Curriculum overview

Program Overview

The Analytics MBA is structured around three areas of greatest need for the leaders of tomorrow's technology-driven organizations, who must be able to speak the language of business, understand how to apply new innovations within business units and across the enterprise, and interpret data to identify trends and make strategic recommendations. Classes give you a broad set of skills that are applicable in any industry.

The curriculum is further enhanced by intensive mentorship and leadership training, ensuring students graduate as well-rounded professionals who understand how the technical and specialized aspects of the company serve as drivers for future growth.

The Analytics MBA isn’t just a classroom experience — it’s a fully immersive, technology-intensive learning lab where you’ll collaborate on group projects, prepare in-depth presentations, develop your personal growth and build real-world experience in the workplace. Frequent collaboration and extracurricular opportunities will help you build a meaningful network with your fellow students that will extend into your professional career.

AI-Driven Transformation in the MBA in Analytics

Artificial Intelligence is reshaping the MBA in Analytics at Stevens Institute of Technology, transforming how future business leaders harness data-driven insights, optimize operations and create competitive advantages. As AI automates complex data analysis and enhances predictive modeling, the Stevens MBA curriculum evolves to equip students with machine learning, big data analytics and AI-powered decision-making tools that are redefining the business landscape.

At Stevens, AI is not just an enhancement. It’s central to the learning experience. Students gain hands-on expertise with AI-driven business intelligence, automated forecasting and real-time analytics, applying these tools across finance, marketing, operations and strategy. Through experiential learning, industry collaborations and advanced data labs, the program ensures graduates are prepared to lead AI-powered transformations in their organizations. By integrating AI into every aspect of business education, Stevens is shaping the next generation of analytics-driven decision-makers and innovators.

Foundational Courses

These foundational courses are designed to provide management principles to students from non-business backgrounds who do not have prior training in accounting, finance, and statistics. Students may be exempt from these courses with relevant work history or an undergraduate business degree. Please check with an academic advisor for determination.

These three courses can be taken prior to the start of Analytics MBA classes.

This program at Stevens is available on campus and there is a fully online Analytics MBA available.

FIN 500 Financial and Managerial Accounting - 3 Credits

This course will provide the student with the principles and techniques of financial and managerial accounting for technical organizations. The emphasis will be on the use of financial data for decision making. The basics of accounting will briefly be covered, with the major amount of time spent on ways to understand, analyze and use the data for decision making. Budgeting and analysis of performance, as well as, recognizing fixed and variable expenses are other key areas of financial management. Issues of valuation, time value of money, uncertainty and risk will be integrated in the material. The one-term course will make extensive use of the text by Weygandt et al (see below), supplemented by cases, exercises, homework and examinations. Emphasis will be on real-world, practical application of the tools of finance to management decision making.

FIN 523 Financial Management - 3 Credits

This course covers the fundamental principles of finance. The primary concepts covered include the time value of money, principles of valuation and risk. Specific applications include the valuation of debt and equity securities as well as capital budgeting analysis, financial manager’s functions, liquidity vs. profitability, financial planning, capital budgeting, management of long term funds, money and capital markets, debt and equity, management of assets, cash and accounts receivable, inventory and fixed assets. Additional topics include derivative markets.

MGT 506 Economics for Managers - 3 Credits

This course introduces managers to the essence of business economics – the theories, concepts and ideas that form the economist’s tool kit encompassing both the microeconomic and macroeconomic environments. Microeconomic topics include demand and supply, elasticity, consumer choice, production, cost, profit maximization, market structure, and game theory while the Macroeconomic topics will be GDP, inflation, unemployment, aggregate demand, aggregate supply, fiscal and monetary policies. In addition the basic concepts in international trade and finance will be discussed.

Language of Business

One of the greatest points of frustration for technical employees is an inability to influence decision-making, as they are unable to translate their findings in ways that resonate with the C-suite. Courses in this block go beyond the basics to give you thorough command of how to understand scientific and technical advances from the viewpoint of a manager who must carefully deploy limited resources to ensure the pursuit of truly innovative developments.

FIN 638 Corporate Finance - 3 Credits

This course serves as a second semester sequence in corporate finance. Among the topics covered are: leverage on the balance sheet and weighted average cost of capital; bankruptcy, turnarounds, and recapitalizations; international currency hedging; stock options; private equity valuation; mergers and acquisitions; and the issuance of public and private securities.

MGT 699 Strategic Management - 3 Credits

An interdisciplinary course which examines the elements of, and the framework for, developing and implementing organizational strategy and policy in competitive environments. The course analyzes management problems both from a technical-economic perspective and from a behavioral perspective. Topics treated include: assessment of organizational strengths and weaknesses, threats, and opportunities; sources of competitive advantage; organizational structure and strategic planning; and leadership, organizational development, and total quality management. The case method of instruction is used extensively in this course.

