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Master’s in Data Science in California - A 2025 Guide

Key Takeaways

  • California offers one of the largest selections of master’s in data science programs in the U.S., ranging from elite universities to affordable CSUs.

  • Students can choose from full-time, part-time, on-campus, or online formats based on their career and lifestyle needs.

  • Popular programs include UC Berkeley MIDS, USC’s MS in Applied Data Science, and Stanford’s Statistics: Data Science track.

  • Admission requirements vary but often include a 3.0 GPA, quantitative coursework, and strong letters of recommendation.

  • Career prospects for graduates are strong, especially in the Bay Area, Los Angeles, and San Diego, with average salaries ranging from $115K–$145K+.

Home to top employers in tech including Apple, Facebook, Cisco, Intuit, and many more, California has long been considered a leader in the field of data science and artificial intelligence, making it the perfect place to attend a data science program. These profitable technology leaders contribute almost 20% of the state’s economy — directly generating $623.4 billion, with a total economic impact approaching $1 trillion. California’s tech ecosystem employs 1.5 million people, a robust and thriving workforce that drives innovation with ripple effects felt all over the world.1  

This density of tech employment and high demand for skilled workers means that California data science professionals are typically able to earn higher salaries than their equivalents elsewhere in the nation and world. 

Data science programs in California often support their grads as they enter into this dynamic and profitable world. With high job density and a need for skilled employers, California offers data science students a chance to enter a thriving workforce. In this article, we’ll take a look at both the in-person and online options for studying data science in California, including school listings, admission tips, salary expectations, and more.

What to Expect from a Data Science Master’s Program

Master’s in data science curricula vary across schools, depending on whether you’re opting for a particular concentration like data management or studying to work as a machine learning engineer, or taking a big-picture approach to data science. 

In general, you’ll begin by focusing on core coursework, including machine learning, programming languages like Python, statistics, and big data tools. Some programs just cover the basics, while others include more focused tracks via elective choices in which you can study topics like data analytics or applied data science in greater depth. 

The way your program is structured will depend on whether you have a particular area of concentration and whether your program is entirely online or taught through a hybrid model of in-person and online classes. It also depends on whether you study full time or part time. 

Typically, data science master’s programs can be completed in 12-24 months. Some programs allow you to opt for an accelerated format, while others are slower and more in-depth. Your duration time also depends on whether you choose a thesis or non-thesis option. With the thesis option, you’ll work with professors to develop a capstone project that can be shown to potential future employers. Non-thesis programs will generally consist of coursework, requiring you to complete any portfolio projects on your own time.

Why Study Data Science in California?

With an overall positive job outlook for those in the technology sector, California is an excellent place to study data science. The synergy between academia and industry partnerships means that the state’s tech employers are invested in hiring local grads, which enables them to draw on a network of alumni resources and career support as they launch their career.

Long considered the epicenter of America’s technology and innovation economy, the state is home to 1.8 million tech or innovation-related jobs, including the world of data mining and big data management.2 Data science jobs in California may include roles working for tech giants like NVIDIA, Apple, Meta, and Alphabet, or one of the state’s many thriving startups in hubs like San Francisco, Los Angeles, and San Diego.

The average salary for a data scientist in California is $153,611 per year.3  The data scientist salary California offers reflects the state’s high cost of living, which averages $64,835 per year.4 However, this high cost is paired with an uncommonly high quality of life.

In-Person Master’s in Data Science Programs in California

Stanford University–MS in Statistics: Data Science

This elite, research-driven MS blends a 45-unit curriculum in probability, machine learning, and computational statistics. Tailored for those aiming at academic or high-tech research careers, the program offers intense theoretical and practical training under Stanford faculty mentorship. Students typically complete the degree in five to six academic quarters, with the option to accelerate into four or condense it into three quarters, plus summer classes.

Program Highlights

  • Time to complete: ~5–6 quarters (1.25–1.5 years), with accelerated options available

  • Tuition & fees: ~$50,000 (45 units at ~ $1,100/unit, plus living expenses)—tuition-only est.

