.

Canadian Business, GDip (Type 3)

Graduate Ryerson University
Decision Date: June 6, 2016

The Professional Master’s Diploma (PM Diploma) in Canadian Business is intended to prepare graduates to be successful in Master of Business Administration Programs in Canada and in the Canadian workplace. Internationally educated students can be disadvantaged due to unfamiliarity with North American MBA classroom norms of experiential learning and may be challenged in performing analysis that requires familiarity with Canadian business history and Canadian industry. This program addresses the knowledge gaps in preparing for understanding issues associated with Canada and Canadian business culture, important sectors, and historical development in the workplace. The diploma program will provide students with knowledge of the Canadian business environment and history, and the skills necessary to succeed by emphasizing active, experiential learning as well as specific written and oral communication skills.

Finance for Social Innovation, GDip (Type 3)

Graduate Ryerson University
Decision Date: June 6, 2016

The Professional Master’s Diploma (PM Diploma) in Finance for Social Innovation will provide a detailed overview of new financial instruments for funding and investing in organizations with a mandate to address social issues. “Finance for Social Innovation” describes a growing sector outside the conventional world of financial services organizations that seek market-based solutions to fund organizations and projects seeking to address social issues. The program content represents an emerging area of study in finance. It draws on the subfields of corporate governance, behavioural finance, business ethics, and management. This area represents a small, but growing area of research within the field of finance and economics. It is also an active area in several fields of social science, including sociology, social services, economics, and management.

Data Science and Analytics, MSc

Graduate Ryerson University
Decision Date: December 18, 2015

The Master’s of Science in Data Science and Analytics is an interdisciplinary one-year degree program, comprising six courses that prepare students to become data scientists. Faculty members involved in the program possess the diverse skill sets needed for this emerging discipline. The program provides advanced training in data science and analytics principles and methodologies, and highlights their applications in solving problems in various industry, government and research domains. Technical skills such as mathematics, statistics, operations research, and programming are core competencies that are in the greatest demand in the marketplace. The Master’s program is designed to provide these competencies.

Data science is an interdisciplinary field that combines expertise from several domains. The program is supported by four faculties to reflect the interdisciplinary nature of the field. Students will learn how data science and analytics can help improve decisions throughout an organization’s value chain, understand how recommendations lead to tangible actions through prescriptive analytics techniques, gain a good understanding of methods used in building such data-driven models, and acquire hands-on experience with analytics tools that are widely used in practice. The program will engage industry partners (such as IBM, St. Michael’s Hospital, The Hospital for Sick Children, Microsoft Research, The Globe and Mail, and the Toronto Stock Exchange) to access extensive data in health care, software engineering, social media, services and finance.

Biomedical Engineering, MEng, MASc, PhD

Graduate Ryerson University
Decision Date: November 27, 2015

The Graduate Program in Biomedical Engineering (MEng, MASc and PhD) prepares students for careers in biomedical engineering by providing advanced education and research opportunities with the aim of improving healthcare through the development of innovative medical technologies. This interdisciplinary program spans the Departments of Chemical Engineering, Electrical & Computer Engineering, and Mechanical & Industrial Engineering to provide distinctive focus on the development of healthcare devices and applications, including those from the emerging areas of digital healthcare, healthcare information and communications technology (ICT), and mobile/telemedicine. Within the program, students will have the opportunity to advance their own research, tap into Ryerson University’s leading faculty-based research, or work on industry-related projects. Students are also supported by a network of experienced faculty supervisors and will have educational opportunities at research hospitals, including St. Michael’s Hospital and the University Health Network. In addition, students can create, or be involved with, startup companies through joint ventures between Ryerson University and St. Michael’s Hospital that combine researcher expertise with state of the art labs, infrastructure, and commercialization activities. The Graduate Program in Biomedical Engineering supports student development in biomedical engineering R&D to meet demand for better medical devices, more sophisticated medical equipment, and improved biomedical procedures.

Child and Youth Care, MA

Graduate Ryerson University
Decision Date: November 27, 2015

The MA in Child & Youth Care provides professional practice-oriented training and research skills for individuals working with young people with complex needs, social and emotional difficulties, mental health challenges, or otherwise affected by trauma and adversity. Graduates will be able to work in clinical, human service and policy settings on multi-disciplinary teams to create client-level or systemic change. The program includes three streams of concentration: clinical practice, management and policy development stream, and research. The program provides advanced theoretical and practice learning in highly specialized courses, a field placement in a professional practice, policy or research setting, and the completion of a research-focused MRP. This program provides for full-time and part-time, in class and online options for completion of all requirements, with residency required for the first term only.

Engineering Innovation and Entrepreneurship, MEIE

Graduate Ryerson University
Decision Date: November 27, 2015

Grounded in Lean Startup methodology, the MEIE program enables engineering students and industry professionals to advance their own research, tap into leading faculty-based research, or work on industry-identified customer’s challenges, in the fields of Biomedical Engineering, Energy & Sustainability, and Emergent Technology. By integrating lecture-based and practicum learning experiences, the program builds student capacity to design the legal, technical, and business structures that form successful technology ventures. Students will learn to manage projects with critical time demands, regulatory issues and large growth potential. The program prepares students for success and resiliency in entrepreneurship, venture capital, new business development, and other related fields. This program also is ideal for students seeking a competitive advantage in industry by understanding how to drive disruptive innovation and establish new business ventures within existing companies. Unique in its methodology and focus, the MEIE program also provides resources essential for student success including; a network of experienced business and technical mentors, state-of-the-art incubator space, and a seed funding grant competition to support venture growth. The MEIE program is a comprehensive applied learning experience for students interested in the conversion of technologically promising discoveries into innovative and sustainable business opportunities.

Mathematical Modelling and Methods, PhD

Graduate Ryerson University
Decision Date: November 27, 2015

Mathematical Modelling and Methods is an interdisciplinary PhD program, based on applied research combining various mathematical modelling aspects of Biomathematics, Discrete Mathematics, and Financial Mathematics. The program is designed to prepare highly skilled research scientists for careers in both academia and industry and is focused on applications and collaboration with industry partners. The Department of Mathematics has well-developed interactions with industry as well as collaboration with applied research institutes, which distinguishes the proposed program from other ones in Ontario and within Canada. The doctoral program is housed in the Department of Mathematics at Ryerson University, strategically located within the Greater Toronto Area and with access to a number of major financial institutions, research hospitals, and technology companies. Students will have job opportunities in academia, financial companies and banks, hospital research laboratories, and in companies whose business is to analyse and use data.