Master of Applied Business Analytics Curriculum

Curriculum

The online Master of Applied Business Analytics program imparts a deep understanding of data analysis tools and techniques. You'll learn from faculty who provide a holistic view of business analytics during courses on exploratory and predictive data analytics, causal inference, and prescriptive analytics. The program emphasizes data engineering, enabling you to gather, interpret, and process complex data for further analysis. You'll complete most of the online program at your own pace, with limited synchronous sessions for group projects.

Program At-a-Glance

Flexibility is a cornerstone of the applied business analytics curriculum, with online courses and electives for varying career goals.

Start date
Start date
January and September
Duration
Duration
4 Semesters
Format
Format
Online
Work experience
Work experience
Not required
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Applied Business Analytics Courses

The applied business analytics courses delve into concepts relevant to developing systems for compiling, processing, and analyzing data and information from disparate sources. You can customize your Master of Applied Business Analytics degree for your goals via electives in generative AI, big data analytics in supply chains, and other advanced topics.

Explore the Courses

Program Structure

Minnesota Carlson offers the Master of Applied Business Analytics online and part time. This convenient structure makes it easier to continue working while completing the program. You'll take 10 core courses and four electives, learning from world-class faculty members who emphasize hands-on experience with data tools. The online program also includes an experiential learning project and provides opportunities for collaborating with your classmates.

Plan of Study

To help you envision your path to a Master of Applied Business Analytics degree, we've mapped out three of the most common degree completion timelines. These are three examples of possible approaches to completing your Applied Business Analytics degree. You have the power to complete your program on a timeline that matches your career goals. The flexibility offered by Carlson empowers students to map degree paths that are as individual as they are.

4 Semesters

Spring Start

Semester 1

  • MABA 6121 Practical Statistics for Business Applications (2 Credits)
  • MABA 6311 Programming for Business Analytics (2 Credits)
  • MABA 6341 Data Visualization (2 Credits)
  • MABA 6251 AI for Competitive Advantage (2 Credits)

Semester 2

  • MABA 6321 Data Management & Big Data (2 Credits)
  • Electives (4 Credits)

Semester 3

  • MABA 6411 Exploratory Data Analytics (2 Credits)
  • MABA 6421 Predictive Analytics (2 Credits)
  • MABA 6441 Causal Inference via Econometrics and Experimentation (2 Credits)
  • MABA 6345 Responsible AI (2 Credits)

Semester 4

  • MABA 6511 Experiential Learning (4 Credits)
  • Electives (4 Credits)

Fall Start

Semester 1

  • MABA 6121 Practical Statistics for Business Applications (2 Credits)
  • MABA 6311 Programming for Business Analytics (2 Credits)
  • MABA 6341 Data Visualization (2 Credits)
  • MABA 6251 AI for Competitive Advantage (2 Credits)

Semester 2

  • MABA 6411 Exploratory Data Analytics (2 Credits)
  • MABA 6421 Predictive Analytics (2 Credits)
  • MABA 6321 Data Management & Big Data (2 Credits)
  • Elective (2 Credits)

Semester 3

  • MABA 6511 Experiential Learning (4 Credits)
  • Electives (4 Credits)

Semester 4

  • MABA 6441 Causal Inference via Econometrics and Experimentation (2 Credits)
  • MABA 6345 Responsible AI (2 Credits)
  • Elective (2 Credits)

6 Semesters

Spring Start

Semester 1

  • MABA 6121 Practical Statistics for Business Applications (2 Credits)
  • MABA 6311 Programming for Business Analytics (2 Credits)
  • MABA 6251 AI for Competitive Advantage (2 Credits)

Semester 2

  • MABA 6321 Data Management & Big Data (2 Credits)
  • Elective (2 Credits)

Semester 3

  • MABA 6411 Exploratory Data Analytics (2 Credits)
  • MABA 6421 Predictive Analytics (2 Credits)
  • MABA 6341 Data Visualization (2 Credits)

Semester 4

  • MABA 6511 Experiential Learning (4 Credits)
  • Elective (2 Credits)

Semester 5

  • MABA 6345 Responsible AI (2 Credits)
  • Elective (2 Credits)

Semester 6

  • MABA 6441 Causal Inference via Econometrics and Experimentation (2 Credits)
  • Elective (2 Credits)

Fall Start

Semester 1

  • MABA 6121 Practical Statistics for Business Applications (2 Credits)
  • MABA 6311 Programming for Business Analytics (2 Credits)
  • MABA 6251 AI for Competitive Advantage (2 Credits)

