Every dataset tells a story, and those who can decode it are shaping the future. Data scientists are redefining the possibilities of the modern world: They’re advancing precision medicine, innovating artificial intelligence, predicting financial market trends, and streamlining global supply chains.
Maybe you started your journey at a data science bootcamp, or with a data analytics certification, and now you’re looking to advance your education to become an architect of progress, using data to tackle the world’s toughest challenges.
Many of the computer science courses and programs included in CourseCompare’s ranking of the best Master’s in Data Science are recognized by the Vector Institute, granting exclusive access to scholarships and career opportunities. Also on this list are select Masters of Business Analytics with specializations in Data Science or Artificial Intelligence offered at some of the country’s leading business schools, specifically designed to give learners the technical training to understand, analyze, and leverage insights from complex data in fast-paced business environments.
Each degree is designed to prepare you to lead innovation by driving breakthroughs and revolutionizing industries with smarter automation and decision-making, in careers that are rewarding in every sense of the word. CourseCompare’s ranking evaluated the mix of theoretical and applied training, with emphasis on practical applications and experience, alongside program reputation and graduate success.
If you’re ready to transform raw data into meaningful impact, these top Master in Data Science programs of 2026 will give you the tools to lead the charge.
CourseCompare’s annual school rankings are determined using a process that considers several core metrics and principles. Read more about our methodology here.
University of Toronto
Established in 1827, the University of Toronto (U of T) is Canada’s oldest and largest post-secondary institution. Anchored downtown Toronto, they also have vibrant campuses in Scarborough and Mississauga, welcoming students from more than 178 countries worldwide. The U of T library research system is Canada’s largest, second largest in North America, and they’re world-renowned for innovative research in medicine, artificial intelligence (AI), social sciences, and more.
The Master of Science in Applied Computing (MScAC) at U of T combines advanced coursework and practical experience to prepare students for leadership roles in technology and data science. Students complete eight months of classes in areas such as data science or computer science, followed by an eight-month applied research internship, providing a balance of academic learning and hands-on industry exposure.
The Department of Statistical Sciences also offers the Master of Science in Statistics program with a Data Science Focus, emphasizing statistical methodologies and their applications to real-world challenges. Students benefit from interdisciplinary research opportunities and a robust computing infrastructure.
What Students Are Saying
Wexa Aeke, MSC in Applied Computing (MScAC)“Good and serene place to learn. Teachers and professors are among the best in the world with indepth knowledge and 21st Century skills and experience. Teaching approach and methodology very pragmatic, hands-on and up-to-date. I am having a good time in my program and I highly recommend the University of Toronto. ”
Program Highlights
U of T’s MScAC program is unique with its equal lengths of in-class learning and internship, focusing on the practical, job-focused applications of data science as opposed to a purely theoretical approach. Partnerships with leading organizations such as the Bank of Canada, Loblaw, and LG Electronics offer students valuable internship opportunities with top companies, research institutions, and non-profits.
The MSc program provides expertise in advanced statistical methods, data analysis, and computational techniques, which are essential for tackling real-world data science challenges. With access to state-of-the-art computing facilities, research opportunities, and cross-departmental collaborations (e.g., with Computer Science and Public Health), graduates are well-prepared for roles in data-driven fields across academia, industry, and government.
Locations
Toronto
University of Waterloo
Established in 1957, the University of Waterloo attracts top talent for its acclaimed academic programs, world-class co-op education, and research excellence. In addition to its main campus in Waterloo, it operates satellite locations in Cambridge, Kitchener, and Stratford.
Waterloo offers two standout paths in data science: the Master of Data Science and Artificial Intelligence (MDSAI) and the research-intensive Master of Mathematics in Data Science (MMath). Graduating from Waterloo provides students exclusive access to their Graduate Data Science Job Board, featuring opportunities from industry partners like GM, Microsoft, BMO, and more.
The MDSAI is a three-term coursework-based program integrating computer science, statistics, and optimization, providing a comprehensive education in data science and AI. The program’s flexible design means students can choose full-time co-op or part-time non-co-op options to accommodate diverse professional needs.
The MMath program is research-focused, combining computer science, statistics, and optimization to develop expertise in data science. This interdisciplinary approach equips graduates with the skills to contribute original research in the field, and present their work at top industry conferences.
