Data Science Degree (STEM)

Data Science Degree (STEM)

DRIVE ACTIONABLE, DATA-BASED DECISIONS WITH A DATA SCIENCE DEGREE

All organizations collect data, but turning that data into actionable insights requires the analytical knowledge and skills developed through a Data Science degree. At Saint Mary’s we leverage the Bay Area’s network of industry leaders and culture of innovation to provide students with hands-on opportunities to gain the tools they need for career success. Here, we’re turning data science into an art.

 

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A curated path to career success

photo of saint mary's winners from business analytics competition and conference

Rooted in Saint Mary's tradition of critical thinking and advanced communication skills, the Data Science degree prepares students to extract meaningful insights from data and develop actionable solutions.  Our award-winning faculty has designed a streamlined and focused curriculum, ensuring you receive the essential courses needed for success in your career path, while providing support every step of the way.

business analytics professor safwat hamad

A Message from our Business Analytics Professor

"Data is the new oil, but with data science you have the power to refine it and transform it into a fuel that drives innovation and progress. Become a master in the art of finding insights, creating solutions, and shaping the future with our Data Science degree."

Business Student for a Day

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Saint Mary's Students on Campus for Business Student for a Day

A Preview of Your Future

Curious about life as a Saint Mary's business student? Our program gives you a firsthand look at SEBA by:

  • Attending real classes led by our esteemed faculty.
  • Meeting current SEBA students for insights on academic and campus life.
  • Enjoying lunch at Oliver Hall and connecting with other students.
  • Touring the campus and exploring its resources.
  • Experiencing the excitement of a Saint Mary’s athletic event.

Dive into the vibrant life of a Saint Mary’s business student!

Saint Mary's College Data Science Club

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photos of the data science team

Join the Data Science Club

The Saint Mary's Data Science Club has been student-driven from its inception, with a focus to: foster learning, drive innovation, and promote ethical data practices.

The Data Science Club continues to cultivate a dynamic community through the exploration and analyzation of data to solve real-world problems. Through continuous growth and outreach, their goal is to transform data into actionable insights for a better and more equitable future for everyone.

AACSB Accredited Business School

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photo of saint mary's doctoral graduates
 
 
 
 
 
Among the Top 6% of Business Schools Worldwide

Being among the top 6% of business schools worldwide reflects more than just academic excellence—it embodies Saint Mary’s deep commitment to its Lasallian roots. AACSB accreditation ensures that undergraduate and graduate Gaels receive a rigorous, globally recognized education grounded in ethical leadership, innovation, and service to others. This distinction aligns with our mission to prepare future business leaders who are not only skilled professionals but also compassionate changemakers, dedicated to creating a positive impact in their communities and beyond.

Degree Curriculum

Data Science, BS

BS

The Data Science program offers a comprehensive approach designed to prepare students for success in the rapidly growing field of data analysis and artificial intelligence. Combining theoretical knowledge with hands-on experience, students will explore topics such as statistical modeling, data visualization, programming in Python and R, and machine learning algorithms. A key aspect of the program is an emphasis on ethical data usage, ensuring students understand the responsibilities associated with handling data, privacy concerns, and the societal impact of data-driven decisions. Graduates of this program will be equipped not only to solve real-world problems and derive insights from large datasets but also to do so in a way that respects privacy and promotes fairness in data usage. With this knowledge, students will be prepared to work in diverse industries such as tech, finance, healthcare, and government.

Learning Outcomes

  • GOAL 1 Business Decision-Making OBJECTIVE 1.1: Apply core quantitative and/or qualitative analytical methods to improve and support effective business decision-making.
  • GOAL 2 Communication OBJECTIVE 2.1: Produce business writing that meets professional standards.
  • GOAL 2 Communication OBJECTIVE 2.2: Deliver a professional oral presentation.
  • GOAL 3 Ethics & Social Responsibility OBJECTIVE 3.1: Analyze an ethical issue and defend the decision based on this analysis.
  • GOAL 3 Ethics & Social Responsibility OBJECTIVE 3.2: Analyze whether firms are managed as socially and environmentally responsible businesses.
  • GOAL 4 Disciplinary Knowledge OBJECTIVE 4.1: Apply computational skills to solve complex problems.

