Certificate in Business Analytics at New Jersey Institute of Technology

The graduate certificate's narrow focus allows you to dig deep into this specific topic, and start applying your knowledge sooner. It is possible to earn this certificate entirely through online courses, so you can more easily fit it into your busy life. And whether you take courses online or on campus you'll learn from NJIT's distinguished professors and instructors from the School of Management.

• The management of information processing resources, including: role of information processing, estimates of personnel resources and budgets, integration of corporate and MIS plans, organizational alternatives for MIS departments and support staffs, management of computer operations, equipment and general software acquisitions, intermediate and long-range MIS plans, integration of personal computers, minicomputers, and mainframes, and security and controls.

• The use of decision support systems to support management decision making in a real world environment. Decision support systems success criteria, software tools, model management, elements of artificial intelligence, and statistics. Justification, design, and use of decision support systems.

• Descriptive statistics, summary measures for quantitative and qualitative data, data displays. Modeling random behavior: elementary probability and some simple probability distribution models. Normal distribution. Computational statistical inference: confidence intervals and tests for means, variances, and proportions. Linear regression analysis and inference. Control charts for statistical quality control. Introduction to design of experiments and ANOVA, simple factorial design and their analysis.

• Data mining with an emphasis on large scale databases as a source of knowledge generation and competitive advantage.Decision Support Systems which covers the use of decision support systems to support management decision making in a real world environment.

• The methodology of decision analysis using computer based techniques and systems analysis.

• Modeling frameworks such as regression analysis, forecasting, Monte-Carlo simulation and optimization; and it illustrates how to apply these frameworks in financial contexts such as portfolio management, term-structure estimation, capital budgeting, risk measurement, risk analysis in discounted cash flow models, and pricing of European, American, exotic, and real options.

• The flow of products, information and revenue across supply and value chains in organizations, especially in emerging e-business models and their effects on supply and value chains, and customer relationship management.

• Introduction to concepts of project management and techniques for planning and controlling of resources to accomplish specific project goals, including time, cost considerations, cash flow forecasting, financial and performance control, documentation.