Campuses:
This is archival data. This system was retired as of August 21, 2023 and the information on this page has not been updated since then. For current information, visit catalogs.umn.edu.
Twin Cities Campus
Applied Business Analytics M.A.B.A.Information & Decision Sciences
Curtis L. Carlson School of Management
Link to a list of faculty for this program.
Contact Information
MBA & MS Programs
Carlson School of Management
321 19th Avenue South, Suite 1-110
Minneapolis, MN 55455
Phone: 612-625-5555
Email:
maba@umn.edu
Along with the program-specific requirements listed below, please read the
General Information section of
this
website for requirements that apply to all major fields.
The Applied Business Analytics program provides a strong foundation in business analytics by combining technical know-how that includes machine learning, artificial intelligence, applied statistics, optimization, econometrics, experimentation, data visualization, data engineering and big data with an understanding on how they may be applied in domains such as marketing, consumer behavior, operations, financial and risk management, information management, and strategic management in both public and private sectors. Students who graduate from this part-time, two-year, 32-credit program will have the substantial quantitative capabilities and technical expertise to create business and social value by extracting useful insights from data, and providing data-driven solutions to business problems for a variety of career settings. HyFlex course delivery provides students with the freedom to flex between an online and in-person experience.
Accreditation
This program is accredited by AACSB International.
Program Delivery
Prerequisites for Admission
Applicants must have a bachelor's degree from an accredited college or university.
Other requirements to be completed before admission:
- Applicants must have completed at least one semester college-level math course (e.g. Calculus, Linear Algebra).
- Demonstrated competency in computer programming in at least one of the following computer programming languages is required: Python, R, C, C++, C#, VB, Java, or PHP. Academic transcripts, certificates from online courses, or work experience may be cited to meet this requirement.
Special Application Requirements:
Applicants must submit all application materials through the University's admissions system. Application materials include:
- Online application & application fee.
- Transcripts from all colleges/universities previously attended. Non-English transcripts must be accompanied by an English translation.
- A GMAT or GRE General Test that is not more than five years old, with an acceptable score. A GMAT/GRE waiver is available for qualified candidates.
- For international students, an acceptable score on the Test of English as a Foreign Language (TOEFL) International Language Testing System (IELTS).
- Two letters of recommendations need to be submitted through the online application.
- A personal statement (max. 2 pages). Please answer each prompt as a separate short essay. (1)Why are you interested in studying at the Carlson School of Management at the University of Minnesota? What draws you to the Carlson School's Master of Applied Business Analytics (MABA) program specifically? (2)Briefly discuss your short- and long-term career goals. How will completing the Business Analytics program at this time help you toward achieving your goals? (3)An aptitude for technical and quantitative work is necessary for success in the MABA program. Please provide a specific example(s) from your past academic project, internship, or professional experience where you used a technical/quantitative tool or method to solve a problem. Please provide details describing the problem/situation; the actions you took; the specific tools, programming languages, and methods you used; and the results of your actions.
- Applicants must submit a current resume that includes job responsibilities and accomplishments in the online application.
- Video Essay.
- Admissions interview (by invitation only).
For admissions details, please visit https://carlsonschool.umn.edu/degrees/master-applied-business-analytics/admissions
Applicants must submit their test score(s) from the following:
International applicants must submit score(s) from one of the following tests:
Key to test
abbreviations
(GRE, GMAT, TOEFL, IELTS).
For an online application or for more information about graduate education admissions, see the
General Information section of this
website.
Program Requirements
Plan C: Plan C requires
32
major credits and
up to
credits outside the
major.
There is no final exam.
A capstone project is required.
Capstone Project: Students complete MABA 6511, in which they engage in an experiential-learning application of the analytics methodologies, techniques, and tools learned throughout the program to a real-world problem. The final project consists of the development and presentation of results, interpretations, insights, and recommendations.
This program may not be completed with a minor.
Use of 4xxx courses towards program requirements is not permitted.
A minimum GPA of 2.80
is required for students to remain in good standing.
