B.S. in Data Science

Stockton, California

 

INTAKE: Jan, May & Aug

Program Overview

The Bachelor of Science (B.S.) in Data Science at the University of the Pacific is a forward-thinking program designed to equip students with the skills necessary to analyze, interpret, and utilize large data sets. This program integrates mathematics, statistics, and computer science to prepare graduates for a range of roles in data analysis, data engineering, and data-driven decision-making. Students gain hands-on experience through real-world projects and cutting-edge tools, preparing them for a dynamic career in data science.

STEM-Designated: The B.S. in Data Science at the University of the Pacific is STEM-designated, signifying that it emphasizes a curriculum focused on science, technology, engineering, and mathematics. This designation underscores the program’s commitment to providing a rigorous education in technical and analytical skills, which are crucial for solving complex data problems and supporting innovation in various fields.

Curriculum: The curriculum of the B.S. in Data Science combines core courses in mathematics, statistics, and computer science with specialized data science courses. Key subjects include data mining, machine learning, data visualization, and database management. Students also engage in capstone projects that allow them to apply their learning to real-world data challenges. The program emphasizes both theoretical knowledge and practical application, ensuring graduates are well-prepared for professional roles in the industry.

Research Focus: The University of the Pacific encourages research and innovation in data science. Students have opportunities to engage in research projects that explore various aspects of data science, including predictive modeling, data analytics, and algorithm development. The program supports student involvement in research through collaborations with faculty, industry partners, and research centers, providing a platform for students to contribute to cutting-edge developments in the field.

Industry Engagement: Industry engagement is a cornerstone of the B.S. in Data Science program. The University of the Pacific maintains strong connections with industry leaders and companies, offering students opportunities for internships, co-op programs, and networking events. These industry partnerships enable students to gain practical experience, build professional relationships, and enhance their career prospects by working on real-world data science projects.

Global Perspective: The B.S. in Data Science program at the University of the Pacific incorporates a global perspective by addressing data science challenges and solutions that have international relevance. Students are exposed to global data trends and practices through coursework, case studies, and collaborations with international organizations. This global outlook prepares students to work in diverse and globalized environments, understanding how data science can address issues on a worldwide scale.

Pollster Education

Location

Stockton, California

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

USD 54506

Undergraduate Entry Requirements

Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 70% or above in their previous academic qualifications.

English Language Proficiency:

  • IELTS: Overall band score of 6.5 with a minimum of 6.0 in each component.
  • TOEFL: Overall score of 80 or higher.
  • PTE: Overall score of 54 or higher.
  • DET (Duolingo English Test): Minimum score of 110.

The University of the Pacific offers several scholarships and financial aid options to support international students in pursuing their higher education. These scholarships are typically awarded based on academic merit, leadership qualities, and, in some cases, financial need. 

International Student Merit Scholarships: The university provides merit-based scholarships for international students. These scholarships are awarded to students who have demonstrated outstanding academic achievements, leadership skills, and a strong commitment to community service.

Presidential Scholarship: The Presidential Scholarship is one of the most prestigious awards available to international students. It is awarded to students who have exceptional academic records, high standardized test scores, and strong leadership qualities.

Provost's Scholarship: The Provost's Scholarship is another merit-based scholarship that recognizes outstanding academic achievements. It is awarded to international students with impressive academic credentials.

Dean's Scholarship: Dean's Scholarships are typically awarded to international students who have shown strong academic performance. The exact criteria and award amounts may vary.

International Student Scholarships for Academic Excellence: These scholarships are available to international students who have demonstrated excellence in their academic endeavors.

Athletic Scholarships: International students who excel in sports and wish to participate in collegiate athletics may be eligible for athletic scholarships. These awards are often based on athletic talent and performance.

Talent Scholarships: Some scholarships may be available for students with exceptional talents in areas such as music, art, or theater.

Diversity Scholarships: These scholarships aim to promote diversity and inclusion on campus. They may be awarded to international students from underrepresented backgrounds or who have shown a commitment to diversity-related activities.

Need-Based Financial Aid: While many scholarships at the University of the Pacific are merit-based, there may be some need-based financial aid options available for international students who demonstrate financial need.

External Scholarships: In addition to university-specific scholarships, international students are encouraged to explore external scholarship opportunities offered by government agencies, foundations, and other organizations. The university's financial aid office may provide guidance on finding external scholarships.

Graduates of the B.S. in Data Science program at the University of the Pacific are well-prepared to enter a variety of career paths within the data science and analytics sectors. This program provides a robust foundation in data analysis, machine learning, and statistical techniques, which opens doors to numerous career opportunities.

Data Scientist: As a data scientist, graduates analyze and interpret complex data sets to inform business decisions and strategies. They utilize statistical methods, machine learning algorithms, and data visualization techniques to uncover insights and drive data-driven decisions. This role often involves working with large datasets and requires a strong understanding of programming and statistical analysis.

Data Analyst: Data analysts focus on gathering, processing, and performing statistical analyses on data to help organizations understand their performance and make informed decisions. They create reports, dashboards, and visualizations to communicate findings effectively to stakeholders. This role emphasizes data cleaning, statistical analysis, and data interpretation.

Data Engineer: Data engineers design, build, and maintain the infrastructure and systems that support data collection, storage, and processing. They work with large-scale data systems, ensuring data pipelines are efficient and reliable. This role involves working with databases, data warehousing solutions, and ETL (Extract, Transform, Load) processes.

Machine Learning Engineer: Machine learning engineers develop and implement algorithms that enable computers to learn from and make predictions based on data. They work on creating models that can recognize patterns, automate processes, and improve performance over time. This role requires expertise in machine learning techniques, programming, and algorithm development.

Business Intelligence (BI) Analyst: BI analysts focus on leveraging data to provide actionable insights that drive business strategies and decisions. They use data visualization tools, reporting software, and analytical methods to interpret data and present findings to business leaders. This role involves understanding business needs and translating them into data-driven solutions.

Quantitative Analyst: Quantitative analysts apply mathematical and statistical models to financial and risk management problems. They work in finance, investment, and trading sectors, using data analysis to forecast trends, assess risk, and support financial decision-making. This role requires strong skills in mathematics, statistics, and programming.

Data Consultant: Data consultants provide expert advice to organizations on how to leverage data effectively. They may work on projects related to data strategy, data management, and analytics solutions. This role involves assessing clients' data needs, designing solutions, and helping implement data-driven strategies.

Research Scientist: In research roles, data science graduates may work in academic or industrial research settings, applying data science techniques to explore new areas of study, test hypotheses, and develop innovative solutions. This role often involves conducting experiments, analyzing results, and publishing findings.

Data Science Educator: For those interested in academia, a career as a data science educator involves teaching data science concepts and methodologies at educational institutions. This role includes developing curriculum, conducting lectures, and mentoring students in the field of data science.

Healthcare Data Analyst: Healthcare data analysts work within the medical and healthcare industries, focusing on analyzing health-related data to improve patient care, operational efficiency, and healthcare outcomes. This role requires knowledge of healthcare systems and the ability to interpret medical data effectively.

Marketing Analyst: Marketing analysts use data to evaluate marketing campaigns, consumer behavior, and market trends. They analyze data to provide insights that help shape marketing strategies and measure campaign effectiveness. This role combines data analysis with a strong understanding of marketing principles.

Conclusion: The B.S. in Data Science program at the University of the Pacific equips graduates with a comprehensive skill set that opens up a wide range of career opportunities across various industries. Whether pursuing roles in technology, finance, healthcare, or consulting, graduates are prepared to tackle complex data challenges and contribute valuable insights to their chosen fields.


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