  • Format: Fully on-campus, daytime graduate instruction

  • Full‑time/Part‑time: Full-time; no part-time option

  • Ranking: #1 graduate statistics program5

University of Southern California–MS in Applied Data Science

Offered by USC Viterbi, this applied MS bridges data engineering, scalable machine learning (ML), and analytics through a 32‑unit professional curriculum. Designed to launch careers in enterprise and tech, it features experiential learning and practicum engagements. Most students complete the program in 1.5–2 years.

Program Highlights

  • Time to complete: 1.5–2 years (full-time); part-time pacing available

  • Tuition & fees: ~$70,368 total (32 units at ~$2,199/unit) plus ~$1,500/year in supplies

  • Format: Fully on-campus professional program

  • Full‑time/Part‑time: Both are available; cohort structure supports flexible pacing

  • Ranking: USC Viterbi is the #20 best engineering school, as ranked by US News & World Report6

University of California, San Diego–MS in Data Science

Part of UCSD’s Halıcıoğlu Data Science Institute and Jacobs Engineering School, this 48-unit interdisciplinary MS integrates computer science, math, and practical domain applications through core coursework and electives. Typically completed in 12–24 months, it prepares graduates for both industry and research roles.

Program Highlights

  • Time to complete: 12–24 months (2–4 quarters intensive, or extended pacing

  • Tuition & fees: ~$36,477/year + ~$21,780 per academic year; total COA ~ $53K/year 

  • Format: Fully on-campus, with interdisciplinary labs and collaboration

  • Full‑time/Part‑time: Full-time professional program; part-time options via pacing

  • Ranking: UCSD Engineering & Data Science is ranked #10 on US News & World Report’s Best Engineering Schools list7

University of California, Irvine–Master of Data Science (MDS)

UCI’s MDS program at the Donald Bren School offers a 52‑unit curriculum covering data systems, machine learning, computing, and statistical inference. Designed for both industry and academic careers, it’s available full‑time (15 months) or part‑time (up to ~2 years), with hands‑on learning and electives shaped by domain context. 

Program Highlights

  • Time to complete: 15 months (full‑time) or ~24 months (part‑time)

  • Tuition & fees: Around $45,920/year (CA resident rate)

  • Format: Fully on‑campus, daytime classes

  • Full‑time/Part‑time: Both tracks are available—part‑time for domestic students only

University of California, Santa Barbara–MA in Statistics (Data Science Track)

UCSB’s MA program combines advanced statistical theory with a data science track—incorporating machine learning, visualization, and computing over 42 units. It’s research‑oriented and typically completed in two years.

Program Highlights

  • Time to complete: ~2 years (up to 4 years max per grad policy)

  • Tuition & fees: Graduate fees apply (standard UCSB grad rates); Data Science emphasis added to existing MA

  • Format: Fully on‑campus, daytime

  • Full‑time/Part‑time: Primarily full‑time; part‑time status possible

San Jose State University–MS in Data Analytics (Applied Data Intelligence)

SJSU’s 30‑unit MSADI (formerly Data Analytics) leverages Silicon Valley industry partnerships for practical data analytics, engineering, and emerging AI integration over two years.

Program Highlights

  • Time to complete: ~2 years (6 semesters)

  • Tuition & fees: ~$16,560/year; full program tuition ~ $30,880 total for CA residents (incl. non-resident fees)

  • Format: Fully on‑campus, evening and daytime classes

  • Full‑time/Part‑time: Flexible pacing; professional focus

Santa Clara University–MS in Business Analytics

Santa Clara’s MSBA equips professionals with advanced analytics, machine learning, and business decision‑making tools over ~30–36 units. The on‑campus format emphasizes applied projects and a tech-centric network.

Program Highlights

  • Time to complete: ~2 years (part‑time) or ~12–18 months (full‑time)

  • Tuition & fees: (Data not found; typically ~$40,000–$60,000 total)

  • Format: Fully on‑campus, evening and daytime sessions

  • Full‑time/Part‑time: Both options available

University of San Francisco–MS in Data Science

USF’s 30‑unit MS integrates analytics, machine learning, deep learning, cloud computing, and practicum experience, to be completed in 12 months with a professional emphasis.

