Twin Cities campus

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Twin Cities Campus

Applied Business Analytics M.A.B.A.

Information & Decision Sciences
Curtis L. Carlson School of Management
Link to a list of faculty for this program.
Contact Information
Carlson School of Management (CarlSMgmt 7041Z) Carlson MBA & MS Programs 321 19th Ave S, Room 1-110 Minneapolis, MN 55455
  • Program Type: Master's
  • Requirements for this program are current for Fall 2021
  • Length of program in credits: 32
  • This program does not require summer semesters for timely completion.
  • Degree:
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.
The Applied Business Analytics program provides a strong foundation in business analytics by combining technical know-how that includes machine learning, artificial intelligence, applied statistics, optimization, econometrics, experimentation, data visualization, data engineering and big data with an understanding on how they may be applied in domains such as marketing, consumer behavior, operations, financial and risk management, information management, and strategic management in both public and private sectors. Students who graduate from this part-time, two-year, 32-credit program will have the substantial quantitative capabilities and technical expertise to create business and social value by extracting useful insights from data and providing data-driven solutions to business problems for a variety of career settings.
Accreditation
This program is accredited by AACSB International.
Program Delivery
  • via classroom (the majority of instruction is face-to-face)
Prerequisites for Admission
Applicants must have a bachelor's degree from an accredited college or university.
Other requirements to be completed before admission:
- Demonstrated proficiency in computer programming is required. The following programming languages satisfy the requirement: Python, R, C, C++, C#, VB, Java, Pascal, and Fortran. - Applicants must have completed at least one semester college-level Math course (e.g. Calculus, Linear Algebra) with a grade of "C" or better (or grade equivalent).
Special Application Requirements:
Applicants must submit all application materials through the University's admissions system. Application materials include: - Transcripts from all colleges/universities previously attended. Non-English transcripts must be accompanied by an English translation. - A GMAT or GRE General Test that is not more than five years old, with an acceptable score. A GMAT/GRE waiver is available for qualified candidates. - For international students, an acceptable score on the Test of English as a Foreign Language (TOEFL) International Language Testing System (IELTS). - Two letters of recommendations need to be submitted through the online application. - A personal statement of career goals, and objectives for pursuing the MABA degree. The personal statement questions are the following: Briefly describe your short-term and long-term career goals. Why are you choosing to pursue MABA degree at this time in your career, and what are you hoping to accomplish by doing so? Why are you interested in pursuing MABA degree at the Carlson School of Management? What do you feel makes you a strong candidate for the program? How will you contribute to the MABA program overall? Applicants must submit a current resume that includes job responsibilities and accomplishments in the online application. - Video essay - Applicants may choose to submit an essay to comment on any item(s) in their application they consider worthy of further explanation. - Applicants may be required to complete an admissions interview, which are by invitation only.
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
Plan C: Plan C requires 32 major credits and up to credits outside the major. There is no final exam. A capstone project is required.
Capstone Project: Students complete MABA 6511, in which they engage in an experiential-learning application of the analytics methodologies, techniques, and tools learned throughout the program to a real-world problem. The final project consists of the development and presentation of results, interpretations, insights, and recommendations.
This program may not be completed with a minor.
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.
Required Courses (24 credits)
Take the following courses:
IDSC 6490 - Advanced Topics in MIS (2.0 cr)
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 6411 - Exploratory Data Analytics (2.0 cr)
MABA 6421 - Predictive Analytics (2.0 cr)
MABA 6431 - Advanced Topics on Business Analytics (2.0 cr)
MABA 6441 - Causal Inference via Econometrics and Experimentation (2.0 cr)
MABA 6451 - Prescriptive Analytics (2.0 cr)
Capstone Course (4 credits)
Take the following course:
MABA 6511 - Experiential Learning (4.0 cr)
Electives (4 credits)
Select at least 4 credits from the following:
ENTR 6025 - Introduction to Entrepreneurship (2.0 cr)
ENTR 6036 - Managing the Growing Business (2.0 cr)
FINA 6322 - Financial Modeling (2.0 cr)
IDSC 6041 - Information Technology Management (2.0 cr)
MBA 6031 - Financial Accounting (3.0 cr)
MBA 6111 - Organizational Behavior (2.0 cr)
MBA 6211 - Marketing Management (3.0 cr)
MBA 6301 - Strategic Management (3.0 cr)
MGMT 6004 - Negotiation Strategies (2.0 cr)
MGMT 6032 - Strategic Alliances (2.0 cr)
MGMT 6033 - Strategy Implementation (2.0 cr)
MGMT 6084 - Management of Teams (2.0 cr)
MKTG 6084 - Persuasion and Influence (2.0 cr)
 
More program views..
View college catalog(s):
· Curtis L. Carlson School of Management

