Master of Science in Business Analytics (MSBA)

About MSBA
Admissions Requirements
Curriculum

 About MSBA

Business Analytics is the process of transforming raw data into business intelligence and insight. As companies generate more data at ever faster rates, the need for business analytics professionals is growing. The Master of Science in Business Analytics (MSBA) program will help you: Develop the ability to collect, manage and analyze data from a variety of sources; enhance your understanding of business processes and systems; develop the ability to understand and communicate insights gleaned from descriptive, predictive and prescriptive analytics.

Private and public firms in fields as diverse as health care, finance, logistics and marketing need business analysts to help them identify and solve problems related to forecasting, customer relationship management and revenue optimization - to name only a few. Experts predict that in the next 10 years hundreds of thousands of new jobs will be created in the domain of business analytics.

The MSBA program at UMass Lowell is a 30 credit program, which may be completed either full-time or part-time. The program integrates theory and practice, giving students a solid foundation of analytical skills that can be used to solve real-world problems.

 Admissions Requirements

The following are general admissions requirements for MSBA. Exceptions will be considered on a case-by-case basis. To begin your application online, please go to the Graduate Admissions webpage and click the link for the online application at the bottom of the page.

  1.  The Graduate Admissions Application form and application fee.

  2. Bachelor's degree from an accredited college or university with a minimum overall GPA of 3.0. A CED foreign credential evaluation is required for degrees earned outside of the United States.

  3. GMAT (minimum 500) or GRE (with equivalent minimum score). The GMAT/GRE may be waived based on certain criteria. To apply for a GMAT Waiver, please complete the GMAT Waiver Form (pdf) and email it to msba@uml.edu.

  4. Introductory-level business course prerequisites in the following areas:
    View Descriptions of Courses
       

    Area Course
    Statistics
    ECON.2010 Statistics for Business and Economics I
    MATH.2830 Introduction to Statistics, or equivalent
    MIS
    MIST.2010 Business Information Systems,
    MIST.6010 Management Information Systems, or equivalent
    Note: Additional courses may be required for different tracks/concentrations. See below for track details.
  5. Students must exhibit sufficient recent knowledge of statistics. Students, with a grade C or below, or have not taken a statistics course in the last 5 years prior to admission will be rwuired to pass a competency exam in statistics. 

  6. Three letters of recommendation from instructors who have taught you, ideally in the field of study for which you are applying. Letters may also be from employers or supervisors who are in a position to compare your performance with that of your peers. 

  7. Statement of Purpose: Submit a 500 - 750 word statement indicating your immediate and long-range goals and any areas of specific interest or experience that may be relevant to the graduate program.

  8. Resume or CV that lists your education and work experience.

  9. Student for whom English is not their national language must also submit an official TOEFL score of 100 or higher or an IELTS score of 7.5 or higher. A waiver may be given to candidates who have completed at least two semesters of full-time college/university work in the United States by the date of submission of the application.

 Curriculum

The Master of Science in Business Analytics requires 10 courses (30 credits). Students complete a core of 7 required courses (21 credits) and then complete three courses (9 credits) within one of four tracks (Big Data, Managerial Decision Making, Marketing Analytics or Finance Analytics).

Degree Pathway for:

The Manning School of Business Website has more information on the Master of Science in Business Analytics.