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.
Program Approvals: University of Waterloo
The Master of Data Science and Artificial Intelligence (MDSAI) is a new coursework program in the Faculty of Mathematics that will address growing provincial, national, and global needs in the fields of Data Science and Artificial Intelligence. It is offered jointly by the Cheriton School of Computer Science, the Department of Combinatorics and Optimization, and the Department of Statistics and Actuarial Science. The program is based on an interdisciplinary approach, recognizing the importance of computer science, statistics, and optimization in Data Science and Artificial Intelligence. It is structured as a three-term academic coursework program with normally a one co-op option. The main objectives of this program are to provide strong core training so that graduates can adapt easily to changes and new demands from industry; enable students to understand not only how to apply certain methods, but when and why they are appropriate, and expose students to real-world problems in the classroom and through experiential learning.
The Master of Mathematics in Data Science (DS) is a new thesis-based Master’s program in the Faculty of Mathematics, in which students work on a Data Science-related topic with a research supervisor in the field of DS. This program is designed to strategically leverage the breadth and depth of research that currently exists in the Faculty of Mathematics in the field of DS. It does so by offering an integrated and interdisciplinary approach to Data Science that can be best achieved with the three supporting academic units, namely the Cheriton School of Computer Science, the Department of Combinatorics and Optimization, and the Department of Statistics and Actuarial Science. Because of this unique and high-quality training, graduates of this program is anticipated to be in high demand, capable of conducting research in industry or academia within Canada and abroad upon graduation. This program aims to integrate knowledge from computer science, statistics, and optimization, develop expertise in the field of Data Science, and enable the development of original research. In addition, the research program strives to achieve a thorough understanding of the existing methods and techniques used in Data Science, and adapt them to create new and improved solutions.
The Graduate Diploma in Climate Risk Management is designed to meet the needs of early to mid-career professionals who have been tasked with climate change risk management and leadership as part of their professional duties. The Diploma provides graduates interdisciplinary skills to put the latest academic research and climate change strategies into practice for real-world impact in multiple professions. Graduates will achieve competence in the science of climate change, the risks and opportunities posed by a changing climate, and global and national policies and strategies to mitigate and adapt to climate change.
In-depth applied knowledge and skills will also be developed in three of the following areas of climate risk management practice: accessing and interpreting climate data and scenarios (climate analytics); incorporating climate change into business decisions and reporting; managing climate risk as part of professional planning; and greenhouse gas accounting and management.
The Graduate Diploma in Climate Risk Management is a fully on-line program to facilitate upskilling of employed professionals who are not in a position to take a full year leave for a more comprehensive on campus degree program. It is offered on a part-time basis only. Four courses are required for completion. Students complete up to two courses per term of registration.
The PhD in Sustainability Management will be the flagship degree program of School of Environment, Enterprise and Development (SEED) and it will contribute to advancing scholarly knowledge and training on sustainability management in an integrated manner. It will prepare PhD students for a host of career paths making them fully trained for careers within and outside the academia, including research, policy and practice oriented careers with government and non-government organizations. Given its interdisciplinary nature, the program will appeal to Canadian and international students from a broad range of master’s programs in management, the social sciences, applied sciences, engineering and others, which address the role of for-profit, government and third sector organizations in realizing and managing sustainability goals through innovative approaches in both developed and developing economies.
The program is oriented towards those students who want to pursue a PhD on a full time basis and who are interested in applied research based careers in academia, public policy, and business. This PhD degree will add to the existing graduate program offerings in SEED. In particular, it will complement the existing research based master’s program in Sustainability Management (MES). The proposed program will enhance research skills, and develop scholarly knowledge, methods and tools through course work and research in sustainability management.
The Graduate Diploma in Data Analytics (GDDA) is designed to provide students with deep quantitative skills and technical expertise to enable them to help organizations reap the most benefit from big data and to create competitive advantage in today’s highly competitive world. The GDDA’s broad academic and institutional objectives are to 1) offer graduate-level professional education in the emerging area of data analytics; 2) attract professionals and managers at all levels of organizations and across different industries, as well as students who are eager to learn and deepen their analytics skills 3) provide a foundation for students who plan to do applied research in data analytics.
The GDDA aims to enable students to enhance traditional descriptive analytics of explaining what has happened with predictive analytics to foresee what will happen under various future scenarios, and with prescriptive analytics to design best policies and actions under all circumstances. Predictive and prescriptive analytics enable organizations to transform insight into foresight and most importantly make transformative decisions to significantly improve business performance.
The PhD program in Applied Philosophy is a new research program that will involve the completion of course work, a prospectus and a dissertation project. The program will include a significant experiential learning component. The most distinctive feature will be the Applied Research Placement – a two-term activity in which one term is spent doing research and the other involves confronting a practical problem in a placement with a host organization. The goals of the placement are for the students to gain experience in bridging the theoretical and practical aspects of their research areas and to provide the student unique training relevant to both non-academic employers and academic in philosophy. The program also includes courses specifically tailored to train students in application of philosophy to practical problems and the possibility of dissertation projects taking forms beyond that of the traditional monograph.
The program was subsequently closed
The Graduate Diploma in Planning will be an on-line, course-based, professional program primarily for practicing planners and related professions. The Diploma is intended to attract students interested in expanding and updating their knowledge, enhancing their employment flexibility and generating opportunities for advancement. The proposed program is for-credit, offered to domestic and international students. The on-line offering of the proposed program allows practitioners with busy schedules to participate and to count their course work as part of their continuing professional education requirements. The program will normally be offered only for part-time study.
The Graduate Diploma (Type 3) in Green Energy is a for-credit graduate program offered to domestic and international students to advance their professional knowledge and skills in the growing discipline of green energy engineering. It is an online, course-based, professional development program for practicing engineers interested in expanding and updating their knowledge in green energy engineering.
This program will engage practitioners with topics on the science of renewable energy generation, best practices, technology trends and new research directions. As the renewable energy industry continues to expand globally, the program will strengthen the knowledge base of the engineering workforce in the renewable energy and building construction sectors.
The objective of the Integrated Water Management program is to provide students with a broad, multi‐disciplinary foundation in water science and engineering, technology and management. Students will gain discipline expertise from their parent departments. The parent and collaborative programs combined will provide master’s and PhD students with a specialist area of focus and level of understanding of other water-related disciplines such that they can be effective in multidisciplinary or interdisciplinary settings and will prepare:
- master’s students for the workforce or further graduate study and research leading toward a PhD, or
- PhD students for a career as scholars, researchers or practitioners.
The interdisciplinary objective of the collaborative program will be achieved through successful completion of one graduate course on the key principles, concepts, tools and terminology of multiple water-related disciplines covering science and engineering, technology and management aspects and one course where students work in teams to address water issues from an interdisciplinary perspective.