Semester 2

  • MABA 6411 Exploratory Data Analytics (2 Credits)
  • MABA 6421 Predictive Analytics (2 Credits)
  • MABA 6341 Data Visualization (2 Credits)

Semester 3

  • MABA 6321 Data Management & Big Data (2 Credits)
  • Elective (2 Credits)

Semester 4

  • MABA 6345 Responsible AI (2 Credits)
  • MABA 6441 Causal Inference via Econometrics and Experimentation (2 Credits)

Semester 5

  • MABA 6511 Experiential Learning (4 Credits)
  • Elective (2 Credits)

Semester 6

  • Electives (4 Credits)

8 Semesters

Spring Start

Semester 1

  • MABA 6121 Practical Statistics for Business Applications (2 Credits)
  • MABA 6311 Programming for Business Analytics (2 Credits)

Semester 2

  • MABA 6321 Data Management & Big Data (2 Credits)
  • Elective (2 Credits)

Semester 3

  • MABA 6251 AI for Competitive Advantage (2 Credits)
  • MABA 6341 Data Visualization (2 Credits)

Semester 4

  • MABA 6411 Exploratory Data Analytics (2 Credits)
  • MABA 6421 Predictive Analytics (2 Credits)

Semester 5

  • Electives (4 Credits)

Semester 6

  • MABA 6441 Causal Inference via Econometrics and Experimentation (2 Credits)
  • MABA 6345 Responsible AI (2 Credits)

Semester 7

  • Elective (2 Credits)

Semester 8

  • MABA 6511 Experiential Learning (4 Credits)

Fall Start

Semester 1

  • MABA 6121 Practical Statistics for Business Applications (2 Credits)
  • MABA 6311 Programming for Business Analytics (2 Credits)

Semester 2

  • MABA 6341 Data Visualization (2 Credits)
  • MABA 6251 AI for Competitive Advantage (2 Credits)

Semester 3

  • MABA 6321 Data Management & Big Data (2 Credits)
  • Elective (2 Credits)

Semester 4

  • MABA 6411 Exploratory Data Analytics (2 Credits)
  • MABA 6421 Predictive Analytics (2 Credits)

Semester 5

  • MABA 6441 Causal Inference via Econometrics and Experimentation (2 Credits)
  • Elective (2 Credits)

Semester 6

  • MABA 6345 Responsible AI (2 Credits)
  • Elective (2 Credits)

Semester 7

  • MABA 6511 Experiential Learning (4 Credits)

Semester 8

  • Elective (2 Credits)

4 Semesters

Spring Start

Semester 1

  • MABA 6121 Practical Statistics for Business Applications (2 Credits)
  • MABA 6311 Programming for Business Analytics (2 Credits)
  • MABA 6341 Data Visualization (2 Credits)
  • MABA 6251 AI for Competitive Advantage (2 Credits)

Semester 2

  • MABA 6321 Data Management & Big Data (2 Credits)
  • Electives (4 Credits)

Semester 3

  • MABA 6411 Exploratory Data Analytics (2 Credits)
  • MABA 6421 Predictive Analytics (2 Credits)
  • MABA 6441 Causal Inference via Econometrics and Experimentation (2 Credits)
  • MABA 6345 Responsible AI (2 Credits)

Semester 4

  • MABA 6511 Experiential Learning (4 Credits)
  • Electives (4 Credits)

Fall Start

Semester 1

  • MABA 6121 Practical Statistics for Business Applications (2 Credits)
  • MABA 6311 Programming for Business Analytics (2 Credits)
  • MABA 6341 Data Visualization (2 Credits)
  • MABA 6251 AI for Competitive Advantage (2 Credits)

Semester 2

  • MABA 6411 Exploratory Data Analytics (2 Credits)
  • MABA 6421 Predictive Analytics (2 Credits)
  • MABA 6321 Data Management & Big Data (2 Credits)
  • Elective (2 Credits)

Semester 3

  • MABA 6511 Experiential Learning (4 Credits)
  • Electives (4 Credits)

Semester 4

  • MABA 6441 Causal Inference via Econometrics and Experimentation (2 Credits)
  • MABA 6345 Responsible AI (2 Credits)
  • Elective (2 Credits)

6 Semesters

Spring Start

Semester 1

  • MABA 6121 Practical Statistics for Business Applications (2 Credits)
  • MABA 6311 Programming for Business Analytics (2 Credits)
  • MABA 6251 AI for Competitive Advantage (2 Credits)

