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Fox School of Business

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Business Analytics

Learn how to strategically leverage data to transform data—and rise above the competition to land an in-demand career. The Fox Master of Science in Business Analytics delivers the data analytics expertise and hands-on experience to integrate analytics into business strategy in order to drive profits and model your ideal career.

Admissions Criteria

Candidates for the Fox Business Analytics 4+1 program must meet the following guidelines for admission:

  • Meet the general 4+1 program admissions criteria.
  • Have achieved a grade of B or higher in at least three college-level quantitative courses. These include all non-remedial courses taught in the departments of mathematics, statistical science, management science, or actuarial science; Economics 3501, 3502, 3503, or 3504, Physics 1021, Engineering 1103 and 2300-level courses, and statistic courses throughout the university also qualify.

Curriculum

Courses to Be Completed as an Undergraduate (12 credits)

Students in the Business Analytics 4+1 program should take twelve graduate credits while completing their undergraduate degrees. While the Fox School offers a recommended curriculum pathway, we understand that juniors and seniors may require flexibility in course scheduling, and have opened up alternative courses within each semester to help meet these needs.

Undergraduate Year

Fall Semester

Spring Semester

Junior

Recommended: STAT 5001: Quantitative Methods for Business (3 credits)*

Alternative courses that may be taken based on scheduling needs, listed in order of preference:
STAT 5602: Visualization: The Art of Numbers and the Psychology of Persuasion (3 credits)

Recommended: STAT 5607: Advanced Business Analytics (3 credits)

Alternative courses that may be taken based on scheduling needs, listed in order of preference:
STAT 5001: Quantitative Methods for Business (3 credits)*
STAT 5602: Visualization: The Art of Numbers and the Psychology of Persuasion (3 credits)
STAT 5605: Decision Models: From Data to Decisions (3 credits)
STAT 5603: Statistical Learning and Data Mining (3 credits)

Senior

Recommended: STAT 5602: Visualization: The Art of Numbers and the Psychology of Persuasion (3 credits)

Alternative courses that may be taken based on scheduling needs, listed in order of preference:
STAT 5001: Quantitative Methods for Business (3 credits)*
STAT 5606: Data: Care, Feeding, and Cleaning (3 credits)
STAT 5604: Experiments: Knowledge by Design (3 credits)

Recommended: STAT 5605: Decision Models: From Data to Decisions (3 credits)

Alternative courses that may be taken based on scheduling needs, listed in order of preference:
STAT 5607: Advanced Business Analytics (3 credits)
STAT 5602: Visualization: The Art of Numbers and the Psychology of Persuasion (3 credits)
STAT 5603: Statistical Learning and Data Mining (3 credits)

*STAT 5001 is a pre-requisite for all other courses in the Master of Science in Business Analytics except STAT 5602. Students may begin the program with STAT 5602, but STAT 5001 should be taken in the first or second semester if possible and no later than the third semester.

Remaining Courses to Be Completed as a Graduate Student (18 credits)

Final Year of Program

Fall Semester

Spring Semester

9 credits total, consisting of:3 6 credits of course(s) not previously taken: STAT 5602: Visualization: The Art of Numbers and the Psychology of Persuasion (3 credits); STAT 5606: Data: Care, Feeding, and Cleaning (3 credits); STAT 5604: Experiments: Knowledge by Design (3 credits)

9 credits total, consisting of:3 6 credits of course(s) not previously taken: STAT 5603: Statistical Learning and Data Mining (3 credits); STAT 5605: Decision Models: From Data to Decisions (3 credits); STAT 5607: Advanced Business Analytics (3 credits)

3 6 credits of elective courses; elective courses are detailed in the Graduate Bulletin

3 credits of elective courses if remaining; elective courses are detailed in the Graduate Bulletin

*All students are required to complete BA 5687: Advanced Professional Development Strategies in either Fall or Spring. This is a 0-credit class.