MGT 641 Marketing Management - 3 Credits

The study of marketing principles from the conceptual, analytical, and managerial points of view. Topics include: strategic planning, market segmentation, product life-cycle, new product development, advertising and selling, pricing, distribution, governmental, and other environmental influences as these factors relate to markets and the business structure. 

MGT 663 Discovering & Exploiting Entrepreneurial Opportunities - 3 Credits

In this course, students will evaluate and create their own prospective business strategies. They will develop an understanding of entrepreneurship and innovation in starting and growing a business venture. Students will be given an opportunity to actually start their own business or create a business in their company by learning how to take advantage of the new order of business opportunities of the information age. This course’s main objective is to show students how to identify these opportunities, be able to formulate and evaluate both qualitatively and quantitatively whether the opportunity is worth pursuing, and, of course, how it may be pursued. Actual case studies and experiences will be intertwined with the course content.

Leadership and Innovation

Courses in this block are designed to work in tandem with the curricular thread of personal development, nurturing aspiring leaders to think critically about problems and creatively about resources in order to attack corporate missions with fearlessness.

MGT 612 Leader Development - 3 Credits

Project success depends, largely, on the human side. Success in motivating project workers, organizing and leading project teams, communication and sharing information, and conflict resolution, are just a few areas that are critical for project success. However, being primarily technical people, many project managers tend to neglect these "soft" issues, assuming they are less important or that they should be addressed by direct functional managers. The purpose of this course is to increase awareness of project managers to the critical issues of managing people and to present some of the theories and practices of leading project workers and teams.

EMT 695 Leading Creative Collaboration - 3 Credits

Innovative organizations are led by people who relentlessly nurture creative collaborations. These leaders stimulate imagination, teach others how to turn imagination into creativity, and build group structures and processes to enable people to turn creative ideas into innovations that drive business results. This course builds individual awareness of creativity and collaboration skills while increasing the student’s capacity for both. It teaches the science behind techniques, tools, interpersonal skills, leadership skills, organizational strategies, and environmental designs that increase group effectiveness. The overall goal is to strengthen the student’s ability to lead others to address meaningful problems and possibilities wherever they may be found.

EMT 696 Human-Centered Design Thinking - 3 Credits

This course deals with the theory and methods associated with design thinking, a problem-solving protocol that spurs innovation and solves complex problems. Design thinking involves a unique form of inquiry which goes well beyond product and service design. Students will develop an appreciation for design and develop skills for studying design systems. These concepts and methods have wide applicability as they can be used to design organizations of people, information structures, compensation systems as well as the entire consumer experience. Applying these approaches can often create entirely new systems that are more useful and usable. The logic of this approach can sometimes solve “wicked problems” which have defied previous solutions.

MIS 714 Service Innovation - 3 Credits

This course leads students through the identification, analysis, definition, and deployment of service opportunities within public and private organizations. Each of these phases is analyzed in detail to encompass the principal activities, methods, tools and techniques applied in the respective phase. Students will learn how to identify appropriate supporting techniques and information technologies for the different phases of the service life cycle, assess the role of technology, and gauge the organizational impact of service-focused operations. The objective of the course is to enable students to identify, implement and evaluate innovative service offerings in their organization.

Analytical Thinking

Most technical professionals are capable analysts who are most comfortable delving into technical, rather than financial or managerial, challenges. Courses in this block emphasize highly advanced analytics techniques that will teach you the ways successful managers look at and use data in understanding how markets work and making better recommendations to guide the enterprise.

BIA 500 Business Analytics: Data, Models and Decisions - 3 Credits

This course explores data-driven methods that are used to analyze and solve complex business problems. Students will acquire analytical skills in building, applying and evaluating various models with hands-on computer applications. Topics include descriptive statistics, time-series analysis, regression models, decision analysis, Monte Carlo simulation and optimization models.

BIA 652 Multivariate Data Analysis - 3 Credits

This course introduces basic theory and methods underlying multivariate analysis. Students will study techniques used for regression, classification, dimension reduction, and clustering. They will build expertise in applying these techniques to real data through class exercises and a project, and learn how to present results. This proficiency will enable students to become sophisticated data analysts, and to help make more informed design, marketing, and business decisions. Python will be the default programming language used for the course.

MIS 637 Data Analytics & Machine Learning - 3 Credits

This course will focus on Data Mining & Knowledge Discovery Algorithms and their applications in solving real world business and operation problems. We concentrate on demonstrating how discovering the hidden knowledge in corporate databases will help managers to make near-real time intelligent business and operation decisions. The course will begin with an introduction to Data Mining and Knowledge Discovery in Databases. Methodological and practical aspects of knowledge discovery algorithms including: Data Preprocessing, k-Nearest Neighborhood Algorithm, Machine Learning and Decision Trees, Artificial Neural Networks, Clustering, and Algorithm Evaluation Techniques will be covered. Practical examples and case studies will be presented throughout the course.