Program Highlights

  • Time to complete: 12 months full‑time

  • Tuition & fees: (Not specified; typical private program cost ~$40,000–$60,000)

  • Format: Fully on‑campus, day/evening

  • Full‑time/Part‑time: Full‑time; part‑time arrangements possible

Online Master’s in Data Science Programs Based in California

University of California, Berkeley–Master of Information and Data Science (MIDS)

The online MIDS is a 27‑unit, multidisciplinary program from Berkeley’s School of Information, known for its academic rigor, live evening sessions, and strong professional networking. Delivered online with one capstone immersion week on campus, it’s tailored for full‑time professionals seeking depth in data engineering, ML, ethics, and policy. The program can be completed in as few as 12 months (accelerated), typically 20 months, or up to 32 months based on pacing.

 Program Highlights

  • Time to complete: 12 mo (accelerated), 20 mo (standard), or up to 32 mo

  • Tuition & fees: ~$2,850/unit; 27 units ≈ $76,950, plus campus/program fees and optional health insurance

  • Format: Fully online with one on‑campus immersion

  • Full‑time/Part‑time: Designed for part‑time while working, with flexible pacing options

  • Ranking: #1-ranked online data science master’s program (Fortune)8

University of San Diego–MS in Applied Data Science

USD’s online 36‑credit MS is faculty-led with live sessions, focused on data engineering, analytics, and business impact. Developed with industry input, it offers a practical curriculum culminating in a capstone project. The program typically runs for 20 months over five semesters, with asynchronous flexibility for working professionals.

Program Highlights

  • Time to complete: 20 months (full‑time/professional) 

  • Tuition & fees: 36 credits × $965 ≈ $34,740, or 30 credits ≈ $28,950 if prerequisites waived

  • Format: Fully online with faculty-led synchronous and asynchronous courses

  • Full‑time/Part‑time: Flexible pacing; structured academic calendar

University of California, Riverside–Online Master of Engineering (Data Science Focus)

UCR’s online ME with a Data Science specialization blends engineering fundamentals with applied statistics, programming, and machine learning. It’s STEM‑designated, flexible, and ideal for analysts and engineers. Full‑time completion is around 13 months; part‑time pacing is allowed.

Program Highlights

  • Time to complete: ~13 months full‑time; flexible pacing available

  • Tuition & fees: 36 units × $963 ≈ $34,668, plus fees

  • Format: Fully online with engineering-school instruction

  • Full‑time/Part‑time: Both; adjustable for working professionals

National University–MS in Data Science

NU offers a 67.5‑quarter‑unit, self-paced MS in Data Science with rolling admissions and no GRE/essay requirements. Fully online, it provides flexibility with monthly starts and condensed four-week courses—designed for maximum schedule freedom.

Program Highlights

  • Time to complete: As quickly as 12 months (self-paced 4‑week course blocks)

  • Tuition & fees: $442/quarter‑unit; total ~67.5 units ≈ $29,835 (in-program tuition only)

  • Format: Fully asynchronous online with monthly enrollment

  • Full‑time/Part‑time: Self-paced—students choose intensity

Azusa Pacific University–MS in Applied Statistics and Analytics

APU’s faith-based online MS emphasizes statistics, analytics, and leadership in a 30±‑unit curriculum. Designed for adult learners, it allows fully online, flexible completion.

Program Highlights

  • Time to complete: ~2 years (self-paced part‑time)

  • Tuition & fees: Not listed; private tuition likely ~$35,000–$45,000 total

  • Format: Fully online, self-paced

  • Full‑time/Part‑time: Suitable for working professionals, part‑time structure

University of La Verne–MS in Data Analytics (Hybrid/Online)

ULV’s MSDA blends online core classes and flexible evening sessions on campus. Tailored for working professionals across Southern California with practical industry focus.

Program Highlights

  • Time to complete: ~2 years (typically part‑time)

  • Tuition & fees: Estimated ~$30,000–$45,000 total (not published)

  • Format: Hybrid – online core, evening in-person

  • Full‑time/Part‑time: Part‑time professional format

University of California, San Diego–Online Master of Data Science

UCSD’s online MDS mirrors its on-campus program through HDSI and CSE, offering an interdisciplinary curriculum with foundations, core, electives, and a capstone. Aims for practical skill advancement in two years for professionals.

