Data Scientist
Discover Hidden Patterns
Solve Complex Problems
Shape Strategic Decisions
Undergraduate
Bachelor of Science in Data Science and Artificial Intelligence
Graduate
No degrees available
Post-Graduate
No degrees available
This is the educational pathway. There may be additional tests or licensure requirements necessary before begining to practice in the field. Consult your state guidelines for more. information.
Popular Titles
Core Areas of Impact
Is this career right for you?
What is the role of a data scientist?
A data scientist analyzes large and complex datasets to identify patterns, build predictive models, and generate insights that support business strategy, research, and operational decisions.
What does a typical day look like?
A typical day includes collecting and cleaning data, developing statistical models, building machine learning algorithms, creating visualizations, and communicating findings to leadership or technical teams.
Where do data scientists work?
Data scientists work in technology companies, financial institutions, healthcare organizations, consulting firms, research institutions, and government agencies.
What are the common job titles and career paths?
Common roles include Machine Learning Scientist and Predictive Analytics Scientist. Career paths may lead to AI engineering, advanced research roles, data science leadership, or executive positions overseeing data strategy.
Who is this career a good fit for?
This career suits individuals who enjoy mathematics, programming, statistics, and solving complex analytical problems using data.
What are the biggest rewards of this career?
Rewards include strong compensation, extremely high job demand, intellectual challenge, and the ability to influence major strategic decisions.
What does long-term growth look like?
Long-term growth may include specialization in artificial intelligence, leadership of data science teams, or executive roles responsible for organizational data strategy.
What is the educational pathway to become a data scientist?
Most data scientists hold a bachelor’s degree in data science, computer science, statistics, mathematics, or a related quantitative field. Many professionals also pursue graduate study in data science, artificial intelligence, or machine learning as their careers advance.
Sara Schenirer offers a Bachelor’s in Data Science and Artificial Intelligence through St. Peter’s University, which provides training in programming, machine learning, statistical analysis, and data modeling. These skills form the core technical foundation required for modern data science careers.
The standard pathway includes completion of a technical bachelor’s degree, development of programming and statistical modeling skills, and practical experience working with large datasets.
