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GRADUATE CERTIFICATE PROGRAMS
AI, Machine Learning and Automation in Business
Department of Business and Information Technology
Artificial intelligence (AI) is a disruptive technology in the business realm with transformational impact. From detecting malware and preventing money laundering, to automating insurance claims and optimizing inventory and improving product recommendations, and more — AI will continue to necessitate changes in core business processes and models. Within the past few years, machine learning, while not fully tapped in the business sphere, has become more effective and widely utilized. Tomorrow’s leaders and managers will need to integrate machine learning where appropriate, incorporating its capabilities with those of humans. The design and implementation of new combinations of technologies with human skills to meet customers’ needs will require critical thinking skills, creativity, and project planning.
Required Core Courses:
- BUS 5730 Machine Learning and Artificial Intelligence for Business
- IS&T 5535 Machine Learning Algorithms and Applications
Choose two from the following:
- BUS 6723 Artificial Intelligence, Robotics, and Information Systems
- IS&T 5520 Data Science and Machine Learning with Python
- IS&T 6443 Information Retrieval and Analysis
- IS&T 6445 Database Marketing
BUS 5730 Machine Learning and Artificial Intelligence for Business
Explores various approaches to machine learning and artifical intelligence, along with their numerous applications in business. Describes some of the many technological approaches to business probelms that are considered part of machine learning and artifical intelligence, such as neural networks and deep learning. Prerequisites: IS&T 1552 or Comp Sci 1510; or Graduate standing, understanding of management information systems, programming knowledge.
IS&T 5535 Machine Learning Algorithms and Applications
Introduces techniques of modern machine learning methods with applications in marketing, finance, and other business disciplines. Topics include regression, classification, resamplingn methods, model selection, regularization, decision trees, support vector machines, principal component analysis, and clustering, etc. R programming is required. Prerequisites: One of Stat 3111, Stat 3113, Stat 3115, Stat 3117 and either IS&T 1552 or Comp Sci 1510; or Graduate Standing with knowledge of calculus, statistics, and programming.
BUS 6723 Artificial Intelligence, Robotics, and Information Systems
The course, designed for business executives, covers management of information to revitalize business processes, improve business decision-making, embrace emerging and disruptive technologies, and gain competitive advantages. The course also covers implications of AI, automation, machines learning, and robotics on business and society. MBA Core. Prerequisites: Graduate Standing.
IS&T 5520 Data Science and Machine Learning with Python
Examines data science methodologies for scraping, manipulating, transforming, cleaning, visualizing, summarizing, and modeling large-scale data as well as supervised and unsupervised machine learning algorithms applied in various business analytics and data science scenarios. Python libraries such as Pandas, NumbPy, Matplotib, and Scikit-learn are utilized. Prerequisites: One of Stat 3111, Stat 3113, Stat 3115, Stat 3117 and either IS&T 1552 or Comp Sci 1510; or Graduate Standing with knowledge of calculus, statistics, and programming.
IS&T 6443 Information Retrieval and Analysis
Covers the applications and theoretical foundations of organizing and analyzing information of textual resources. Topics include information storage and retrieval systems, web search engines, text mining, collaborative filtering, recommender systems. Students will also learning the techniques with the use of interactive tools such as SAS. Prerequisites: ERP 5410 or statistics knowledge.
IS&T 6445 Database Marketing
Intro to methods and concepts used in database marketing: 1) predictive modeling techniques (e.g., regression, decision trees, cluster analysis) and 2) standard processes for mapping business objectives to data mining goals to produce a deployable marketing model. Metrics like lifetime value of a custer and ROI will be covered. Several application areas covered. Prerequisites: Statistics understanding, programming understanding, familiarity with spreadsheets.
The graduate certificate program is open to all individuals holding a BS, MS or PhD degree in areas such as business, social sciences, technology, engineering, or related disciplines.
In order to receive a Graduate Certificate, the student must have an average graduate cumulative grade point of 3.0 or better on a 4.0 scale in the certificate courses taken. Students admitted only to the certificate program will have non-degree graduate status but will earn graduate credit for the courses they complete.
If the four-course sequence approved by the graduate advisor is completed with a grade of B or better in each of the courses taken, the student will, upon application, be admitted to the Master of Business Administration or to the Master of Science in Information Science and Technology. The certificate courses taken by students admitted to the program will count towards the MBA program or the M.S. in Information Science and Technology degree program. Once admitted to the Certificate program, a student will be given three years to complete the program as long as a B or better average is maintained in the courses taken.
Graduate certificates were designed as a gateway to a master’s degree*. If a student earns a B or better in each certificate course they may continue for the graduate degree (in the corresponding department), without needing to submit GRE/GMAT scores, or letters of recommendation. Graduate certificates were designed for working professionals who have real life work experience and may not have time to take the GRE/GMAT. Admission requirements for the graduate certificate program are also more relaxed than the graduate degree. This graduate certificate may act as a gateway to the following master’s programs:
(Applicants must indicate which program they wish to use the certificate as a gateway for when initially applying for the certificate).
*Completion of a graduate certificate program does not automatically guarantee admission into a corresponding graduate degree program. To continue in a master’s degree program, you must apply. Click here for details and check with academic department for program specific details and requirements.
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