Digital Product Management Certificate

Introduction to mathematical modeling, optimization, and simulation, as applied to manufacturing and operations. Specific methods include linear programming, network flow problems, integer and nonlinear programming, discrete-event simulation, heuristics and computer applications for manufacturing processes, operations and systems. Restricted to Leaders for Global Operations students.
Staff

Examines how data analytics is used to transform businesses and industries, using examples and case studies in e-commerce, healthcare, social media, high technology, sports, the internet, and beyond. Demonstrates the use of analytics methods such as linear regression, logistic regression, classification trees, random forests, text analytics, social network analysis, time series modeling, clustering, and optimization. Uses R programming language. Includes team projects. Meets with 15.0711 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.

Introduces skills and capabilities for real-world problem solving to take technology from lab to societal impact: technical and functional exploration, opportunity discovery, market understanding, value economics, scale-up, intellectual property, and communicating/working for impact across disciplines. Students work in multidisciplinary teams formed around MIT research breakthroughs, with extensive in-class coaching and guidance from faculty, lab members, and select mentors. Follows a structured approach to innovating in which everything is a variable and the product, technology, and opportunities for new ventures can be seen as an act of synthesis. Teams gather evidence that permits a fact-based iteration across multiple application domains, markets, functionalities, technologies, and products, leading to a recommendation that maps a space of opportunity and includes actionable next steps to evolve the market and technology.
L. Perez-Breva, D. Hart

Covers the process of identifying and quantifying market opportunities, then conceptualizing, planning, and starting a new, technology-based enterprise. Topics include opportunity assessment, the value proposition, the entrepreneur, legal issues, entrepreneurial ethics, the business plan, the founding team, seeking customers and raising funds. Students develop detailed business plans for a start-up. Intended for students who want to start their own business, further develop an existing business, be a member of a management team in a new enterprise, or better understand the entrepreneur and the entrepreneurial process. Meets with 15.3901 when offered concurrently.

Built for students focused on financial services careers - professional asset management, financial product design, trading, sales, consulting, or regulatory oversight of the financial industry. Applies finance science and financial engineering tools and theory to asset management, lifecycle investing, and retirement finance. Focuses on foundational analytical tools students will rely upon throughout their careers - derivative pricing and risk measurement, portfolio analysis and risk accounting, and performance measurement to analyze and implement concepts and new product ideas. Students should be comfortable with portfolio-selection theory, CAPM, option pricing, futures, swaps, and other derivative securities. 15.433 is a strongly recommended co-requisite. Preference to MBA and MFin students.

Emphasizes programming in scripting languages (e.g., Python) within the context of emerging trends that underlie current and future uses of digital technologies in business. Provides a solid grasp of programming basics and the foundations of computing. Other topics include web technologies, database systems, digital experimentation (A/B testing), crowdsourcing, digital marketplaces, distributed ledger technologies, and AI.
A. Almaatouq

Provides understanding of the theory and processes of negotiation as practiced in a variety of settings. Designed for relevance to the broad spectrum of bargaining problems faced by the manager and professional. Allows students an opportunity to develop negotiation skills experientially and to understand negotiation in useful analytical frameworks. Emphasizes simulations, exercises, role playing, and cases.
Fall: B. Tewfik
Spring: J. Lu, J. Richardson

Imparts concepts, techniques, and tools to design, analyze, and improve core operational capabilities and apply them to a broad range of domains and industries. Emphasizes the effect of uncertainty in decision-making, as well as the interplay among high-level financial objectives, operational capabilities, and people and organizational issues. Covers topics in capacity analysis, process design, process and business innovation, inventory management, risk pooling, supply chain coordination, sustainable operations, quality management, operational risk management, pricing and revenue management. Underscores how these topics are integrated with different functions of the firm. Case studies and simulation games provide experience in applying central concepts and techniques to solve real-world business challenges. Meets with 15.7611 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details. Summer section is primarily for Leaders for Global Operations students.
 

Provides an introduction to supply chain management from both analytical and practical perspectives. Taking a unified approach, students develop a framework for making intelligent decisions within the supply chain. Covers key logistics functions, such as demand planning, procurement, inventory theory and control, transportation planning and execution, reverse logistics, and flexible contracting. Explores concepts such as postponement, portfolio management, and dual sourcing. Emphasizes skills necessary to recognize and manage risk, analyze various tradeoffs, and model logistics systems. SCM.271 meets with SCM.260, but has fewer assignments.
Angela Acocella, Chris Caplice

Covers modern tools and methods for product design and development. Includes a cornerstone project in which teams conceive, design and prototype a physical product and/or service. Covers design thinking, agile development, product planning, identifying customer needs, concept generation, product architecture, industrial design, concept design, green design methods, and product management. Sloan students register via Sloan course bidding. Engineering students accepted via lottery based on WebSIS pre-registration.

Framework for understanding pricing strategies and analytics, with emphasis on entrepreneurial pricing. Topics include economic value analysis, elasticities, customization, complementary products, pricing in platform markets, and anticipating competitive responses.
C. Tucker

Introduces proven methods for listening to customers and understanding their needs in order to generate new ideas to build the top line. Students practice experiential interviewing and discuss how to use metaphor analysis, observation, the voice of the customer, and other methods to uncover customer needs.

Teaches an integrated strategy framework for start-ups. Provides a deep understanding of the core strategic choices facing innovation-based entrepreneurs, a synthetic framework for the process of choosing and the implementation of entrepreneurial strategy, and the core challenges and approaches for scaling ventures over time. Highlights the process of how to choose an entrepreneurial strategy, the specific choices that matter, how key choices fit together to form an overall entrepreneurial strategy, and the playbook for particular strategies for startups.