Yes! Tell me more about Merrimack’s Business Analytics degree!
Online Masters in Business Analytics
DEVELOP APPLICABLE SKILLS, NOT JUST THEORY.
Spend your time developing applicable skills you can use on the job the next day. The online Master of Science in Business Analytics degree from Merrimack College teaches students to solve problems and visualize data sets using the latest industry tools and analytical methods.
This business analytics degree is offered through a unique collaboration between the School of Science & Engineering and the Girard School of Business. Professors from both schools combine to help you learn to develop engineering skills needed to function as a business analyst along with the business acumen needed to translate data sets into actionable insights that can be presented to stakeholders.
The projects and assignments in the program curriculum were designed with input from an industry council to ensure that graduates are equipped with the business analytics skills that employers need. Be ready to meet the demands of a career in business analytics.
Merrimack College’s online Master of Science in Data Science and Master of Science in Business Analytics programs have been named in the Top 50 Best Value Online Big Data Programs 2018 by ValueColleges.com. Coming in at number 10 out of 50 programs, Merrimack’s top ranking was based on mid-career salary potential, U.S. News & World Report ranking, and program tuition.
Source: Bureau of Labor Statistics, U.S. Department of Labor, Occupational Outlook Handbook, 2016-17 Edition & Glassdoor.com, Obtained April 2017
Where Can Your Business Analytics Degree Take You?
Potential career paths for graduates of the Master of Science in Business Analytics include:
Senior Business Analyst
Business Systems Analyst
Sr Data Analyst
Source: PayScale.com, Obtained May 2017
Business Analytics Career Insights
Discover the Merrimack Difference
What Skills Will You Develop With a Business Analytics Degree?
To earn your Master of Science in Business Analytics degree, you will complete the 8 courses listed below for a total of 32 credit hours. These courses help guide your advancement throughout the program as you improve through foundational, intermediate, and advanced program levels. Classes are offered through a collaboration between the School of Science & Engineering and the Girard School of Business ensure your skills in both coding/development and business are aligned as you learn. Students can finish their master’s degree taking courses over a period of 12-16 months.
Foundational Courses
Intermediate Courses
Advanced Courses
The goal of this course is to introduce students to the dual role and the dual benefit of dependence-focused multivariate statistical modeling techniques, commonly used in estimating the likelihood of outcomes of interest, and delineation of the key drivers of those outcomes. The former, often referred to as ‘predictive analytics,’ is focused on making forward-looking predictions, while the latter, commonly referred to as ‘prescriptive analytics,’ is geared at delineating and describing factors contributing to those predictions. The course is focused on developing rudimentary understanding of those two broad data analytical dimensions, and on introducing students to some of the more widely used predictive and prescriptive statistical techniques, including linear and logistic regression models, decision trees, as well as some of the more recent, machine learning focused techniques such as random forest.
This course introduces students to the fundamental conceptual, operational and experiential aspects of automated data mining approaches and techniques, focusing primarily on the use of pattern recognition algorithms to address common business problems involving classification and prediction. In this course students develop basic theoretical and experiential knowledge of supervised and unsupervised data mining approaches, framed in the context of the common data mining related challenges including dimensionality, regularization, overfitting and generalization. Various pattern and association rules and pattern discovery modes are also addressed, including compressed, sequential and spatial patterns, as well as multi-level and multi-dimensional associations. Lastly, common data mining applications, including clustering and prediction, are discussed and illustrated.
Capstone
This course is the culmination of students’ learning – its intent is to offer students opportunities to apply the knowledge acquired in the program, in a directed, hands-on setting. As such, the course is a practicum built around solving applied industry data analytical problems, using available raw data. While substantial data processing, preparation, and outcome estimation guidance is offered throughout the course, the course does not encompass formal lectures, pre-determined assignments or examinations; instead, student’s performance in the Capstone course is based solely on successful completion of an assigned, student-specific project.
“As a new manager with expanding responsibilities at times I’m faced with resource constraints. The Data Science program has given me the ability to support my team by taking on some of the analytic work when we have resource constraints. Not only am I gaining a greater understanding of analytics, but I am able to apply my new knowledge every day in the workplace.”
Yes! Tell me more about Merrimack’s Business Analytics degree!
MERRIMACK COLLEGE ACCOLADES
At Merrimack College, we’re proud of our long history of providing quality degrees to students entering the job market. Our faculty are more than just teachers. We are committed to helping you grow — academically, personally and spiritually — so that you may graduate as a confident, well-prepared citizen of the world.
- Top 50 Best Value Online Big Data Programs 2018 by ValueColleges.com
- Money magazine 2019 Most Transformative College
- U.S. News & World Report 2020 #46 Best Regional Universities/North
- U.S. News & World Report 2020 Top 10 Most Innovative School Regional Universities/North
- The Princeton Review 2020 Best Regional College
- Transitioning Athletics to Division 1 and joining the Northeast Conference in 2019-20
