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Prepare for a career in a rapidly-growing field by earning your Data Science Post-Baccalaureate Certificate from SDSU Global Campus.


About the program

SDSU’s Data Science Post-Baccalaureate Certificate program is designed for data science professionals who want to acquire the advanced skills needed for a career transition or a graduate-level data science degree program. This post-baccalaureate program consists of four fully-online graduate-level courses that focus on a range of data science topics, including mathematical statistics, database management, machine learning, advanced analytics, and more. You’ll also learn how to use multiple various computer software packages throughout the courses.

Estimated CostTotal Estimated Cost
Completion Time Min. Completion Time
As short as 10 Months
Course Format Course Format

The program is fully online, which makes it ideal for working professionals and busy students who want to further their career without putting their professional life on hold. You’ll learn alongside data science professionals from diverse backgrounds and perspectives — which means that you’re joining a vibrant academic community where you can form meaningful professional connections and network across a range of career fields and organizations.

Whether your goal is career development or a graduate degree, earning your Data Science Post-Baccalaureate Certificate from San Diego State University will help you get there.

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Program is perfect for

The rapid rise of Big Data and the data economy has created a job market for data scientists that’s projected to grow by nearly 20% over the next decade. San Diego State University has designed this graduate-level program to meet the growing demand for highly-educated data science professionals. The intensive online curriculum will give you the competitive edge you need to stand out in a rapidly-growing, highly-lucrative job market.

Data scientists can find employment with businesses and organizations throughout the private sector. Data science professionals help to compile datasets, conduct research and analyze data, and distill information that help businesses develop a deeper understanding of consumer and market trends. In the public sector, data scientists work with local, state, and federal government agencies to analyze data that will inform and influence policy-making decisions, including public health policies, budgets, climate science, and more.

This graduate-level data science program is made for working professionals and busy students who hold a bachelor’s degree in a quantitative field, as well as undergraduate students who have completed some upper division coursework in quantitative and/or upper division math and statistics.

The entire curriculum consists of graduate-level courses taught by expert SDSU faculty and lecturers, which means that you’ll be well-prepared for graduate studies in data science.

What you can learn

SDSU’s Data Science Post-Baccalaureate Certificate program has an industry-relevant curriculum that will prepare you for graduate school and career opportunities. You’ll develop graduate-level skills that will help you stand out in a crowded job market by focusing on statistical modeling, data management, machine learning, and data analysis. Online course topics include:

  1. Probability Concepts and Models
  2. Statistical and Spatial Models
  3. Sampling Distributions
  4. Fitting Probability Distributions
  5. Statistical Estimators and Inferences
  6. SQL
  7. Regression Analyses
  8. Nonlinear models
  9. Machine Learning
  10. Support Vector Machines
  11. Neural Nets
  12. Data Analysis Techniques

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Labor Analysis
Data Scientist — Nationwide

Job Postings
Job Postings
Last 12 months

Projected Growth
Projected Growth
Over 10 years

Salary Range
Salary Range

Source: BLS & Burning Glass Technologies, 2020

Job Postings

Professional, Scientific, and Technical Services


Finance and Insurance








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Top Employers

  • IBM
  • Amazon
  • Humana
  • Anthem Blue Cross
  • Booz Allen Hamilton Inc.
  • Deloitte
  • Facebook
  • Capital One
  • Microsoft Corporation
  • Johnson & Johnson

With the rapid growth of data- and knowledge-driven economies across the globe, the employment outlook for data scientists is bright. Across the nation, there were nearly 40,000 job postings seeking data scientists across the nation. Those numbers are expected to grow by 19% over the next decade — 22% in California alone.

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Data science is also an extremely lucrative career path. According to the Bureau of Labor Statistics, the median annual salary for data scientists is currently $119,000. For those with a bachelor’s degree, the average annual salary is $116,000; for data scientists with a master’s degree, the average annual salary is $123,000 per year. Data scientists with more than 6 years of experience can expect to earn an average annual salary of $127,000 per year; those with more than 9 years of experience earn an average salary of more than $130,000 per year.

Why Should You Choose Us?


All courses are 100% online and accessible from anywhere in the world. In just 10 months, you can earn a graduate-level certificate that will help you boost your résumé, prepare for graduate school, and help you become a stronger data science professional.

Timely Course Topics

As more industries join the Big Data Revolution, the field of data science continues to evolve to meet the challenges of a rapidly-growing industry. With the help of our highly-experienced faculty, we’ve developed timely online courses that focus on building the in-demand skills that employers are looking for.


San Diego State University has a reputation for excellence in the academic world. As a top-100 public university, we’re proud of the achievements of our nearly 400,000+ alumni, who have helped us become recognized as the school with the No. 1 Graduate Rate Performance in the country, based on the U.S. News & World Report’s most recent college rankings.


In order to earn your Data Science Post-Baccalaureate Certificate, you must complete the following four courses:

  • STAT 556: Mathematical Statistics for Data Science (3 Units)
    The Mathematical Statistics for Data Science course introduces core principles and mathematical underpinnings of statistical inference in data science applications. Topics discussed in this course include probability concepts, properties of probability models, sampling distributions, central limit theorems, fitting probability distributions, properties of statistical estimators and inferences, evaluating statistical models. Executives and decision-makers have access to more statistical data than ever before, but deriving meaning and actionable insights from that data requires specialized knowledge and expertise in data science.
  • STAT 656: Database Management and Predictions (3 Units)
    The Database Management and Predictions course introduces concepts like database creation and management for a constantly evolving data science world. Topics that are taught during this course include SQL, regression analyses, and classifications. This course provides students with the expertise needed to effectively manage databases in real-world applications in a number of related data science fields.
  • STAT 657: Statistical and Machine Learning Methods (3 Units)
    Machine learning is a branch of artificial intelligence and data science that teaches systems the ability to independently and continuously learn and improve from experience. Modern statistical and machine learning methods taught in this course will highlight the fundamentals of developing complex algorithms for machines. Topics presented in this machine learning course include model selection and regularization, generalized additive models, support vector machines, and neural nets.
  • STAT 658: Advanced Data Analytics (3 Units)
    The Advanced Data Analytics course gives students the skills needed to design predictive data models and make informed data-driven decisions in the data science field. Learn advanced methods and theory for data analysis techniques and applications that are useful in any industry. The technique areas include generalized linear models, nonlinear models for regression, time series, and spatial models.

This program is open to all students who have completed a bachelor’s degree in data science or a related field. The program consists of graduate-level courses, which requires a foundational knowledge of data science that you would acquire in an undergraduate program.

How to Register

Coming soon!


Total Units: 12
Total Cost to Complete Program: $9,588

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