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Optional MS-FIN track

Beyond the core Master of Science in Finance (MS-FIN) curriculum, you can customize your degree and build skills and expertise in analytical methods by adding a third semester to your MS-FIN program. The optional track requires two additional core courses and two electives, and also creates a summer internship opportunity, as well as focused career preparation in:

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

Analytical methods courses

CIS 541 Business Data Visualization

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.

FIN 591 Blockchain

Learn about distributed and decentralized database technology that underlies cryptocurrency and other innovations. Understand the history and fundamentals of digital assets and their applications, including the potential impact on financial services and contracting.

CIS 505 Introduction to Enterprise Analytics

Ensuring the foundational understanding of contextualized analytics within the business enterprise continuum by covering how data flows and is managed across the landscape of enterprise business processes.

CIS 508 Data Mining I

Charting a roadmap for data-driven decision making and getting a practical understanding of how IT tools and techniques can allow managers to extract predictive analytics and patterns from primarily numeric data.

SCM 519 Analytical Decision Modeling II

Addresses the skills and knowledge necessary to model situations where uncertainty is an important factor. Covers models including decision trees, queuing theory, Monte Carlo simulation, discrete event simulation and stochastic optimization. Uses these models for a variety of common business problems and requires implementation of these models using Excel and standalone software. Studies how to ensure that these solutions work in a wide variety of situations (what-if analysis). Describes each of these methods in detail.