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Uday Jha

faculty

Uday Jha

Associate Teaching Professor

Decision & Information Sciences

Contact

508-999-8350

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Charlton College of Business 204

Education

2017Rochester Institute of Technology, Rochester, NYMS Applied Statistics
2012ICFAI University, Tripura, IndiaMaster Aviation Management
2009Madurai Kamaraj University, Madurai, Tamil Nadu, IndiaMS Physics
2007ICFAI University, Tripura, IndiaMS Mathematics

Teaching

  • Applied Decision Techniques
  • Supply Chain Management
  • Introduction of Business Analytics

Teaching

Programs

Teaching

Courses

Examines both descriptive and inferential statistics as applied to business. Topics include graphical and tabular methods of data presentation, probability theory and distributions, hypothesis testing, analysis of variance, regression and forecasting. Emphasis is placed on concepts, applications, and the proper use of statistics to collect, analyze, and interpret data. Throughout this course students will use computer software to perform statistical analyses. Students will learn how to make decisions using facts and the techniques of data analysis. Students will also use the internet to supplement classroom learning.

Data analytics to describe, predict, advise decision-making, & improve business performance. The student will learn how to analyze business problems using a quantitative decision-making approach. This course focuses on methods, descriptive/predictive models for decision-making, & possible actions that would profit from analysis & results examined in a business context. This course is required of all undergraduate business majors.

A case study approach involving the following statistical concepts: descriptive statistics, probability, sampling, probability distribution, statistical estimation, chi-square testing, analysis of variance and simple regression-correlation analysis.

A case study approach involving the following statistical concepts: descriptive statistics, probability, sampling, probability distribution, statistical estimation, chi-square testing, analysis of variance and simple regression-correlation analysis.

Teaching

Online and Continuing Education Courses

Examines both descriptive and inferential statistics as applied to business. Topics include graphical and tabular methods of data presentation, probability theory and distributions, hypothesis testing, analysis of variance, regression and forecasting. Emphasis is placed on concepts, applications, and the proper use of statistics to collect, analyze, and interpret data. Throughout this course students will use computer software to perform statistical analyses. Students will learn how to make decisions using facts and the techniques of data analysis. Students will also use the internet to supplement classroom learning.
Register for this course.

Data analytics to describe, predict, advise decision-making, & improve business performance. The student will learn how to analyze business problems using a quantitative decision-making approach. This course focuses on methods, descriptive/predictive models for decision-making, & possible actions that would profit from analysis & results examined in a business context. This course is required of all undergraduate business majors.
Register for this course.

A case study approach involving the following statistical concepts: descriptive statistics, probability, sampling, probability distribution, statistical estimation, chi-square testing, analysis of variance and simple regression-correlation analysis.
Register for this course.

Data analytics to describe, predict, advise decision-making, & improve business performance. The student will learn how to analyze business problems using a quantitative decision-making approach. This course focuses on methods, descriptive/predictive models for decision-making, & possible actions that would profit from analysis & results examined in a business context. This course is required of all undergraduate business majors.
Register for this course.

A case study approach involving the following statistical concepts: descriptive statistics, probability, sampling, probability distribution, statistical estimation, chi-square testing, analysis of variance and simple regression-correlation analysis.
Register for this course.

A case study approach involving the following statistical concepts: descriptive statistics, probability, sampling, probability distribution, statistical estimation, chi-square testing, analysis of variance and simple regression-correlation analysis.
Register for this course.

Research

Research activities

  • High Dimensional Multicollinear Datasets

Research

Research interests

  • Big Data
  • Business Analytics

Select publications

Uday Kant Jha holds an MS in Applied Statistics from Rochester Institute of Technology, Rochester, NY and an MS in Physics from Madurai Kamaraj University, India. He also holds an MS in Mathematics and a Master Aviation Management from the ICFAI University, India. He joined the University of Massachusetts Dartmouth for Charlton College of Business as a full-time lecturer in Fall 2016. He has been extremely active in advising undergraduate students. Uday Jha has had a very prominent presence at the college level with service. He is a faculty advisor for Data Fest, an annual event sponsored by American Statistical Association for students of Business and Computer Science. Uday Jha is an internship coordinator for the students of Decision & Information Sciences (POM). He has also served as the Graduate Program Director for the students of MS Technology Management during the Summer of 2023.