What Students Are Saying
Tanisha Ghorpade“It's an amazing university. You can literally watch yourself getting smarter while you study here. The faculty is really good and there are immense opportunities on campus with respect to innovation. It's a tough university and you must study extremely hard to stay here. All in all I'd say it's one of the best universities in the world. ”
Program Highlights
The optional co-op in the MDSAID program provides invaluable hands-on experience in high-demand industries like tech, healthcare, and finance, bridging academic learning with real-world application.
The MMath program offers students the chance to engage in cutting-edge data science research, contributing to advancements in areas such as machine learning, optimization, and big data analytics
Locations
Waterloo, Ontario
University of British Columbia (UBC)
The University of British Columbia (UBC) has been recognized as a global centre for research and teaching since it opened in 1915. A school with an entrepreneurial, innovative spirit, UBC’s Master of Data Science (MDS) program, offered at their Vancouver and Okanagan campuses, emphasizes applied learning and real-world problem-solving for advanced data science careers.
The specialized Master of Data Science in Computational Linguistics (MDSCL) program combines core data science courses with advanced topics like natural language processing (NLP), preparing graduates to tackle challenges in computational linguistics, by enabling technologies like translation tools, voice assistants, and chatbots to bridge communication gaps, enhance accessibility, and streamline human-computer interactions.
What Students Are Saying
Anonymous, Master of Data Science“The master of data science at UBC was developed by the university's Computer Science and Statistics Departments to give students interested in data science a fast track to a great career. I'm just starting the degree, but so far I'm impressed by the students in my cohort, who are not only smart but passionate about applying what they learn to their careers and various research interests. I chose the program because of how practical I thought it would be compared to some other master's programs. The schedule so far is intense, with courses packed into two and four-week sessions that us cover topics in depth. I'll come back to leave a longer review after I graduate, but so far I'm very glad I chose this program. ”
Program Highlights
Designed to be completed in just 10 months, both the MDS and MDSCL programs provide concentrated hands-on learning, helping students transition into the workforce quickly. Both programs culminate in an intensive eight-week capstone project, giving students real-world experience solving data challenges in collaboration with industry partners.
The MDSCL uniquely combines foundational data science courses with advanced computational linguistics, equipping graduates to work on cutting-edge language technologies that are changing our world.
MDS courses are taught exclusively by a core team of faculty members who are fully dedicated to the MDS program, ensuring focused instruction and support for students, and welcome students from various academic backgrounds (including sciences, arts, and business) fostering a rich, interdisciplinary learning environment.
Locations
Vancouver and Okanagan Valley
Université de Montréal
Located in the heart of Québec, Université de Montréal (UdeM) is a global leader in research and innovation. Known for its dynamic and forward-thinking academic environment, UdeM offers students the chance to engage in cutting-edge research and gain access to a wide array of professional opportunities.
The Master of Science in Computer Science program at UdeM is designed to provide students with a deep understanding of advanced topics in computer science, including artificial intelligence, computational biology, and operations research. Students have the option to pursue either a thesis-based or an internship-based track, gaining practical, hands-on experience that prepares them for successful careers in academia, industry, and research.
Program Highlights
Students have access to UdeM’s Department of Computer Science and Operations Research (DIRO) cutting-edge research labs, including:
- Computer Graphics Lab (LIGUM): Focused on geometry processing, modeling, and animation, with industry partners such as Disney Research, Microsoft Research, and Ubisoft.
- Robotics and Embodied AI Lab (REAL): Dedicated to developing generalist robots and other embodied agents, affiliated with Mila, the Quebec Artificial Intelligence Institute.
- RALI Laboratory: Specializes in natural language processing, applying computer science principles to human languages.
UdeM’s strong industry connections with tech leaders like Mila – Quebec Artificial Intelligence Institute (which collaborates with industry giants like IBM to advance AI research) and GEODES Research Group offer students an enriched environment for learning, with chances to collaborate on groundbreaking projects and contribute to innovations that shape the future of computer science.
Locations
Montreal
Western University
Established in 1878, Western University is one of Canada’s premier research-intensive institutions, consistently ranking among the top universities worldwide. With a global alumni network exceeding 372,481 across 160 countries, Western graduates make significant contributions to national and international communities.
Western’s one-year Master of Data Analytics (MDA) program consists of two terms of on-campus courses, followed by a summer experiential learning opportunity. The program blends coursework in computer science, statistics, and business, geared towards both general practitioners of data analysis and more specialized technical analysts. The curriculum is “flexible”, geared towards the experience and desired outcomes of each student.
