analytics / artificial intelligence (AI)

Smith Business

Themes

computing/technology

finance

interdisciplinary

innovation

Smith School of Business

sl158 — Tue, 29 Nov 2022 15:38:28 +0000

Smith School of Business sl158 Tue, 11/29/2022 - 15:38

Business happens beyond boardrooms, markets, and borders. Cultural shifts, geopolitical changes, technology innovations — it all impacts business. At Smith we anticipate the rapidly changing business landscape and prepare you for it.

Smith’s programs deliver the knowledge, skills and personal development you need to thrive in this ever-changing business world. General management or specialized, professional or research-based, degree or development, full-time or while working, we have a rich portfolio of options.

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Department Links

Go to the Smith website

Department Faculty

Smith Business

Themes

finance

interdisciplinary

innovation

Analytics

sl158 — Tue, 29 Nov 2022 15:36:39 +0000

Analytics sl158 Tue, 11/29/2022 - 15:36

The Master of Management Analytics from Smith School of Business is the essential degree for the world of data. Realizing the promise of data analytics requires businesspeople who can find the opportunity in the numbers. Learn to master the essential strategies for applying analytics to business needs and harness the incredible power of data. Understand not only how to use data for business needs, but how to structure and manage complex projects and lead high-performance teams.

Smart use of data can unleash potential, generate competitive advantage, improve customer experience, identify risk, and much more. The Master of Management Analytics is the essential training for these careers. Available in person (downtown Toronto) or via blended learning.

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Degrees

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Faculty

Artificial Intelligence (Management)

sl158 — Tue, 29 Nov 2022 15:35:45 +0000

Artificial Intelligence (Management) sl158 Tue, 11/29/2022 - 15:35

The potential of artificial intelligence is extraordinary. The power to transform operations, customer experiences, and product and service design is exponential. These opportunities cut across every sector. Harnessing AI’s potential for competitive performance requires a new type of professional -- one who not only understands the capacity of the science but has the expertise to apply it to organizational needs and strategies, and who can navigate ethical, economic, and societal implications.

Beginning each year in August, the Smith School of Business's Master of Management in Artificial Intelligence allows you to earn a world-class degree in just 12 months without leaving your current job.

The Program Will Provide:

A strong understanding of the technical principles of AI and modern methods for data search and retrieval and how to practically apply them to real world problems;
Command of best practices in identifying opportunities for and applying AI;
Expertise in the business practices required to effectively use AI and machine learning;
Awareness and engagement in the ethical, economic, and societal impacts of computers exhibiting intelligent behavior;
Enhancement of skills for communicating complex problems and AI solutions to wide audiences in an organization; and
Training in creating and maintaining high performance work teams.

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Program Links

Learn more about MMAI

Themes

Degrees

MASc Program with studies in AI

Delivery Modes

Toronto

Departments

Smith School of Business

Faculty

Smith Business

Artificial Intelligence (Engineering)

sl158 — Tue, 29 Nov 2022 15:35:45 +0000

Artificial Intelligence (Engineering) sl158 Tue, 11/29/2022 - 15:35

The Department of Electrical and Computer Engineering (ECE) has substantial expertise in AI-related methodologies and application areas and is an ideal place for the training of highly-qualified graduates with area-specific knowledge, skills, and competences sought by the Artificial Intelligence (AI) sector.

The ECE Department offers a Vector Institute Accredited Master of Applied Science program with a Field of Study in Artificial Intelligence that provides graduate students with a solid foundation in the principles of AI, machine learning, and deep learning. Graduates will be able to design and analyze AI-related algorithms and methodologies, employ modern scientific and engineering tools, and apply AI-based techniques to tackle complex research problems.

Program Links

Themes

Degrees

Electrical and Computer Engineering

Delivery Modes

Kingston

other

Departments

Faculty

Undergraduate studies in Electrical Engineering

Smith Engineering

Electrical Engineering

sl158 — Tue, 29 Nov 2022 15:35:23 +0000

Electrical Engineering sl158 Tue, 11/29/2022 - 15:35

Undergraduate studies: Electrical Engineering is a broad discipline that spans from the physical world to the purely information-based world. In this program, you will build on a base of applied mathematics and physics and learn to use the laws of physics that govern electrical systems to design new products and services.

Streams of specialization include:

biomedical engineering
communication and signal processing
communication streams and networks
microelectronics and photonics
mechatronics
power electronics and systems
robotics and control

Graduate studies: With collaborative research opportunities, a strong sense of community between faculty and students, and exceptional teaching and research, the Department of Electrical and Computer Engineering (ECE) prepares you to excel in your graduate studies. We offer research-oriented doctoral and master’s programs, including our unique Master of Applied Science in Artificial Intelligence. Our students graduate as experts in their field with strong technical and academic skills.
Degree Offerings: MEng, MASc, PhD, MASc in AI, Accelerated Master’s

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Program Links

Grad studies in ECE

Themes

computing/technology

bachelor's / undergraduate program

Degrees

doctoral program

Electrical and Computer Engineering

Delivery Modes

Kingston

Departments

Faculty

Undergraduate studies in Computer Engineering

Smith Engineering

Computer Engineering

sl158 — Tue, 29 Nov 2022 15:35:19 +0000

Computer Engineering sl158 Tue, 11/29/2022 - 15:35

Undergraduate studies: Computer engineers build connections between the virtual and physical worlds. In this program, you will learn to develop and advance the information and communication technology that is changing the way people live and work.

