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Analytics & Data Sciences

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Concentration: Analytics - Discovery Informatics & Data Sciences , New Brunswick, NJ

The Master's of Business and Science degree in Analytics prepares students for data-driven decision making. It brings together fields of data management, computer science, statistics, machine learning and data mining. Students will obtain a variety of skills including the ability to analyze large datasets, to develop modeling solutions to support decision making and a good understanding of how data analysis drives business decision making. The curriculum integrates science courses in analytics/data science with courses in business. (This is a Professional Science Master's Degree.)

There are many employment opportunities in analytics in the tri-state area/NY/NJ/PA (New York, New Jersey, Pennsylvania). This program prepares students for careers in predictive modelling, business intelligence, analytics, data mining in data-driven industries such as marketing, finance, health care, biotechnology and others.

See this blog about the different career options in Analytics and the skills needed to succeed.

Why Rutgers Master of Business and Science (MBS) in Analytics & Data Science? -->Rigorous statistics & computing courses (technical competency) -->Business Courses (for professional development) -->career coaching & opportunities -->professionally focused -->practicum project -->evening & online classes

Data Scientists: The Sexiest Job of the 21st Century, 10.2012, The Age of Big Data, NY Times 2/11/12, Drowning in Numbers, The Economist 11/18/11.."In Big Data, Potential for Big Division", NY Times, 1/12/2012, Analytics at Rutgers, WSJ 3/27/12, Big Data Analytics Masters Degrees : 20 Top Programs, Forbes 6/12/15 The New Analytics Professional

Program Requirements:

For the Master of Business & Science (MBS) degree, students take 8 courses (24 credits) in the sciences and 19 credits in business.

Business Courses (19 credits): The business requirements include courses in finance & accounting, marketing, communication & leadership, capstone, ethics and electives. Suggested electives for the analytics concentration include digital marketing, social media marketing, project management, supply chain management, and others. Click here to see the Business Course Requirements

Science Courses (24 credits): For the science courses, there are 5 required courses and 3 electives: (courses that are * are offered online. The full concentration will be offered online starting January 2017.)

Analytics  (2 courses):

Statistics (1 course):

Database Systems (1 course):

  • 17:610:557 Database Design and Management (Spring)*

Big Data Computing (1 course):

Science Electives: Suggested science electives include more courses from the above categories. Other courses can also be substituted for the core courses above.  Please see here for some suggested courses and course descriptions.

Data Science  Workshops: Students in this program are encouraged to attend the workshops in R, SAS, Stata, Python, Hadoop, that run every semester. These are open to all students in the program and run throughout the year. Please see the event list for scheduling.

Admission Requirements:

A bachelors degree in any major with a GPA of at least 3.0 (a B average) and the GRE (see also the admission requirements for the MBS.). Students must have at least 1 year of calculus (2 semesters and can be taken anywhere). Those without computing or statistics undergraduate may need to take introductory courses which can count towards the degree. You may want to consider a summer start so that the basic statistics and computing courses can be taken.  Need more information? Set up an appointment with an advisor now or attend one of our online or in person information sessions.

Basic Statistics Courses

01:960:401 Basic Statistics for Research
01:960:484 Basic Applied Statistics

Basic Computing Courses

16:137:603 Python Methodologies for Data Science  (Fall, Spring, Summer)*; 56:137:500 Essentials of Computational Science (using Python) (Fall); 16:332:503 Programming Methodologies for Numerical Computing and Computational Finance (using C++) (Fall,Spring,Summer);

(**these courses can count as electives towards the MBS degree and can be taken in the summer)

Concentration Coordinators:
This concentration is being coordinated in conjunction with the  Rutgers Discovery Institute. While most of the course are in New Brunswick, NJ, some of the courses are also available at the Rutgers Newark and Camden campuses.

Dr. Manish Parashar

Dr. Shantenu Jha

Dr. Deborah Silver

Dr. Debashis Kushary

Dr. William Pottenger

Contact us at : psminfo@docs.rutgers.edu