Graduates of the online master’s in business analytics degree program will gain a game-changing combination of analytics mastery, business acumen and strategic problem-solving. Students will be prepared for success in this emerging field with a robust skill set through hands-on learning experiences including:

• Managing large and diverse data sets to identify insights and opportunities
• Mastering the modeling process that entails framing, formulating, and solving business problems
• Demonstrating proficiency in supervised and unsupervised machine learning techniques
• Data wrangling and data mining from a variety of sources to identify trends and opportunities
• Applying tools and methods for analytics life cycle process management including business problem definition, business requirements development, efficient analytics solutions deployment, monitoring, and quality control including verification
• Communicating analytical insights effectively to key stakeholders
• Applying business analytics to real-world problems
• Understanding and managing big data to identify insights and drive solutions

Our Capstone Sponsoring Supervisors have a lot to say about the way the Master’s in Business Analytics students applied their business analytics knowledge to provide insight, problem-solve, and strategize for the future:

“[The student] completed a deep dive data analytics project from beginning to end, including identifying and merging data from two systems, applying data transformation and aggregation techniques, and building a Tableau dashboard. The dashboard provides insights into what courses use the learning management system as well as how they use it at the detail level that is not available through reports and dashboards within the application.”

“[The student] helped add value and ROI to top clients through data integration and predictive analytics. She went beyond the surface level analytics and built predictive models to identify key variables affecting utilization and safety, specifically impacts. In performing this analysis, she was able to identify high-level issues with forklift operator activity across multiple sites, as well as pinpoint safety and compliance issues at the site, vehicle, and forklift operator levels. The results are expected to improve both safety and efficiency without any added costs.”

The Montclair State MS in Business Analytics STEM-designated program includes 10 core courses that provide graduates with a strong foundation in data analytics, statistical and predictive modeling, analyzing structured and unstructured data, data and Big Data management, knowledge discovery, segmentation analysis, and more. Students may choose from a Fall or Spring Term start. The program (consisting of 30 total credits, including the consulting-based Analytics Practicum) will be completed in 21 months (for a total of 5 semesters).  

Montclair State’s academic calendar spans three semesters (Fall, Spring and Summer), and each semester consists of two eight-week terms. Online students complete a 3-credit course load each term and will earn their degree in 21 months.

Dr. Stanislav Mamonov, Associate Professor, Information Management and Business Analytics

Dr. Mamonov’s expertise is in Business Analytics, Big Data, Data Mining, Intellectual Property Rights, Privacy, IT Adoption, Social Networks, Virtual Communities. His research is focused on Big Data assets and their strategic value, data governance and applied predictive modeling.

Dr. Marina E. Johnson, Assistant Professor, Information Management and Business Analytics

Dr. Johnson’s exerptise lies in Machine Learning, Metaheuristic Optimization, Statistics, Data Mining, Data Science, and Business Analytics. Her research is focused on the applications of machine learning and optimization, ranging from marketing analytics to health informatics.