Streams of specialization include:

artificial intelligence
computer hardware
computer systems
software engineering
mechatronics

Graduate studies: With collaborative research opportunities, a strong sense of community between faculty and students, and exceptional teaching and research, the Department of Electrical and Computer Engineering prepares you to excel in your graduate studies. We offer research-oriented doctoral and master’s programs, including our unique Master of Applied Science in Artificial Intelligence. Our students graduate as experts in their field with strong technical and academic skills.
Degree Offerings: MEng, MASc, PhD, MASc in AI, Accelerated Master’s

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Program Links

Graduate studies in Electrical and Computer Engineering

Themes

computing/technology

bachelor's / undergraduate program

Degrees

doctoral program

Electrical and Computer Engineering

Delivery Modes

Kingston

Departments

Faculty

Smith Engineering

MBA + Analytics

sl158 — Tue, 29 Nov 2022 15:33:19 +0000

MBA + Analytics sl158 Tue, 11/29/2022 - 15:33

There are 2 options for completing the MBA/MMA double degree.

Option 1: Completing the MBA first (recommended)

Option 2: Completing the MMA first

Full-time MBA

If you’re looking to advance your career and be leadership ready, this is the MBA for you. The 12-month, Full-time MBA takes a flexible and highly personalized approach that allows you to build the right program for your career goals. The program is designed to develop exceptional leaders, valuable team members and highly effective managers.

In today’s competitive environment, there are some career paths that demand a level of technical specialization beyond the scope of an MBA program. The Full-time MBA double degree options are designed to accommodate these demands by allowing you to apply some of your MBA credits to a second Master’s degree; there are six double degree options to choose from.

Master of Management Analytics

The essential degree for the world of data. Realizing the promise of data analytics requires businesspeople who can find the opportunity in the numbers. Master the essential strategies for applying analytics to business needs and harness the incredible power of data. Understand not only how to use data for business needs, but how to structure and manage complex projects, and lead high-performance teams. Smart use of data can unleash potential, generate competitive advantage, improve customer experience, identify risk, and much more. But realizing the promise of data analytics requires businesspeople who can find the opportunity in the numbers.

The Master of Management Analytics from Smith School of Business at Queen’s University is the essential training for these careers. Available in person (downtown Toronto) or via blended learning.

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Program Links

Learn more about MBA/MMA

Learn more about MBA

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Themes

Learn more about MBA/MDPM

Degrees

Delivery Modes

Faculty

MBA + Digital Product Management

sl158 — Tue, 29 Nov 2022 15:33:15 +0000

MBA + Digital Product Management sl158 Tue, 11/29/2022 - 15:33

There are 3 options for completing the MBA/MDPM double degree.

Option 1: Completing the MBA first (recommended)

Option 2: Completing the MDPM first

Option 3: Completing the MBA and MDPM concurrently

Full-time MBA

Master of Digital Product Management

Today, every business must be a digital business. Products and services, operations, and innovation are being transformed by digital capabilities. Digital transformation engages business processes and technological implementation. Skilled leaders are needed to ensure success.

This cross-disciplinary degree is built for these changemakers. It provides the skills and knowledge to effectively manage digitalization initiatives – whether in work productivity, automation, micro-learning, or personalized customer experiences, and more. The program covers all stages of the digital product management lifecycle. Students learn how to apply human-centered approaches, use low-code tools to build solutions, and apply modern management practices to lead change and drive real business results.

This innovative 12-month program—offered for the first time in September 2022—leverages the renowned expertise of Smith School of Business and Queen’s School of Computing for a uniquely comprehensive educational experience. Developed in consultation with digital transformation leaders in academia, business, government, and the technology sector, it is the first program of its kind in Canada.

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Program Links

Learn more about MBA

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Themes

Degrees

Delivery Modes

Faculty

MBA + Artificial Intelligence

sl158 — Tue, 29 Nov 2022 15:33:08 +0000

MBA + Artificial Intelligence sl158 Tue, 11/29/2022 - 15:33

There are 3 options for completing the MBA/MMAI double degree.

Option 1: Completing the MBA first

Option 2: Completing the MMAI first (recommended)

Option 3: Completing the MBA and MMAI concurrently

Full-time MBA

Master of Management in Artificial Intelligence

The potential of artificial intelligence is extraordinary. The power to transform operations, customer experiences, and product and service design is exponential. These opportunities cut across every sector. Harnessing AI’s potential for competitive performance requires a new type of professional. One who not only understands the capacity of the science but has the expertise to apply it to organizational needs and strategies, and who can navigate the ethical, economic and societal implications.

Beginning each year in August, Smith's Master of Management in Artificial Intelligence allows you to earn a world-class degree in just 12 months without leaving your current job. The program will provide a strong understanding of the technical principles of AI and modern methods for data search and retrieval, and how to practically apply them to real world problems; a command of best practices in identifying opportunities for and applying AI; an expertise in the business practices required to effectively use AI and machine learning; an awareness and engagement in the ethical, economic, and societal impacts of computers exhibiting intelligent behavior; the enhancement of skills for communicating complex problems and AI solutions to wide audiences in an organization; and training in creating and maintaining high performance work teams.

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Program Links

Learn more about MBA/AI

Learn more about MBA

Learn more about MMAI

Themes

Degrees