The Analytics MBA at Stevens is a STEM program for recent college graduates who have studied a technical discipline, have limited professional experience and want to quickly earn an advanced degree to compete for exciting jobs at the world’s most prestigious companies — where, increasingly, even early-career work requires a master’s.
Here, faculty present traditional themes like strategy, marketing, finance and accounting through an analytical, problem-solving lens, with an emphasis on applying data-intensive methods to industry challenges. And the program’s structure encourages your personal and professional development through career support, mentorship and business immersion.
No graduate business education is complete without an opportunity to apply what you've learned on a project of consequence. At Stevens, that takes many forms — a consulting assignment with an industry partner, a research project that addresses an industry need, even the chance to nurture your own entrepreneurial venture — and is customized for you, your education and your career aspirations.
The MBA in Analytics at Stevens is a learning lab that reimagines the skills a graduate business degree needs to provide for aspiring leaders in an increasingly digital economy. Coursework is a critical piece of the MBA experience at Stevens, but just as important are the experiential components that will round out the portfolio of skills you’ll use to get the job you most want.
The Analytics MBA at Stevens is a learning lab that reimagines the skills a graduate business degree needs to provide for aspiring leaders in an increasingly digital economy. Coursework is a critical piece of the MBA experience at Stevens, but just as important are the experiential components that will round out the portfolio of skills you’ll use to get the job you most want.
More about the program
You'll be matched with a mentor who shares your work interests, giving you an invaluable resource as you begin your career — from interviewing tips to identifying companies where you can excel.
INSIDE THE HANLON FINANCIAL SYSTEMS CENTER
The Stevens focus on applied business analytics is something you can’t learn from a textbook. Here, you’ll use tools like Mezzanine, Bloomberg, WRDS and OneTick to think critically about data, collaborate effectively and create dynamic visualizations.
INSIDE THE HANLON FINANCIAL SYSTEMS CENTER
Agility, vision, iteration — even if you don't plan to start a business, these entrepreneurial traits are greatly valued by hiring managers. The program's entrepreneurship lab will challenge you to create a successful product and seek funding.
The Analytics MBA at Stevens 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.
These foundational courses to the Analytics MBA are designed to provide management principles to students from non-business backgrounds. Students may be exempt from these courses with relevant work history or an undergraduate business degree. The three courses can be taken prior to the start of classes.
Foundational courses are intended for students who do not have training or prior coursework in accounting, finance and statistics. Students who have passed the CFA level 1 exam are exempt; students who have not passed the exam will work with their advisor to determine which courses they may waive. A course in business writing and communication also is required. This can be fulfilled through a MOOC.
FIN 500 Financial and Managerial Accounting
This course will develop accounting analysis useful for managerial decision-making purposes. Topics will include an introduction to elements of financial accounting, cost-profit-volume analysis, manufacturing costs and elements of cost accounting, special decision analysis, budgeting, variances, and controllability and responsibility accounting.
FIN 523 Financial Management
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.
MGT 506 Economics for Managers
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
The Analytics MBA is available for full- and part-time students. Full-time applications are accepted in three distinct cycles. To be considered for admission, all materials must be submitted by the deadline.
Included in admission offer
Part-time applications to this program are accepted on a rolling basis.
Admission to the Analytics MBA is highly competitive. To be considered for this program, your application must include the following.
All candidates to this program are required to submit GMAT or GRE scores with their application; part-time applicants with work experience may be eligible to waive this requirement. Only students with excellent test scores will be deemed a fit for the coursework. However, it's important to keep in mind that your test scores are only one feature of your application, and will be considered along with your other credentials. Please use the following reporting codes to submit test scores to Stevens:
International students also must include TOEFL or IELTS scores along with their applications.
Your application must include official transcripts from all universities you have attended, or in which you are currently enrolled. These records must show your name, the name of the university attended, enrollment dates, coursework completed and grades assigned. Your bachelor's degree must be in science, mathematics, computer science, engineering or a related discipline. Your degree also must come from an accredited institution, and you must have attained a B average, to be considered.
Given the highly technical nature of this degree, students are required to have completed one semester of calculus and one semester of basic probability, hypothesis testing and estimation prior to starting the program. Stevens offers noncredit courses for students needing to satisfy this requirement.
Work experience is not a requirement for this master's program. However, the admissions committee values applicants with at least one year of professional experience. You must include a résumé with your application that highlights:
Work and internship experience.
Stevens often invites master's candidates to interview prior to making an admissions decision. If you are selected for an interview after submitting your application, you will receive instructions via email.