MS in Business Analytics

The Master of Science in Business Analytics (MSBA) 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.

Learning Outcomes

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.
  • Consider opportunities, needs, and constraints of data analytics within the business functions and the strategic importance of decisions made using data.
  • Demonstrate critical-thinking skills, connecting quantitative and qualitative tools, concepts, and context to effectively solve problems and make decisions.
  • Demonstrate proficiency with a variety of data-analytic tools.
  • Communicate technical information to both technical and non-technical audiences in speech, in writing, and graphically.
  • Demonstrate interpersonal, team, collaborative, and leadership skills.
  • Demonstrate ethical reasoning skills and understand professional responsibilities.
  • Demonstrate proficiency in a concentration area, if chosen.

Curriculum

The MS in Business Analytics program is a full-time program which allows students to complete the program in 37 credits. Depending on each student’s academic plan and career objectives, the program starts in the fall and may be paced to be completed in 12 months over three consecutive semesters (fall, spring, summer), or in 16 months over three semesters with an interspersed summer, which may be used to complete a summer internship. Students may also elect to complete a concentration as part of their program. All students begin the program cohorted with a common set of core courses. Given the intensity of the program, all 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.

Required Prerequisites

All students enrolling in the MSBA program must have completed the equivalent of BA 755 Describing, Analyzing, and Using Data (4 cr) and BA 765 Introduction to Programming for Data Science (4 cr) prior to matriculation. Students who have not completed this content through prior coursework as determined through the admissions process will have to complete a required noncredit bootcamp or other approved program/course prior to enrollment.

Required Core (25–28 credits)

  • BA 775 Business Analytics Toolbox (4 cr)
  • BA 780 Introduction to Data Analytics (3 cr)
  • BA 810 Supervised Machine Learning (3 cr)
  • BA 815 Competing with Analytics (3 cr)
  • BA 820 Unsupervised and Unstructured Machine Learning (3 cr)
  • BA 830 Business Experimentation and Causal Methods (3 cr)
  • BA 840 Data Ethics: Analytics in Social Context (3 cr)
  • BA 888 Capstone Project (3 cr) Required only for students completing the program in a 12-month format.
  • BA 890 Analytics Practicum (1 cr)
  • ES 710 Teaming (1 cr)
  • ES 720 Management Communication (1 cr)

Electives (9–12 credits)

Students completing the program in 12 months must choose 3 electives (9 credits). Students completing the program in 16 months must choose 4 electives (12 credits). Available and approved electives are subject to change.

  • 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 Topics II (3 cr)
  • TBD: Applied Data Science/CDS (3 cr)
  • HM 817 Advances in Digital Health (3 cr)
  • IS 843 Big Data Analytics for Business (3 cr)
  • MK 852 Data-Driven Marketing Decisions (3 cr)
  • MK 856 Consumer Insights (3 cr)
  • MK 864 Pricing Strategy & Tactics (3 cr)
  • SPH BS 803 Statistical Programming for Biostatisticians (3 cr)
  • SPH BS 806 Multivariable Analysis for Biostatisticians (3 cr)
  • SPH PM 804 Digital Disruption in Health (3 cr)
  • BA 888 Capstone Project (3 cr) May be taken as additional course with program approval only (and based on seat availability) in the 16-month format.

Total credits required to earn the MSBA degree is 37 credits for all students.

Concentrations

Students may pursue an optional concentration as part of their program. To earn a concentration, students must complete at least three courses in the area of concentration. Students should consult with their academic advisor regarding whether a concentration will fit into their desired completion timeline and academic goals. Concentration requirements are listed below.

Data & Methods

  • BA 865 Advanced Analytics Topics (3 cr)
  • BA 885 Advanced Analytics Topics II (3 cr)
  • IS 843 Big Data Analytics for Business (3 cr)
  • TBD: Applied Data Science/CDS (3 cr)

Healthcare Analytics

  • HM 817 Advances in Digital Health (3 cr)
  • SPH BS 803 Statistical Programming for Biostatisticians (3 cr)
  • SPH BS 806 Multivariable Analysis for Biostatisticians (3 cr)
  • SPH PM 804 Digital Disruption in Health (3 cr)

Marketing Analytics

  • BA 860 Digital Marketing Analytics (3 cr)
  • MK 852 Data-Driven Marketing Decisions (3 cr)
  • MK 856 Consumer Insights (3 cr)
  • MK 864 Pricing Strategy & Tactics (3 cr)

Degree Completion

To qualify for the MS in Business Analytics, students must:

  • Successfully complete all required courses for a total of 37 credits.
  • Have a cumulative GPA of at least 2.70.

Have no “I” grades or no “MG” grades in courses counting toward the degree.