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MABA Program Curriculum & Structure

Earn a Degree in Data Analytics While You Work

Companies across industries collect troves of data that could be used to make smarter business decisions. What's needed are more analytics professionals who can analyze, interpret, and unlock the value in that data. The Carlson School's Master of Applied Business Analytics teaches working professionals to become the data-savvy leaders today's businesses need. It's world-class analytics education with maximum flexibility thanks to the HyFlex delivery model.


Take 2 classes at a time and finish your degree in 2 years.


The program is 32 credits in total, covering a range of analytics topics.


Attend classes online or in person, switch whenever you need. You're in control.

Analytics Applied to Business

The MABA program introduces students to a full range of analytics techniques: From exploratory analysis to predictive analytics, forecasting, and optimization. And from machine learning to econometrics, experimentation, and artificial intelligence. You'll get hands-on experience with data visualization, data engineering, and big data. And you'll learn how various analytics approaches can be applied in domains such as marketing, consumer behavior, operations, financial and risk management, supply chains, and strategic management.

MABA Course Descriptions

The Carlson School's innovative curriculum design splits the traditional semester into A and B terms. This allows students to focus on fewer topics at a time, without adding to the program's overall duration.

MABA 6121 - Practical Statistics for Business Applications (2 credits)
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 6311- Programming for Business Analytics (2 credits)
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.

MABA 6341 - Data Visualization (2 credits)
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 6251 - AI for Competitive Advantage (2 credits)
Case-, technical-, and discussion-based introduction to the strategic use of artificial intelligence for firm strategy. Topics include business value, impact, benefits, and limitations. The course is equally divided into cases, discussions, lectures, and technical demonstrations.

MABA 6441- Causal Inference via Econometrics and Experimentation (2 credits)
Controlled experiments in business settings, experiment design, A/B testing; specialized statistical methodologies; fundamentals of econometrics, instrument variable regression, propensity score matching.

MABA 6131 - Mathematics Essentials for Business Analytics (2 credits)
Fundamentals of decision analysis, optimization, linear and integer programming, risk analysis, heuristics, simulation, decision technologies.


MABA 6451 - Prescriptive Analytics (2 credits)
Fundamentals of decision analysis, optimization, linear and integer programming, risk analysis, heuristics, simulation, decision technologies.

MABA 6321 - Data Management & Big Data (2 credits)
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 6411 - Exploratory Data Analytics (2 credits)
Fundamentals of data exploration; detecting relationships and patterns in data; cluster analysis, hierarchical and partition-based clustering techniques; rule induction from data.

MABA 6421 - Predictive Analytics (2 credits)
Fundamentals of predictive modeling and data mining; assessing the performance of predictive models; machine learning and statistical classification and prediction; logistic regression; decision trees, random forests; k- nearest neighbor techniques, naïve Bayesian classifiers, neural networks.

MABA 6431 - Advanced Topics on Business Analytics (2 credits)                                            Analysis of time series data; understanding its components including trend, seasonality, autocorrelation, and stationarity; model interpretation and forecasting; traditional statistical and modern machine-learning views of temporal dependency; combining time series analysis with other business analytical tools to discover hidden knowledge and gain competitive advantages ahead of time.

MABA 6141 - Ethics, Data Privacy, and Governance (1 credit)
Introduction to the legal, policy, and ethical implications of data, including privacy, surveillance, security, classification, discrimination, etc. Examines legal, policy, ethical, and governance issues throughout the full data-science life cycle - collection, storage, processing, analysis, and use.

MABA 6490 Special Topics in Applied Business Analytics (1 credit)

Fall 2021 Topic: Machine Learning System Design

Machine Learning System Design is a set of practices that aims to deploy and maintain machine learning models in production reliably and efficiently. The course is aimed at teaching students beyond jupyter notebooks and to deploy models at scale. ML engineering is at the center of building ML-enabled systems, which concerns the development and operationalization of production-grade ML systems. ML engineering provides a superset of the discipline of software engineering that handles the unique complexities of the practical applications of ML.

MABA 6511 - Experiential Learning (4 credits)
Hands-on, integrative application of analytics methodologies, techniques, and tools learned throughout the program in the context of a specific analytics problem. Introduction to agile project management. Experience with the entire data analytics cycle, starting from business and data understanding as well as data cleaning and integration and ending with the development and presentation of results, interpretations, insights, and recommendations.

    MABA students need 4 credits of electives to complete the program. Electives may be completed at any time throughout the program, including summer semesters. Prerequisites apply.

    (Floating; 4 credits)

    • MKTG 6084 - Persuasion and Influence
    • IDSC 6040 - Information Technology Management
    • MBA 6110 - Leading Others
    • FINA 6322 - Financial Modeling
    • MGMT 6004 - Negotiation Strategies 
    • MGMT 6033 - Managing the Strategy Process
    • MGMT 6032 - Strategic Alliances
    • MGMT 6084 - Management of Teams 
    • ENTR 6036 - Managing the Growing Business 
    • ENTR 6020 - Business Formation

    HyFlex Delivery:
    Attend on Campus or Online, Switch Whenever You Need

    HyFlex Courses Put You in Control

    HyFlex classes offer the freedom to flex between an online and in-person experience. With HyFlex, MABA students can accommodate work commitments and family schedules and still earn an advanced degree.

    Choose the mode that fits your learning style and schedule. Change whenever you need to, even from one class meeting to the next. HyFlex puts you, the student, in control.

    students in classroom

    Attend in Person, on Campus

    Attend face-to-face synchronous class sessions in a traditional classroom. Get out from behind the laptop screen and in front of your classmates and professors.

    person working on laptop

    Connect Online via Video

    Connect to live class sessions via video conferencing tools like Zoom. Perfect for when you need to travel for your job or balance family obligations.


    All students achieve the same learning objectives, regardless of delivery mode.


    Note: International students who require an F-1 visa are not eligible for the Master of Applied Business Analytics program. Alternatively, the Master of Science in Business Analytics program is a full-time day program available to international students.

    Master of Applied Business Analytics