BIA 610 Applied Analytics - 3 Credits

This course is intended to integrate all previously taken courses in the program by presenting a set of increasingly complex business problems. These problems can be solved through analytic skills taught in this and previous courses. In particular, the course is intended to reinforce the understanding of analysis as a way to build models that can focus attention on parts of the system that can be improved through intervention. The early part of the course uses synthetic data and empirical data readily available for analysis. The second part of the course encourages students to state and solve their own problem, gathering their own data as a part of the analytic process.

Industry Capstone Program

After completing the rest of the curriculum, students complete the MGT 809 Industry Capstone Program.

This three-credit course trains graduate students in the application of tools and methods used by management consultants to provide advisory services to clients. Students will work on an industry project with a team of their peers. They will scope and plan the underlying project, develop a statement of work, and design and deliver status update presentations. Students will learn how to facilitate meetings with different groups of stakeholders over the course of the project, manage client expectations, and apply their disciplinary and technical knowledge to the project. 

Meet the Program Director

Headshot of Program Director Brian RothschildBrian Rothschild currently works as Assistant Dean for Graduate Studies as well as the Senior Director of Management Programs at Stevens Institute of Technology School of Business. He has been in higher education for over 30 years in both technology and business education. Brian has worked extensively in business process reengineering as well as running international and domestic conferences. Brian has a passion for helping students in every aspect of their life as they begin their careers or are using education to move up the corporate ladder faster.

Brian earned his doctorate in Organizational Leadership from Nova Southeastern University, an MS in Educational Psychology from Fordham University and a MBA in Organizational Behavior and a BA in Economics from Iona University.

Frequently Asked Questions (FAQs)

What is An MBA In Analytics?

The Analytics MBA combines the core principles of business administration with a deep focus on data analytics. Throughout the program, students learn how to apply data-driven techniques to solve business problems and make informed decisions. The Analytics MBA equips graduates with the ability to bridge the gap between business strategy and data analysis allowing them to use predictive models, machine learning and data visualization to optimize organizational performance.

In a world driven by data, an Analytics MBA offers students a competitive edge by providing the tools and knowledge to leverage data for strategic decision-making and operational improvement.

What Do MBAs in Analytics Graduates Do?

Graduates of an Analytics MBA program are skilled in both business leadership and data analysis. They collect, analyze and interpret data to help companies make informed decisions. Common responsibilities include developing predictive models, analyzing trends and creating data-driven strategies to improve efficiency and profitability.

Analytics MBA graduates often work closely with executive teams to translate data-driven insights into actionable business strategies. Their unique combination of business and analytical skills makes them essential for organizations that rely on data to drive their success.

What is the Difference Between an Analytics MBA and a Traditional MBA?

Unlike a traditional MBA that focuses on general business principles, an Analytics MBA integrates AI, big data and predictive modeling, preparing graduates for data-driven decision-making roles in finance, tech and consulting

How Long Does it Take to Complete the Analytics MBA?

The program can be completed in as little as 12-18 months, full-time or part-time, for working professionals.

What Industries Hire MBA in Analytics Graduates?

An MBA in Analytics prepares graduates for high-demand roles across various industries that rely on data-driven decision-making, AI and business intelligence. Some of the top industries hiring MBA in Analytics graduates include:

  • Finance & Investment Banking

  • Technology & Artificial Intelligence

  • Consulting & Business Strategy

  • Healthcare & Pharmaceuticals

  • Retail & E-Commerce

  • Fintech & Cryptocurrency

  • Supply Chain & Logistics

  • Energy & Sustainability

  • Sports & Entertainment

Why Choose Stevens for an MBA in Analytics?

  • Prime Location Near Wall Street

  • Flexible Schedule for Executives

  • GMAT/GRE Optional

  • Career Advancement & High ROI

You May Recognize This Program As...

  • Master of Business Administration in Analytics

  • MBA in Business Analytics

  • MBA in Data Analytics and Strategy

  • Business Analytics MBA

  • MBA in Business Intelligence & Analytics

  • Data Analytics MBA

  • MBA in Data-Driven Decision Making

  • MBA in AI & Business Analytics

  • MBA in Financial Analytics 

  • MBA in Digital & Business Analytics

  • Quantitative Analytics MBA

  • MBA in Predictive Analytics

  • MBA in Data Science & Analytics

  • Strategic Analytics MBA

  • MBA in Big Data & AI

  • Tech-Driven Analytics MBA

  • MBA in Marketing & Analytics 

  • MBA in Operations & Analytics