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University of San Francisco

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California

United States

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Program Rank

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12

The Master of Science in Data Science program at the University of San Francisco is designed to equip students with comprehensive knowledge and skills critical for a successful career in the rapidly evolving field of data science. Over the course of approximately 12-14 months, students will engage in a dynamic curriculum that covers essential areas such as machine learning, artificial intelligence, and data system administration. This program is not just about theoretical understanding; it emphasizes practical application and real-world problem-solving skills through hands-on experience and project-based learning.


Our curriculum integrates a blend of foundational courses in Applied Statistics, Machine Learning, and Data Engineering, allowing students to develop expertise that is highly sought after in today’s job market. The program includes a variety of courses that explore advanced topics in data science, including Database Systems, Data Visualization, and Predictive Analytics. This well-rounded approach ensures that graduates have a robust understanding of both the technical and analytical aspects of the field.


Students are guided by a distinguished faculty with rich academic backgrounds and industry experience in data science, statistics, and computer science. Our professors employ innovative teaching methodologies that incorporate collaborative projects, case studies, and the latest technological tools, fostering an engaging learning environment. Faculty members are not just educators; they are active researchers and professionals, which provides students access to cutting-edge research opportunities and industry insights that enhance the learning experience.


The program also emphasizes the importance of real-world experience. Students can take advantage of strong connections with leading tech companies in the Bay Area, which often leads to internships and job placements. These industry partnerships allow students to apply their knowledge in practical settings, gaining invaluable experience that is crucial for their professional development. Many alumni have secured positions at prestigious organizations, further solidifying the program's reputation for excellence and effectiveness in preparing students for successful careers.


Moreover, the University of San Francisco is committed to supporting students throughout their educational journey. With a dedicated career services team, students receive personalized guidance on resume building, interview preparation, and networking strategies, ensuring they are well-prepared to enter the competitive job market. Alumni of the program have gone on to achieve impressive career milestones, securing roles such as Data Scientist, Data Engineer, and Business Analyst in top-tier companies, highlighting the program’s effectiveness in promoting career success.


Why Study Master of Science in Data Science at University of San Francisco
  • Comprehensive Curriculum: Offers a well-rounded education that covers essential topics such as machine learning, data visualization, and predictive analytics.
  • Renowned Faculty: Learn from experienced faculty who are leaders in the field, providing real-world insights and mentorship.
  • Industry Connections: Benefit from strong ties with leading tech companies in the Bay Area, facilitating valuable internship and employment opportunities.
  • Career Support: Access dedicated career services that assist with job placement, resume building, and networking, enhancing career prospects.
  • Alumni Success: Join a growing network of successful alumni who have secured prominent roles in tech, finance, healthcare, and more.
  • Location: Take advantage of the university's location in one of the world’s leading tech hubs, providing unparalleled access to industry innovations and career opportunities.

Furthermore, the program is structured to accommodate diverse learning needs. Whether students are fresh graduates or mid-career professionals looking to transition into data science, the flexible schedule and comprehensive resources cater to all. Admission to the Master of Science in Data Science requires a minimum GPA of 2.75 from an accredited institution. Applicants must also submit standardized test scores (if applicable), a statement of purpose, letters of recommendation, and a resume detailing relevant experience.


As a prospective student, you will engage in a variety of projects that allow you to apply your learning practically. Projects might include working with real datasets to solve complex problems, developing predictive models, or implementing data-driven solutions for local businesses. This hands-on experience not only enhances your learning but also makes you a competitive candidate in the job market.


In conclusion, the Master of Science in Data Science at University of San Francisco is a premier program that stands out due to its rigorous curriculum, expert faculty, and strong industry connections. Graduates leave well-prepared to tackle the complex challenges of the data-driven world and enjoy robust job prospects in various sectors. By choosing this program, you are investing in your future, gaining the skills and knowledge needed to excel in one of the fastest-growing fields today.


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Total Tuition Fees

$55,000

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Duration

12 Months

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Median Salary

$1,10,000

Ranking

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#105

US World and News Report

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Intake

Summer ( July - Sept )

Class Profile

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Class Size

30

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Average Age

26

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Average Work Experience

2 Years

Diversity

Florida:

5%

Others:

26%

New York:

12%

Illinois:

6%

Texas:

8%

California:

43%

Career Outcomes

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Median Earnings After Graduation

$1,10,000 / year

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Graduation Rate

72%

Prospective Job Roles

Statistician

Research Scientist

Software Engineer

Data Engineer

Data Analyst

Quantitative Analyst

Data Scientist

Business Analyst

Data Architect

Machine Learning Engineer

Policy Analyst

Marketing Data Analyst

Math Data Analyst

Top recruiters

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Eligibility Criteria

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At least 2.75 / 4 undergraduate GPA is expected.

English Proficiency Tests

  • PTE

    61

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  • TOEFL

    90

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  • IELTS

    6.5

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  • DUOLINGO

    115

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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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Application Fee: 55

  • intake

    Transcript

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    Passport

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    Statement of Purpose

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    Resume

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    IELTS

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    Class 12 Marksheets

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    Academic LOR

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    Professional LOR

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    Class 10 Marksheets

Application Deadlines

Priority 1
SummerDec 5, 2024

Fees and Funding

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Tuition Fees

$55,000 / year

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Overall Cost

$70,000 / 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 San Francisco offers a variety of scholarships for students pursuing a master's degree in data science. These scholarships are based on merit, financial need, and other factors. Some of the scholarships that are available include the Dean's Scholarship, the Presidential Scholarship, and the Graduate Assistantship. The Dean's Scholarship is awarded to students with a high GPA and a strong academic record. The Presidential Scholarship is awarded to students who demonstrate leadership and community service. The Graduate Assistantship is awarded to students who work as research assistants or teaching assistants.

FAQs

  • A student can complete Data Science at University of San Francisco with in 12.

  • The deadline to submit an admission application for Data Science at University of San Francisco is Application deadline Summer (Priority 1) - date - 05/12/2023

  • The annual tuition fee to pursue Data Science at University of San Francisco is USD 54425.

  • The submission of these scores mainly depends on the type of degree/ course selected at the University of San Francisco. 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 San Francisco 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 University of San Francisco, 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 University of San Francisco 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 San Francisco website to check the course/ degree duration.

  • One can apply for scholarships to pursue their international education at University of San Francisco 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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