Business Analytics, MS

This is the first version of the 2026–27 General Catalog. Please check back regularly for changes. The final edition and the historical PDF will be published during the fall semester.
The digital revolution has generated vast amounts of data, presenting challenges and opportunities for businesses to gain a competitive edge by mastering this data. Business analytics specialists bridge this gap, and the Master of Business Analytics program, offered in full-time and part-time formats, addresses the need to manage and analyze data for business decision-making.
The full-time STEM-designated program in Iowa City spans two semesters and includes core courses, a capstone, and electives in three subprogram areas: artificial intelligence and machine learning, artificial intelligence and technology management, and finance analytics. The part-time program offers online analytics and business elective courses, with occasional in-person business electives in Des Moines. Certificates in artificial intelligence and machine learning, artificial intelligence and technology management, and operations can be embedded into the part-time program without taking any additional coursework through appropriate elective selection.
The program equips students with skills to transform raw data into actionable insights, moving beyond descriptive and diagnostic analytics to predictive and prescriptive analytics.
Learning Outcomes
Graduates will exhibit knowledge and skills relevant to data and its applications in business. They will demonstrate competence in the subareas of:
- descriptive analytics;
- predictive analytics; and
- prescriptive analytics.
Graduates will create and communicate solutions to data-related business problems that impact their organizations and communities. They will:
- approach, address, and solve a loosely defined business problem requiring the use, exploration, and analysis of data; and
- communicate effectively through oral, written, and visual forms.
Graduates will understand and explore ethical issues related to the use of data in the modern world. They will:
- contemplate ethical issues arising in their own work; and
- express a working knowledge of the major ethical issues facing the business analytics profession, supported with examples from current events.
Graduates will demonstrate the ability to be effective team members in a diverse and complex world. They will:
- engage in effective team processes; and
- lead and support others to achieve collective goals.
The full-time Master of Science program in business analytics requires a minimum of 33 s.h. of graduate credit. Transfer credit may be accepted with approval from the program. A Graduate College major program grade-point average (GPA) and a UI cumulative GPA of at least 2.75 is required in all coursework. The degree offers three subprograms: artificial intelligence and machine learning, artificial intelligence and technology management, and finance analytics.
The full-time MS in business analytics requires the following coursework.
| Requirements | Hours |
|---|---|
| Core Courses | 24 |
| Subprogram Courses | 9 |
Core Courses
Students in all subprograms take the following required courses for a total of 24 s.h.
| Course # | Title | Hours |
|---|---|---|
| All of these (24 s.h.): | ||
| BAIS:6040 | Data Programming in Python | 3 |
| BAIS:6050 | Data Management | 3 |
| BAIS:6070 | Data Science | 3 |
| BAIS:6120 | Analytics Experience | 3 |
| BAIS:6140 | Visual Analytics | 3 |
| BAIS:6250 | Applied Deep Learning | 3 |
| BAIS:7110 | Managerial Communication | 1 |
| BAIS:7120 | Advanced Technical Communication | 1 |
| BAIS:9110 | Advanced Analytics | 3 |
| BAIS:9400 | Professional Development and Business Acumen | 1 |
Subprogram Courses
Artificial Intelligence and Machine Learning
This subprogram provides students with a deeper understanding of artificial intelligence (AI) technologies within a business context.
The MS in business analytics with an artificial intelligence and machine learning subprogram requires the following coursework.
| Course # | Title | Hours |
|---|---|---|
| All of these (9 s.h.): | ||
| BAIS:6100 | Text Analytics | 3 |
| BAIS:6105 | Social Analytics | 3 |
| BAIS:6260 | Generative Artificial Intelligence | 3 |
Artificial Intelligence and Technology Management
This subprogram prepares professionals to lead in technology-driven environments, focusing on the intersection of technology and management to equip students with the skills to navigate and lead in a digital world.
