Why Data Analytics and Machine Learning?
Learn machine learning algorithms, and statistical analysis to understand complex data, and leverage it to make informed business decisions. As part of the Rutgers Stackable Business Innovation Program (rSBI), the Data Analytics and Machine Learning Concentration is stackable with the following master's programs: Master of Information Technology and Analytics, MBA.
Concentration Description
As rapidly growing amounts of data are created and used in industry and research environments, there is an increasing demand for people who are able to pursue data-driven thinking and decision-making using meaningful insights derived from large and diverse data. This concentration prepares students to deal with situations involving data-driven decision-making such as finding patterns in large amounts of data and using such discoveries to solve data problems and make useful predictions. Students will be trained in statistics fundamentals, basic computer programming, and machine learning algorithms that tap into knowledge on both fronts.
Courses
You can take the course listed below as individual classes or as stackable courses towards the completion of a concentration.
Data Analysis and Decision Making
This course introduces statistics as applied to managerial problems. Emphasis is placed on conceptual understanding as well as conducting statistical analyses. Students learn the limitations and potential of statistics, gain hands-on experience using Excel, as well as various statistical techniques such as sampling, inference, and regression.
- Course Number: 22:960:575
- Prerequisites: Basic statistics and calculus
- Credits: 3
- Delivery Mode: In-person
- Offered By: Master of Information Technology and Analytics, MBA
- Relevant Programs: Master of Information Technology and Analytics, MBA
- Sample Relevant Careers: Data Scientist, Data Analyst, Data Engineer, Business Analyst, Business Intelligence Specialist, Quantitative Researcher, Machine Learning Engineer, Marketing Analyst, Statistician
Business Analytics Programming
This course teaches the principles of programming for business analytics using the Python and R programming languages. Programming is the fundamental skill based on which all Information Systems are built. The course provides students with a working knowledge of programming and fundamental insights into what a programmer does.
- Course Number: 22:198:660
- Credits: 3
- Delivery Mode: In-person
- Offered By: Master of Information Technology and Analytics, MBA
- Relevant Programs: Master of Information Technology and Analytics, MBA
- Sample Relevant Careers: Software Engineer, Application Programmer, Application Developer, Business Applications Developer, Business Applications Analyst, Clinical Application Programmer, Lead Application Developer, Principal Software Engineer
Machine Learning for Data Science
This course offers students a practical introduction to using Machine Learning algorithms, tools, and techniques for solving problems that fall under the umbrella of Data Science. It is structured around learning concepts from the field of Machine Learning and applying them to data-intensive problems. While the course covers theories of Machine Learning and tools such as R, the focus is on using them for solving data-driven problems. The students will be introduced to several real-life problems that involve analyzing data for prediction, classification, organization, estimations, and pattern recognition.
- Course Number: 26:198:685
- Prerequisites: Experience with programming and statistics
- Credits: 3
- Delivery Mode: In-person
- Offered By: Ph.D. program
- Relevant Programs: Master of Information Technology and Analytics, MBA
- Sample Relevant Careers: Machine Learning Engineer, Machine Learning Scientist, Data Scientist, Data Analyst, Data Engineer, Business Analyst, Business Intelligence Specialist, Quantitative Researcher, Marketing Analyst, Statistician
The concentration and courses are offered by the Management Science & Information Systems Department
Sample Relevant Careers: Data Scientist, Data Analyst, Data Engineer, Business Analyst, Business Intelligence Specialist, Quantitative Researcher, Machine Learning Engineer, Marketing Analyst, Statistician
Rutgers Stackable Business Innovation (rSBI)
The future of education is changing. The Rutgers Stackable Business Innovation (rSBI) program allows you to design your own cutting-edge curriculum to earn a standalone certificate or take courses that be transferred towards completing a Master’s degree. Working professionals can enhance their knowledge and upskill by taking relevant courses. If you are a student considering a Master’s degree, rSBI is a perfect way to test the waters in a particular discipline before committing to a full degree program. Employers can invest in the professional development of their employees and choose the courses that address business needs.
Concentrations & Courses
The Certificate in Management Science & Information Systems offers the following concentrations:
Learn More About Our Program
For more information, please complete the form below. Luke Greeley, the rSBI Program Manager, and Benjamin Melamed, Distinguished Professor, and rSBI Program Director will contact you.
rSBI Concentrations
View more of the available concentrations. Each academic department manages its own concentrations in the rSBI program.