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University of the Pacific

San Francisco, California, USA

MSc in Data Science

3X your Admission Chances

Computer Science

Specialization

2 years (full time)

Duration

$54,000 overall

Tuition Fee

fall

Intake

Table of Contents

Eligibility Requirements Class Profile Introduction Program Description Program Curriculum Acceptance Rate Scholarships

Eligibility Requirements for The Pacific MSc in Data Science

2.65/4

Bachelor's GPA Requirement

3 years degree

UG Requirement

Test Scores Requirement

Exam	Requirement
	6.5
	80
	50
	105

The Pacific MSc in Data Science Class Profile

2.65

Avg. Bachelors GPA / Percentage

About University of the Pacific

The University of the Pacific is a prominent private university located in California, United States. Established in 1851, it holds the distinction of being the oldest chartered university in the state. The main campus is situated in Stockton, California, with two additional campuses in San Francisco and Sacramento.

Academically, the University of the Pacific offers a wide range of undergraduate, graduate, and professional degree programs. It encompasses nine schools and colleges, including the College of the Pacific, Conservatory of Music, Eberhardt School of Business, McGeorge School of Law, and Thomas J. Long School of Pharmacy and Health Sciences. The university prides itself on its commitment to providing a comprehensive and well-rounded education to its students.

One of the university's standout features is its Conservatory of Music, which enjoys a strong reputation for producing talented musicians and has played a significant role in the region's cultural development.

The University of the Pacific fosters a vibrant campus life, offering various student organizations, clubs, and activities catering to a wide array of interests. This enriches the student experience and encourages engagement beyond academics.

The Pacific MSc in Data Science Program Description

The University of the Pacific MS in Data Science program is an innovative and cutting-edge academic offering designed to equip students with the skills and knowledge required to thrive in the rapidly evolving field of data science.

As part of the renowned University of the Pacific, this program maintains the university's high standards of academic excellence and commitment to fostering well-rounded individuals. The MS in Data Science curriculum encompasses a comprehensive range of subjects, including data analysis, machine learning, data visualization, and data management, ensuring that graduates are well-prepared to tackle complex real-world challenges.

With access to state-of-the-art facilities and expert faculty, students in the University of the Pacific MS in Data Science program can expect to receive a top-notch education that opens doors to exciting career opportunities in various industries where data science expertise is in high demand.

The Pacific MSc in Data Science Program Curriculum

The Data Science Society: The University of the Pacific MS in Data Science program hosts the Data Science Society, a student-led club dedicated to fostering a collaborative and engaging environment for data science enthusiasts
Data Science Chapter: The Tech Innovators Club, with a specialized Data Science Chapter, serves as a platform for students at the University of the Pacific MS in Data Science program to explore the intersection of technology and innovation.
Women in Data Science (WiDS): The University of the Pacific MS in Data Science program proudly hosts WiDS, a dedicated association that promotes gender diversity and inclusion in the data science field. WiDS aims to empower women pursuing careers in data science through mentorship programs, professional development workshops, and networking events.
Analytics for Social Good Club: The Analytics for Social Good Club at the University of the Pacific MS in Data Science program emphasizes the application of data science skills to address pressing societal challenges.
Data Visualization Society: The Data Visualization Society at the University of the Pacific MS in Data Science program focuses on the art of visual storytelling through data.

Clubs And Association

The Data Science Society: The University of the Pacific MS in Data Science program hosts the Data Science Society, a student-led club dedicated to fostering a collaborative and engaging environment for data science enthusiasts
Data Science Chapter: The Tech Innovators Club, with a specialized Data Science Chapter, serves as a platform for students at the University of the Pacific MS in Data Science program to explore the intersection of technology and innovation.
Women in Data Science (WiDS): The University of the Pacific MS in Data Science program proudly hosts WiDS, a dedicated association that promotes gender diversity and inclusion in the data science field. WiDS aims to empower women pursuing careers in data science through mentorship programs, professional development workshops, and networking events.
Analytics for Social Good Club: The Analytics for Social Good Club at the University of the Pacific MS in Data Science program emphasizes the application of data science skills to address pressing societal challenges.
Data Visualization Society: The Data Visualization Society at the University of the Pacific MS in Data Science program focuses on the art of visual storytelling through data.

