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Data Analytics
This degree equips students with techniques to transform raw data into actionable insights, identifying trends, making inferences, and drawing conclusions. Graduates gain a blend of programming, information systems, applied statistics, business, and data analysis skills.
Now Offering a Bachelor of Science Degree in Data Analytics
Savannah State University is now offering a Bachelor of Science degree in Data Analytics to meet the growing demand for employment opportunities across a variety of industries. This program will teach you how to use technology to find, collect and analyze data to detect trends and extract information. Let Savannah State University nurture your passion for an academic discipline and transform it into a career path!
- Face-to-face, classroom-based learning experiences are valued in the program, although some classes may be offered in online and/or hybrid modality mainly to accommodate work schedule.
- Through working partnership with local and nationally recognized industries, the program offers Cooperative Experiential Learning (Co-op) and Internship programs to eligible students.
- All major core and elective data-specific courses are taught by adopting a unique and project-based approach by using real-life data collected via industry collaboration. It will allow the students experience real-world problems and finding solutions. The focus is to turn data into actionable insights.
The curriculum includes opportunity to complete at least 15 credits from any major discipline in which students wish to acquire knowledge and attain expertise to join the discipline-specific workforce.
Top Skills Gained in a Data Analytics Major
Data Mastery with R & Python
Mastering statistical programming languages like R or Python unlocks a new level of data analysis. You gain the ability to write programs that automate the cleaning, analysis, and visualization of large datasets, exceeding the limitations of tools like Excel.
Structured Query Language (SQL)
Proficiency in SQL (Structured Query Language) which is a standard language for interacting with databases, is considered as a key data management skill. It allows you to update, organize, query, and even modify the structure (schema) of relational databases. SQL is arguably the most important skill for aspiring data analysts, as it's essential for accessing company data and is a requirement for nearly all data analyst positions.
Critical Thinking
A data analyst's ability to critically evaluate data is paramount. This skill ensures that insights are reliable and inform sound decisions. Critical thinking helps identify and address potential biases or flawed methodologies, preventing incorrect conclusions. Demonstrating these skills fosters trust in the analysis and its recommendations among stakeholders.
Statistical Knowledge
Strong probability and statistics skills are essential for effective data analysis, enabling you to identify trends, avoid logical pitfalls, and produce trustworthy results.
Advanced Excel for exploratory data analysis (EDA)
Before diving into complex analyses, Exploratory Data Analysis (EDA) is essential for uncovering insights hidden within data. Excel's user-friendly interface and diverse functionalities make it a valuable tool for EDA. Analysts can leverage Excel to clean and prepare data, create informative visualizations, calculate key statistics, identify trends and anomalies, and perform multidimensional analysis using pivot tables. Its filtering, sorting, and conditional formatting capabilities further aid in the exploration process.
Communication / story-telling through visualization
Data analysis isn't just about uncovering insights; it's about communicating them effectively to drive better business decisions. Data visualization is key to this process. By transforming data into compelling charts, graphs, maps, and other visuals, analysts can present findings clearly and concisely. Mastering visualization software like the industry-standard Tableau empowers you to create impactful dashboards, data models, visualizations, and business intelligence reports. You'll learn about Python and R's visualization libraries, which enable advanced and highly customizable data visualizations.
Machine Learning
While data analysts are not typically required to be machine learning specialists, understanding the basics of this powerful AI technique can significantly enhance your career prospects. Machine learning algorithms, designed to learn from large datasets, are increasingly important in data science.
A Degree With Multiple Disciplines
The curriculum includes opportunity to complete at least 15 credits from any major discipline in which students wish to acquire knowledge and attain expertise to join the discipline-specific† workforce.
105 Core Credits (including Electives) + 15 credits of Preferred Major Discipline = B.S. in Data Analytics
†For example, if you want to join Homeland Security related job such as Intelligence Analyst after your graduation, you can prepare yourself by taking 15 credits (19 credits if you include 4 credits of free electives) worth of Homeland Security major courses offered at SSU. It will prepare you for the job despite of not acquiring a degree in Homeland Security. This is true for any program we offer at SSU.
Data Analytics, BS
23%
Increase in Career Opportunities
latest report from the U.S. Bureau of Labor Statistics (BLS)
$73-103K
Average Salary
for Data Analysts in America (Glassdoor)
Data Analysts are in high demand
Ranked #2 in U.S. job growth by the World Economic Forum, Data Analytics is booming. The U.S. Bureau of Labor Statistics (BLS) reports soaring demand, yet there aren’t enough skilled analysts to fill the gap.
Every successful product, service, and strategy today is data-driven. Tracking National Health trends to Netflix recommendations, data analytics is at the heart of all information. As our reliance on digital services grows, so does the flood of data. But data alone tells no story—it needs analysts to unlock its value.
That’s where Savannah State University comes in. Our BS in Data Analytics teaches students to harness technology, extract insights, and turn data into powerful decisions. More than just numbers, this program transforms passion into a career. 🚀
Future Careers
Business Intelligence analyst
Business Data Analyst
AI Business Analyst
Sales Analytics Professional
Web Analytics Professional
Fraud analytics Professional
Product Analyst
Social Media Data Analyst
Sports Data Analyst
Healthcare Analyst
Business Data Analyst
AI Business Analyst
Sales Analytics Professional
Web Analytics Professional
Fraud analytics Professional
Product Analyst
Social Media Data Analyst
Sports Data Analyst
Healthcare Analyst
Frequently Asked Questions
What can I do with a degree in Data Analytics?
A degree in Data Analytics prepares you for roles such as Data Analyst, Business Intelligence Analyst, Data Scientist, Marketing Analyst, and Financial Analyst. Graduates work in industries like healthcare, finance, retail, tech, and government.
What skills will I learn in a Data Analytics program?
You’ll develop skills in data visualization, statistical analysis, programming (Python, R, SQL), machine learning basics, data wrangling, and business intelligence tools (Tableau, Power BI).
Do I need a strong math background for Data Analytics?
While math skills (statistics, probability, and algebra) are important, many programs focus more on applied data techniques rather than advanced mathematics. A basic understanding of math concepts is sufficient for most entry-level roles.
How does Data Analytics differ from Data Science?
Data Analytics focuses on interpreting existing data to solve business problems, while Data Science involves building predictive models and algorithms using more advanced statistical and programming techniques.
Is a Data Analytics degree worth it?
Yes! With high demand and strong salary potential, a Data Analytics degree can lead to lucrative career opportunities. Many businesses rely on data-driven decision-making, making skilled analysts highly valuable.