Fast track your way to 2021's #2 job in America.

Pacific's MS in Data Science program equips students for the exciting field of data science. This STEM-designated program uses a hybrid approach to learning, in which courses are offered both online and in-person on our San Francisco campus during evenings and weekends. The 32-unit program can be completed in 4 semesters over 2 academic years.

Unique hybrid delivery for working professionals

In the heart of downtown San Francisco

Real-world capstone projects completed in the field

Request more information

By completing this form, you are consenting to receiving communication from Pacific.



Data Science students in class
Where technology meets innovation
A State-of-the-Art Education

Data Science students will learn advanced analytics techniques, and will gain practical experience in data wrangling, machine learning, dynamic visualization, and more. Our faculty are experts in their field and maintain close working relationships with students in the small class sizes that are the hallmark of a Pacific education.

A top technology field
Growing demand

According to the U.S. Bureau of Labor Statistics, demand for Data Science related roles is projected to grow by 22% from 2020 to 2030, much faster than the average for all occupations. The average base pay for a Data Scientist as reported by is $117,212 per year.

Data Science student

The admission process involves a holistic review of each applicant’s background and experiences. The following are required for admission:

  • Bachelor’s degree in any field (2.65 GPA or higher)
  • Official transcripts* 
  • Resume
  • Personal statement
  • Two letters of recommendation
  • Academic or industry experience in: 
    • Linear algebra
    • Statistics
    • High-level programming

*Official transcripts for all course work taken after high school are required to complete your application. Official transcripts should be sent directly to GradCAS, detailed instructions including address can be found under the Sending Official Transcripts to GradCAS menu.

Data Science courses include:

ANLT 201. Linear Algebra for Data Science
ANLT 202. Frequentist Statistics
ANLT 203. Bayesian Statistics
ANLT 205. Consumer Analytics
ANLT 206. Sentiment Analysis and Opinion Mining
ANLT 207. Time Series Analysis
ANLT 208. Research Methods for Data Science
ANLT 210. Software Methods for Data Science
ANLT 212. Analytics Computing for Data Science
ANLT 214. Data Engineering for Data Science
ANLT 216. Legal Analytics for Data Science
ANLT 222. Machine Learning for Data Science
ANLT 223. Advanced Machine Learning
ANLT 224. Data Wrangling
ANLT 232. Introduction to Data Visualization
ANLT 233. Dynamic Visualization
ANLT 234. Analytics Storytelling for Data Science
ANLT 242. Relational Databases
ANLT 243. NoSQL Databases
ANLT 272. Healthcare Case Studies
ANLT 273. Fraud Detection
ANLT 274. Customer Analytics
ANLT 275. Text Mining
ANLT 276. Emphasis Case Studies
ANLT 282. Capstone Project
ANLT 283. Weekly Hot Topics

San Francisco Campus
San Franciso Campus
About University of the Pacific

University of the Pacific's San Francisco Campus is a state-of-the-art home of learning, teaching, patient care and research. The campus features flexible learning environments, cutting-edge health clinics, research labs and communal spaces. Conveniently located in the South of Market district, the campus is close to all major public transportation options, including BART, Muni and CalTrain. Built to LEED Gold standards, the campus supports overall environmental health.