Master of Business Administration with a concentration in Applied Business Analytics online

Transform big data into actionable strategies and solutions, as you advance in the field of information technology leadership. This online program combines career-relevant insights and cutting-edge tech skills.

Apply by: 4/25/23
Start class: 5/15/23

Program Overview

Preview the Applied Business Analytics MBA online.

$14,835 Total Tuition
As few as 12 months Duration
30* Credit Hours

Amplify the usefulness of big data by learning how to understand, interpret, and apply it to a wide variety of business solutions and processes. The online Master of Business Administration with a concentration in Applied Business Analytics gives you in-demand, quantitative expertise, along with enhanced critical reasoning and leadership competencies.

In this online MBA business analytics program, build your understanding of statistical concepts and learn how to use descriptive, predictive, and prescriptive analytics to extract actionable insights from data to support strategic decision-making. Gain familiarity with software development, programming, data mining, and artificial intelligence, using programming languages such as Python™ and R.

As a graduate of this program, you will be able to:

  • Understand statistical concepts; descriptive, predictive, and prescriptive analytics models; test hypotheses; and use data visualization tools to make presentations using data visualization
  • Apply programming principles and use Python and R to develop business solutions
  • Gain insights into machine learning, artificial intelligence, and AI-enabled business processes
  • Utilize data mining and data warehousing to gain critical business insights and develop strategies for business growth
  • Understand statistical concepts; descriptive, predictive, and prescriptive analytics models; test hypotheses; and use data visualization tools to make presentations using data visualization
  • Apply programming principles and use Python and R to develop business solutions
  • Gain insights into machine learning, artificial intelligence, and AI-enabled business processes
  • Utilize data mining and data warehousing to gain critical business insights and develop strategies for business growth

Career opportunities:

  • Business Insights & Analytics Manager
  • Manager of Strategy & Analytics
  • Chief Technology Officer
  • Business Intelligence Analyst
  • Analytics Manager
  • Business Insights & Analytics Manager
  • Manager of Strategy & Analytics
  • Chief Technology Officer
  • Business Intelligence Analyst
  • Analytics Manager

Also available:

William Paterson University offers a variety of specialized MBA concentrations. Check out all of our online MBA programs.

$14,835 Total Tuition
As few as 12 months Duration
30* Credit Hours
AACSB logo

William Paterson University’s Cotsakos College of Business is accredited by The Association to Advance Collegiate Schools of Business (AACSB International).

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Need More Information?

Call 833-960-0139

Call 833-960-0139

Tuition

See how easy it is to afford an MBA.

MBA online programs from William Paterson University offer affordable, pay-by-the-course tuition. All fees are included in the total tuition.

Tuition breakdown:

$14,835 Total Tuition
$494.50 Per Credit Hour

Tuition breakdown:

$14,835 Total Tuition
$494.50 Per Credit Hour

Calendar

Add these deadlines to your calendar.

William Paterson University online programs are delivered in an accelerated format ideal for working professionals, conveniently featuring multiple start dates each year.

Now enrolling:

4/25/23 Apply Date
5/15/23 Class Starts
TermStart DateApp DeadlineDocument DeadlineRegistration DeadlineTuition DeadlineClass End DateTerm Length
Spring II3/20/232/28/233/6/233/13/233/15/235/7/237 weeks
Summer I5/15/234/25/235/1/235/8/235/10/237/2/237 weeks
Summer II7/10/236/20/236/26/237/3/237/6/238/27/237 weeks
Fall I9/5/238/15/238/21/238/28/238/30/2310/22/237 weeks
Fall II10/30/2310/10/2310/16/2310/23/2310/25/2312/17/237 weeks

Now enrolling:

4/25/23 Apply Date
5/15/23 Class Starts

Have questions or need more information about our online programs?

Ready to take the rewarding path toward earning your degree online?

Admissions

Preview the admission steps for the Applied Business Analytics MBA online.

