MSc in Data Science and Analytics - Computational Data Science in Peoria United States | Bradley University

The rising prevalence of digital platforms has pushed data mining and knowledge discovery (DM/KD) methods into the spotlight of cutting-edge technologies, creating greater demand for professionals who can interpret and process the enormous volumes of data produced every day.

Bradley's 30-hour graduate program in data science and analytics with a Computational Data Science (DSA-CD) specialization equips you with computational techniques and data science tools to manage every stage of a data project. This includes data cleaning, preprocessing, feature selection, and transformation methods, as well as machine learning algorithms and their implementation for data analysis, predictive modeling, classification, and unsupervised learning tasks. The curriculum also covers post-processing and model assessment techniques, such as ensemble methods like stacking, boosting, and aggregate modeling.

You'll gain proficiency in widely used programming languages for data science, including Python and R, along with their specialized libraries. The program also introduces advanced data science frameworks like TensorFlow for deep learning and Hadoop for distributed database management.

These skills will be put into practice during your capstone experience. Alternatively, you may choose to complete a thesis under the guidance of faculty members with deep expertise in data science.

Upon graduation, you may have gained:

Hands-on experience solving industry-relevant problems through coursework or an intensive capstone project.
Proficiency in statistical techniques for model validation and assessment.
The capability to design meaningful and precise data visualizations.
Expertise in programming languages like Python and R for data mining, machine learning frameworks such as TensorFlow, and big data solutions including Hadoop.
The option to complete a master's thesis.