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Masters of Appl Bus Analytics (MABA) Courses

Academic Unit: Info & Decision Sciences

MABA 6121 - Practical Statistics for Business Applications

(2 cr; A-F only; 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 6131 - Mathematics Essentials for Business Analytics

(2 cr; A-F only; offered Every Spring)

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

MABA 6141 - Ethics, Data Privacy, and Governance

(1 cr; A-F only; offered Every Fall; may be repeated for 2 credits)

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 6251 - AI for Competitive Advantage

(2 cr; A-F only; 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

(2 cr; Prereq-Programming experience ; A-F only; 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.

MABA 6321 - Data Management and Big Data

(2 cr; A-F only; 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

(2 cr; A-F only; 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 6411 - Exploratory Data Analytics

(2 cr; A-F only; offered Every Fall)

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 cr; A-F only; offered Every Fall)

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, naive Bayesian classifiers, neural networks.

MABA 6431 - Advanced Topics on Business Analytics

(2 cr; A-F only; offered Every Fall)

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 6441 - Causal Inference via Econometrics and Experimentation

(2 cr; A-F only; offered Every Spring)

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

MABA 6451 - Prescriptive Analytics

(2 cr; A-F only; offered Every Spring)

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

MABA 6490 - Special Topics in Applied Business Analytics (Topics course)

(1 cr; A-F only; offered Periodic Fall & Spring)

Discussion and analysis of topics and developments in applied business analytics.

MABA 6511 - Experiential Learning

(4 cr; A-F only; offered Every Spring)

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.

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