The MS in business analytics with a subprogram in artificial intelligence and technology management requires the following coursework.
| Course # | Title | Hours |
|---|---|---|
| All of these (9 s.h.): | ||
| BAIS:6210 | Data Leadership and Management | 3 |
| BAIS:6240 | Value Creation Using Artificial Intelligence | 3 |
| BAIS:9140 | Agile Project Management | 3 |
Finance Analytics
This subprogram offers students an interdisciplinary path, i.e., a business analytics degree with a focus on data-driven decision making in finance, preparing them for specific business domains.
The MS in business analytics with a subprogram in finance analytics requires the following coursework.
| Course # | Title | Hours |
|---|---|---|
| All of these (9 s.h.): | ||
| BAIS:6100 | Text Analytics | 3 |
| FIN:9300 | Corporate Finance | 3 |
| MBA:8180 | Managerial Finance | 3 |
The part-time Master of Science program in business analytics (professional) requires a minimum of 30 s.h. of graduate credit. Students must have a Graduate College major program grade-point average (GPA) and a UI cumulative GPA of at least 2.75 to satisfy degree requirements.
With program approval, students may count up to a maximum 6 s.h. of graduate transfer credit toward program coursework requirements. Students who wish to include the 15 s.h. earned from the Certificate in Business Analytics toward the business analytics master's degree may do so as long as the coursework is not more than 10 years old from the date when the business analytics master's degree is conferred.
The part-time Master of Science program in business analytics (professional) requires the following coursework.
| Requirements | Hours |
|---|---|
| Core Courses | 18 |
| Electives | 12 |
The core courses develop competency in business analytics skills and key functional concepts while elective coursework allows students to deepen or broaden their proficiencies. Students must complete all course prerequisites before taking a given course. Students should consult MyUI for course availability and/or discuss course offerings with their advisor.
Core Courses
| Course # | Title | Hours |
|---|---|---|
| All of these: | ||
| BAIS:6040 | Data Programming in Python | 3 |
| BAIS:6050 | Data Management | 3 |
| BAIS:6070 | Data Science | 3 |
| BAIS:6140 | Visual Analytics | 3 |
| BAIS:9110 | Advanced Analytics | 3 |
| One of these: | ||
| BAIS:9100 | Data and Decisions | 3 |
| MBA:8150 | Data and Decisions | 3 |
If a core course is waived, it must be replaced with an approved analytics elective to reach the 30 s.h. of graduate credit.
Electives
The following list includes all approved electives. Not all courses are offered on a regular basis.
| Course # | Title | Hours |
|---|---|---|
| 12 s.h. from these: | ||
| BAIS:6060 | Data Analysis With R | 3 |
| BAIS:6100 | Text Analytics | 3 |
| BAIS:6105 | Social Analytics | 3 |
| BAIS:6110 | Big Data Management and Analytics | 3 |
| BAIS:6130 | Applied Optimization | 3 |
| BAIS:6150 | Financial Analytics | 3 |
| BAIS:6180 | Healthcare Analytics | 3 |
| BAIS:6190 | Forecasting | 3 |
| BAIS:6210 | Data Leadership and Management | 3 |
| BAIS:6230 | People Analytics | 3 |
| BAIS:6240 | Value Creation Using Artificial Intelligence | 3 |
| BAIS:6250 | Applied Deep Learning | 3 |
| BAIS:6260 | Generative Artificial Intelligence | 3 |
| BAIS:6280 | Cybersecurity | 3 |
| BAIS:9010 | Contemporary Topics in Analytics | 1-3 |
| BAIS:9130 | Lean Process Improvement | 3 |
| BAIS:9140 | Agile Project Management | 3 |
| BAIS:9160 | Supply Chain Analytics | 3 |
