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QS Rank:

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46

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The University of British Columbia, Vancouver

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British Columbia

Canada

The Master's in Data Science program at The University of British Columbia, Vancouver represents a pivotal opportunity for students eager to enter the fast-evolving field of data science. This comprehensive curriculum is designed to equip learners with the essential skills and knowledge needed to analyze, interpret, and leverage data in a wide array of industries. Spanning over a duration of 10 months, this program is meticulously crafted to cover key areas such as machine learning, applied statistics, data management, and data visualization, ensuring that graduates emerge as competent data professionals. With a cutting-edge focus on both theory and practical applications, students will engage in rigorous coursework that bridges the gap between theoretical knowledge and real-world application.

The program's curriculum is thoughtfully structured to include core courses like Applied Statistics, Database Systems, and Practical Machine Learning. Students will also have the opportunity to delve deeper into specialized topics through electives, customizing their educational experience to align with their career aspirations. Courses such as Data Structures, Artificial Intelligence, and Software Engineering foster a rounded understanding of the data landscape. By incorporating hands-on projects and collaborative assignments, the program emphasizes experiential learning, enabling students to build a robust portfolio that showcases their skills and creativity in tackling complex data challenges.

The faculty at The University of British Columbia, Vancouver brings a wealth of expertise to the program, comprised of seasoned professionals and academics who are pioneers in the field of data science. Their teaching methodology is characterized by an interactive approach that encourages critical thinking and innovation. Through a blend of lectures, workshops, and real-world case studies, students benefit from a learning environment that fosters intellectual curiosity and collaborative learning. Faculty members are also committed to mentoring students, guiding them through their academic and career pursuits, and providing insights into emerging trends within the industry.

Research opportunities are abundant within the program, allowing students to engage in cutting-edge projects that contribute to advancements in data science. The university's research facilities are equipped with state-of-the-art technology, providing students with access to vast datasets and powerful computational resources. Collaborative projects with industry partners further enhance the hands-on learning experience, giving students a competitive edge as they prepare to enter the workforce. These collaborations often lead to internship placements, where students can apply their knowledge in real-world scenarios, gain valuable experience, and expand their professional networks.

The career pathways following completion of the Master's in Data Science are diverse and promising. Graduates can expect to find lucrative opportunities in various sectors, including technology, finance, healthcare, and academia. Roles such as Data Scientist, Data Engineer, Machine Learning Engineer, and Business Analyst are just a few of the potential positions available. The average base salary for graduates stands impressively at $100,000, reflecting the high demand for skilled data professionals. Alumni from the program have gone on to achieve remarkable success, often securing positions at leading organizations and contributing to innovative projects that shape the future of technology.

Why Study Master's in Data Science at The University of British Columbia
  • Renowned Faculty: Learn from world-class instructors who are experts in data science and provide valuable insights.
  • Comprehensive Curriculum: Engage in a well-rounded program that covers essential data science methodologies and practical skills.
  • Research Opportunities: Participate in cutting-edge research projects and collaborate with industry partners.
  • Career Support: Benefit from strong industry connections and internship opportunities that enhance employability.
  • Diverse Career Pathways: Access a wide range of job roles in various sectors, each offering competitive salaries.
  • Global Alumni Network: Join a robust community of successful alumni who are making significant contributions in the field of data science.

Admission to the Master's in Data Science program requires meeting specific eligibility criteria. While no GRE scores are necessary, applicants must demonstrate proficiency in English by submitting standardized test scores such as the TOEFL or IELTS. A minimum TOEFL score of 100 or an IELTS score of 7.0 is required for non-native speakers. Additionally, prospective students must submit a transcript, an academic letter of recommendation, and a detailed resume, showcasing their academic history and relevant experience. The program aims to attract a diverse cohort of students, emphasizing the importance of varied perspectives in the data science landscape.

As a rapidly growing field, data science offers countless opportunities for exploration and career advancement. With its emphasis on innovation and practical application, the Master's in Data Science program at The University of British Columbia, Vancouver is poised to prepare the next generation of data leaders. Whether your interest lies in machine learning, big data analytics, or artificial intelligence, this program will equip you with the necessary skills to thrive in an increasingly data-driven world. By choosing UBC, you are taking a significant step toward a rewarding and impactful career.

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Duration

10 Months

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Median Salary

$1,00,000

Ranking

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#46

QS World University Rankings

Class Profile

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Class Size

50

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Average Age

28

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Average Work Experience

3 Years

Diversity

Others:

6%

Ontario:

10%

Others:

20%

British Columbia:

45%

Alberta:

12%

Quebec:

7%

Career Outcomes

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Median Earnings After Graduation

$1,00,000 / year

Prospective Job Roles

Statistician

Research Scientist

Data Visualization Specialist

Software Engineer

Data Engineer

Data Analyst

Quantitative Analyst

Data Scientist

Business Analyst

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

$49,644 / 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 British Columbia offers a variety of scholarships for students pursuing a Master of Science in Data Science. These scholarships are based on academic merit, financial need, and other criteria. The university also offers a number of graduate assistantships and research positions that can help students cover the cost of their education.
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    Google Ph.D. Fellowship in Artificial Intelligence

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    Microsoft Research Ph.D. Fellowship

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    Amazon Research Ph.D. Fellowship

FAQs

  • A student can complete Data Science at The University of British Columbia, Vancouver with in 10.

  • The application fee to pursue Data Science at The University of British Columbia, Vancouver is CAD 168 for international students.

  • The annual tuition fee to pursue Data Science at The University of British Columbia, Vancouver is CAD 49644.

  • The submission of these scores mainly depends on the type of degree/ course selected at the The University of British Columbia, Vancouver. 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 The University of British Columbia, Vancouver requirements before submitting a score.

  • 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 The University of British Columbia, Vancouver, they can easily pursue 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 The University of British Columbia, Vancouver can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official The University of British Columbia, Vancouver website to check the course/ degree duration.

  • One can apply for scholarships to pursue their international education at The University of British Columbia, Vancouver 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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