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MS-EI degree tracks
Expand your perspective and maximize the value of your Master of Science in Entrepreneurship and Innovation (MS-EI) degree with an optional third-semester track in a complementary business discipline. Building upon the core curriculum, these additional courses pair with applied experience in the field to prepare you for a variety of dynamic career opportunities.
Choosing to add an optional third-semester track will extend the length of your program. Adding an optional track will also impact your overall program cost. Ask a recruiter to learn more.
Applied AI and business analytics track
In these courses, you'll develop in-demand skills and leverage technology and data to capitalize on opportunities and improve strategic agility. Discover how you can integrate AI and business analytics with entrepreneurship to translate data into insights, increase operational efficiency, and drive innovation.
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.
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.
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.
Provides a survey of concepts, structure and analytical tools that lay the foundation for employing quantitative techniques (descriptive and predictive) to gain insights that help decision makers make better decisions. Familiarizes students with descriptive statistics, probability and probability distributions, confidence intervals, hypothesis testing, linear regression, logistic regression and forecasting methods.
Addresses the use of analytics tools and techniques to enhance the ability of quality management approaches to improve processes. Introduces modern quality management approaches including six sigma and design for six sigma. Covers the define, measure, analyze, improve and control (DMAIC) improvement cycle: the core process used to drive six sigma projects. DMAIC refers to a data-driven improvement cycle used for improving, optimizing and stabilizing business processes and designs. Provides an analytics roadmap to help users work through the DMAIC problem-solving process.
Financial technology track
The fintech industry is transforming the business landscape by democratizing access to advanced financial tools and insights for businesses of all sizes. Through specialized courses, learn how cutting-edge technologies like machine learning and blockchain drive growth and innovation, create new customer experiences, and make funding opportunities more accessible.
Develops analytical techniques and financial theories used to make optimal decisions in a corporate setting.
Contemporary financial accounting and reporting systems; emphasizes the interpretation and evaluation of a company's external financial reports.
Blockchain is a revolutionary technology incorporating aspects of data science, economics, computer science, and law. The course allows students to obtain basic understanding of the blockchain technology as it relates to financial technology (FinTech) with applications to cryptocurrencies, smart contracts, and decentralized finance.
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.
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.
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 FIN 509 and emphasizes forecasting for the optimization of portfolios.
Explores modern artificial intelligence (AI) and machine learning (ML) technology, applications, techniques and their implications for finance.
Intermediate- to advanced-level course in derivative assets such as options, forward and futures contracts, swaps and financial engineering.
Marketing track
Marketing plays a pivotal role in entrepreneurial ventures as consumer behavior and technology continue to evolve. In courses that balance theoretical knowledge with practical application, you'll learn how to develop effective marketing strategies and utilize technology to craft compelling brand stories and engage customers. Gain the marketing expertise needed to drive business growth and adapt to market changes.
Managing the marketing function; market and environmental analysis; marketing planning, strategy, and control concepts. Development and management of marketing programs.
Covers three major components: (1) a consideration of what it means to be 'customer centric'; (2) development of qualitative and quantitative market research techniques; and (3) application of this material to project situations.
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.
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.
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.
Supply chain management track
An innovative and entrepreneurial approach to supply chain management is crucial for businesses to stay competitive, sustain growth, and keep operations efficient. Build upon the MS-EI program and learn how robust supply chain management forms the backbone of global commerce.
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.
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.
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).
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.