Overview
Why Data Science at University of the Pacific?The University of the Pacific is renowned for its strong academic reputation and commitment to student success. The Data Science programme is designed to meet the growing demand for skilled professionals in this field. With a focus on practical learning and industry partnerships, students benefit from access to state-of-the-art facilities and resources. The faculty comprises experienced scholars and industry experts from leading companies, ensuring that students receive a rich educational experience.
Tuition Fee BreakdownThe tuition fees for the Data Science programme are as follows:
- International Fee: USD 1,719 per credit
- National Fee: USD 1,719 per credit
- Local Fee: USD 1,719 per credit
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum is structured to provide students with a robust understanding of data science principles and practices. Key components include:
- Data Analysis and Visualisation
- Machine Learning Techniques
- Statistical Methods for Data Science
- Big Data Technologies
- Data Ethics and Privacy
- Capstone Project with Industry Partners
This comprehensive syllabus is designed to equip students with both theoretical knowledge and practical skills.
Industry DemandThe demand for data science professionals continues to surge across various sectors, including technology, finance, healthcare, and more. Graduates of the programme are well-prepared to meet this demand, with skills that are applicable in a wide range of industries.
Guaranteed Work ExperienceThe programme includes industry-sponsored capstone projects, providing students with guaranteed real-world experience. This hands-on approach allows students to apply their learning in practical settings, enhancing their employability upon graduation.
Careers with Data ScienceGraduates of the Master of Science in Data Science are well-equipped for diverse career paths. Alumni have successfully secured positions in leading technology firms, financial institutions, and healthcare organisations. Potential job roles include Data Scientist, Data Analyst, Machine Learning Engineer, and Business Intelligence Analyst, among others. The programme prepares students to thrive in various sectors, ensuring they are competitive in the job market.
Programme Structure
Courses included:
- Linear Algebra for Data Science
- Frequentist Statistics
- Research Methods for Data Science
- Analytics Computing for Data Science
- Machine Learning for Data Science
- Data Wrangling
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
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Language
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Credits
Delivered
Campus Location
- Stockton, United States
Disciplines
Data Science & Big Data View 470 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
English requirements
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- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Bachelor's degree in any field
- Official transcripts for all college-level coursework
- Two letters of recommendation
- Resume
- Statement of interest
- Must have coursework or experience in:
- Linear algebra
- Statistics
- Programming in a high-level language (experience in R and Python preferred)
- While applicants must have a minimum GPA of 2.65 to be considered for admission, competitive candidates should have a GPA of 3.0 or higher
Tuition Fees
-
International Applies to you
Applies to youNon-residents27504 USD / year≈ 27504 USD / year - Out-of-State27504 USD / year≈ 27504 USD / year
-
Domestic
Applies to youIn-State27504 USD / year≈ 27504 USD / year
Living costs
Stockton
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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