Required Courses (24 credits)
Take the following courses:
MABA 6121 - Practical Statistics for Business Applications
(2.0 cr)
MABA 6131 - Mathematics Essentials for Business Analytics
(2.0 cr)
MABA 6141 - Ethics, Data Privacy, and Governance
(1.0 cr)
MABA 6251 - AI for Competitive Advantage
(2.0 cr)
MABA 6311 - Programming for Business Analytics
(2.0 cr)
MABA 6321 - Data Management and Big Data
(2.0 cr)
MABA 6341 - Data Visualization
(2.0 cr)
MABA 6411 - Exploratory Data Analytics
(2.0 cr)
MABA 6421 - Predictive Analytics
(2.0 cr)
MABA 6431 - Advanced Topics on Business Analytics
(2.0 cr)
MABA 6441 - Causal Inference via Econometrics and Experimentation
(2.0 cr)
MABA 6451 - Prescriptive Analytics
(2.0 cr)
MABA 6490 - Special Topics in Applied Business Analytics
(1.0 cr)
Electives (4 credits)
Select at least 4 credits from the following:
ENTR 6025 - Introduction to Entrepreneurship
(2.0 cr)
ENTR 6036 - Managing the Growing Business
(2.0 cr)
FINA 6322 - Financial Modeling
(2.0 cr)
IDSC 6041 - Information Technology Management
(2.0 cr)
IDSC 6051 - Information Technologies and Solutions
(2.0 cr)
MBA 6031 - Financial Accounting
(3.0 cr)
MBA 6111 - Organizational Behavior
(2.0 cr)
MBA 6211 - Marketing Management
(3.0 cr)
MBA 6301 - Strategic Management
(3.0 cr)
MGMT 6004 - Negotiation Strategies
(2.0 cr)
MGMT 6032 - Strategic Alliances
(2.0 cr)
MGMT 6033 - Strategy Implementation
(2.0 cr)
MGMT 6084 - Management of Teams
(2.0 cr)
MILI 6985 - The Health Care Marketplace
(2.0 cr)
MKTG 6052 - Marketing Analytics: Managerial Decisions
(2.0 cr)
MKTG 6084 - Persuasion and Influence
(2.0 cr)
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Credits: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall |
Credits: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Spring |
Credits: | 1.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall |
Credits: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall |
Credits: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall |
Credits: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Spring |
Credits: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall |
Credits: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall |
Credits: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall |
Credits: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall |
Credits: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Spring |
Credits: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Spring |
Credits: | 1.0 [max 1.0] |
Grading Basis: | A-F only |
Typically offered: | Periodic Fall & Spring |
Credits: | 4.0 [max 4.0] |
Grading Basis: | A-F only |
Typically offered: | Every Spring |
Credits: | 2.0 [max 4.0] |
Grading Basis: | A-F only |
Typically offered: | Every Spring & Summer |
Credits: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Spring & Summer |
Credits: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Spring & Summer |
Credits: | 2.0 [max 2.0] |
Course Equivalencies: | IDSc 6040/MBA 6241 |
Grading Basis: | A-F only |
Typically offered: | Every Fall, Spring & Summer |
Credits: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall & Spring |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall, Spring & Summer |
Credits: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall, Spring & Summer |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall, Spring & Summer |
Credits: | 3.0 [max 3.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall & Spring |
Credits: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall, Spring & Summer |
Credits: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Periodic Fall & Spring |
Credits: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Periodic Fall & Spring |
Credits: | 2.0 [max 2.0] |
Course Equivalencies: | HRIR 6484/Mgmt 6084 |
Grading Basis: | A-F only |
Typically offered: | Every Fall, Spring & Summer |
Credits: | 2.0 [max 2.0] |
Course Equivalencies: | MILI 5990/6990/3585/5585 |
Grading Basis: | A-F only |
Typically offered: | Every Fall & Spring |
Credits: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Fall & Spring |
Credits: | 2.0 [max 2.0] |
Grading Basis: | A-F only |
Typically offered: | Every Summer |