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Data Forecasting and Mining Concentration

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.

Why Data Forecasting and Mining?

Learn to create systems and processes for data collection, mining, and forecasting to improve business decision-making.

Concentration Description

This concentration prepares students to utilize collected data to make predictions and discern in them patterns of objects being observed. Statistical analyses, along with forecasting and data mining techniques will be taught. Classroom teaching will be combined with software use.

Courses

Business Data Management

This course provides students with an understanding of database technology and its application in managing data resources. The conceptual, logical, and physical design of databases will be analyzed. A database management system will be used as a vehicle for illustrating some of the concepts discussed in the course.

  • Course Number: 22:198:603
  • 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 Analyst, Data Engineer, Systems Administrator, Database Administrator, Data Manager, Business Analyst, Business Intelligence Specialist

Information Technology for Managers

The objective of this course is to study management’s role in the development and use of information systems that help businesses achieve their goals and objectives. This course will let students use a real software product, understand how it is developed, and how it is helping real business enterprises in achieving productivity and value. Students will learn the architecture, development methodologies, marketing infrastructure, support mechanisms, database interfaces, server security, and management issues as related to the software, customer interface, and documentation techniques. Extensive case studies will be used. Writing and presentations are major components. A professionally developed and publishable paper is due from each group of students.

  • Course Number: 22:198:609
  • 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: IT Manager, Data Manager, Information Systems Manager, Information Technology Director, Network Architect, Chief Information Officer, Chief Information Security Officer

IT Strategy

Over the last few years Information Technology (IT) teams have evolved and continue evolving to establish IT organizations as business strategic partners, and CIOs and technology leaders are now included in the executive teams and are expected to play a leading role in delivering business value while solving both business and technical problems. Companies are increasing their investments in acquiring and maintaining information on themselves, the markets and on competitors, and they need systems and IT teams to enable a strategic use of the information that makes it a business asset to the organization. Developing and executing an effective Information Technology strategy that enables business strategy is critical for creating business value and gaining competitive advantage. This Course presents a framework and methodology for assessing, developing and implementing an effective IT strategy that is aligned with business needs. The course will be a combination of directed readings, lectures, case studies, one individual assignment and one group project.

  • Course Number: 22:198:670
  • 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: IT Manager, Data Manager, Information Systems Manager, Director of Information Technology, Network Architect, Chief Information Officer, Chief Information Security Officer

Data Mining

Recent advances in information technology along with the phenomenal growth of the Internet have resulted in an explosion of data collected, stored, and disseminated by various organizations. Because of its massive size, it is difficult for analysts to sift through the data even though it may contain useful information. Data mining holds great promise to address this problem by providing efficient techniques to uncover useful information hidden in the large data repositories. Awareness of the importance of data mining for business is becoming widespread. The industry has created more and more job opportunities for people who have interdisciplinary data analytic skills. Indeed, this course intends to bridge the gap between data mining techniques and business applications. The students have the opportunity to learn both domain and technical knowledge to face the Big Data challenges in the industry.

  • Course Number: 22:198:650
  • 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

 

Earn your Masters. The Data Forecasting and Mining Concentration is stackable with: Master of Information Technology and Analytics, MBA

Sample Relevant Careers: Data Scientist, Demand Forecasting Analyst, Forecasting Planner, Demand Forecasting Manager, Demand Forecasting Analyst, Data Analyst, Business Analyst, Business Intelligence Specialist, Quantitative Researcher

How to Apply

Learn about the admissions process and requirements to apply.