Online Master’s in Data Science and Analytics

Make meaningful contributions to the data science field

Faculty mentorship and a Virtual Data Analytics lab are part of the highly regarded M.S. in Data Science and Analytics.

Are you ready to join the ranks of technology professionals who are quietly changing the world? When you enroll in PennWest’s Data Analytics program online, you will be on your way.

Built on PennWest Clarion’s highly regarded M.S. in Data Science and Analytics and PennWest California’s industry-approved graduate certificate in Data Science, this 100% online program includes instruction in data warehousing, querying databases and reporting, data mining, predictive modeling and analytics, computer programming, inference, machine learning, optimization, probability and stochastic models, statistics, big data analytics, and visual analytics (data visualization).

This program prepares you to make a meaningful contribution to organizations in every field, from retail sales to health care, because you will have the skills and expertise to interpret and apply big data to generate insights that will identify and predict business trends.

You will have access to resources such as a Virtual Data Analytics lab, as well as the full attention of faculty who are in the classroom and in the labs, serving as your mentors and guides. Two capstone courses will prepare you to sit for the SAS Programming Specialist exam and launch your career in this lucrative and rewarding field.

View courses

90%

An IBM report states that 90% of the data in the world today has been created in the last two years alone.

100% online

Designed for working professionals

$99,270

According to the U.S. Bureau of Labor Statistics, the median annual wage of computer systems analysts was $99,270 in May 2021.

Fast Facts

2

Capstone courses allow students to explore and identify real-world datasets for analysis.

Credits:

Format:

100% online

Contact:

Graduate Admissions
gradadmissions@pennwest.edu
724-938-4187

Start Terms:

Fall, Spring and Summer

Careers and Salaries

What Can I Do with a Master’s in Data Science and Analytics?

Jobs in information technology are ranked in the "Best Jobs in America" by Money Magazine year after year. An article from The Economist explored which degrees give the best financial returns and another article from Forbes Magazine listed the majors with the highest starting salaries.

Students graduate from our programs with a solid education and get good jobs with outstanding employers such as Raytheon, PNC Bank, Minitab, DataForma, Remote Database Experts, and Future POS. Graduates can also be found in successful positions in local schools, banks and small businesses, as well as government positions.

Graduate Outcomes

Design, implement, populate, and query relational databases for operational data.
Design, modeling, data integration (ETL), analysis, querying, and reporting of data warehouses using analytical databases. Evaluate the use of data from acquisition through cleansing, warehousing, analytics, and visualization to the ultimate business decision.
Perform quantitative data analysis using appropriate statistical methods and tools (SAS) to aid business decisions and reduce the risks and optimize solutions.
Explore data to understand relationships among variables and harness/mine very large data sets to make business decisions using machine learning techniques.
Build and apply machine learning algorithm-based predictive models to make predictions for new data. Partition data to train, validate, and test the predictive models. Assess model performance for deploying the model offering the best predictive accuracy. Use ensemble models to improve predictions.
Apply data visualization best practices to communicate visual insights through charts, dashboards, and to communicate data-driven stories.
Discern when to implement relational versus non-relational database systems. Execute real-time analytical methods on streaming datasets to react quickly to customer need.
Integrate, apply, and implement the concepts, techniques and tools of data analytics learned in the MS DSA Program using capstone projects with real-world datasets.
Identify and explain knowledge in data science, big data, and technology used for processing big data and data science methods.
Formulate and solve data science and big data problems using appropriate data management and analysis skills.
Identify and apply the technology necessary to aid in solving real-world problems.
Effectively use technology to solve data science problems.
Be literate in the language of data science and in data analysis skills for data science and big data.