Western also offers a Collaborative Specialization in Artificial Intelligence (CSAI) through its graduate computer science program to enrich graduate studies in Computer Science and Electrical and Computer Engineering with an interdisciplinary focus on AI. This program adds a tailored module to studies, building a strong foundation in AI methodologies and cutting-edge technologies like big data platforms, data management systems, and GPU programming. Beyond the technical, CSAI also addresses the critical social, ethical, and practical implications of AI, equipping students to navigate the complexities and opportunities of this transformative field.
Program Highlights
The MDA program’s summer term includes industry placements, giving students valuable workplace experience and networking opportunities with companies like TD Bank Group, and the mandatory consulting project provides students with paid industry placements to apply their data analytics skills in real-world settings. This hands-on experience is designed to bridge academic learning with practical application, preparing students for analytics-focused careers in public and private sectors.
Locations
London, Ontario
Simon Fraser University
Established in 1965 and named after the explorer Simon Fraser, SFU is a leading Canadian public research institution with campuses in Burnaby, Vancouver, and Surrey, British Columbia. SFU is recognized for its innovative programs and commitment to academic excellence.
SFU’s Master of Science in Big Data program was the first of its kind in Canada, and offers a blend of academic depth and hands-on learning, designed to prepare students for leadership roles in data science. Unlike traditional thesis-based degrees, this program does not have a research component. Instead, almost half of the coursework consists of hands-on lab training and carefully developed instructional courses.
From designing innovative models and algorithms to building software that extracts powerful insights from massive datasets, this program empowers future data leaders to drive decision-making and shape industries. Developed with input from an advisory panel of industry leaders, the curriculum focuses on cutting-edge technologies, including scalable machine learning systems and cloud computing.
Program Highlights
Through the mandatory co-op placement, students tackle real-world scientific, engineering and socio-economic problems while gaining valuable project management experience and expanding their network of industry contacts from prestigious organizations such as the B.C. Ministry of Health and AVCORP. Graduates are well-prepared for roles such as data scientists, data solutions architects, and chief data officers.
Locations
Burnaby, British Columbia
Dalhousie University
Founded in 1818 in Halifax, Nova Scotia, Dalhousie University is one of Canada’s oldest and most prestigious universities. With its proximity to Atlantic Canada’s growing technology and innovation sectors, Dal provides students with ample opportunities to build industry connections and gain hands-on experience.
Dalhousie offers two advanced programs in technology and analytics: the Master of Digital Innovation (MDI) and the Master of Applied Computer Science (MACS). These programs are designed to give students practical and theoretical knowledge, focusing on interdisciplinary applications of data science, IT, and business analytics to solve real-world challenges.
The MDI program emphasizes applied learning and digital transformation. Students explore topics like user experience design, information systems, and digital business models, preparing for roles in tech-driven industries. The MACS program, meanwhile, focuses on equipping students with advanced programming, data management, and analytics skills. With its mix of coursework, experiential learning, and capstone projects, the program enables students to develop innovative solutions for complex data challenges across sectors like healthcare, finance, and logistics.
Program Highlights
MDI students engage in multidisciplinary projects that apply emerging technologies to address societal and business challenges. With a focus on real-world applications, the MDI program prepares graduates to lead digital transformation in industries such as e-commerce, cybersecurity, and environmental technology.
The MACS program combines advanced technical training in data science, machine learning, and software engineering with experiential learning opportunities. Students complete industry-based projects and internships, gaining hands-on experience with cutting-edge tools and methods.
Both programs emphasize collaboration with industry partners in Atlantic Canada and beyond, giving students access to internships, mentorships, and networking opportunities with organizations like IBM, Nova Scotia Health, and local tech start-ups.
Locations
Halifax, Nova Scotia
University of Ottawa
Nestled in the heart of Canada’s capital, the University of Ottawa (uOttawa) bridges the gap between academia and a city driven by government, tech, and research innovation. As the largest bilingual university in the world, uOttawa combines its multicultural flair with academic excellence, making it a top choice for forward-thinking students.
The Master of Digital Transformation and Innovation (MDTI) with a Concentration in Applied Data Science offers a cutting-edge approach to mastering data-driven solutions. This program prepares students to take on the challenges of digital transformation by combining technical skills with strategic leadership. With a mix of data science, analytics, and innovation management, graduates are ready to succeed in fields like tech, finance, healthcare, and public policy.
With Ottawa’s thriving tech ecosystem and proximity to influential institutions, students have the chance to connect with industry leaders like IBM and Giatec Scientific, preparing graduates for impactful careers that drive real change.
