Master of Science in Business Analytics and Data Science

The NJCU School of Business at New Jersey City University has launched a new Master of Science degree program in Business Analytics and Data Science designed to prepare students for careers in the burgeoning field of data analytics. The Master of Science in Business Analytics and Data Science program will prepare students with the skills needed to gather, store, analyze and interpret large amounts of "Big Data" to facilitate informed business decision making.

Data analytics is an area of strong employment growth. A recent study by McKinsey Global Institute projects approximately 500,000 jobs requiring data analysis skills by 2018, with a projected shortage of approximately 190,000 jobs. The NJCU School of Business program enables graduate students with an interest in analytics to focus their studies on techniques suitable to specific business disciplines such as finance, marketing, logistics, and accounting.

About This Degree

The Master of Science degree program in Business Analytics and Data Science is designed to prepare students for careers in the burgeoning field of data analytics. The program will develop the skills needed to gather, store, analyze, and interpret large amounts of “Big Data” in order to facilitate informed business decisions. Students may elect to further focus their studies on techniques suitable to specific business disciplines such as finance, marketing, logistics, and accounting. The curriculum also supports the content of the Certified Analytics Professional (CAP) examination.

Application Deadlines*

Domestic Applicants:

International Applicants:

*Deadlines are subject to change. Deadline extensions may be granted on a case by case. Please contact Graduate Admissions for more information [email protected].

Prerequisite Requirements

The 33-credit course of study assumes an undergraduate degree and/or work experience in business, technology, or related disciplines. Depending on background and focus, students may be required to take the following prerequisites:

• BUSI 599 Graduate Business Essentials (9 credits)

Similar graduate courses from other institutions may be accepted with the approval of the program coordinator.

Pre-Requisite Courses (As Required):

• BUSI 599 Graduate Business Essentials, 9 credits

Required Core Program Courses: 24 credits

• FINC 514 Introduction to Business Analytics and Data Science, 3 credits
• FINC 515 Programming for Business, 3 credits
• FINC 520 Statistical and Mathematical Methods for Data Science, 3 credits
• FINC 530 Machine Learning for Business I, 3 credits
• FINC 535 Data Management, 3 credits
• FINC 550 Experimental Design, 3 credits
• FINC 560 Data Visualization and Communication, 3 credits
• FINC 565 Time Series Modeling and Experimental Design, 3 credits

Required Electives: 6 credits

• Elective Course: Advisor Permission, 3 credits
• Elective Course: Advisor Permission, 3 credits

Capstone Requirement:

• FINC 781 Capstone Project in Data Science, 3 credits

Total Minimum Credits: 33

Program Description

Two Meeting Patterns:

• 16 month accelerated program
• 2-year part-time program

In addition to being offered as a flexible full-time/part-time program spread over four or more semesters, the Master of Science features a cohort-based accelerated 16-month immersion program meeting on Friday evenings and all day Saturdays.

The M.S in Business Analytics and Data Science program will be fully geared towards practice. Students learning experiences will be grounded in real-world contexts. Students will learn analytical skills and use software tools that are currently popular in the industry, to find solutions to business data analysis problems that are commonly encountered in practice. Students will also learn the ethical responsibilities of working with large amounts of data, which in many cases could be private. Graduates of the program will be thoroughly prepared to take on the role of a data scientist in the industry.

The Master of Science in Business Analytics and Data Sciences will require the completion of 33 credits (9 core courses and 2 electives). The electives allow students to explore more specialized topics in business analytics and data science. The program culminates in a capstone project that applies the knowledge gained to real-world data science problems.