At William Paterson University, we’ve streamlined the admission process to help you get started quickly and easily. Please read the requirements for the MBA with a concentration in Applied Business Analytics online, including what additional materials you need and where you should send them.

The requirements include:

  • Undergraduate degree from an accredited institution
  • Transcripts from all colleges and universities previously attended
  • GPA of 2.75 or higher
  • Resume detailing professional experience

You must meet the following requirements for admission to this MBA online program:

  • Submit online application and $50 application fee
  • Bachelor's degree from an accredited university
  • Professional resume detailing educational and work experience
  • Cumulative undergraduate GPA of 3.0 or higher OR
    • Cumulative undergraduate GPA of 2.75+ with 2 years of work experience in a professional supervisory capacity OR
    • Cumulative undergraduate GPA of 2.75+ and a minimum score of 500 on the Graduate Management Admission Test (GMAT) or a minimum score of a 152 verbal and a 152 quantitative on the Graduate Record Examinations (GRE)
  • Official transcripts from all colleges and universities attended

Official transcripts, test scores, and other documents should be sent from the granting institutions to:

Email address: [email protected]

Mail address:

Office of Graduate Admissions and Enrollment Services
William Paterson University
Morrison Hall 102
300 Pompton Road
Wayne, NJ 07470

Courses

Take a look at the courses in the Applied Business Analytics MBA online.

For the MBA with a concentration in Applied Business Analytics online, you must complete 15 credit hours of core courses (including a capstone course) and 15 credit hours of concentration courses. Students without a “B” or better in pre-requisite undergraduate business foundation courses may be required to complete up to nine additional credits; students can start the MBA core while taking these courses.

Students without a “B” or better in pre-requisite undergraduate business foundation courses may be required to complete up to nine additional credits; students can start the MBA core while taking these courses.
Duration: 7 weeks
Credit Hours: 1.5
This course will help students to develop a comprehensive analysis of the micro and macroeconomic forces that shape and modify our economy. Supply and Demand, Revenue and Cost, wages, employment, regulations and taxation are discussed as they affect production, consumption, investment, trade, prices, quantities, profits, inequality, and the economy as a whole.
Duration: 7 weeks
Credit Hours: 3
This course includes the principles of programming and software development using Python programming language. This class emphasizes the applications of computer programming based on real-life examples in various fields of business including Business Analytics, Management, Marketing, Finance, among others. Upon completion of the course, students will be able to understand computational concepts in addition to the fundamentals of the Python programming language. In addition, this course will cover the manipulation and use of data to solve businesses problems. In this course, students will be introduced to software packages for data manipulation and development of solutions to statistical and mathematical problems. In addition, we will apply machine learning and statistical methods to data obtained from online sources.
Duration: 7 weeks
Credit Hours: 3
This course covers two related topics in the age of big data and knowledge discovery: data warehousing and data mining — their concepts, principles, and techniques. Topics in data warehousing include data warehouse/data mart architecture; multi-dimensional model design; extracting, transforming, and loading strategies. Topics in data mining range from statistics to machine learning; including techniques of clustering, association rules, and classification. OLAP (On-Line Analytical Processing) applications and business intelligence are also introduced.
Duration: 7 weeks
Credit Hours: 3
This course is designed to provide a broad overview of machine learning concepts and applications aimed at automating and advancing analytics performance. The course distinguishes itself by anchoring its content on big data phenomena and thus domain knowledge, technology, and math are integrated throughout the course. The course covers five broad segments of topics in machine learning driven analytics: Fundamentals (Algebra, Matrices, and Probability for ML), algorithms (Optimization Techniques), supervised learning, unsupervised learning, and managerial application (Thought Leadership and usage of ML in big-data analytics). This course provides a unique balance between theory and application along with data driven cases — thus it aims to impart expert skills along with encouraging thought leadership. An integral part of machine learning analytics is the use of IT tools to support the organization and analysis of data — hence the students will learn to apply various machine learning analytics tools including R.

*Students without pre-requisite foundation courses may require additional credits.

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