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MS-BA Tracks

Beyond the core Master of Science in Business Analytics (MS-BA) curriculum, you can deepen your understanding in one industry area — and create a career blueprint — with optional third semester tracks and a summer internship.

The W. P. Carey School developed the master’s in business analytics with feedback from hiring companies and industry partners, and the MS-BA tracks in cloud computing and tech consulting, fintech, marketing analytics, and supply chain analytics will develop the expertise and skills that will set you apart in a competitive landscape of big data.

In addition to two required core courses and two required electives, each track expands your career preparation with a summer internship opportunity, as well as training on:

  • Goal setting and action planning
  • Your personal narrative and interviewing preparation
  • Managing executive presence
  • Navigating decision-making for a full-time offer

Cloud computing and tech consulting courses

Enterprise Information Security and Controls

Provides a broad survey of information security and controls, utilizing the COBIT framework to illustrate how information security and controls contribute to effective IT governance. Develops an understanding of the issues associated with information security and effective IT governance, with particular emphasis on how management contributes to the effectiveness of an organization's information security program.

Cloud Analytics

A small seminar class emphasizing discussion, presentations by students, and written research papers.

Business Process and Workflow Analysis

Builds foundations for process analysis by focusing on information, documents, people, roles and business rules. Provides an introduction to various techniques and tools of process analysis, including an understanding of organizational issues in rolling out change initiatives.

Artificial Intelligence and Business (elective)

Explores modern artificial intelligence (AI) technology, applications, techniques and their implications for business. People, process and technology factors related to the innovation and adoption of AI in the commercial enterprise and how it shapes the competition and society in the future. Also covers implications for information systems professionals as it pertains to managing the AI infrastructure (robots, algorithms, platforms).

Strategic Value of Information Technology (elective)

Instills balanced and disciplined view of IT and business with their interplay. Assigns cases and assignments involving the symbiotic relationship of IT and business to provide real-world exposure for critical thinking and engaging discussion.

Business Data Visualization (elective)

The design of insightful business data visualizations and dashboards to improve business decision making. Applies advanced data visualization techniques to make sense of large data sets including temporal, geospatial, topical and business data while also making it easier to digest, present and utilize for business needs and users.

Business Intelligence (elective)

Understanding how organizations make use of Business Intelligence (BI) to gain a sustainable competitive advantage. Builds the foundations for evidence-based managerial decision making. Covers technologies for data warehousing and data mining from a managerial perspective. Covers contemporary topics such as real-time BI, business analytics, and business performance management with the help of case studies, audio-video content, guest speakers, online forums to generate creative thinking and discussion.

Fintech courses

Managerial Finance

Develops analytical techniques and financial theories used to make optimal decisions in a corporate setting.


A small seminar class emphasizing discussion, presentations by students, and written research papers.

Financial Accounting (elective)

Contemporary financial accounting and reporting systems; emphasizes the interpretation and evaluation of a company's external financial reports.

Quantitative Methods in Finance I (elective)

Empirically investigates properties of financial data such as basic probability theory, matrix algebra, ordinary least squares, and maximum likelihood estimation. Explores these methods both through algebraic derivation and programmed implementation in PYTHON. Provides the basis for portfolio optimization by focusing on the estimation and testing of financial factor models.

Investment Strategies (elective)

Presents the fundamental principles of risk and return, portfolio diversification, asset allocation, efficient markets, active portfolio management, portfolio evaluation. Reviews selected alternative investment strategies such as hedge fund investments.

Derivatives (elective)

Intermediate- to advanced-level course in derivative assets such as options, forward and futures contracts, swaps and financial engineering.

Quantitative Methods in Finance II (elective)

Investigates financial data by using techniques such autoregressive and vector-autoregressive models, dimension-reduction techniques motivated by latent factor models and machine learning dimension-reducing techniques. Explores these methods using algebraic derivation and implementation in PYTHON. Builds on the statistical and programming skills developed in Qualitative Methods in Finance I and emphasizes forecasting for the optimization of portfolios.

Marketing analytics courses

Marketing Management

Managing the marketing function; market and environmental analysis; marketing planning, strategy, and control concepts. Development and management of marketing programs.

Strategic Brand Management

Some of a firm's most valuable assets are its brands. Building and effectively maintaining brand equity is one of a firm's top priorities. This course provides an understanding of strategic brand management and provides students with insights into how sustainable and customer-centric brand strategies can be created and leveraged over time.

B2B: Capturing Value Through Products, Services and Customer Solutions (elective)

Provides the tools and specialized knowledge for developing and executing marketing strategy in the business-to-business market. Covers how to identify forces that drive buying behavior in organizations, measure market opportunity, identify profitable segments, and develop strategy, particularly for turbulent, high-technology markets.

Digital Marketing Applications and Analytics (elective)

Gives the applied understanding of the internet marketplace that allows students to adapt to its many changes, while also equipping them with the practical skills needed to perform vital daily functions. Covers Web experience, SEO, search ads, social media marketing, content marketing, email marketing, mobile marketing. Through this process, students learn how digital marketing has revolutionized the interactions between firms and consumers.

Supply chain analytics courses

Logistics in the Supply Chain

Covers theories and practices of modern logistics management within a market-driven supply chain. Begins with an outline of reasons why some operations are not efficient, then introduces management tools to improve efficiency and responsiveness followed by application of analytical tools to evaluate the current logistic management practices. Topics include logistics strategy, demand management, distribution and warehouse management, distribution/warehouse design and location decisions, transportation and delivery frequency, reverse logistics, humanitarian logistics and responsive supply chains.

Operations and Supply Chain Management

Explores supply chain management topics including environmental, project and supply chain processes. Additionally, covers processes in the areas of new product introduction development; quality control; TQM (Total Quality Mgt).

Operations Planning and Execution (elective)

Studies management of the conversion of raw materials to finished goods including scheduling, work-in-process inventory management, and postponement/customization. Students gain a deeper understanding of the integrated supply chain of plan, source, make, deliver and return.

Strategic Procurement (elective)

Applies principles, philosophies and processes of supply management to facilitate the continuous improvement and strategic design of an organization's supply management system on a global basis. Focuses on topics like performance management and analytics, project management and governance and finance. Provides a comprehensive understanding of supply management and its impact on the organization.

Sustainability (elective)

A small seminar class emphasizing discussion, presentations by students, and written research papers.