Project Management Master’s program at University of California-Davis

Artificial Intelligence Data Analysis Executive Certificate Program.

During the one-year course, you will work as part of a team to solve complex data analytics problems and then present your recommendations to the client company.

The objective of this project is to take the learnings from the optimization model in Phase one (completed last year) and continue to improve upon the logic to involve parameters and data points as well as expand the scope to include Online Consumer demand and transfers back to regional distribution centers to support that demand. This project will enable students to apply their skills in a very challenging and critical area in the field of chain analytics.

On this project students will look at the current predictive models against real data and retrain the models. Students will also develop a tool for dynamically analyzing the -demand balance in various regions, and a process to use that tool to adjust advertising budget to focus on areas that have need for the allocated funds.

AAM is currently undergoing a $90 million expansion project set to complete in 2020.

The project goal is to provide Bowles management with actionable intelligence on crop rotation to strategically optimize yields and revenues. As a companion to optimized crop rotation, the students are tasked with creating a risk management practice to robustly predict and minimize negative impacts of factors such as water allocations, market prices, and weather.

The Challenge of changing a business is in the risk that its organization will not successfully adapt to the accompanying new demands. This project will give students invaluable experience and insight onto the organizational design industry. It will also require students to develop a demonstrable capability to use and coordinate predictive analytics, business user collaboration platforms, and management communications.

Students will get a first-hand view of how financial models and pricing information drive a successful business. They will work on pricing and discount analysis, revenue management, and various customer segmentation methods along with the ins and outs of the electric vehicle domain.

Clean Robotics is a clean-tech start-up developing AI-powered trash-bots for automated waste management.

This project presents the students a unique opportunity to develop real-world data analytics around CleanRobotics flagship product TrashBot and its software system. This project also offers the student an opportunity to gain experience in standing up commercial processes with an early-stage company experiencing rapid growth.

The COPA Data Initiative team is responsible for optimizing the current search engine for the COPA online forum by developing a content scoring system. The focus is on improving the user experience by providing weighted search results with the help of Natural Language Processing. On the administrative side, the COPA team aims to provide a dashboard to monitor site performance through custom metrics.

Working with the DHCS team will give students invaluable experience and insight into the California health services programs. Students will get an in-depth insight into the collection, analysis, management, and dissemination of quality data and data products for programs to make sound, data-driven decisions supporting program needs and requirements regarding health care in California.

Health Care Services (DHCS).

On this project students will dig deep into large, real-world data sets and understand consumer behavior from both the consumer and retailer perspective. In addition to opportunities to implement descriptive analytics, this project offers a rich test bed to improve students forecasting (prescriptive analytics) skill set.

Students will learn the business processes involved, including data privacy laws and the economics of selling or renting an algorithm. The strategic research component of this project gives students a rare opportunity to research and set analytics and business strategy during a crucial company pivot.

This project is designed to provide students with experience in Data Engineering, Visualization and Machine Learning. Students will get hands-on experience in seeing how Gain Credit is pushing the boundaries of lending science, using machine learning and advanced analytics, and reshaping what it means to be a fintech company.

Kiva is an international nonprofit, founded in 2005 in San Francisco, with a mission to help the than 1.7 billion unbanked around the world who cannot access much-needed financial services. MSBA students are developing analytical insights and models to enable Kiva to grow the value and use of its programs. Specifically, they are employing data science to understand increase uptake and stickiness, which product and marketing features provide greatest value to users, and position different lending products to maximize impact.

While working on this project, students will gain deep skills in data analytics, modeling and consumer trends.

This project is something completely different. Students will work with the conversational AI startup to build a chatbot which will take the best instruction from the best math teachers and make it available to students worldwide.

Shipping packages that are optimally sized to the dimensions of their contents through its hardware and software solutions. Its products have an enormous environmental impact, reducing the use of corrugated fiberboard as well as fill materials like polystyrene, as well as shipping costs and damage. MSBA students are applying analytics to design next-generation automation solutions that combine image acquisition from state-of-the-art stereoscopic cameras with Packsize existing packaging and fulfillment solutions for a fast-expanding e-commerce sector.

