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University of the Pacific, San Francisco

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California

United States

The Master of Science in Data Science at University of the Pacific, San Francisco is meticulously designed to equip students with a robust set of skills and knowledge necessary to thrive in the rapidly evolving field of data science. This program encompasses an extensive curriculum that delves into the intricacies of data analysis, machine learning, artificial intelligence, and business intelligence. Over the duration of 24 months, students engage in a blend of theoretical learning and practical application, ensuring they are well-prepared for the diverse challenges posed by real-world data environments.

Students in this program will explore a comprehensive array of subjects, including Applied Statistics, Database Systems, and Practical Machine Learning. This multifaceted curriculum is aimed at developing analytical skills and enhancing students’ capability to leverage data for informed decision-making. As technology advances, the demand for proficient data scientists continues to rise, and this program positions graduates to meet those demands head-on. With a focus on both foundational concepts and advanced techniques, students will gain a holistic understanding of the data landscape.

In addition to its strong academic focus, the MS in Data Science program emphasizes collaboration and innovation. Faculty members bring a wealth of industry experience and academic expertise, fostering an environment that encourages exploration and experimentation. The teaching methodology incorporates hands-on projects, case studies, and group work, allowing students to apply their knowledge in practical settings. This approach not only enhances learning but also cultivates essential teamwork and communication skills that are vital in today’s data-driven workplaces.

Research opportunities abound for students enrolled in this program, facilitated by the university's state-of-the-art resources and partnerships with industry leaders. The School of Engineering and Computer Science promotes an interdisciplinary approach, encouraging students to engage in groundbreaking projects that address pressing challenges within various sectors. Through access to advanced tools and technologies, students can conduct meaningful research that contributes to the broader academic and professional communities.

With a curriculum designed to meet industry needs, the MS in Data Science opens doors to a variety of career pathways. Graduates are well-equipped for roles such as Data Scientist, Data Analyst, Machine Learning Engineer, and Business Analyst, among others. The strong emphasis on practical experience ensures that students leave the program ready to tackle complex issues across sectors including finance, healthcare, telecommunications, and more. Alumni from this program have found success in various prestigious companies, contributing significantly to their fields and shaping the future of technology and data science.

Why Study Master of Science in Data Science at University of the Pacific, San Francisco
  • Comprehensive Curriculum: Develop expertise across a broad spectrum of data science topics, ensuring a well-rounded education.
  • Expert Faculty: Learn from experienced professionals and academics who bring real-world insights into the classroom.
  • Research Opportunities: Engage in innovative research projects that can lead to significant contributions in the field of data science.
  • Industry Connections: Benefit from established relationships with leading organizations that can provide internship and job opportunities.
  • Diverse Career Pathways: Prepare for a wide array of job roles in various industries, ensuring flexibility in career choices.
  • Alumni Success: Join a network of successful graduates who have made significant impacts in their respective fields.

The program not only cultivates technical skills but also encourages students to adopt a strategic approach to data-driven decision-making. Each course is designed to challenge students and promote critical thinking, ensuring that graduates are not just capable of handling existing technologies but are also innovative thinkers who can lead advancements in the field.

In terms of prerequisites, prospective students are typically required to provide a completed application, which includes a transcript, a resume, and an academic letter of recommendation. Additionally, proficiency in English must be demonstrated through standardized tests such as the TOEFL, IELTS, or Duolingo, ensuring that all students can effectively engage with the course material and participate in collaborative projects.

The Master of Science in Data Science program at University of the Pacific, San Francisco stands out due to its strong industry alignment and commitment to student success. Graduates have reported average starting salaries of around $105,000, reflecting the high demand for skilled data professionals. Furthermore, the program duration of 24 months allows students to balance their education with work or other commitments, making it accessible for a broad range of students.

In conclusion, the MS in Data Science at University of the Pacific, San Francisco is more than just a degree; it is a pathway to a rewarding and impactful career in data science. With a rich curriculum, expert faculty, and strong industry connections, this program prepares graduates to excel in a field that is continuously growing and evolving. Whether you are looking to dive deeper into analytics, machine learning, or data management, this program offers the tools and knowledge necessary to succeed.

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Duration

24 Months

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Median Salary

$1,05,000

Class Profile

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Class Size

25

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Average Age

28

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Average Work Experience

3 Years

Diversity

Others:

32%

International:

27%

California:

41%

Career Outcomes

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Median Earnings After Graduation

$1,05,000 / year

Prospective Job Roles

Statistician

Product Manager

Research Scientist

Software Engineer

Data Engineer

Teacher

Machine Learning Engineer

Data Analyst

Financial Analyst

Quantitative Analyst

Risk Analyst

Data Scientist

Business Analyst

Data Architect

Researcher

Actuary

Consultant

Operations Research Analyst

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • TOEFL

    80

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  • IELTS

    6.5

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  • DUOLINGO

    110

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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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    Resume

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    Academic LOR

Application Deadlines

Fees and Funding

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Tuition Fees

$25,920 / 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 Pacific, 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 available include the University of Pacific Presidential Scholarship, the University of Pacific Dean's Scholarship, and the University of Pacific Alumni Scholarship.
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    University of Pacific Presidential Scholarship

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    University of Pacific Dean's Scholarship

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    University of Pacific Alumni Scholarship

FAQs

  • The annual tuition fee to pursue Data Science at University of the Pacific, San Francisco is USD 25920.

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

  • One can apply for scholarships to pursue their international education at University of the Pacific, 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.

  • A student can complete Data Science at University of the Pacific, San Francisco with in 24.

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