Extra Activites

At the University of the Pacific MS in Data Science program, students have access to a diverse range of extra-curricular activities that complement their academic pursuits and foster personal growth. Here are some of the extra activities available:

Data Science Hackathons: The University of the Pacific MS in Data Science program hosts exciting data science hackathons, where students collaborate in teams to solve complex data challenges within a limited time frame. These events provide an excellent opportunity for students to apply their data science skills, creativity, and teamwork in a competitive and fun environment.
Data Science Seminars and Workshops: The university organizes data science seminars and workshops featuring guest speakers and industry experts. These events offer valuable insights into the latest trends, best practices, and emerging technologies in data science.
Data Analytics Competitions: The program frequently participates in data analytics competitions at regional and national levels. Students can join teams representing the University of the Pacific MS in Data Science and compete against other institutions, showcasing their analytical prowess and problem-solving abilities.
Data Visualization Showcases: The university organizes data visualization showcases, where students can present their data visualizations and projects to a wider audience.
Industry Internships: The University of the Pacific MS in Data Science program facilitates industry internships, giving students the chance to gain practical experience in real-world data science projects.
Data Science Meetups: The university supports student-led data science meetups, where like-minded individuals gather to discuss and explore data science-related topics. These informal gatherings provide a supportive space for students to exchange ideas, share knowledge, and collaborate on data-driven projects.
Data Ethics and Social Impact Initiatives: The University of the Pacific MS in Data Science program actively promotes data ethics and social impact initiatives. Students can participate in projects that aim to leverage data science for the betterment of society, highlighting the program's commitment to responsible data use.
Data Science Networking Events: The program hosts networking events, allowing students to connect with alumni, faculty, and industry professionals in the data science field.

The Pacific MSc in Data Science Acceptance Rate

The University of the North Pacific's acceptance rate is competitive and may vary from year to year based on the number of applications received and the university's enrollment capacity.

As with any reputable institution, the acceptance rate is influenced by several factors, including the qualifications and academic achievements of the applicant pool. While the university values diversity and seeks to admit students from different backgrounds and experiences, it also maintains high academic standards to ensure that admitted students can thrive in their chosen programs.

Prospective applicants are encouraged to present strong academic records, well-crafted personal statements, and compelling letters of recommendation to enhance their chances of acceptance to the University of the North Pacific.

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Scholarships available for International Students

The average annual cost of study, including tuition fees and living expenses is around USD$35,000 per year. However, this can rise dramatically as your day-to-day living expenses will vary depending on what state or city you live in.Below are some scholarships you can avail to reduce your study abroad expenses drastically.

The Global Study Awards
The Global Study Awards is a competition for successful IELTS test takers who have shown exceptional promise. You can enter the competition if you plan to use your IELTS results to apply for an undergraduate or postgraduate degree in an English-speaking country.
Gary Saitowitz Scholarship
Gary Saitowitz founded the Gary Saitowitz Scholarship with the objective of assisting one deserving student in reducing the stress and also the overall financial burden of costly higher education.
Form Swift Scholarships Program
The scholarship program is for driven, up-and-coming, entrepreneurs who are ready to commit to building a better world through their business ideas.

What makes The Pacific MSc in Data Science unique?

The University of the Pacific's MSc in Data Science program stands out as a unique and exceptional offering for several compelling reasons. Here are some key points that make the University of the Pacific MSc in Data Science program unique:

Holistic Approach: The MSc in Data Science program takes a well-rounded approach to education, not only focusing on technical skills but also emphasizing critical thinking, problem-solving, and ethical considerations in data science. This comprehensive approach prepares students to be versatile and effective professionals in the field.
Distinguished Faculty: The program boasts a distinguished faculty with extensive experience and expertise in data science and related disciplines. These renowned professors and industry practitioners provide top-notch instruction and mentorship to students, ensuring they receive the latest insights and knowledge in the field.
Comprehensive Curriculum: The curriculum covers a wide range of topics in data science, including data analytics, machine learning, data visualization, and data management. Students gain a broad skill set, enabling them to tackle diverse challenges in their future careers.
Practical Learning Opportunities: The University of the Pacific MSc in Data Science program offers practical learning opportunities through hands-on projects and collaboration with industry partners. Students engage in real data analysis projects, allowing them to apply their knowledge to real-world scenarios and gain valuable experience.
State-of-the-Art Facilities: The university provides state-of-the-art facilities and resources, including advanced computing labs and access to extensive datasets. These resources empower students to conduct in-depth research and analysis, preparing them to excel in their data science endeavors.
Supportive Learning Environment: The University of the Pacific fosters a supportive and inclusive learning environment, encouraging teamwork and collaboration among students from diverse backgrounds. This promotes the exchange of ideas and perspectives, enriching the overall learning experience.
Industry Connections: The program maintains strong connections with the data science industry, offering networking opportunities and guest lectures from industry professionals. This exposure allows students to stay updated with the latest trends and advancements in the field and enhances their career prospects.
Commitment to Social Impact: The University of the Pacific MSc in Data Science program emphasizes the application of data science for social good. Through clubs and associations focused on analytics for social good, students have the chance to contribute their skills to meaningful causes and make a positive impact on society.
Flexibility and Customization: The program provides flexibility for students to tailor their studies to align with their individual interests and career goals. This customization allows students to delve deeper into specific areas of data science that align with their passions and strengths.
Alumni Network: Graduates of the program become part of the university's strong alumni network, providing them with ongoing support and potential career opportunities throughout their professional journey.