University of the Pacific United States

Data Science

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 2 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Next Intake TBA

Course Overview

The Master of Science in Data Science at the University of the Pacific is designed for ambitious individuals seeking to master the analytical and computational skills essential for extracting insights from complex datasets. You will delve into critical areas such as machine learning, statistical analysis, and data visualization, preparing you to tackle challenges in fields ranging from technology and finance to healthcare and research. This postgraduate program offers a comprehensive curriculum for those who are passionate about uncovering patterns and driving data-informed decisions in an increasingly data-centric world.

You will pursue this Master of Science degree full-time on campus over two years, engaging with a curriculum that includes foundational courses like Linear Algebra for Data Science and Frequentist Statistics, alongside specialized topics such as Machine Learning for Data Science and Dynamic Visualization. Throughout your studies, you will participate in a Data Science Socratic Lab and have the opportunity to complete a significant Capstone Project, applying your learned methodologies to real-world problems. Upon graduation, you will be well-prepared for advanced roles as data scientists, analysts, and machine learning engineers.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This course provides a comprehensive introduction to the field of Data Science, covering foundational statistical concepts, machine learning techniques, and data management principles. Students will explore various analytical methods, including Bayesian and frequentist statistics, time series analysis, and machine learning algorithms. The curriculum also emphasizes practical skills in data wrangling, visualization, and database management, preparing students for real-world data science applications and projects.

1 Select five (5) of the following:

Bayesian Statistics
Time Series Analysis
Software Methods for Data Science
Data Engineering for Data Science
Advanced Machine Learning
Analytics Storytelling for Data Science
NoSQL Databases
Fraud Detection
Customer Analytics
Healthcare Case Studies
Emphasis Case Studies

2 Modules

Linear Algebra for Data Science
Frequentist Statistics
Analytics Computing for Data Science
Introduction to Machine Learning
Machine Learning for Data Science
Data Wrangling
Introduction to Data Visualization
Dynamic Visualization
Relational Databases
Data Science Socratic Lab Compulsory
Capstone Project
Weekly Hot Topics

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 30,942.00
Second Year Fee Tuition fee
USD 30,942.00
Total Program Cost Estimated total tuition
USD 61,884.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Food & Groceries USD 4,200.00 - USD 6,000.00
Transport USD 1,200.00 - USD 1,800.00
Utilities & Bills USD 1,440.00 - USD 2,400.00
Estimated Total USD 6,840.00 - USD 10,200.00

Living cost estimates are based on Stockton Campus.

Outcomes & Employability

What happens after you graduate

91%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Advertising Finance & OperationsBlockchain & Emerging TechnologiesIT Support & Systems AdministrationMedia Planning & BuyingMedia Research & AnalyticsPublic RelationsSatellite CommunicationsSocial Media & Community ManagementSoftware Development & EngineeringTelecom Software & Systems

Top Employers Hiring for this course

Amazon Web Services

Apple

Cerebras

Google

Meta

Microsoft

Pellera Technologies

Why Study Data Science at University of the Pacific

What makes this program stand out

Very Fast Application response time

University of the Pacific typically responds to applications within 1 - 2 days, giving you clarity on your options quickly.

Life at University of the Pacific in United States

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about Data Science at University of the Pacific

Can I work while studying?

International students are allowed to work up to 20 hours per week during the term and full-time during breaks. On-campus jobs do not require a separate work permit.

What English language score do I need for this course?

To meet the English language requirements, applicants can submit scores from tests like Duolingo, TOEFL, IELTS, or PTE, with specific minimum scores for each. For instance, a Duolingo overall score of 110 is required.

What jobs can I get after studying this course?

Graduates can pursue careers as Data Analysts, Data Scientists, Machine Learning Engineers, Business Intelligence Developers, and Data Engineers.

What will I actually study in this course?

Pacific's MS in Data Science program is designed to equip students with essential skills in data analysis and statistical modeling. It offers a hybrid course delivery model, catering to both working professionals and traditional students.

When can I start — what are the intake months?

The Data Science program has an intake in September each year. Make sure to prepare your application before this date to secure your spot.
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