Full-time MSBA

The MS in Business Analytics (MSBA) curriculum balances a depth of analytical training with a breadth of business knowledge. The rigorous and fast-paced program consists of fundamental business courses custom-tailored to data science, technical skills courses, and advanced courses in analytics methods and problem solving.

Course Descriptions

The full-time MSBA program begins in June each year and consists of three intensive semesters. Each semester contains 15 credits of coursework for a total of 45 graduate degree credits. Classes for the full-time MSBA  program meet during the day.

Summer Semester Focus: Business and Management Fundamentals

MSBA 6250 Analytics for Competitive Advantage (3 credits)

Case- and discussion-based introduction to a variety of analytics-related issues and examples in business, including business value, impact, benefits and limitations, as well as ethical, legal, and privacy issues; use of case studies, examples, guest speakers.

MSBA 6120 Introduction to Statistics for Data Scientists (3 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.

MSBA 6310 Programming and Application Development (3 credits)

Fundamentals of structured and object-oriented programming in various application environments, development of web-based and mobile applications, programming for statistical and scientific computation.

MBA 6030 Financial Accounting (3 credits)

Basic principles of financial accounting, involving the consecution/interpretation of corporate financial statements. 

MBA 6210 Marketing Management (3 credits)

Management of the marketing function; understanding the basic foundational marketing concepts and skills in strategy development and planning of operational and strategic levels pertaining to product offering decisions, distribution channels, pricing, and communication.

Fall Semester Focus: Technical Fundamentals

MSBA 6320 Data Management, Databases, and Data Warehousing (3 credits)

Fundamentals of database modeling and design, normalization; extract, transform, and load; data cubes and setting up a data warehouse; data pre-processing, quality, integration, and stewardship issues; advances in database and storage technologies.

MSBA 6330 Big Data Analytics (3 credits)

Exploring big data infrastructure and ecosystems. Ingesting and managing big data, including analytics with big data. Using Hadoop, MapReduce, Sqoop, Pig, Hive, Spark, SQL. Machine learning and real-time streaming. Cloud computing and other recent developments in big data.

MSBA 6355 Building and Managing Teams (1.5 credits)

Examine individual, group, and organizational aspects of team effectiveness; learn and practice basic skills central to team management; develop appreciation for team leadership function; learn the tools for effective team decision making and conflict management; develop general diagnostic skills for assessment of team issues within and across organizations and national boundaries.

MSBA 6410 Exploratory Data Analytics and Visualization (3 credits)

Fundamentals of data exploration; detecting relationships and patterns in data; cluster analysis, hierarchical and partition-based clustering techniques; rule induction from data; advances in multi-dimensional data visualization.

MSBA 6420 Predictive Analytics (3 credits)

Fundamentals of predictive modeling and data mining; assessing 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.

Spring Semester Focus: Advanced Analytics Courses and Experiential Learning

MSBA 6430 Advanced Issues in Business Analytics (3 credits)

Analysis of unstructured data, fundamentals of text mining, sentiment analysis; fundamentals of network analysis, mining digital media and social networks, peer effects and social contagion models; personalization technologies and recommender systems.

MSBA 6440 Data-Driven Experimentation and Measurement (3 credits)

Controlled experiments in business settings, experiment design, A/B testing; specialized statistical methodologies; fundamentals of econometrics, instrument variable regression, propensity score matching.

MSBA 6450 Modeling and Heuristics for Decision Making and Support (3 credits)

Fundamentals of decision analysis, optimization, linear and integer programming, risk analysis, heuristics, simulation, decision technologies.

MSBA 6345 Project Management of Analytics Projects (1.5 credits)

Project management of full-stack analytics projects: identifying deliverables and a methodology; gathering requirements (use cases, user stories); estimating and staffing the project; monitoring project status (earned value and visual methods); team roles in an agile project.

MSBA 6510 Experiential Learning (6 credits)

Hands-on application of analytics methodologies, techniques, and tools learned throughout the program to a real-world problem (such as consulting for a real business client in the area of marketing, strategy, operation/supply chain, information technology, finance, accounting, or human resources) as well as the development and presentation of results, interpretations, insights, and recommendations.

Explore Experiential Learning in the Carlson Analytics Lab

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    The Carlson School is housed in two state-of-the-art buildings on the picturesque University of Minnesota campus, and come equipped with the latest technology in the classroom, laboratory, and beyond.

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