Program Overview

Introduction to the MSc Program in Data Science and Analytics

The Master of Science (MSc) degree program in Data Science and Analytics is a unique interdisciplinary program that enables students to develop technical and applied knowledge in data science and analytics. Graduates of this program are highly trained and qualified data scientists who can pursue careers in industry, government, or research.

Program Overview

The program is offered as a one-year full-time or two-year part-time MRP option and a two-year full-time Thesis option. Students can opt to take the program fully virtually or as a combination of virtual and in-person courses. The MSc in Data Science and Analytics is delivered in both lecture-based and hands-on lab learning environments, where students can develop and apply their skills to complex, real-world datasets and data science and analytics problems.

Program Details

• Degree offered: MSc
• Program length: 1 year full-time or 2 year part-time (MRP option), 2 year full-time (Thesis option)
• Program delivery: The program can be completed fully virtually or as a combination of virtual and in-person courses.

Program Objectives

The program aims to provide students with interdisciplinary skills and a deep understanding of technical and applied knowledge in data science and analytics. Data science is an interdisciplinary field that combines expertise from several domains, including statistics, math, machine learning, operations research, data visualization, communication, and domain expertise. The program focuses on 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, and gain hands-on experience with analytics tools widely used in practice.

Key Program Features

• Advanced training in data science and analytics principles and methodologies
• Applications in solving problems in various industry, government, and research domains
• Technical skills such as mathematics, statistics, operations research, and programming as core competencies
• Engagement with industry partners to access extensive data in healthcare, software engineering, social media, services, and finance

Faculty and Research

Faculty members involved in the program possess the diverse skill sets needed for this emerging discipline. The program provides a unique interdisciplinary design where students learn from experts in the field and gain practical experience through collaborations with industry partners.

Research Areas

The program focuses on various research areas, including but not limited to:

• Data science and analytics applications in healthcare
• Software engineering and data science
• Social media analytics
• Services and finance analytics

Conclusion

The MSc program in Data Science and Analytics at Toronto Metropolitan University is designed to provide students with the skills and knowledge required to become highly demanded data scientists. With its interdisciplinary approach, advanced training, and industry collaborations, this program offers a comprehensive education in data science and analytics.