Plan Your Education
How to Apply
Applicants must meet general graduate admission requirements in addition to the following program-specific requirements:
- Official GMAT or GRE scores.
- A minimum, cumulative GPA of 2.75 on a 4.0 scale (or international equivalent) in all undergraduate work
- A bachelor’s degree from a regionally accredited U.S. institution of recognized standing or an international equivalent at the time of enrollment
- Official transcripts for all institutions where you have earned more than 6 credits
- Two (2) letters of recommendation
- Statement of intent essay: This statement is your opportunity to show the graduate admissions committee why you wish to pursue graduate study, as well as your specific interest and goals.
- Applicants who completed the majority of their undergraduate coursework outside of the United States are typically required to submit official TOEFL, IELTS, PTE, or Duolingo English proficiency test scores.
*Prerequisite Requirement: Students will need to have completed a statistics course, either Statistics MSIS 111 or MBAMS 630 Statistical Analysis for Managers, or an equivalent course within the last five years. Otherwise, students are required to take MBAMS 630 Statistical Analysis as part of their first semester. This course would be in addition to the required 10 courses for the degree.
Deadlines & Cost
Deadlines: April 1 (priority deadline) or June 15 (final deadline) for fall, October 1 (priority deadline) or December 1 (final deadline) for spring
Application Fee: The nonrefundable application fee is $75. UMass Boston alumni and current students that plan to complete degree requirements prior to graduate enrollment can submit the application without paying the application fee.
Estimate Your Program Cost: Get a feel for your expected program costs using the Graduate Program Cost Calculator.
Program Cost Information: For more detailed information on costs, please visit the Bursar's website.
Curriculum - Big Data Track
The Big Data Analytics specialization focuses on data mining and analytical techniques, big data management, storage, and modeling. The objectives consist of enabling students to process big data in an effective and efficient way, discover knowledge patterns in big data, build predictive models, and use big data to answer business questions.
The MSBA is a 10-course, 30-credit degree program. To receive the MSBA, students must complete a minimum of 10 courses: Analytical Core, MSBA Electives, and the MSBA Capstone. One (1) prerequisite course must be satisfied or waived through prior relevant coursework, based on a review of transcripts.*
Core Courses (12 Credits)
- MSIS 642 - Multivariate Statistics and Regression Analysis 3 Credit(s)
- MSIS 670 - Enterprise Business Intelligence 3 Credit(s)
- MSIS 672 - Introduction to Machine Learning 3 Credit(s)
- MBAMS 638 - Management Decision Models 3 Credit(s)
Track Courses (15 Credits)
Complete five courses from below.
- MBAMGT 698 - Practicum 1-3 Credit(s)
- MSIS 615 - Business Programming 3 Credit(s)
- MSIS 618 - Database Management 3 Credit(s)
- MSIS 643 - Decision and risk analysis 3 Credit(s)
- MSIS 656 - Information Storage Management 3 Credit(s)
- MSIS 671 - Enterprise Data Warehousing for Business Intelligence 3 Credit(s)
- MSIS 680 - Advanced Machine Learning and Artificial Intelligence 3 Credit(s)
- MSIS 682 - Linear Programming 3 Credit(s)
- MSIS 685 - Introduction to Big Data Analytics 3 Credit(s)
Capstone Course (3 Credits)
- MSIS 630 - Project & Change Management 3 Credit(s)
Students may also choose MSIS 690/699 Master’s Thesis Option, MSIS 697 Special Topics and MBAMGT 698 Practicum (students must have relevant internship).
Curriculum - Supply Chain Track
The Supply Chain Analytics specialization focuses on data analytics and decision-making in the context of a major functional area in businesses-- supply chains. The specialization offers courses on analytics in-service operation. The objective is to use data and data modeling to optimize activities within the supply chain and consequently maximize the organization’s competitive advantage.
The MSBA is a 10-course, 30-credit degree program. To receive the MSBA, students must complete a minimum of 10 courses: Analytical Core, MSBA Electives, and the MSBA Capstone. One (1) prerequisite course must be satisfied or waived through prior relevant coursework, based on a review of transcripts.*
Core Courses (12 Credits)
- MSIS 642 - Multivariate Statistics and Regression Analysis 3 Credit(s)
- MSIS 670 - Enterprise Business Intelligence 3 Credit(s)
- MSIS 672 - Introduction to Machine Learning 3 Credit(s)
- MBAMS 638 - Management Decision Models 3 Credit(s)
Track Courses (15 Credits)
Complete five courses from below.
- MBAMGT 698 - Practicum 1-3 Credit(s)
- MBAMS 652 - Lean and Six Sigma Management 3 Credit(s)
- MSIS 617 - Management of the Supply Chain 3 Credit(s)
- MSIS 631 - Operational Risk Management 3 Credit(s)
- MSIS 643 - Decision and Risk Analysis 3 Credit(s)
- MSIS 680 - Advanced Machine Learning and Artificial Intelligence 3 Credit(s)
- MSIS 682 - Linear Programming 3 Credit(s)
Capstone Course (3 Credits)
- MSIS 630 - Project & Change Management 3 Credit(s)
Students may also choose MSIS 690/699 Master’s Thesis Option, MSIS 697 Special Topics and MBAMGT 698 Practicum (students must have relevant internship).
Graduation Criteria
Program Requirements: Complete 30 credits from 10 courses including four core courses, five track courses, and one capstone course.
Capstone: MSIS 630
Track requirement: Candidates must select a track in big data analytics or supply chain analytics.
Prerequisite: Candidates must have completed a statistics course, either MSIS 111 or MBAMS 630, or an equivalent course within the last five years. Students who have not met this requirement are required to take MBAMS 630 as part of their first semester in addition to the 10 courses required for the program.
Statute of limitations: Eight years.
Contact
Graduate Program Director Romilla Syed
romilla.syed@umb.edu
(617) 287-7014
College of Management Graduate Programs
gradcm@umb.edu
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