| FIN:9160 | Quantitative Finance and Machine Learning | 0,3 |
| ISE:5350 | Logistics Engineering and Management | 3 |
| MGMT:9170 | Human Resources Analytics | 3 |
| MKTG:9310 | Marketing Analytics | 3 |
| May include 6 s.h. from these: | ||
| ACCT:9020 | Strategic Cost Analysis | 3 |
| ACCT:9040 | Financial Statement Analysis and Forecasting | 3 |
| BAIS:9300 | Innovations in Technology | 3 |
| ECON:9100 | Digital Economics | 3 |
| ENTR:9100 | Entrepreneurship and Innovation | 3 |
| ENTR:9200 | Entrepreneurial Finance | 3 |
| ENTR:9300 | Design Thinking | 3 |
| ENTR:9450 | Strategic Management of Technology and Innovation | 3 |
| ENTR:9500 | Managing the Growth Business | 3 |
| FIN:9130 | Corporate Risk Management and Insurance | 3 |
| FIN:9140 | Enterprise Risk Management | 3 |
| FIN:9150 | Financial Modeling and Firm Valuation | 3 |
| FIN:9200 | Portfolio Management | 3 |
| FIN:9210 | Derivatives | 3 |
| FIN:9220 | Fixed Income Securities | 3 |
| FIN:9230 | Real Estate Finance and Investments | 3 |
| FIN:9240 | International Finance | 3 |
| FIN:9300 | Corporate Finance | 3 |
| FIN:9310 | Advanced Corporate Finance | 3 |
| FIN:9350 | Wealth Management | 3 |
| MBA:8110 | Marketing Management | 3 |
| MBA:8120 | Management in Organizations | 3 |
| MBA:8130 | Business Communication | 3 |
| MBA:8140 | Corporate Financial Reporting | 3 |
| MBA:8160 | Managerial Economics | 3 |
| MBA:8180 | Managerial Finance | 3 |
| MBA:8240 | Operations and Supply Chain | 3 |
| MBA:8300 | Foundations in Strategy | 3 |
| MBA:8430 | Communication With Artificial Intelligence and Business Technology | 3 |
| MBA:8500 | Seminar in International Business | 3 |
| MBA:9130 | Leadership Communication and Story | 3 |
| MGMT:9090 | Influence and Constructive Persuasion | 3 |
| MGMT:9091 | Corporate Social Responsibility and Sustainability | 3 |
| MGMT:9092 | Effective Managerial Communication | 3 |
| MGMT:9110 | Dynamics of Negotiations | 3 |
| MGMT:9120 | Leadership and Personal Development | 3 |
| MGMT:9130 | Strategic Management of Change | 3 |
| MGMT:9185 | Project Management | 3 |
| MGMT:9210 | Law and Ethics | 3 |
| MGMT:9220 | Maximizing Team Performance | 3 |
| MGMT:9230 | Managing and Preventing Conflict | 3 |
| MGMT:9240 | Inclusive Leadership | 3 |
| MGMT:9250 | Managing Employee Performance | 3 |
| MGMT:9260 | Strategic Employee Development | 3 |
| MGMT:9270 | Human Resource Management | 3 |
| MGMT:9290 | Global Business Management | 3 |
| MKTG:9015 | Social Media Marketing | 3 |
| MKTG:9120 | Customer Relationship Management | 3 |
| MKTG:9155 | Digital Marketing Insights, Strategies, and Applications | 3 |
| MKTG:9170 | Business to Business Marketing | 3 |
| MKTG:9190 | International Marketing | 3 |
| MKTG:9320 | Strategic Brand Positioning | 3 |
| MKTG:9330 | Product and Portfolio Strategy | 3 |
| MKTG:9340 | Customer Analysis | 3 |
| MKTG:9350 | Marketing Communication and Promotions | 3 |
| MKTG:9370 | Customer Experience | 3 |
Undergraduate Degree/MS in Business Analytics Full-Time Programs
Students working on an undergraduate degree program at the University of Iowa who are interested in earning an MS in business analytics through one of the full-time programs may apply to a combined undergraduate degree/MS graduate degree program. The Undergraduate to Graduate (U2G) program enables students to begin work on an MS as they complete their baccalaureate degree. The U2G program enables students to accelerate the start of their graduate degree with the potential to count some coursework toward both degrees.
