Bachelor of Data Science

Application Fees : CAD$ 251

Undergraduate Entry Requirements:

1. Academic Achievement: International students applying for undergraduate programs at the University of Waterloo are expected to have a minimum academic achievement of 80% or above in their secondary school studies.  

2. English Language Proficiency: The accepted English language tests and their minimum score requirements are as follows:

   • IELTS: Overall score of 6.5 with no band less than 6.5 in writing, 6.0 in reading, 6.0 in listening, and 6.5 in speaking.
   • TOEFL: Minimum score of 90 on the Internet-based Test (iBT).
   • PTE: Minimum score of 63.
   • DET (Duolingo English Test): Minimum score of 120.

It is important to note that meeting the minimum entry requirements does not guarantee admission to the University of Waterloo. The university receives a large number of applications and admission decisions are based on a holistic assessment of various factors, including academic performance, test scores, personal statements, and letters of recommendation.

The University of Waterloo offers several scholarships and financial aid options to support international students in their academic journey. These scholarships recognize academic excellence, leadership potential, and contributions to the community. 

1. International Master's Award of Excellence: This scholarship is available to international students entering a research-based master's program. It provides funding of up to $2,500 per term for a maximum of five terms.

2. Ontario Graduate Scholarship (OGS): The OGS is a merit-based scholarship available to domestic and international students pursuing a graduate degree at the University of Waterloo. The scholarship provides funding of up to $15,000 per year for a maximum of two or three years, depending on the program.

3. President's Scholarship of Distinction: This prestigious scholarship is awarded to top international students entering an undergraduate program at the University of Waterloo. The scholarship covers full tuition for up to four years of study.

4. International Student Entrance Scholarships: These scholarships are available to high-achieving international students applying for undergraduate programs. The value of the scholarships varies and is renewable for up to four years, based on academic performance.

5. Faculty-specific Scholarships: Various faculties at the University of Waterloo offer scholarships specifically for international students. These scholarships are based on academic achievement, leadership potential, and involvement in extracurricular activities within the respective faculty.

6. Donor-funded Scholarships: The university receives generous contributions from donors, which are used to establish scholarships for international students. These scholarships may have specific eligibility criteria and application processes.

It is important to note that the availability, eligibility criteria, and application deadlines for scholarships may vary. To apply for scholarships, international students are typically required to submit an application for admission to the university. Some scholarships may have additional application requirements, such as essays or reference letters. It is important to care.

A Bachelor of Data Science degree from the University of Waterloo equips graduates with the skills and expertise to pursue rewarding careers in various industries. Graduates of the Bachelor of Data Science program at the University of Waterloo are well-positioned for diverse and exciting career opportunities in the rapidly growing field of data science. With their strong analytical, technical, and problem-solving skills, they can make significant contributions to organizations and industries worldwide.

1. Data Analyst: Graduates can work as data analysts, responsible for collecting, cleaning, and analyzing large datasets to extract meaningful insights and inform decision-making processes. They utilize statistical methods, data visualization techniques, and analytical tools to identify trends, patterns, and correlations within data.

2. Data Scientist: With a strong foundation in statistics, programming, and machine learning, graduates can pursue roles as data scientists. They develop predictive models, machine learning algorithms, and data-driven solutions to solve complex problems and optimize business processes in diverse domains such as finance, healthcare, marketing, and technology.

3. Business Intelligence Specialist: Graduates can specialize in business intelligence, helping organizations leverage data to gain competitive insights, improve operational efficiency, and drive strategic decision-making. They design and develop dashboards, reports, and data visualization solutions to communicate key performance indicators and business metrics effectively.

4. Data Engineer: Data engineering roles involve designing, building, and maintaining data infrastructure and systems to support the storage, processing, and analysis of large datasets. Graduates with strong programming skills and knowledge of database management, cloud computing, and big data technologies can excel in data engineering roles.

5. Machine Learning Engineer: Graduates interested in machine learning and artificial intelligence can pursue careers as machine learning engineers. They develop and deploy machine learning models and algorithms for tasks such as image recognition, natural language processing, recommendation systems, and predictive analytics.

6. Quantitative Analyst (Quant): In the finance industry, graduates can work as quantitative analysts or quants, utilizing mathematical and statistical models to analyze financial markets, evaluate risk, and optimize investment strategies. They apply advanced quantitative techniques to develop trading algorithms, pricing models, and risk management tools.

7. Data Visualization Specialist: Graduates with expertise in data visualization can pursue roles as data visualization specialists or designers. They create interactive and informative data visualizations, infographics, and storytelling narratives to communicate complex data insights and trends effectively to stakeholders and decision-makers.

8. Healthcare Informatics Specialist: In the healthcare sector, graduates can work as healthcare informatics specialists, leveraging data analytics and technology to improve patient care, optimize healthcare delivery, and enhance clinical outcomes. They analyze electronic health records, medical imaging data, and patient outcomes data to support evidence-based decision-making in healthcare settings.

9. Research Scientist: Graduates interested in research and development can pursue roles as research scientists or research associates in academic institutions, research laboratories, or industry research organizations. They contribute to cutting-edge research projects, explore new methodologies, and advance the field of data science through innovative research initiatives.

10. Consultant or Analyst: Graduates may also work as consultants or analysts in consulting firms, providing data-driven insights, recommendations, and solutions to clients across various industries. They engage in client-facing roles, conduct data analyses, and deliver strategic consulting services to address business challenges and opportunities.