MS in Business Analytics

The Master of Science (MS) in Business Analytics prepares students for positions across fields of business. The program begins by providing a foundation in data analysis and programming skills, and then moves into preparation in statistics and machine learning. The program then concludes with a focus on data analysis challenges businesses face across disciplines with particular emphasis on marketing, operations/supply chain, accounting/finance, and human resources analytics.

The MS in Business Analytics will seek to develop graduates who will:

  • Be able to think critically about and frame data problems in a variety of business contexts and apply appropriate analytical methods to find solutions that achieve stated objectives.
  • Demonstrate proficiency with a variety of data-analytic tools.
  • Be able to manipulate data, develop statistical and machine-learning models, and visualize and present output to improve business outcomes.
  • Demonstrate critical-thinking skills, connecting quantitative and qualitative tools, concepts, and context to effectively solve problems and make decisions.
  • Communicate technical information to both technical and non-technical audiences in speech, in writing, and graphically.
  • Consider opportunities, needs, and constraints of data analytics within the business functions and the strategic importance of decisions made using data.
  • Demonstrate interpersonal, team, collaborative, and leadership skills.
  • Demonstrate ethical reasoning skills and understand professional responsibilities.

Please refer to our website for the most up-to-date information regarding the MSBA program.

Curriculum

The MS in Business Analytics is a full-time, three-semester, 45-credit program that begins in the summer and concludes in the following spring. All students in the program are cohorted for the length of the program. The program has a fixed curriculum; all courses are required for graduation and students must receive permission of the Faculty Director to take any additional courses outside of the program. Any questions related to curriculum sequence can be discussed with the student’s academic advisor.

Summer Session (12 credits)

  • BA 755 Describing, Analyzing, and Using Data (4 cr)
  • BA 765 Introduction to Programming for Data Science (4 cr)
  • BA 775 Business Analytics Toolbox (4 cr)

Fall Semester (15.5 credits)

  • BA 780 Introduction to Data Analytics (3 cr)
  • BA 810 Supervised Machine Learning (3 cr)
  • BA 820 Unsupervised and Unstructured Machine Learning (3 cr)
  • BA 830 Business Experimentation and Causal Methods (3 cr)
  • BA 886 Analytics Project I (1.5 cr)
  • ES 710 Teaming (1 cr)
  • ES 720 Management Communication (1 cr)

Spring Semester (17.5 credits)

  • Required (5.5 credits):
    • BA 840 Data Ethics: Analytics in Social Context (3 cr)
    • BA 887 Analytics Project II (1.5 cr)
    • BA 890 Analytics Practicum (1 cr) *
  • Electives, choose 4 (12 credits):
    • BA 860 Digital Marketing Analytics (3 cr)
    • BA 865 Advanced Analytics Topics (3 cr)
    • BA 870 Financial Analytics (3 cr)
    • BA 875 Operations and Supply Chain Analytics (3 cr)
    • BA 880 People Analytics (3 cr)
    • BA 885 Advanced Analytics 2 (3 cr)

*Students may meet the requirement of BA 890 by completing either 1) an approved supervised project, or 2) an internship. If the internship is completed in the summer after the program’s prescribed spring term, students will incur an additional tuition cost at the Questrom School of Business per-credit rate for the 1-credit. In addition, the date on which the student’s degree is conferred will be delayed to the next available degree graduation date after all work for the internship course is completed and the grade for the course is submitted.

Academic Standards

Graduation requirements:

  • Your GPA at the conclusion of the program must be 2.7 or above.
  • Your GPA for courses taken within any individual semester must be 2.0 or above.
  • Courses with a failing grade (F) do not count toward meeting graduation requirements.

If at any point during the program you are failing any of the above requirements, the Program Office will contact you and notify that you are not satisfying these requirements.

Students are notified of their academic standing by the Master’s & PhD Center via BU email, prior to the start of the subsequent semester. Students must then meet with an academic advisor within 48 hours of receipt of this notification to discuss their case. Students can write a Student Statement to the Program Development Committee (PDC) to provide an explanation for poor academic performance. It is voluntary, although it is strongly encouraged as this is the sole opportunity for student input into PDC decisions. The Statement must be submitted within 72 hours of Master’s & PhD Center notification of poor academic standing.

The PDC then reviews the student’s case. It may confirm academic withdrawal or allow the student to continue in the program. Students allowed to continue receive a written notice from the PDC stipulating acceptable academic performance to remain in the program. The student who wishes to remain in the program will indicate that they understand and accept these conditions.

After the final semester, all students must achieve a 2.70 or higher cumulative grade point average (CGPA). Students are not permitted to take additional credits beyond the final semester in which they have completed their degree requirements in order to improve their CGPA or restart enrollment, nor can they withdraw and re-enroll.

Please be aware that your CGPA can also affect your eligibility for continuing financial aid, including scholarships and loans. Students must maintain satisfactory academic progress (at least a 2.70 CGPA) in order to be eligible for continued Federal Stafford Loan funding and private educational loan funding.