View future requirement(s):
· Fall 2023
· Fall 2022
· Spring 2022

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IDSC 6490 - Advanced Topics in MIS
Credits: 2.0 [max 10.0]
Grading Basis: A-F only
Typically offered: Periodic Fall & Spring
Discussion and analysis of topics and developments in managing information systems.
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 6411 - Exploratory Data Analytics
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically 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
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically 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, naïve Bayesian classifiers, neural networks.
MABA 6431 - Advanced Topics on Business Analytics
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically 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
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically 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
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.
MABA 6511 - Experiential Learning
Credits: 4.0 [max 4.0]
Grading Basis: A-F only
Typically 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.
ENTR 6025 - Introduction to Entrepreneurship
Credits: 2.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Spring & Summer
The course helps students develop insights on starting and sustaining a successful venture. The course focus is on opportunity identification and evaluation: Where do new venture ideas come from? How do you recognize a good business idea? How can a so-so idea be improved to be a good opportunity? Students will focus on five characteristics of a good entrepreneurial opportunity: Creating significant customer value, profit potential, profit durability, founder and team fit, and amenability to financing. prereq: MBA or Mgmt Sci MBA student
ENTR 6036 - Managing the Growing Business
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Spring & Summer
Challenges posed by rapid growth/change in independent startups. Infrastructure development, radical changes in strategy, continuous needs for substantial additional resources. Emphasizes analysis of factors accelerating/impeding growth and review/creation of growth strategies. Integration of concepts from strategy, operations, marketing, finance, and human resource management. prereq: MBA or Mgmt Sci MBA student
FINA 6322 - Financial Modeling
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Spring & Summer
Financial modeling tools to access financial data warehouses to build, estimate, maintain, and interpret comprehensive financial models that provide the framework for understanding businesses and their historical performance, plans/strategies, and market values. Financial analytics/modeling skills, including data mining of large standard financial databases (warehouses) (e.g. Capital IQ), and a manageable introduction to Excel VBA programming. prereq: MBA 6231 (previously MBA 6230), MBA or Mgmt Sci MBA student
IDSC 6041 - Information Technology Management
Credits: 2.0 [max 2.0]
Course Equivalencies: IDSc 6040/MBA 6241
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
Management of information systems, information technology (IT) in global organization. Strategic uses of IT. Alignment of IT, organizational strategy, internet/Web technologies, e-commerce customer services. Integration of e-business applications, interorganizational systems, systems implementation. Management of information as resource. Lecture, case analysis, classroom discussion. Prereq MBA student.
MBA 6031 - Financial Accounting
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
Basic principles of financial accounting, involving the consecution/interpretation of corporate financial statements. prereq: MBA or Mgmt Sci MBA Student
MBA 6111 - Organizational Behavior
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
Organizational behavior offers a framework for the systematic study of how people behave in organizational settings and involves individual, group, and organizational characteristics that affect people and their behavior at work. In this course we consider how individual workers respond to their job and organization (attitudes and motivation), interpersonal processes and how to make them more effective (decision making, conflict management, teamwork), and the role organizational culture in shaping individual and group behavior. Topics come together as we consider how to effectively lead organizational change. Prior to Fall 2022 the course number was MBA 6110. Prior to Spring 2023 the course name was Leading Others.
MBA 6211 - Marketing Management
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
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. prereq: MBA student
MBA 6301 - Strategic Management
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Fall & Spring
This course focuses on the competitive strategy of the firm, examining how firms achieve and maintain superior profitability relative to their competitors in the long run, and the firm's role in building a more just and sustainable world. Starting from overall industry analysis, we cover how firms position themselves to succeed in various competitive contexts based on their resources and capabilities. We then analyze how firms innovate and adapt their capabilities over time, especially in the digital age. We extend our analysis to the scope choices of the firm and discuss how firms can successfully compete across multiple countries and businesses. Throughout the course, case discussions examine and simulate the process through which strategic decisions are made and carried out. Students are placed in the role of decision-makers and frequently asked to analyze the key choices they must make to define, reinforce, and successfully implement the firm's strategy. prereq: MBA or Mgmt Sci MBA student
MGMT 6004 - Negotiation Strategies
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
At its core, negotiation is the art and science of getting what you want in a world of innumerable interests, possibilities, and standards of fairness---a world in which we must often compete or cooperate with others to do anything from picking a restaurant to transforming markets. The objective of this course is to equip students with a simple, ready-to-use framework from which we can prepare for and engage in negotiations. Topics include interest-based bargaining, psychological biases, multiparty negotiations, and hard tactics. Regular cases and exercises reinforce our negotiation framework and provide students a safe forum to thoughtfully reflect on their experiences and improve. prereq: MBA or Mgmt Sci MBA student
MGMT 6032 - Strategic Alliances
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Periodic Fall & Spring
How inter-/intra-alliance rivalry influences global competitive landscape. How interplay of competitive/cooperative arrangements among firms invigorate intellectual/operational tasks. Designing/managing international strategy, organizational structure, and alliances. prereq: MBA or Mgmt Sci MBA student
MGMT 6033 - Strategy Implementation
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Periodic Fall & Spring
This course focuses on strategy execution at both the organizational and functional levels. Specific topics include the relationships between strategy formulation and execution, and between implementation and change. The course goes into depth on the systemic and structural problems that make most of these efforts difficult and often unsuccessful, along with various methods to minimize these problems. prereq: MBA or Mgmt Sci MBA student
MGMT 6084 - Management of Teams
Credits: 2.0 [max 2.0]
Course Equivalencies: HRIR 6484/Mgmt 6084
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
Factors that influence performance and well-being of groups in organizations. Group dynamics, norms, culture, structure, leadership, decision-making, and problem-solving. Managing dynamics, learning, performance, and creativity of groups. Intergroup relations, incentives, and effect of environment.
MKTG 6084 - Persuasion and Influence
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Summer
Successful marketers, leaders and communicators must not only make the right decisions-they must also influence others. Successfully managing other people depends on managing the influence process. Doing this effectively requires understanding the psychology of persuasion. This course is about the science of influence & persuasion. Through deeper understanding of human psychology, you will learn scientifically-tested and practical tools to become more influential in your dealings with consumers, clients, coworkers, & managers. Through a mix of lecture, discussion, reading, reflection, and experiential exercises, you will master the tools to be able to mobilize others by strategically crafting your communications. prereq: MBA 6210/6211, MBA student