In response to COVID-19, the Glasscock School has moved the majority of our upcoming offerings online. Learn more here. 

Advanced Decision Analytics Certificate

A collaboration between Rice's George R. Brown School of Engineering and the Susanne M. Glasscock School of Continuing Studies.

Digital data visualization

Through a collaboration with Rice’s George R. Brown School of Engineering, the Glasscock School of Continuing Studies offers two unique certificate programs in the field of advanced data analytics. Courses can be taken individually to supplement existing skills or in combination to earn two certificate options - the Certificate of Completion in Supply Chain Analytics or the Certificate of Completion in Advanced Data Analytics.

Participants successfully completing the three Supply Chain Analytics courses and the two Advanced Data analytics courses will be awarded the Certificate of Completion in Advanced Data Analytics. Participants successfully completing the three Supply Chain Analytics courses will be awarded the Certificate of Completion in Supply Chain Analytics. Basic Microsoft Excel capabilities are required for these offerings.

FORMAT: These courses are offered through the Glasscock School’s Zoom-powered classroom, which gives students the opportunity to attend in person at the Rice campus or to attend and participate online. From class to class, students can choose how they wish to participate.  

Certificates and Courses

Advanced Decision Analytics Certificate

Participants successfully completing the three Supply Chain Analytics courses and the two Advanced Data Analytics courses will be awarded the Certificate of Completion in Advanced Data Analytics. Registrants of the Advanced Data Analytics Certificate program (five courses) receive a 20 percent discount off of each course. Courses may also be taken individually.

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Decision Analytics

Learn the simple science of Excel-based decision analytics to use relevant concepts from statistics to develop quantitative models that provide great data. Discover the decision analytics that even allows you to predict and plan potential scenarios before data is available!

Also, explore important questions such as expected monetary value for valuation. Additionally, the decision tree tool, which is the heart of this course, allows you to convert different projects/decisions/options to one financial metric, making it easy to compare projects and decisions. Basic Microsoft Excel capabilities are required for this offering.

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Factory Analytics

How can managers of manufacturing systems and supply chains increase revenues, lower costs and reduce lead-times in the constantly evolving and competitive business environment? Factory Analytics explores the basic scientific principles that govern the behavioral tendencies of manufacturing plants and provides practical insights and tools to manage in-process inventory, capacity, lead-time and variability to achieve the highest return.

Through the understanding of the physics of factory operations, learn to calculate performance measures, assess best- and worst-case performances of a production line, conduct internal benchmarking, evaluate the effects of machine failure, set-ups, and other disruptions on system performance, manage variability effectively, and design efficient and cost-effective processes. 

The format of this course includes lectures and problem-solving sessions. Excel based predictive and prescriptive analytics tools will be used for problem-solving. Basic Microsoft Excel, probability and statistics experience is required. 

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Supply Chain Analytics Certificate

Participants successfully completing the three Supply Chain Analytics courses will be awarded the Certificate of Completion in Supply Chain Analytics. Registrants of the Supply Chain Analytics Certificate program receive a 15 percent discount off of each course. Courses may also be taken individually.

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Prescriptive Analytics

This class will teach you how to solve complex problems using Excel-based discrete optimization tools. Optimization technology is omnipresent in our society. Applications are diverse from scheduling traffic lights to checkout lanes in grocery stores, from transportation of goods globally to organizing your personal time to meet deadlines. Optimization is needed everywhere for success.

This class is an introduction to discrete optimization and will expose participants to some of the most fundamental concepts in the field. It will cover modeling and optimization with linear and integer programming, teach scenario planning using what-if analysis, and discuss practical case studies and examples from project management, decision analysis, scheduling, allocation of resources, and supply-chain optimization. Basic Microsoft Excel capabilities are required for this offering.

Supply Chain Analytics

Supply chains are complex systems involving multiple organizations with different goals and objectives. Many different analytical approaches are used in practice to better design and manage these supply chain ecosystems. In this course, focus on the application rather than the theoretical aspects. Emphasis will be on a variety of fundamental supply chain applications such as transportation, capacity allocation, production planning, network flow, vehicle routing, aggregate planning, sales and operations planning, and network design. Using Excel, gain hands-on experience in creating and solving optimal distribution, planning and logistics problems. The format of this course includes lectures and problem-solving sessions.Basic Microsoft Excel capabilities are required for this offering.

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Inventory Management

Master your inventory with this fluid course on inventory optimization using Excel-based (statistical) tools. Topics in this course include the economic order quantity model, dynamic lot sizing, statistical inventory models, bullwhip effect, and inventory positioning and logistics coordination in supply chains. In addition, using the tools discussed in this course, you are able to perform cycle stock, safety stock and service level calculations, and account for uncertain demands and backlogging. The format of this course includes lectures and problem-solving sessions. Basic Microsoft Office, probability and statistics experience is required.

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