Program Highlights
As a bilingual university, uOttawa offers students access to both Canadian and international opportunities, preparing them to navigate diverse markets and cultures.
Through the program, students expand their professional network by connecting with industry leaders across tech, government, and business sectors. The MDTI program includes a capstone project, allowing students to apply their knowledge by solving real-world challenges for businesses and government organizations.
Graduates emerge as digital transformation leaders able to harness the power of data, streamline operations, and create solutions that shape the future.
Locations
Ottawa, Ontario
Trent University
Trent University, established in 1964 in Peterborough, Ontario, is situated on a picturesque 1,400-acre campus along the Otonabee River. Trent is renowned for its commitment to interdisciplinary studies and personalized learning experiences. The university’s unique collegiate system fosters a close-knit academic community, enhancing student engagement and collaboration.
Trent’s Master of Science in Applied Modelling and Quantitative Methods (M.Sc.) program offers a comprehensive exploration of computational modeling across various disciplines. Students can choose between thesis-based and course-based streams, tailoring their studies to align with specific academic and professional aspirations.
Students enrolled in Trent’s MSc in Applied Modelling and Quantitative Methods can choose between three specialized streams:
Big Data Analytics Stream: This stream emphasizes advanced data science techniques, including data mining, modeling, and visualization, preparing students to tackle complex datasets in both research and industry settings.
Financial Analytics Stream: Focused on the theories and techniques of financial analysis, this stream equips students with the skills necessary for dynamic careers in the evolving financial sector.
Data Science and Analytics (DS&A) Stream: Designed to provide students with advanced skills in data handling, computational techniques, and quantitative analysis. It focuses on preparing graduates to work with complex datasets and develop innovative solutions across multiple industries.
What Students Are Saying
Hadi F“I had an amazing experience at Trent University in my master degree. The campus is very beautiful, the faculty is dedicated and supportive, and the diverse range of programs provides excellent opportunities for personal and academic growth. The sense of community is strong, and the facilities are top-notch. I highly recommend Trent to anyone seeking a vibrant and enriching educational journey. Five stars without a doubt!" ”
Program Highlights
Trent’s Big Data Analytics stream emphasizes large-scale data systems, Financial Analytics targets finance-specific modeling, and the DS&A stream provides a more general focus on versatile analytical techniques and their application across multiple industries.
Designed to accommodate various schedules, the program can typically be completed within 16 months, offering both full-time and part-time options to suit individual needs.
Through hands-on projects and real-world data analysis, students develop practical skills that are directly applicable to industry challenges, enhancing their readiness for the job market.
Locations
Peterborough, Ontario
Toronto Metropolitan University
Established in 1948, Toronto Metropolitan University (TMU) has grown into a dynamic university offering over 125 programs across seven academic divisions. Situated in the heart of Toronto, one of North America’s largest tech hubs, TMU provides students with access to industry leaders, networking opportunities, and a thriving data science community.
TMU’s Master of Science in Data Science and Analytics (MSc) is designed to provide students with interdisciplinary skills and a deep understanding of both technical and applied aspects of data science. The program is available in two formats: a one-year full-time option and a two-year part-time option, catering to full-time students and working professionals.
TMU also offers a Master of Engineering Innovation and Entrepreneurship (MEIE) program combining technical expertise with entrepreneurial problem-solving, leveraging data-driven insights to drive innovation. The program emphasizes data-informed decision-making, empowering students to assess risks and craft effective business strategies for engineering innovations. This integration of data science principles prepares graduates to lead in tech-based entrepreneurial ventures. Students can tailor their studies by choosing from three distinct tracks: Biomedical Engineering, Emerging Technology, and Energy and Sustainable Innovation.
Program Highlights
MSc in Data & Analytics courses are delivered through a combination of lectures and hands-on lab sessions, enabling students to apply theoretical knowledge to complex, real-world datasets and analytics challenges. The curriculum prioritizes experiential learning, preparing students to address real-world challenges with practical, actionable solutions.
Flexible scheduling accommodates full-time students and working professionals, and with Toronto’s strong data science job market, students have opportunities to network with leading companies and professionals during their studies.
Key aspects of the MEIE program include using data for product development and refinement, applying predictive modeling to analyze market trends and forecast growth, and creating AI or data-centric solutions for startups. MEIE students also receive full membership to TMU’s Innovation Boost Zone (IBZ), an early-stage tech incubator, and access to a network of over 30 mentors from a wide range of businesses including Hydro One, Schneider Electric Canada, and more.
