In nearly every sector, companies are seeking skilled leaders to transform troves of data into profit.
About the Program
Pacific’s Eberhardt School of Business launched its STEM-designated Master of Science in Business Analytics (MSBA) in Fall 2021. Open to students with a bachelor’s degree in any major, this unique 9-month* plus internship** program allows entry-level students to gain experience in the field using the vast industry network of the Eberhardt Career Management Center. The hybrid program blends online learning with on-campus classes at Pacific’s Stockton campus. With a curriculum built to align with the International Institute of Business Analytics standards, students will gain the essential skills and knowledge required to be successful leaders of data-informed business strategy.
* 9-month schedule is only available for full-time students starting in the fall semester. Full-time students must take 16 units in the fall and 15 units in the spring semesters. Conditionally accepted students may not be eligible for the 9-month schedule.
** Internship requirement: 120 hours of work related to business analytics in a qualified business or non-profit organization. An internship is not required for students with full-time employment at the completion of course works.
Surging Demand
Graduates with an analytics degree in business will be met with one of the fastest-growing and most versatile employment fields in the country. The Bureau of Labor Statistics of the U.S. Department of Labor states that “employment growth will be driven by an increasing use of data and market research across many industries.” Whether it is analytics applied to market research, operations research, or financial research, employment growth is projected to range from 14% to 25% from 2020 to 2030 in business analytics fields, which is must faster than the average job growth rate for all occupations. The increase in the collection and analyses of “big data”— extremely large sets of information in every industry — will provide the need for individuals who can gather, interpret, and analyze data to optimize decision-making.
Courses offered in a Hybrid of online and classroom learning
Built-in real-world internships
Finish the curriculum in just 9 months*
For students who seek to work full-time, the program can flex to meet your needs. Take a reduced course load with the option to take courses over two academic years and complete a capstone experience at your place of work in lieu of the required internship.
The Eberhardt School of Business develops knowledgeable, innovative business leaders in a personalized, experience-based learning environment and produces scholarship that contributes to disciplinary knowledge, informs teaching, and advances the practice of business.
We share a set of underlying principles that govern our behaviors and our ability to achieve our mission:
- Maintaining a student-centered learning environment
- Educating the whole person
- Stimulating intellectual growth
- Maintaining a mutually supportive community of faculty, staff, and students
- Engaging external stakeholders
- Promoting excellence
- Being socially responsible
- Behaving ethically and with integrity
- Providing service to the university, community, and profession
Graduates of the MS in Business Analytics program will be able to:
- Demonstrate technical proficiency in mathematics, statistics, programming, and software tools for business analytics
- Effectively communicate in oral and written forms at a high level of professional expectations
- Translate and analyze data into presentable and actionable business/managerial solutions with an awareness of ethical issues in the field
The admission process involves a holistic review of each applicant’s background and experiences. The following are required for admission:
- Bachelor’s degree with a 3.0 or higher GPA
- Applicants with a GPA between 2.65-2.99 may be considered if they have relevant work experience or certificate coursework completed that speaks to their ability to be successful in the program.
- Official transcripts*
- Resume
- Personal statement
- Two letters of recommendation
- Demonstrated quantitative capabilities
- Applicants may demonstrate their quantitative capabilities through successful undergraduate coursework in statistics (MATH 37 or equivalent), relevant work experience, a minimum GMAT Quantitative Reasoning Score of 40, or a minimum GRE Quantitative Reasoning Score of 152. If the applicant’s quantitative abilities are not demonstrated in the application, the applicant will be asked to enroll in a pre-approved course and successfully complete it with a minimum course grade of "B."
Official transcripts should be sent directly to the Office of Graduate Admission, located at:
University of the Pacific
Office of Graduate Admission
Knoles Hall Room 204
3601 Pacific Avenue
Stockton CA 9521
NOTE: Students are required to have their own portable computers with the following minimum hardware requirement: Processor: i7 or equivalent; RAM: 16 GB; Hard Disk: 512 GB; OS: Microsoft Windows. Instruction will be given on the Windows platform.
INTERNATIONAL STUDENTS: Please visit the International Graduate Applicants site to learn more about the additional application requirements.
Full-Time 9-Month Course Sequence
Fall Semester (16 units)
MSBA 210 — Business Analytics (3)
MSBA 220 — Business Concepts and Applications of Analytics (3)
MSBA 230 — Database Management with SQL and R (3)
MSBA 232 — Programming for Data Science (Online) (1)
MSBA 235 — Research Methods & Ethics (3)
MSBA 285 — Capstone Project I (3)
Spring Semester (15)
MSBA 240 — Advanced Business Analytics (3)
MSBA 250 — Applied Business Analytics (3)
MSBA 260 — Leading the Analytics Organization (3)
MSBA 265 — Special Analytics Topics (3)
MSBA 286 — Capstone Project II (3)
Part-Time 2-Year Course Sequence
Fall Semester Year 1 (9)
MSBA 210 — Business Analytics (3)
MSBA 220 — Business Concepts and Applications of Analytics (3)
MSBA 235 — Research Methods & Ethics (3)
Spring Semester Year 1 (6)
MSBA 240 — Advanced Business Analytics (3)
MSBA 265 — Special Analytics Topics (3)
Fall Semester Year 2 (7)
MSBA 232 — Programming for Data Science (Online) (1)
MSBA 230 — Database Management with SQL and R (3)
MSBA 285 — Capstone Project I (3)
Spring Semester Year 2 (9)
MSBA 250 — Applied Business Analytics
MSBA 260 — Leading the Analytics Organization
MSBA 286 — Capstone Project II
Part-Time 3-Year Course Sequence
Fall Semester Year 1 (6)
MSBA 210 — Business Analytics (3)
MSBA 220 — Business Concepts and Applications of Analytics (3)
Spring Semester Year 1 (3)
MSBA 240 — Advanced Business Analytics (3)
Fall Semester Year 2 (6)
MSBA 230 — Database Management with SQL and R (3)
MSBA 235 — Research Methods & Ethics (3)
Spring Semester Year 2 (6)
MSBA 265 — Special Analytics Topics (3)
MSBA 250 — Applied Business Analytics (3)
Fall Semester Year 3 (4)
MSBA 232 — Programming for Data Science (Online) (1)
MSBA 285 — Capstone Project I (3)
Spring Semester Year 3 (6)
MSBA 260 — Leading the Analytics Organization (3)
MSBA 286 — Capstone Project II (3)
* All courses are either hybrid or online unless otherwise noted.
** Program, course offerings, and schedule are subject to change.
Master of Science in Business Analytics
We strongly encourage anyone interested in joining the program to attend an information session to learn more.
“The Master of Science in Business Analytics develops graduate students with the essential abilities to use data effectively and strategically for business people regardless of industries or job functions.”
Business programs offered by the Eberhardt School of Business are accredited by the Association to Advance Collegiate Schools of Business (AACSB) International, the premier business school accrediting organization in the world. The five-year continuous review process ensures students and employers of the most current and high-quality programs. Learn more about the AACSB and the continuous review accreditation process. Learn more about what it means for you to attend an AACSB accredited school.
We take a hands-on approach with our students. This means we want to get to know you throughout your discovery and application process. Help us connect with you by taking the next step.
