Twin Cities campus

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

Business Analytics Postbaccalaureate Certificate

CSOM MS Business Analytics
Curtis L. Carlson School of Management
Link to a list of faculty for this program.
Contact Information
MBA & MS Programs Office 1-110 Carlson School of Management 321 19th Ave S, Minneapolis, MN 55455 Phone: 612-625-5555
Email: carlsoncert@umn.edu
Website: https://carlsonschool.umn.edu/degrees/graduate-certificates/general-business
  • Program Type: Post-baccalaureate credit certificate/licensure/endorsement
  • Requirements for this program are current for Fall 2023
  • Length of program in credits: 12
  • This program does not require summer semesters for timely completion.
  • Degree: Business Analytics Postbaccalaureate Certificate
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.
Business analytics and data science is one of the most sought after skill sets in modern industry. The Business Analytics certificate offers candidates the skills to extract insights with creative data analysis, and then apply the results in real business settings.
Program Delivery
  • via classroom (the majority of instruction is face-to-face)
  • primarily online (at least 80% of the instruction for the program is online with short, intensive periods of face-to-face coursework)
  • partially online (between 50% to 80% of instruction is online)
Prerequisites for Admission
Applicants must have a bachelor’s degree from an accredited institution.
Other requirements to be completed before admission:
Please review the Admissions Checklist online for detailed admissions requirements: https://carlsonschool.umn.edu/degrees/graduate-certificates/admissions-requirements
Special Application Requirements:
- Demonstrated competency in computer programming in at least one of the following computer programming languages is required: Python, R, C, C++, C#, VB, Java, PHP, Pascal, or Fortran. Academic transcripts, certificates from online courses, or work experience may be cited to meet this requirement. - At least one-semester college level math course (e.g. Calculus, Linear Algebra) is required.
International applicants must submit score(s) from one of the following tests:
  • TOEFL
  • IELTS
Key to test abbreviations (TOEFL, IELTS).
For an online application or for more information about graduate education admissions, see the General Information section of this website.
Program Requirements
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.
At least 1 semesters must be completed before filing a Degree Program Form.
Required Coursework (12 credits)
Take the following courses:
MABA 6121 - Practical Statistics for Business Applications (2.0 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 6131 - Mathematics Essentials for Business Analytics (2.0 cr)
 
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MABA 6121 - Practical Statistics for Business Applications
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Fall
Concepts/principles of business statistics, data analysis, and presentation of results. Topics include exploratory data analysis, basic inferential procedures, statistical process control, time series/regression analysis, and analysis of variance. These methods are selected for their relevance to managerial decision making and problem-solving.
MABA 6251 - AI for Competitive Advantage
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Fall
Case-, technical-, and discussion-based introduction to strategic use of artificial intelligence for firm strategy. Topics include: business value, impact, benefits, and limitations. Course is equally divided by cases, discussion, lecture, and technical demonstration.
MABA 6311 - Programming for Business Analytics
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Fall
Introduction to Python with a focus on steps of using data for decision making; topics include: data acquisition, parsing, handling missing data, summarization, augmenting, transformation, subsetting, sampling, aggregation, and merging. prereq: Programming experience
MABA 6321 - Data Management and Big Data
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Spring
Fundamentals of database modeling and design; extract, transform, and load; data pre-processing, quality, integration, and stewardship issues; advances in database and storage technologies for unstructured and big data.
MABA 6341 - Data Visualization
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Fall
The use of visualization for exploring (and communicating with) data: discover patterns, answer questions, convey findings, drive decisions, and provide persuasive evidence. The students will have practical, hands-on experience with interactive data visualization using modern, state-of-the-art software on real-world datasets.
MABA 6131 - Mathematics Essentials for Business Analytics
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Spring
Fundamentals of decision analysis, optimization, linear and integer programming, risk analysis, heuristics, simulation, decision technologies.