Business Analytics (M.S.)
Available on-campus in Beverly, Mass. or 100% online.
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Program Overview
Master of Science in Business Analytics (30 credits)
Designed for working professionals with a knack for numbers and passion for data-driven decision making, our business analytics program is tailor-made for individuals who aspire to leverage analytics in business. This program is designed for students who
- have been working for at least two years.
- are looking to advance their expertise in business analytics and data-driven business strategy.
- want to take advantage of accelerated classes (six weeks long).
- want to study with real-world practitioners.
Program Highlights Include:
- Flexible, accelerated classes
- Complete your degree in two years
- International Study class option
- Classes are available fully in-person in Beverly, Mass., or 100% online
Information for International Students
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Admission Requirements
Admission procedures and requirements for our master's programs.
Admission to an Endicott College graduate program requires a bachelor’s degree from an accredited college.
General Application Requirements for all Master's Programs
To be considered for admission to one of Endicott's master's programs, you must submit the following materials. Alternatively, you may submit the following to: Endicott College, 376 Hale Street, Beverly, MA 01915.
- Completed online application and non-refundable $50 application fee (check made payable to Endicott College). Application fee waived for Endicott Alumni and veteran & military students.
- One letter of recommendation.This recommendation can be from either a professional or academic reference.
- Official transcripts of all post-secondary academic work should be sent directly from the institution(s) including confirmation of undergraduate degree, date confirmed, and any other graduate work.
- Personal statement. Please include an essay of 250–500 on career goals and motivation for graduate study.
- Current resume or CV.
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Curriculum
Curriculum Requirements - Total Credits Required: 30
Core Course Requirements - 18 Credits
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BUA 532 - Quantitative Methods for Decision Makers (Cr: 3)
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ITS 512 - Introduction to Python (Cr: 3)
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ITS 521 - Machine Learning for Business (Cr: 3)
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ITS 544 - Database Management (Cr: 3)
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ITS 570 - Business Intelligence and Data Mining (Cr: 3)
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MKTG 525 - Advanced Data Analytics and Visualization (Cr: 3)
Elective Requirements - 12 Credits
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BUA 515 - Managerial Finance and Decision Making (Cr: 3)
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HCMT 552 - Healthcare Analytics (Cr: 3)
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ITS 522 - Text Mining and Natural Language Processing (Cr: 3)
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ITS 527 - Big Data Technologies (Cr: 3)
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ITS 585 - Internship/Field Study Seminar (Cr: 3)
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ITS 586 - Internship/Field Study Seminar II (Cr: 3)
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MKTG 527 - Marketing and Social Media Analytics (Cr: 3)
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OPMT 570 - Analytics for Logistics and Distribution Management (Cr: 3)
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OPMT 580 - Global Supply Chain Management (Cr: 3)
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PMGT 512 - Business Analysis Techniques Used in Project and Program Management (Cr: 3)
Learning Outcomes
Upon completion of the program students will be able to:
- Apply advanced analytical techniques to solve complex business problems and identify opportunities for growth and optimization.
- Use programming languages like Python and R to manipulate, analyze, and visualize large datasets.
- Develop predictive models and machine learning algorithms to forecast trends, predict outcomes, and optimize business processes.
- Effectively communicate data-driven insights to technical and non-technical stakeholders using data visualization and storytelling techniques.
- Demonstrate a deep understanding of the latest trends, tools, and best practices in business analytics.
View academic catalog and learning outcomes -
BUA 532 - Quantitative Methods for Decision Makers (Cr: 3)
MSBA Statistics
$95,000
average salary for management analyst positions
96,000
new jobs*
*From 2022-32, according to the U.S. Bureau of Labor Statistics
10%
projected job growth, faster than the average for all occupations*
*From 2022-32, according to the U.S. Bureau of Labor Statistics