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 will be awarded the Certificate of Completion in Supply Chain 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.
Decision Analytics - Nov. 15-16, 2018
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.
Factory Analytics - Jan. 31-Feb. 1, 2019
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 probability and statistics experience is required.
Prescriptive Analytics - Feb. 28-March 1, 2019
Optimization technology is omnipresent in our society. Applications range from scheduling traffic lights sequence to checkout lanes in groceries, from transportation of goods and people using train, ship, or an airplane to organizing your personal time to meet work deadlines and still have enough family time. Optimization is essential to successfully meet every-day needs.
This class is an introduction to discrete optimization and exposes you to some of the most fundamental concepts in the field. Cover optimization models, linear programming case studies using Excel and scenario planning using what-if analysis in class. Also, learn an overview of how uncertainty can be modeled, optimization modeling from unconstrained to linear and integer programming and concepts applicable to areas such as project management, decision analysis, scheduling, allocation of resources, and supply-chain optimization.
Supply Chain Analytics - March 28- 29, 2019
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.
Inventory Analytics - April 25-26, 2019
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 probability and statistics experience is required.
- Professionals or managers in manufacturing or operations based businesses
- Professionals or managers in high volume healthcare systems
- Professionals or managers in refineries and chemical processing plants
- Professionals or managers in oilfield services
- Professionals or managers in logistics, supply chain or scheduling
Basic Microsoft Excel capabilities are required for this offering.
In-Person or Online
This course is 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.
Join us at an upcoming information session.SECURE YOUR SPOT