Separate application to each degree program is required. Applicants must be admitted to both programs before they may be admitted to the combined degree program. Visit the full-time MS in business analytics Admissions page on the Tippie College of Business website for more information.
Multiple Graduate and Professional Degrees
Students pursuing more than one graduate and/or professional degree in the Tippie College of Business may take advantage of shared coursework at any time. However, each degree's specific requirements must still be fulfilled, and students must complete a specific total semester hour requirement across all degrees with approved coursework.
Separate application to each degree program is required. For additional information, visit the Multiple Degrees webpage on the Tippie College of Business website.
Graduate education prepares students with advanced knowledge and skills in specialized fields. At the University of Iowa, the Graduate College advocates for student-centered graduate education and supports equitable application of rules and policies across graduate programs.
Academics
University of Iowa graduate credentials are regulated by policies and requirements found in the Graduate College Manual of Rules and Regulations. This includes minimum grade-point average (GPA) requirements for academic standing and degree conferral. The Graduate College sets the minimum requirement. Individual graduate programs may establish higher GPA requirements.
Admissions
Graduate student applicants must meet admission requirements for both the Graduate College and the program to which they have applied. University of Iowa graduate admission requirements are published by the Graduate College and on the Graduate Admissions website.
Financial Support
Graduate students might be eligible for financial support. Several contingencies apply, including degree program and award type, satisfactory progress toward degree, satisfactory completion of all duties related to an appointment, and availability of funding. Graduate students should inquire directly with their program for more information about funding availability. The Graduate Student Employment Standards govern the employment relationship between the University of Iowa and all graduate teaching and research assistants in all matters except wages, which are covered by an existing collective bargaining agreement or the conditions of an applicable federal grant.
Applicants must meet the admission requirements of the Graduate College; see the Manual of Rules and Regulations on the Graduate College website.
Full-Time Subprograms
Application criteria includes an online application; a résumé (include information about employment, education, extracurricular activities, and community involvement); a statement of purpose (250–500 words); academic transcripts (unofficial transcripts may be submitted with an application; official transcripts will be required for admission); earned bachelor’s degree from a U.S. college or university with a minimum grade-point average of 3.00 on a 4.00 scale or have earned an equivalent from another country; and TOEFL/IELTS/Duolingo scores for international students (may be waived; see application website for details).
Prior to starting the program students must complete Pre-Work: Data and Decisions Bootcamp.
Visit the full-time MS in business analytics Admissions page on the Tippie College of Business website for full admission details.
Professional Subprogram
Please see the Part-time Master of Business Analytics Admissions on the Tippie College of Business website for information about admission to the MS in business analytics professional subprogram.
The Tippie Graduate Career Services team offers multiple resources to help students in their career development journey. Visit Graduate Career Services on the Tippie College of Business website for details.
Sample Plan of Study
Sample plans represent one way to complete a program of study. Actual course selection and sequence will vary and should be discussed with an academic advisor. For additional sample plans, see MyUI.
Business Analytics, MS
- Artificial Intelligence and Machine Learning Subprogram
- Artificial Intelligence and Technology Management Subprogram
- Finance Analytics Subprogram
- Professional Subprogram
Artificial Intelligence and Machine Learning Subprogram
| Academic Career | ||
|---|---|---|
| Any Semester | Hours | |
| 33 s.h. must be graduate level coursework; graduate transfer credits allowed upon approval. More information is included in the General Catalog and on department website. a | ||
| Graduate College major program GPA and cumulative GPA of at least 2.75 is required. | ||
| Pre-Work: Data and Decisions Bootcamp b | ||
| Hours | 0 | |
| First Year | ||
| Any Semester | ||
| Meet with your Career Services coach and attend offered sessions. | ||
| Hours | 0 | |
| Fall | ||
| BAIS:6040 | Data Programming in Python c | 3 |
| BAIS:6050 | Data Management | 3 |
| BAIS:6070 | Data Science | 3 |
| BAIS:6100 | Text Analytics d | 3 |
| BAIS:7110 | Managerial Communication d | 1 |
| BAIS:9110 | Advanced Analytics | 3 |
| BAIS:9400 | Professional Development and Business Acumen c | 1 |
| Hours | 17 | |
| Spring | ||
| BAIS:6105 | Social Analytics c | 3 |
| BAIS:6120 | Analytics Experience | 3 |
| BAIS:6140 | Visual Analytics | 3 |
| BAIS:6250 | Applied Deep Learning | 3 |
| BAIS:6260 | Generative Artificial Intelligence d | 3 |
| BAIS:7120 | Advanced Technical Communication | 1 |
| Complete degree application in MyUI e | ||
| Hours | 16 | |
| Total Hours | 33 | |
- a
- Students must complete specific requirements in the University of Iowa Graduate College after program admission. Refer to the Graduate College website and the Manual of Rules and Regulations for more information.
