Master of Science in Data Science

Graduate students in the program develop expertise across the data science pipeline, including data management, modeling and computational analysis. Core areas of study include data mining, machine learning, statistical learning, database systems and probability and statistics for data science. Students also explore topics in artificial intelligence and deep learning as part of the program’s emphasis on modern analytical techniques.

Elective coursework allows students to deepen their expertise in specialized areas such as cloud computing, evolutionary computing and advanced machine learning methods.

The MS in Data Science and Engineering requires 30 credit hours of graduate coursework. The curriculum balances theoretical foundations with applied training in modern data science technologies and analytical methods.

Students complete graduate courses in data science, statistics and computing while selecting electives that allow them to specialize in advanced topics. The program culminates in a capstone project in which students apply their skills to a real-world data science problem. Through this experience, students integrate statistical, computational and analytical techniques while working on practical data-driven applications.

A key strength of the program is its interdisciplinary structure. The degree offers two concentrations that reflect the complementary roles of statistical analysis and computing infrastructure in modern data science.

The Data Science concentration is administered by the Department of Mathematics and Statistics, while the Data Engineering concentration is administered by the Department of Computer Science and Software Engineering. This collaboration allows students to combine statistical modeling, computational methods and data infrastructure skills within a single degree program.

Graduates of the program develop expertise in statistical modeling, machine learning and large-scale data analysis. These skills prepare students for careers in data science, machine learning, artificial intelligence and advanced analytics across a wide range of industries.

Professionals with training in data science are increasingly sought after in technology companies, finance and business analytics, government agencies and scientific research organizations. As organizations rely more heavily on data to guide decision-making and innovation, the demand for skilled data scientists continues to grow.