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Graduate Program Certificate:
Business Analytics

Learn how to decipher data to make more informed business decisions.

How can you best use social media to connect with potential customers? What behaviors fuel purchase decisions? How can you spark a meaningful dialogue with a new generation of customers?

One of the most in-demand skill sets in 21st century business is the ability to uncover new opportunities, insights, and strategies through the analysis of business data. The Business Analytics Certificate takes a deep dive into the analytic mindset, giving you an in-depth look at the quantitative methods and cutting-edge analytics software tools used for strategic, data-driven decision-making, including:

Knowledge in business analytics is an in-demand asset for nearly every industry and economic sector.

Careers in Business Analytics

$ 0
Data Scientist
Median Salary
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Data Engineer
Median Salary
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Analytics Manager
Median Salary
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Database Administrator
Median Salary

Source: Indeed (2023)

Required Courses

Analytic competency is becoming tremendously important in the business world and is often the factor that distinguishes leading firms in any industry.  This course is intended to provide an introductory overview of how firms implement data-driven decision-making.  Students will learn statistical concepts, use spreadsheet modeling and learn through a mix of lectures, cases and class discussion.  Students are required to have a functioning computer with Microsoft Excel installed.  Within Excel, you must have DATA ANALYSIS and SOLVER functionality.  The course's primary goal is to coach students on "fact-based decision making" and enable them to carefully plan and run "business experiments" to make informed managerial decisions.

This course focuses on the design and management of the data resources of an organization and the extraction of business intelligence from the data for managerial decision making. The basic concepts and techniques of data management and mining data will be examined with real-world examples and cases to place these techniques in proper context. The Data Management module covers the fundamentals of robust data models, management of data resources, and the retrieval of data using SQL/NoSQL. The Business Intelligence module focuses on the concepts and applications of various data mining models such as classification and clustering, and provides an overview of machine learning. The course delivers adequate technical detail with hands-on training, while emphasizing potential interpretation, organizational, and implementation issues relevant to managers. Topics include conceptual data modeling, database management, structured query language, business intelligence, classification, clustering, and introduction to machine learning. Prerequisite: Business Analytics 53:716:502.

This course focuses on the design and management of the data resources of an organization and the extraction of business intelligence from the data for managerial decision making. The basic concepts and techniques of data management and mining data will be examined with real-world examples and cases to place these techniques in proper context. The course delivers adequate technical detail with hands-on training, while emphasizing the interpretation, organizational and implementation issues relevant to managers. Prerequisite: 53:716:502 Business Analytics

Electives include the following courses, among others:

  Financial Data Analytics 

  Data Analytics and Visualization 

  Supply Chain Analytics   

  Customer Analytics

Consult your advisor for additional options.

Alternative courses can be considered in certain circumstances. Permission of the Program Director or Associate Dean for Graduate Programs is required. Contact your graduate academic advisor.

* To earn a certificate, the student must complete all required courses in the associated program in which they were admitted.  A student cannot earn three or more grades of C (including C+) or a single grade of F on her or his record. An overall cumulative grade-point average of 3.0 is required for certificate completion.

Questions?

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BLDP Executive Shadowing Application v2

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Student Information

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Shadowing

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Signatures

If I am chosen and matched with an executive, I will follow through and prepare a one-page report giving honest feedback about the experience. The written summary is due by the start of the next semester. By typing my name in the box to the right I am offering my digital signature in lieu of my handwritten signature.

After the shadowing event, I will write a personal thank you letter to the executive and copy Dr. Kaufman-Scarborough and Ms. Bridget Britton for their records. By typing my name in the box to the right I am offering my digital signature in lieu of my handwritten signature.

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After notified of a match, students are responsible for providing personal information to the matched executive (e.g., current resume and cover letter with information on career ambitions). The information on this application is for internal use only, for us to match you as well as possible with and executive from among our alumni database.

BLDP Application

The Spring 2023 Application is now open! 

Priority will be given to applications received by November 18. Applications are accepted until all seats are filled. Space is limited, so apply early!

The seminar application process is our gateway for entry into the program. Upon acceptance into BLDP, students will be emailed their acceptance letter plus a special permission number allowing registration for the BLDP seminar.

Requirements

Seminar applications are solicited each semester and require the following:

  1. Completed application form (at the bottom of this page),
  2. For students with GPA 3.0 – 3.49, two (2) letters of recommendation (one academic; one other)

Rutgers-Camden students are invited to apply to apply for enrollment in the BLDP seminar. All applicants are expected to meet both of the following selection criteria:  (1) have sophomore standing or above and (2) have an overall GPA of 3.0 or above. First-semester transfer students will be evaluated based on their GPA earned at Rutgers. Students who fail to meet these admission criteria may still be allowed to apply for (and possibly enroll in) the BLDP seminar, but they will be evaluated on a case-by-case basis.

The director balances evaluations to make final decisions on people accepted for the seminar (up to a maximum of 15-20 each semester).

Students who are admitted to the BDLP are required to adopt the BLDP Code of Conduct. A signed contract is required from each student.

Students may count activities toward “leadership units” that were initiated prior to taking a seminar, as long as those activities occured primarily during their enrollment in their academic program.

Application for Admission to BLDP Seminar

Applications for the BLDP Seminar will be ongoing until class is filled.

BLDP Program Application

This form is set to automatically delete an entry 180 days after it has been submitted.

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  • Contact Information

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  • Employment Information

  • List relevant employment history

  • EmployerPositionDates of Employment 
  • School Leadership Information

  • Provide evidence of leadership initiative while enrolled in school by listing all school-based organizations and activities in which you have held a leadership role while a student.

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  • Provide a list of community or volunteer activities in which you engaged in a leadership role.

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  • Statement

  • In your own words (100-350), discuss the reasons why your application should be considered for the Business Leader Development Program, including what you hope to gain from the program and what you can contribute.

  • Additional Submission Instructions

  • If you need to submit two reference letters, please email them to ldrshp@camden.rutgers.edu. Ideally, you should receive one letter from an academic source (e.g., a former or current instructor), and one from a business source (e.g., a former employer - even if for a part-time or volunteer position).

    Please only submit one application. If you experience any technical problems or need to submit the application again, please contact ldrshp@camden.rutgers.edu.

    Thank you.

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