Semester 2

  • MABA 6321 Data Management & Big Data (2 Credits)
  • Elective (2 Credits)

Semester 3

  • MABA 6411 Exploratory Data Analytics (2 Credits)
  • MABA 6421 Predictive Analytics (2 Credits)
  • MABA 6341 Data Visualization (2 Credits)

Semester 4

  • MABA 6511 Experiential Learning (4 Credits)
  • Elective (2 Credits)

Semester 5

  • MABA 6345 Responsible AI (2 Credits)
  • Elective (2 Credits)

Semester 6

  • MABA 6441 Causal Inference via Econometrics and Experimentation (2 Credits)
  • Elective (2 Credits)

Fall Start

Semester 1

  • MABA 6121 Practical Statistics for Business Applications (2 Credits)
  • MABA 6311 Programming for Business Analytics (2 Credits)
  • MABA 6251 AI for Competitive Advantage (2 Credits)

Semester 2

  • MABA 6411 Exploratory Data Analytics (2 Credits)
  • MABA 6421 Predictive Analytics (2 Credits)
  • MABA 6341 Data Visualization (2 Credits)

Semester 3

  • MABA 6321 Data Management & Big Data (2 Credits)
  • Elective (2 Credits)

Semester 4

  • MABA 6345 Responsible AI (2 Credits)
  • MABA 6441 Causal Inference via Econometrics and Experimentation (2 Credits)

Semester 5

  • MABA 6511 Experiential Learning (4 Credits)
  • Elective (2 Credits)

Semester 6

  • Electives (4 Credits)

8 Semesters

Spring Start

Semester 1

  • MABA 6121 Practical Statistics for Business Applications (2 Credits)
  • MABA 6311 Programming for Business Analytics (2 Credits)

Semester 2

  • MABA 6321 Data Management & Big Data (2 Credits)
  • Elective (2 Credits)

Semester 3

  • MABA 6251 AI for Competitive Advantage (2 Credits)
  • MABA 6341 Data Visualization (2 Credits)

Semester 4

  • MABA 6411 Exploratory Data Analytics (2 Credits)
  • MABA 6421 Predictive Analytics (2 Credits)

Semester 5

  • Electives (4 Credits)

Semester 6

  • MABA 6441 Causal Inference via Econometrics and Experimentation (2 Credits)
  • MABA 6345 Responsible AI (2 Credits)

Semester 7

  • Elective (2 Credits)

Semester 8

  • MABA 6511 Experiential Learning (4 Credits)

Fall Start

Semester 1

  • MABA 6121 Practical Statistics for Business Applications (2 Credits)
  • MABA 6311 Programming for Business Analytics (2 Credits)

Semester 2

  • MABA 6341 Data Visualization (2 Credits)
  • MABA 6251 AI for Competitive Advantage (2 Credits)

Semester 3

  • MABA 6321 Data Management & Big Data (2 Credits)
  • Elective (2 Credits)

Semester 4

  • MABA 6411 Exploratory Data Analytics (2 Credits)
  • MABA 6421 Predictive Analytics (2 Credits)

Semester 5

  • MABA 6441 Causal Inference via Econometrics and Experimentation (2 Credits)
  • Elective (2 Credits)

Semester 6

  • MABA 6345 Responsible AI (2 Credits)
  • Elective (2 Credits)

Semester 7

  • MABA 6511 Experiential Learning (4 Credits)

Semester 8

  • Elective (2 Credits)

Frequently Asked Questions

Find answers to common questions about the online Master of Applied Business Analytics courses. To discuss a topic not covered here, contact us to connect with our admissions team.

You'll accrue 30 credit hours to earn the Master of Applied Business Analytics degree online. Visit the courses page for descriptions of the core and elective courses.

The online Master of Applied Business Analytics program includes 12 courses. To review descriptions of the core and elective courses, please visit the courses page.

No, you do not need to select a concentration or specialization. To tailor the program to your goals, you will choose from an array of electives focusing on generative AI and various analytics specialties. Review your options by visiting the courses page.

No, the online Master of Applied Business Analytics program does not follow a cohort model. You can complete the courses in your preferred order after meeting each prerequisite. To review descriptions of the core and elective courses, please visit the courses page.

No, the Master of Applied Business Analytics does not have a residency requirement.

Minnesota Carlson launched the online Master of Applied Business Analytics degree in Spring 2025. The curriculum is based on the in-person MS in Business Analytics program, which began in 2014 and is ranked among the world's best programs of its kind by Top Universities.

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Master of Applied Business Analytics

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