- b
- This 2-semester long master's degree requires students to have some foundational analytics and Excel skills. All students are required to complete a free online asynchronous bootcamp during the summer prior to starting the program.
- c
- First 8 weeks of the semester.
- d
- Second 8 weeks of the semester.
- e
- See Academic Calendar, on Office of the Registrar website, for current degree application deadlines. Students should apply for a degree for the session in which all requirements will be met. For any questions on appropriate timing, contact your academic advisor.
Artificial Intelligence and Technology Management Subprogram
| Academic Career | ||
|---|---|---|
| Any Semester | Hours | |
| 33 s.h. must be graduate level coursework; graduate transfer credits allowed upon approval. More information is included in the General Catalog and on department website. a | ||
| Graduate College major program GPA and cumulative GPA of at least 2.75 is required. | ||
| Pre-Work: Data and Decisions Bootcamp b | ||
| Hours | 0 | |
| First Year | ||
| Any Semester | ||
| Meet with your Career Services coach and attend offered sessions. | ||
| Hours | 0 | |
| Fall | ||
| BAIS:6040 | Data Programming in Python c | 3 |
| BAIS:6050 | Data Management | 3 |
| BAIS:6070 | Data Science | 3 |
| BAIS:6210 | Data Leadership and Management d | 3 |
| BAIS:7110 | Managerial Communication d | 1 |
| BAIS:9110 | Advanced Analytics | 3 |
| BAIS:9400 | Professional Development and Business Acumen c | 1 |
| Hours | 17 | |
| Spring | ||
| BAIS:6120 | Analytics Experience | 3 |
| BAIS:6140 | Visual Analytics | 3 |
| BAIS:6240 | Value Creation Using Artificial Intelligence d | 3 |
| BAIS:6250 | Applied Deep Learning | 3 |
| BAIS:7120 | Advanced Technical Communication | 1 |
| BAIS:9140 | Agile Project Management c | 3 |
| Complete degree application in MyUI e | ||
| Hours | 16 | |
| Total Hours | 33 | |
- a
- Students must complete specific requirements in the University of Iowa Graduate College after program admission. Refer to the Graduate College website and the Manual of Rules and Regulations for more information.
- b
- This 2-semester long master's degree requires students to have some foundational analytics and Excel skills. All students are required to complete a free online asynchronous bootcamp during the summer prior to starting the program.
- c
- First 8 weeks of the semester.
- d
- Second 8 weeks of the semester.
- e
- See Academic Calendar, on Office of the Registrar website, for current degree application deadlines. Students should apply for a degree for the session in which all requirements will be met. For any questions on appropriate timing, contact your academic advisor.