Locations
Toronto, Ontario
Carleton University
Carleton University was established in 1942 in Ottawa and is renowned for its innovative programs and commitment to interdisciplinary studies. The university’s dedication to academic excellence and societal impact makes it a compelling choice for students pursuing advanced studies in data science
Carleton offers a Collaborative Specialization in Data Science, integrating data science methodologies into 13 participating master’s programs, including Biology, Computer Science, Economics, and Engineering. This structure allows students to tailor their education to be as practical or theoretical as they prefer, with options to pursue a thesis, coursework-only, or project-based approach within their primary discipline.
What Students Are Saying
Andrew McDonald, Select Course“Came here for my masters and it was a good place. Classes were small so gave you that chance to get to know the professors. Tunnel system is also great as you can stay inside during the cold cold winters. The academic writing centre was very very useful when writing my thesis. I would suggest this to improve your writing. The Paul Menton centre was also very accommodating for classes accommodations. ”
Program Highlights
Students benefit from access to expert faculty across multiple departments, fostering a rich, multidisciplinary learning environment.
By embedding data science methodologies into various fields such as business, engineering, and health sciences, the program prepares students to apply analytical skills in diverse professional contexts.
Industry partnerships with companies like Ericsson, CAE, and IBM provide students with valuable industry expertise, networking opportunities, and hands-on training.
Locations
Ottawa, Ontario
HEC Montreal
Established in 1907, Hautes Études Commerciales (HEC) Montréal is Canada’s first university-level business school, renowned for its leadership in management education and research. It is one of the few business schools worldwide to hold the prestigious “triple crown” of accreditations: AACSB, AMBA, and EQUIS, achieved by only 1 percent of institutions worldwide. (AMBA focuses on MBA program quality, AACSB evaluates overall business school performance, and EQUIS emphasizes global reach and corporate connections, collectively representing the highest standards in business education.) They frequently rank among the top business schools globally for programs in management and analytics.
HEC Montréal’s Master of Science – Data Science and Business Analytics (MSc.) program focuses on advanced methods in optimization, statistical modeling, and machine learning, equipping students with the skills to build complex data models and apply analytical techniques to solve business problems. It offers two tracks: a research-oriented thesis and a practical, project-based option.
HEC also offers a Master of Science (MSc.) in Business Intelligence, emphasizing the strategic use of data and information systems to support organizational decision-making processes. It provides advanced expertise in business intelligence, covering areas such as data analysis, data mining, and predictive modeling. Students can choose between a supervised project or a thesis to apply their learning.
What Students Are Saying
Chris Arnold, Master of Science (MSc) - Data Science & Business Analytics“HEC is a French-focused institution through and through. The recruiters that come to visit will reflect that as well. It is generally a good idea to have a solid grasp on the French language if you plan to attend and work in a French speaking area with an MBA level education. If you want to build connections with the French speaking business community in Canada, there is no better choice than HEC. ”
Program Highlights
The MSc. in Data Science and Business Analytics blends technical training with management skills, addressing the growing demand for professionals at the intersection of analytics and business strategy. The dual-track system allows students to customize their learning to their career goals: Students benefit from training in programming languages and analytics tools, as well as opportunities to collaborate with industry and research organizations such as the Institute for Data Valorization (IVADO). Faculty associated with Montréal’s renowned MILA AI research institute bring additional expertise to this program.
The MSc. in Business Intelligence provides practical experience through mandates within partner organizations, allowing students to apply their academic learning in a professional setting, gain hands-on experience, and build valuable industry connections, often leading to job placements or professional recommendations. Students also have access to specialized resources, including research chairs and labs like Tech3Lab, which focus on integrating business intelligence solutions into real-world contexts
Students in both programs benefit from industry partnerships with organizations like Radio-Canada, CN, Sobey’s, and more.
Locations
Montreal
Smith School of Business at Queen's University
With a rich history dating back to 1841, Queen’s University is an internationally acclaimed academic research hub, and home to notable alumni such as Nobel Prize winner Dr. Arthur B. McDonald, and NASA astronaut and geophysicist Andrew J. Feustel.
