Immerse yourself in data. Surface with strategies.
Immerse yourself in data. Surface with strategies.

MBA in Business & Managerial Analytics Specialization

In today's data-driven business landscape, organizations need leaders who can translate complex analytics into strategic decisions. Marquette University's Business & Managerial Analytics (BMAN) specialization prepares you to meet this growing demand, combining a comprehensive MBA curriculum with specialized training in business analytics, data science, and strategic decision-making. Equipped with keen data analysis skills, you’ll become a trusted resource for your team and a leader who drives innovation with data-backed insights.

Specialization details

Business & managerial analytics career outlook

36%
projected growth for data scientists through 20331
$112,590
median annual salary for data scientists1
11%
growth projected for management analysts2
$91,290
median annual salary for management analysts2

Tomorrow’s leaders start here

Embark on a journey where your potential is recognized, nurtured and expanded. The Marquette University online MBA transcends the confines of conventional classrooms by integrating real-world business challenges, cutting-edge digital strategy, and global leadership ethics into its 100% online program. Through direct engagement with industry leaders and access to an expansive network of alumni, you're not just prepared for the next step in your career—you're propelled toward it.

Discover how Marquette’s thorough coursework, flexible online format and supportive network can set you on the path to leadership.

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Drive business forward with advanced analytics

Combined with the core MBA program requirements, the Business and Managerial Analytics specialization creates a distinct pathway that prepares students for high-demand roles in today's data-rich world. Within the core online MBA courses, students cultivate fundamental business acumen in organizational management, strategic thinking, and ethical leadership. The specialized training in Python, R, and SQL, coupled with advanced business analytics and data visualization skills, equips students with the technical prowess to transform complex data into strategic business decisions.

The Business and Managerial Analytics specialization goes beyond mere technical skills, embedding a strategic framework for making informed decisions rooted in an ethics-centered approach to data management. This holistic education ensures graduates not only excel in analytical roles but also lead with integrity and vision in positions such as:

  • Data analytics manager
  • Business intelligence director
  • Management consultant
  • Financial analytics leader
  • Strategic planning director
  • Operations analytics manager
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Online MBA analytics specialization curriculum

Students intending to complete the Business and Managerial Analytics specialization will complete the core MBA courses.

Business analytics

All BMAN students must complete the follow ing course, which is also a requirement for all MBA students:

MBA 6100 Business Analytics (3 credit hours)

Provides a structured and effective way of tackling a wide range of managerial problems using analytics. Introduces students to basic concepts in business analytics and several quantitative techniques that are important for the practical analysis of a broad range of business problems and widely accepted by the practitioners. These techniques provide a framework to support managerial decision making. Lectures cover the topics in sufficient details to make one feel comfortable in their use. Also stresses the importance of critical thinking skills to make sound managerial decisions, to apply ethical reasoning to business situations and to communicate effectively in business settings.

Skills courses

All BMAN students must complete the following courses:

ECON 6114 R Programming (1 credit hour)

Explores the basic building blocks of statistical programming in R. Focuses on three parallel learning objectives: setting up an open-source software environment for practicing data science; translation of ideas to software solutions using R; and management and sharing of code.

Prerequisite: Admitted to the graduate ACCO, BMAN, BUAD, ECON or FINA program; or consent of MSAE program director.

ECON 6116 SQL (1 credit)

Fundamentals of the creation and use of databases using the programming platform Structured Query Language (SQL). Students learn to customize and manipulate databases with SQL to help gather data for presentations and analyses.

Prerequisite: Admitted to the graduate ACCO, BMAN, BUAD, ECON or FINA program; or consent of MSAE program director.

ECON 6118 Python Programming (1 credit hour)

Teaches the basics of programming with Python: writing and executing Python programs, learning the core data structures in Python, interacting with data, acquiring skill in data manipulation and using Python to access web data and data from databases.

Prerequisite: Admitted to the graduate ACCO, BMAN, BUAD, ECON or FINA program; or consent of MSAE program director.

Data analysis course

All BMAN students must complete the follow ing course, which is also a requirement for all MBA students:

COSC 6520 Data Analytics (3 credit hours)

Foundational topics in the analysis of data. Includes methodology for the development of data analytics systems. Examines technology employed for data analytics in a variety of industry segments and the benefits derived from data analytics. Foundations of text and data mining techniques commonly used for classification, clustering and prediction. Students are presented techniques for developing a business case, evaluating predictive performance and managing data. Includes exercises using analytic technology and a project to apply analytics to a customer application.

Analytics electives (9 credits)

All BMAN students must choose three of the following analytics-focused electives to complete the specialization:

MSF 6560 Financial Derivatives (3 credit hours)

Focuses on the mechanics, pricing, use of financial derivatives and use of programming language to price financial derivatives. Financial derivatives covered include futures, options, swaps, collateralized securities, Treasury Bond and Eurodollar. Discusses important pricing models, including Black-Scholes and the Binomial Option Pricing Model. Emphasizes risk management using these instruments. Uses programming language to understand and replicate the pricing of financial derivatives.

Prerequisite: Admitted to the graduate FINA program and MSF 6511; or consent of MSF program director.

FINA 6175 FinTech Foundations and Applications (3 credit hours)

Presents a variety of financial technology topics. Covers FinTech applications within banking, investments, insurance, and other financial sectors. Introduces the technical underpinnings, including basic programming, data analytics, artificial intelligence, cybersecurity and blockchain. Emphasizes ethics and explores digital privacy and security. The objective is to understand the impact of the convergence of technology, finance, regulation and ethics.

Prerequisite: Admitted to graduate ACCO, BMAN, ECON program; or BUAD and MBA 6010, MBA 6040 and MBA 6060; or consent of MBA program director.

HEAL 6830 Quality Improvement Science in Health Care (3 credits)

Explores improvement science including quality and patient safety theories, models, methods and tools. Application of measurement, data management and analysis to quality improvement and patient safety challenges.

HEAL 6835 Health Care Informatics, Technology and Professional Issues (3 credits)

Examines current health care realities, with an emphasis on the use of technology for policy, regulation, collaboration and interdisciplinary practice issues. Includes information technology applications in health care administration, clinical practice and education.

FAQs

How long does the Business and Managerial Analytics specialization take to complete?

The BMAN specialization requires at least one year of enrollment to complete and should not add any time to the completion of your MBA degree overall.

Do I need prior programming experience for this specialization?

No prior programming experience is required for the Business & Managerial Analytics Specialization. Marquette’s specialization courses are designed to build technical skills from the ground up.

Admissions Deadlines

Jul
14
Priority application deadline
July 14
Fall 2025 term
Aug
14
Application deadline
August 14
Fall 2025 term
Aug
25
Next start
August 25
Fall 2025 term
Sources
  1. Retrieved on April 21, 2025 from bls.gov/ooh/math/data-scientists.htm
  2. Retrieved on April 21, 2025, from bls.gov/ooh/business-and-financial/management-analysts.htm

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