Finance Analytics Subprogram
| Academic Career | ||
|---|---|---|
| Any Semester | Hours | |
| 33 s.h. must be graduate level coursework; graduate transfer credits allowed upon approval. More information is included in the General Catalog and on department website. a | ||
| Graduate College major program GPA and cumulative GPA of at least 2.75 is required. | ||
| Pre-Work: Data and Decisions Bootcamp b | ||
| Hours | 0 | |
| First Year | ||
| Any Semester | ||
| Meet with your Career Services coach and attend offered sessions. | ||
| Hours | 0 | |
| Fall | ||
| BAIS:6040 | Data Programming in Python c | 3 |
| BAIS:6050 | Data Management | 3 |
| BAIS:6070 | Data Science | 3 |
| BAIS:6100 | Text Analytics d | 3 |
| BAIS:7110 | Managerial Communication d | 1 |
| BAIS:9110 | Advanced Analytics | 3 |
| BAIS:9400 | Professional Development and Business Acumen c | 1 |
| Hours | 17 | |
| Spring | ||
| BAIS:6120 | Analytics Experience | 3 |
| BAIS:6140 | Visual Analytics | 3 |
| BAIS:6250 | Applied Deep Learning | 3 |
| BAIS:7120 | Advanced Technical Communication | 1 |
| FIN:9300 | Corporate Finance d | 3 |
| MBA:8180 | Managerial Finance c | 3 |
| Complete degree application in MyUI e | ||
| Hours | 16 | |
| Total Hours | 33 | |
- a
- Students must complete specific requirements in the University of Iowa Graduate College after program admission. Refer to the Graduate College website and the Manual of Rules and Regulations for more information.
- b
- This 2-semester long master's degree requires students to have some foundational analytics and Excel skills. All students are required to complete a free online asynchronous bootcamp during the summer prior to starting the program.
- c
- First 8 weeks of the semester.
- d
- Second 8 weeks of the semester.
- e
- See Academic Calendar, Office of the Registrar website for current degree application deadlines. Students should apply for a degree for the session in which all requirements will be met. For any questions on appropriate timing, contact your academic advisor.
Professional Subprogram
| Academic Career | ||
|---|---|---|
| Any Semester | Hours | |
| 30 s.h. must be graduate level coursework; graduate transfer credits allowed upon approval. More information is included in the General Catalog and on department website. a, b | ||
| Individual course waivers are not reflected within sample plans. Check with your advisor and/or consult degree audit for approved waivers. | ||
| Students may also choose to earn a graduate/professional certificate along with the degree by focusing electives. Check with your advisor on possible options and to have a certificate added. | ||
| Hours | 0 | |
| First Year | ||
| Fall | ||
| BAIS:6040 | Data Programming in Python | 3 |
| MBA:8150 | Data and Decisions c | 3 |
| Hours | 6 | |
| Spring | ||
| BAIS:6070 | Data Science | 3 |
| Elective course d, e | 3 | |
| Hours | 6 | |
| Summer | ||
| BAIS:6050 | Data Management | 3 |
| Hours | 3 | |
| Second Year | ||
| Fall | ||
| BAIS:9110 | Advanced Analytics | 3 |
| Elective course d, e | 3 | |
| Hours | 6 | |
| Spring | ||
| Elective course d, e | 3 | |
| Elective course d, e | 3 | |
| Hours | 6 | |
| Summer | ||
| BAIS:6140 | Visual Analytics | 3 |
| Complete Degree Application in MyUI f | ||
| Hours | 3 | |
| Total Hours | 30 | |
- a
- Analytics courses are offered in an 8-week format in fall, spring, and summer online. Consult with your advisor and/or the course schedule for more details.
- b
- Students must complete specific requirements in the University of Iowa Graduate College after program admission. Refer to the Graduate College website and the Manual of Rules and Regulations for more information.
- c
- BAIS:9100 fulfills the same program of study requirement.
- d
- Students may take up to 6 s.h. of business electives through the Iowa MBA Program, which are offered in an 8-week format. Business electives are offered fall, spring and summer and a select number of electives offered in winter session. Consult with your advisor and/or the schedule for more details.
- e
- See the General Catalog for list of approved courses.
- f
- See Academic Calendar, on Office of the Registrar website, for current degree application deadlines. Students should apply for a degree for the session in which all requirements will be met. For any questions on appropriate timing, contact your academic advisor.