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Business Analytics Practicum - Spring 2025

INFO 588-91
Open Closing on December 14, 2024
Montclair State University
Montclair State University
Montclair, New Jersey, United States
Rashmi Jain
Professor
(7)
5
Timeline
  • January 18, 2025
    Experience start
  • May 6, 2025
    Experience end
Experience
15 projects wanted
Dates set by experience
Preferred companies
Anywhere
Any company type
Any industries
Categories
Machine learning Data visualization Data analysis Data modelling Data science
Skills
business analytics preparing executive summaries analytical techniques project charter operations big data dashboard
Learner goals and capabilities

Beginning in January 2025, student consultants from the Master of Science in Business Analytics program will work with your organization to identify and formulate a business problem that can be addressed using the analytical approaches that have been covered in this degree program.


This course is designed to provide an experiential opportunity for the students to apply their Business Analytics skills in solving a real business problem. In this course, students will work on a collaborative group or individual project that addresses, ideally, a live business problem using the analytical techniques learned in the other courses comprising this major.


Students will clearly articulate the business problem and the goals of their chosen analytical approach. They will have access to realistically big data and an opportunity to appreciate, through an application, the possibilities and limitations of these analytical techniques. Students will be placed in companies and expected to understand and communicate the business implications of their analysis to interested stakeholders. Companies are welcome to take on more than one student team.

Learners
Graduate
Beginner, Intermediate levels
75 learners
Project
20 hours per learner
Educators assign learners to projects
Teams of 5
Expected outcomes and deliverables

Benefit from authentic collaboration with students to breathe new life into your organization.

Final deliverables may include, but are not limited to:

  • Requirements Analysis
  • Market Research
  • Business process and operations analytics
  • Optimization of operations
  • Governance structure
  • Pricing Analytics
  • Demand forecasts
  • Market forecasts
  • Development of dashboards and predictive model
  • A final presentation, executive summary, report of recommendations, project charter
Project timeline
  • January 18, 2025
    Experience start
  • May 6, 2025
    Experience end
Project Examples

Potential topics, activities, and research projects may include but are not limited to:

  • Organizing and leading an analysis project, including defining business objectives, scope, and metrics, aligning stakeholders, securing data, and other resources.
  • Writing and winning approval for a project charter.
  • Applying the basic techniques of data extraction, transformation, and preparation, as applied to large data sets in the context of a live business problem.
  • Choosing and using analytical and visualization techniques and appropriate software in the solution of a live business problem.
  • Communicating clearly using visualization tools to a business audience the business problem addressed through the data analytics technique, the results that it produces, and the implications of these results for your organization's different functions, including any ethical implications.
  • Situating your project within a larger business context, data strategy, and governance process for the organization.
  • Recommending plans and implementation that will benefit the organization.
  • Articulating a business problem or challenge and translating it to an analytical framework.
  • Managing and utilizing big data: sources, methods, challenges, and opportunities. Implement popular techniques (using appropriate software) to analyze structured and unstructured data and draw useful business inferences.
  • Understanding the capabilities and limitations of analytical techniques and select the most appropriate technique for the business problem at hand.
  • Applying analytical techniques to a live business situation and craft practical recommendations.
  • Presenting analytical results that are clear, useful, visual, and appropriately framed for the problem.
  • Understanding and communicating the business implications of their analysis to interested stakeholders and decision-makers.
Companies must answer the following questions to submit a match request to this experience:

Be able to conduct weekly remote/zoom meetings with the students team

Be willing to spend the time and have the interest in providing guidance to the students

Be available for a phone call with the instructor to initiate your relationship and confirm that your project scope is appropriate for the course.

Provide a contact person who will be available to respond to periodic emails or phone calls throughout the project to answer students' questions.

Please provide a brief description of the data set learners will be working with. Include information on the size of the data set and how you will share it.

Are the learners required to use any particular platform, environment, language, etc. to work with the data? If yes, please provide specifics below.

What, if any, data security specifications will be required of any device on which this data is stored/analyzed?

Will learners be required to sign any agreement to access the data? For example IP release or NDA? If so, please attach a copy.