Data Management
Open to Full-Time MS in AI in Business Students
(Internship and Non-Internship Track)
This advanced certificate showcases a strong competence in analytics specifically tailored for students enrolled in the AI in Business (MSAIB) program. Only MSAIB students are eligible to earn this specialized credential, as it aligns closely with their program's focus. To achieve this certificate, students must dedicate all their elective credits to completing the three required courses, making it an integrated yet distinct pathway within the MSAIB curriculum.
Specialize in Data Management.
This Advanced Certificate of Achievement demonstrates a competence in data management.
To earn it, an MSAIB student must complete 7.5 credits. Students are required to take the required courses (each worth 2.5 credits):
- CIS 431: Big Data
This class offers an introduction to big data concepts, environments, processes, and tools from the perspective of data analysts and data scientists. The course sets the scene for the emergence of big data as an important trend in the business world and explains the technical architectures that make analyzing data at scale possible. The hands-on portion of the class focuses on the major tools of the Hadoop big data ecosystem, such as HDFS, Hive, Zeppelin, Spark, and Spark MLlib. In addition, students gain a broad understanding of the role of MapReduce, Tez, Impala, YARN, and other big data technologies. Students use a live Hadoop cluster hosted on Amazon Web Services (AWS) and thus also have an opportunity to understand the characteristics of cloud computing and storage solutions and their growing role in big data analytics.
- Big Data CIS 434: Social Media & Text Analytics
The rise of social media has empowered customers in an unprecedented way. They are well-connected with each other through platforms like Facebook and Twitter, and they can easily express and distribute their comments, criticisms, or endorsements publicly to large audiences in real time. This fundamental media revolution not only forces companies to actively manage their presence and engage with customers on social media platforms but also offers them a golden opportunity to extract intelligence from the vast amount of unstructured data. Technology and strategies are increasingly intertwined in this new frontier of innovation and competition. This course draws on a unique blend of social media strategies and the rapidly evolving information technologies supporting these strategies. We will discuss issues related to the monitoring and analyzing of social media for companies in different industries. The learning objectives of this course include: 1. Gaining a deeper understanding of social media and its implications in the business world. 2. Becoming comfortable with text data. 3. Being able to understand and apply several commonly used methods to analyze text data.
- CIS 467: Data Management, Warehousing, & Visualization
6
Benefits
• Receive a Certificate of Achievement in Data Management
• Class credits count toward certificate and degree
• Optional benefit with no additional cost or time to complete*
• Maintains STEM designation
• Signals expertise and career focus to corporate recruiters
*Students can only count credits from a master’s degree toward one advanced certificate of achievement. More than one advanced certificate during a master’s degree requires additional credits; accordingly, the student may incur additional costs.