Analytics and Information Management Certificate (STEM)

Program Overview

This program offers a series of certificate courses in Analytics and Information Management, covering topics such as data analytics, information systems management, data querying, predictive analytics, and behavioral analytics. The courses provide a foundation in technical skills and knowledge essential for professionals in the field of data analytics. The program is offered in both online and hybrid modalities, providing flexibility for students.

Program Outline

Outline:

Certificate Courses:

• ISYS-610 - Analytics and Information Management
> Statistical and technical understanding are essential for the AIM professional. This > course focuses on creating a solid foundation of technical skills, which will be applied > in downstream courses. Topics will include programming concepts and logic, descriptive, > predictive and prescriptive statistics, and data storage techniques. Prerequisites: > NoneOffered in online and hybrid modalities every fall semester.
• ISYS-611 - Information Systems Ecosystem
> Within the context of data analytics, this course teaches students to manage information > as a strategic asset with the potential to create significant business value. Students > will be exposed to various approaches to managing the capture, retention and disposition > of information. Special emphasis will be placed on the legal/regulatory, ethical, > risk management and cybersecurity requirements of managing information. Topics include > the role of information systems in an organization, information systems governance > (which is designed to ensure that IT investments create organizational value), data > governance (which seeks to ensure that organizational data meet the standards for > quality data), and strategies for identifying measurable sources of ROI. Prerequisites: > NoneSubstitutes for ISYS-525 Managing Information (1.5 cr.) in the MBA curriculum. Offered > online every fall and summer semester.
• ISYS-612 - Data Querying
> Modern organizations use database management systems to store their critical business > data. In this course, students learn to answer business questions using various data > retrieval, manipulation and transformation tools. For instance, data retrieval for > most data-driven business applications relies on Structured Query Language (SQL) - > the international standard language for data manipulation and retrieval. To source > the data required by analytics projects, students will learn to utilize SQL along > with other data-related concepts and languages. Prerequisites: NoneOffered in online and hybrid modalities every fall semester.
• ISYS-620 - Predictive Analytics with Machine Learning
> Artificial intelligence (AI) is the science of getting computers to learn and solve > problems autonomously without being explicitly programmed (machine learning). In the > past decade, through machine learning, AI has given us self-driving cars, practical > speech recognition, effective web search, and a vastly improved understanding of the > human genome. Companies are increasingly applying AI technologies and techniques to > uncover new business insights and assist managers with making better informed and > timely decisions. This course will cover concepts and algorithms in artificial intelligence > with an emphasis on machine learning. Students will learn about the most fundamental > machine learning techniques, gain practice implementing them and applying them to > new problems. Prerequisite: ISYS 610 Analytics and Information Management. Offered in online and hybrid modalities every spring semester.
• ISYS-622 - Behavioral Analytics with Visualization
> E-commerce and social media have experienced rapid growth during the past decade. > Billions of users have been generating and sharing a variety of social content including > text, images, videos, and related metadata. Social media can be viewed as an indicator > reflecting different aspects of the society, and organizations can combine this with > their existing data to support organizational decision-making. In this course, students > will learn how to analyze behavioral data and apply the analyses to answer business > questions. Advanced regression techniques, network concepts, and social theories will > be covered throughout the course. Prerequisite: ISYS 610 Analytics and Information > Management.Offered in online and hybrid modalities every spring semester.