Requirements

Statistics

Take one statistics course from this category:

  • Probability and Statistics (3 units)
  • Intro Probability & Statistics (3 units)
  • Probability & Statistics (4 units)

Laboratory

Take the following laboratory:

  • Excel Lab (1 units)

Programming

Take one course in programming (BSAN 205 preferred):

  • AI for Everyone (3 units)
  • Programming I (4 units)

Required Courses

Take the following required courses:

  • Project Management (3 units)
  • Project Management EL (1 units)
  • Data Visualization (3 units)
  • Advanced Quantitative Analysis (4 units)
  • Database Programming (3 units)
  • Machine Learning (4 units)
  • Data Warehousing (4 units)
  • Special Topics in Data Science (4 units)
  • Calculus I (4 units)
  • Linear Algebra (4 units)

Capstone

  • Data Science Capstone (4 units)

Three Additional Courses

Take THREE courses from this category:

  • Accounting Analytics (3 units)
  • Operations Management (3 units)
  • Blockchain & Digital Currency (3 units)
  • Programming II (4 units)
  • Web Programming (4 units)
  • Analysis of Algorithms (4 units)
  • Tech Ethics (3 units)
  • Design of Experiments (4 units)
  • Natural Language Processing (4 units)
  • Cloud Computing (4 units)
  • Financial Analytics (4 units)
  • Data and Analytics in Sport (4 units)
  • Digital Marketing (4 units)
  • Online Content Creation (4 units)
  • Probability and Statistics (3 units)
  • Excel Lab (1 units)
  • Data Visualization (3 units)
  • DATA Elective (1-5 units)
  • Advanced Quantitative Analysis (4 units)
  • Database Programming (3 units)
  • Machine Learning (4 units)
  • DATA UD Elective (1-5 units)
  • Design of Experiments (4 units)
  • Natural Language Processing (4 units)
  • Cloud Computing (4 units)
  • Data Warehousing (4 units)
  • Fintech (4 units)
  • Special Topics in Data Science (4 units)
  • Internship (1-4 units)
  • Data Science Capstone (4 units)
  • Independent Study (1-4 units)

What can you do with a degree in Data Science?

A degree in Data Science equips you to extract insight from complex datasets using statistics, programming, and machine learning, and communicate the results that drive decisions. 
(*Some careers may require additional tools expertise, certification, or graduate study)

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Saint Mary's Data Analytics Degree Students Studying Outdoors on Campus

Data Scientist
Frame problems, engineer features, build and validate models, and translate results into business or policy actions

Machine Learning Engineer
Deploy and maintain ML systems in production, monitor performance, and iterate models and pipelines

Data Engineer
Design and manage data pipelines, warehousing, and ETL/ELT to ensure reliable, scalable access to data

Analytics / BI Engineer
Model semantic layers, define metrics, and deliver trustworthy dashboards and self-service analytics

NLP / AI Specialist
Apply natural language and generative AI techniques for search, summarization, chat, and recommendation

Quantitative / Financial Analyst
Build risk, pricing, and forecasting models to support trading, investment, and corporate finance decisions

Product Data Scientist
Run experiments, analyze user behavior, and inform roadmap and growth with causal and behavioral insights

Healthcare / Public Sector Data Scientist
Use predictive and geospatial analytics to improve outcomes, allocate resources, and evaluate interventions

Research Scientist (Applied)
Advance algorithms, run rigorous experiments, publish findings, and transfer methods into real products

Learn More About Our Data Science Degree

Get to know our well-respected faculty and their academic specialties. Or explore scholarship opportunities and an array of internship possibilities.

Frequently Asked Questions

A data science degree is an undergraduate program focused on the study of data analysis, statistics, programming, and machine learning.

The Saint Mary’s data science degree program consists of 55-58 units total

Students with a data science degree can pursue a variety of career opportunities including (but not limited to), data scientist, data analyst, machine learning engineer, data engineer, business intelligence analyst, data consultant, research scientist, AI specialist, and more.

Students with a data science degree develop a wide range of skills including data analysis and interpretation, statistical modeling, machine learning techniques, data visualization and storytelling, programming languages, problem solving and critical thinking and more.

The Data Science (BS) degree emphasizes a deeper engagement with advanced mathematics and statistics as it relates to analyzing and interpreting complex data sets. This includes courses in calculus, linear algebra, probability and statistics, and machine learning. The Data Analytics (BA) degree, while also including statistical foundations, may have a slightly less intensive mathematical focus. It covers essential statistical concepts and methodologies for data analysis but may not delve as deeply into the more advanced mathematical theories that are central to the data science discipline. This difference reflects the more technical and model-oriented approach of data science compared to the broader, application-focused approach of data analytics.

Saint Mary’s students can expand their network by attending campus events, joining the SEBA Data Science Club, connecting with guest speakers on LinkedIn, visiting the Career Center on campus, exploring internship opportunities, and building meaningful relationships with students, alumni, and professors.