A part of the Fortune 500 (NYSE: PSA), Public Storage owns and operates 2500+ facilities across 38 states we employ thousands of associates across the United States. Public Storage believes that analyzing and improving digital customer engagement is a critical differentiator that we can use to create even customer value. To that end, the goal of the MSBA project is to develop a full-stack analytics implementation focused on eCommerce analytics.

Students on this project will dive deep into the ever-growing Compute market and analyze consumer needs, changing market demands and rapidly growing technological advancements to provide business insights to Qualcomm.

REEF is the largest operator of mobility, logistics hubs, and neighborhood kitchens in the United States, Canada, and has a growing presence in Europe. Partnering with the MSBA program allows REEF to pair its rich data infrastructure with cutting-edge decision technologies and enthusiastic young talent from UC Davis to boost its workforce management systems and outcomes.

Reviewbox is an early stage technology startup focused on delivering e-commerce data and analytics to consumer brands. Currently, Reviewbox utilizes their dashboard for descriptive analytics. They have partnered with the UC Davis MSBA Program to try to drive meaningful insights through three sub-projects that involve predictive and prescriptive analytics.

Students on this project will provide a set of software tools and create staff workflows to convert the unstructured condition data into quality structured condition data as efficiently as possible.

Students will have an excellent opportunity to understand customer journeys and online purchase behavior, as well as participate in the full life cycle of data attributions model developments. This is a small, nimble silicon valley startup and students will get to work directly with the founders who are subject matter experts in their fields.

The MSBA team is applying Machine Learning and advanced Data Science to drive customer retention, churn and expansion decisions at this cloud-based enterprise log management and analytics-as-a-service vendor. Sumo Logic is a SaaS company that helps customers monitor, troubleshoot and secure business-critical applications via a secure, cloud-native, continuous intelligence platform.

Students on this project will work on creating an early anomaly detection or early warning of changes in product (medication) utilization. They will use predictive analytics to accurately forecast both near-term and longer-term demand for medications given the anomaly detection. They will also use prescriptive analytics to optimize inventory carrying levels, reorder points, and safety stock to offer the best service possible to all of UCDH patients.

The region only academic health center, UC Davis Health is focused on discovering and sharing knowledge and providing the highest quality of care. As providers compete for patients based on both convenience and quality, improving patient access by decreasing wait times is becoming increasingly important for UC Davis Health. The Access to Care project leverages analytics and multiple data sources to provide UCD Health patients with the right care in the right setting at the right time. That requires the student team to assess and propose improvements to existing models to better manage current and projected provider capacity by specialty. The end-goal is to use enhanced model recommendations to inform operational decisions and identify operational tactics to improve access.

The region only academic health center, UC Davis Health is focused on discovering and sharing knowledge and providing the highest quality of care. As healthcare has become increasingly consumer-driven, it has become imperative for hospitals and health systems to have a deep understanding of the people they serve (i.e., the patients). The MSBA team is developing a robust and scalable system to provide UC Davis Health leadership with actionable feedback-based insight using statistical and machine learning modeling.

The region only academic health center, UC Davis Health is focused on discovering and sharing knowledge and providing the highest quality of care. The inventory of the pharmacy the UC Davis Health system costs over $200 million every year. The student team has been tasked with reducing costs by optimizing inventory levels. The initiative has required the team to analyze historical trends, develop insightful visualizations, and forecast spending. A key deliverable has been a real-time forecasting dashboard that allows pharmacists to track inventory status and highlight significant reorder points.

The region only academic health center, UC Davis Health (UCDH) is focused on discovering and sharing knowledge and providing the highest quality of care. As the only Level 1 trauma center in inland Northern California, the Emergency Department sees hundreds of patients each day. The MSBA student team is extending UCDH current ability to compute, visualize and predict key care measures to better identify service utilization trends and gaps in resources for PEH. The goal is to create a predictive analytics solution that will help evaluate the impact of new interventions to avoid unnecessary utilization and improve patient satisfaction and clinical outcomes for this population.

Veritec is an innovation-led pricing and revenue management solution consulting firm specializing in non-traditional and emerging application domains. One such area has been self-storage. Veritec solutions optimize both pricing for new customers as well as rent increases for existing customers of self-storage facilities. Veritec offers state-of-the art dynamic pricing methods that allow self-storage operators to offer multiple prices for inventory for which only a single price traditionally applied, often with automated day-to-day adjustments.

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