Program Highlights

  • Time to complete: Up to 2 years (typically paced by students)

  • Tuition & fees: Not specified; similar online programs range from $40,000–$60,000

  • Format: Fully online with structured courses and capstone

  • Full‑time/Part‑time: Flexible pacing, professional student model

Admission Requirements and Application Tips

If you’re interested in applying for a California-based program at a California State University or other institution, understanding the master’s in data science admissions process is the next step. You should generally apply for these programs if you have an established background in tech, whether your experience is self-taught, academic, or learned through career experience.

There’s no one GPA needed to apply for data science programs in California, as GPA requirements vary from program to program. Each program will typically list these requirements, alongside other application prerequisites like coding knowledge, math foundation, or career experience. They’ll also share the materials you need to apply, like a statement of purpose or letters of recommendation.

While GRE scores used to be required for most applications, schools are increasingly opting to waive the requirement. Instead of studying for the test, focus on maximizing your application success by building a project portfolio, tailoring your statement of purpose, and preparing recommenders by supplying a list of relevant facts or qualifications they might include in their letters.

Career Outlook and Salaries for California Graduates

Although the tech industry has been in an uncertain era as of late, career outcomes for grads in the state remain positive. Offering higher overall rates of data science salary, California remains one of the major tech employers and the perfect place to launch a career.

If you’re interested in machine learning jobs, California employers typically pay ML Engineers an average of $180,955 per year, with a low end of $119,916 and a high end of $273,063.9 Data Scientist roles command an average of $153,289 each year, ranging from starting salaries of $93,170 to management level rates of $252,200.10  As a Data Engineer, you’ll earn an average base salary of $145,832 per year, with a low end of  $86,539 and a high end of $245,753.11 

Reflecting the high demand and competitive nature of these roles, these rates are representative of the employment landscape within the state as a whole. However, salaries do vary between regions. For example, you’ll likely command a higher salary in the high-cost-of-living hub of San Francisco versus the more affordable Central Valley. Your salary will also depend on your role, whether you’re a software engineer, data architect, or other type of tech professional.

How to Choose the Right Program

With so many contenders for the best data science programs in California, how do you find the best option for obtaining your degree? 

The return on investment (ROI) of data science degree programs all depends on your personal circumstances and what you’re seeking in your master’s experience. Full-time programs offer more immersion, while part-time programs enable you to balance work and other life commitments with your academic schedule. On-campus options may support a higher level of in-person networking, while online programs enable you to complete your coursework whenever and wherever is most convenient.

You’ll also have to balance prestige against accessibility when it comes to determining the ROI of your program of choice. Highly ranked programs offer more name recognition, but they’re also typically much more expensive. Exploring financial aid and scholarship options can help you determine what program is right for you.

Take the Next Step in Your Data Science Career

With a thriving data science education system and strong industry links, California is an ideal place to pursue a master’s in data science. Whether you’re interested in joining the thriving start-up space or becoming part of the team of one of the established tech giants, the state offers a wide range of opportunities.

Using DataSciencePrograms.com tools to explore the many masters of data science options in the state can help you begin your application process and find the right program for you. It’s the first step in launching the next stage of your fulfilling career in data science.

Sources:

  1. https://standard-insights.com/insights/californias-tech-landscape/

  2. https://cfce.calchamber.com/wp-content/uploads/2024/06/Tech-Sector-Shaping-CA-Economy.pdf 

  3. https://www.indeed.com/career/data-scientist/salaries/CA 

  4. https://www.sofi.com/cost-of-living-in-california/ 

  5. https://www.usnews.com/best-graduate-schools/top-science-schools/stanford-university-243744 

  6. https://www.usnews.com/best-graduate-schools/top-engineering-schools/university-of-southern-california-02027

  7. https://www.usnews.com/best-graduate-schools/university-of-california-san-diego-110680/overall-rankings

  8. https://fortune.com/education/information-technology/university-of-california-berkeley/

  9. https://www.indeed.com/career/ai%2Fml-engineer/salaries/CA 

  10. https://www.indeed.com/career/data-scientist/salaries/CA 

  11. https://www.indeed.com/career/data-engineer/salaries/CA