.png){kind=logo}
The advanced certificate in data science program at Monroe University provides an accredited graduate-level education to professionals who possess a master's degree in computer science, information technology, or related fields. The program offers complete online delivery together with hybrid and on-campus learning options which enable students to acquire the essential skills needed for data science positions through statistical analysis and programming and machine learning and big data and AI training in a flexible format that supports their professional development.
Here are some outcomes you may observe as you complete the course:
Strengthen skills in statistical and object-oriented programming using Python, R, and SQL
Apply statistical modeling, data management, and data visualization techniques to real-world datasets
Gain hands-on experience with big data analytics, cloud platforms, and distributed systems
Explore artificial intelligence and machine learning for predictive and applied data science use cases
Complete a professional-level applied data science project under faculty mentorship
The program provides working professionals with online and hybrid and on-campus study options. Full-time students can complete the 18-credit certificate in just one year (three semesters), with the possibility of accelerated completion in two semesters with approval. Monroe University graduates receive an Advanced Certificate from the King Graduate School, which enhances their career mobility in the fast-growing data science employment sector.
Below is a detailed overview of all the topics that will be covered in the course:
Data Science Foundations and Applications: Data science lifecycle, end-to-end workflows, business use cases, and core data science concepts.
Programming and Statistical Methods: Python, R, SQL, statistical modeling, regression analysis, inferential statistics, and hypothesis testing.
Big Data Analytics and Engineering: Big data ecosystems, Apache Hadoop, HDFS, YARN, MapReduce, and distributed data processing.
Database Systems for Data Science: Relational databases, MongoDB fundamentals, data modeling, database design, and ETL processes.
Data Analysis and Exploration: Environment setup, NumPy, Pandas, exploratory data analysis (EDA), data cleaning, and transformation.
Data Visualization and Business Intelligence: Matplotlib, Seaborn, Tableau, Power BI, dashboards, and storytelling with data.
Cloud and Industry Tools: Amazon Web Services (AWS), SAS, Apache Spark, and scalable analytics platforms.
Machine Learning and Artificial Intelligence: Supervised and unsupervised learning, predictive modeling, neural networks, deep learning fundamentals, and applied AI use cases.
Here are some criteria that you must fulfil before enrolling for the course:
Master’s degree (or international equivalent) in CS, IT, CIS, or a related field
Completed application with résumé and transcripts
Two professional letters of recommendation
Pre-admission interview (virtual or in-person)
The advanced certificate in data science at Monroe University combines practical tools with applied projects through its online delivery system. The program offers students practical experience through its industry connections and faculty guidance while providing access to big data and artificial intelligence resources.
Monroe University offers an online advanced certificate program in data science which serves as a perfect training path for professionals who want to switch career fields or advance their data science supervisory positions. The program provides a flexible accredited educational path which develops professionals into industry experts through its applied learning approach to big data technologies and machine learning and artificial intelligence systems.