Their Master of Management Analytics (MMA) is a one-year program tailored for professionals seeking to turn data into strategic business decisions, equipping them to tackle real-world challenges such as optimizing supply chains, enhancing customer insights, managing risks, and forecasting market trends through advanced tools like predictive modelling and machine learning combined with business strategy. Flexible study options include downtown Toronto classes or a mix of online and live remote learning, along with two immersive sessions at Queen’s Kingston campus. Graduates pursue roles such as Business Analyst, Data Scientist, or Director of Data Sciences across sectors like technology and finance.
Queen’s also offers a Master of Management in Artificial Intelligence (MMAI), a 12-month program designed for professionals eager to integrate AI into business strategies. Blending AI and machine learning expertise with business management training, the curriculum emphasizes ethical, economic, and societal implications – an uncommon focus in similar programs. Students engage in lectures, seminars, and a capstone project that applies AI to real-world challenges, with classes conveniently held at SmithToronto, their state-of-the-art teaching centre, to accommodate working professionals.
What Students Are Saying
Bernadette Gill, Master of Management Analytics“My MMA program meets Wednesdays and Saturdays, and is nicely balanced between analytics and business and management training. The profs are world-class - just amazing! - and know how to make learning fun. The staff are also incredible and will go above and beyond to set you up with great job opportunities, even though the Smith School already has a sterling reputation with employers. As a part-time program, I was worried the pace would be too slow, but students get 24/7 access to DataCamp, an interactive learning platform for data science. (This is how I became an R & Python whiz.) I had 6 interviews and 4 offers just before I graduated (I was in the upper 20% of my class). I'm also a driven networker. But I simply couldn't have done it without the motivation, learning and support I received through the MMA program. ”
Program Highlights
MMA students can participate in the Queen’s University Alternative Asset Fund (QUAAF), North America’s only student-run hedge fund, providing practical experience in asset management. The MMA Blended program also offers two optional international study trips (to Singapore or Spain) in partnership with Smith’s international business school partners.
The MMAI program specifically incorporates ethical, economic, and societal considerations of AI into its curriculum, a relatively rare focus compared to other similar programs. With faculty from diverse fields, including computer science, statistics, and business, students gain a well-rounded and deep understanding of their disciplines.
Students in both programs benefit from unmatched industry leadership from Advisory Board members from organizations like Walt Disney Parks & Resorts, BMO, Deloitte, and more.
Locations
Toronto and Kingston, Ontario; Online
Schulich School of Business
The Schulich School of Business was established in 1965 as the Faculty of Administrative Studies, and has evolved into one of Canada’s premier business schools, renowned for its innovative programs and global reach. Schulich’s commitment to responsible business practices has earned it the distinction of being ranked #1 globally in teaching responsible business by Corporate Knights.
Schulich’s Master of Management in Artificial Intelligence (MMAI) is a one-year program that bridges AI expertise with business strategy, preparing students to lead in the rapidly evolving world of artificial intelligence. Its curriculum blends technical foundations, such as natural language processing and algorithmic business analysis, with essential business skills, including interpersonal management and case analysis. Students work on collaborative AI projects with industry partners, gaining practical experience in real-world applications of AI in business.
Their Master of Business Analytics (MBAN) equips students with the analytical tools to drive data-informed strategic decisions. This program emphasizes practical learning, featuring a hands-on Analytics Consulting Project where students tackle real-world business challenges. The curriculum also provides extensive training in data visualization and analytics software, ensuring graduates are well-prepared for roles in data science and business analytics.
Program Highlights
A key component of the MMAI program is the Artificial Intelligence Consulting Project (AICP), where student teams design and implement AI-centered solutions to significant business problems. This involves working in the Schulich Deloitte Cognitive Analytics and Visualization Lab and at client sites, engaging directly with industry managers, technicians, suppliers, and other stakeholders. Industry partners include Bell Canada, Hewlett-Packard Canada Corp., Onex Corporation, and more.
The MBAN program includes hands-on training in data visualization and analytics software, as well as an Analytics Consulting Project (ACP) focusing on data analytics and visualization, guiding students to interpret large datasets and generate actionable business insights using existing tools and techniques.
Locations
Toronto, Ontario
Editorial Team
There are quite a few benefits of learning data science online, but one of the major benefits of earning a data science degree online is flexibility. Most universities have part-time options for students who work full-time and do not require on campus visits. Asynchronous programs are completely self-paced so students are in full control of their schedules and can manage their work-life balance. Other programs offer synchronous teaching, which is more hands on and interactive students view lectures at a scheduled time in the comfort of their own home or neighborhood coffee shop. Some universities offer online masters in data science programs year round so there’s no need to wait for specific dates to apply and get started.