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QS Rank:

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189

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University of Ottawa

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Ottawa

Canada

The Master of Science in Digital Transformation and Innovation with Concentration in Applied Data Science at the University of Ottawa is an exemplary program designed to equip students with the vital skills needed to excel in today’s rapidly advancing technological landscape. This program focuses on blending theoretical knowledge with practical applications, ensuring that graduates are not only knowledgeable but also adept at tackling real-world challenges. As industries evolve through digital transformation, the demand for skilled professionals in data science grows exponentially. The University of Ottawa stands at the forefront of this change, offering a curriculum that is both relevant and forward-thinking.

The curriculum for this Master's program is robust, encompassing a comprehensive set of courses aimed at enhancing critical thinking, technical skills, and innovative problem-solving abilities. Core courses include Applied Data Science, which delves into data analytics techniques and tools, and Digital Transformation Strategies, exploring how organizations can leverage technology for strategic advantage. Additionally, students will engage in courses such as Machine Learning, Big Data Analytics, and Data Visualization. This varied course selection provides students with a well-rounded education in both the theoretical and practical aspects of data science and innovation.

The faculty at the University of Ottawa is another cornerstone of this program's excellence. Comprised of distinguished scholars and industry experts, the faculty members bring a wealth of knowledge and experience to the classroom. They employ an interactive teaching methodology that facilitates active learning, encourages student engagement, and promotes a collaborative atmosphere. By participating in cutting-edge research and projects, students also have the unique opportunity to assist faculty members, gaining hands-on experience while contributing to pioneering discoveries in the field of applied data science.

Research opportunities are abundant within this program, supported by the university’s commitment to fostering an environment of inquiry and exploration. Students have access to state-of-the-art facilities and resources, including high-performance computing labs and data analytics platforms. This infrastructure enables them to conduct meaningful research that can influence industry practices and contribute to academic knowledge. Collaborative projects with local industries further enhance the research experience, allowing students to apply their skills in real-world settings while building valuable professional connections.

The University of Ottawa is strategically located in Canada’s capital, providing students with numerous internship possibilities and industry connections. The program has established partnerships with key players in various sectors, facilitating internships that offer practical experience and enhance employability. Graduates of this program can look forward to a diverse range of career pathways, including roles such as Data Scientist, Business Analyst, Software Engineer, and Machine Learning Engineer. The average base salary for graduates stands at an impressive $90,000, reflecting the high demand for skilled professionals in this field.

Alumni success stories further underscore the program's positive impact. Graduates have gone on to work for leading companies, develop their own startups, or pursue further education in prestigious PhD programs. Their testimonials speak volumes about the quality of education and the supportive network they gained at the University of Ottawa. They often highlight how the program not only equipped them with technical skills but also fostered a mindset of innovation and entrepreneurship, which has been crucial in their careers.

In addition to its academic rigor, this program offers unique features that distinguish it from other master’s programs. The focus on digital transformation ensures that students are prepared to lead in a tech-driven world. Furthermore, the program's emphasis on collaborative learning fosters a vibrant community where students can share ideas, engage in discussions, and develop a network of peers and professionals that will benefit them throughout their careers.

Admission to the Master of Science in Digital Transformation and Innovation with Concentration in Applied Data Science requires prospective students to meet specific criteria. Applicants must provide a transcript from their previous degree, a resume, and at least one academic letter of recommendation. Additionally, international students are required to demonstrate proficiency in English through standardized tests such as TOEFL or IELTS, with minimum scores of 100 and 7.0 respectively.

Why Study Digital Transformation and Innovation with Concentration in Applied Data Science at the University of Ottawa

  • A comprehensive curriculum that covers essential topics in applied data science and digital innovation, preparing students for the future job market.
  • Access to world-class faculty who are not only excellent educators but also active researchers and industry practitioners.
  • Opportunities to engage in valuable research projects and internships that foster professional development and networking.
  • A supportive learning environment that encourages collaboration and innovation, enabling students to thrive academically and professionally.
  • Strong ties with industry leaders and a high graduate employability rate, ensuring that students are well-prepared for their careers.

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Duration

24 Months

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Median Salary

$85,000

Ranking

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#215

US World and News Report

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#162

The World University Rankings

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#189

QS World University Rankings

Class Profile

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Class Size

30

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Average Age

28

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Average Work Experience

3 Years

Diversity

Others:

2%

Ontario:

45%

Saskatchewan:

2%

Manitoba:

5%

Quebec:

25%

British Columbia:

15%

Alberta:

10%

Career Outcomes

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Median Earnings After Graduation

$85,000 / year

Prospective Job Roles

Statistician

Product Manager

Research Scientist

Software Engineer

Entrepreneur

Data Analyst

Data Scientist

Business Analyst

Consultant

Machine Learning Engineer

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • TOEFL

    100

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  • IELTS

    7

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

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    Transcript

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    Academic LOR

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    Resume

Application Deadlines

Fees and Funding

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Tuition Fees

$11,766 / year

Funding Options

External Sources - Scholarships

Department Funding

To apply, submit a complete application for admission within a few weeks of the priority deadline for best results.

Scholarships

The University of Ottawa offers a variety of scholarships and bursaries for students in the Master of Science in Digital Transformation and Innovation with Concentration in Applied Data Science program. These scholarships are based on academic merit, financial need, or a combination of both. The university also offers a number of graduate assistantships, which provide students with the opportunity to work on research projects or in administrative positions while they complete their degree.
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    Schulich School of Business

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    Mitacs Globalink Research Internship

FAQs

  • A student can complete Digital Transformation and Innovation with Concentration in Applied Data Science at University of Ottawa with in 24.
  • The application fee to pursue Digital Transformation and Innovation with Concentration in Applied Data Science at University of Ottawa is CAD 110 for international students.
  • The annual tuition fee to pursue Digital Transformation and Innovation with Concentration in Applied Data Science at University of Ottawa is CAD 11766.
  • The submission of these scores mainly depends on the type of degree/ course selected at the University of Ottawa. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check University of Ottawa requirements before submitting a score.
  • Digital Transformation and Innovation with Concentration in Applied Data Science can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more
  • If a student fulfils all the eligibility criteria and admission requirements of University of Ottawa, they can easily pursue Digital Transformation and Innovation with Concentration in Applied Data Science. The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.
  • An MS degree at University of Ottawa can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official University of Ottawa website to check the course/ degree duration.
  • One can apply for scholarships to pursue their international education at University of Ottawa by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.

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