Master of Science in Computer Information Systems with a concentration in Artificial Intelligence Online

Apply By: 5/24/23
Start Classes: 6/6/23 Apply Now

Program Overview

Enter the dynamic, burgeoning field of AI with the M.S., CIS artificial intelligence

Prepare to transition to the exciting, growing field of AI with a Master of Science in Computer Information Systems with a concentration in Artificial Intelligence. Build neural networks through the use of TensorFlow, become fluent in Statistical Machine Translation in addition to Deep Semantic Similarity Models (DSSM) and their applications. Develop an understanding of software development to plan, manage and improve processes while designing intelligent agents and identifying strategies to solve real-world problems.

Our 100 percent online format affords you the flexibility to earn your degree on your schedule.

Program courses provide students with:

  • Knowledge in the theories, algorithms and development of computer systems capable of doing tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation
  • Techniques for image processing including image formation, image filtering, edge detection and segmentation, morphological processing, registration, object recognition, object detection and tracking and 3D vision

In this online Master of Science in Computer Information Systems with a concentration in Artificial Intelligence program, you will gain:

  • Fluency in Statistical Machine Translation as well as Deep Semantic Similarity Models (DSSM) and their applications
  • The ability to build neural networks through the use of TensorFlow and other frameworks
  • The knowledge to design intelligent agents and identify strategies to solve real-world problems, such as automated decision making and recognition tasks
  • An understanding of the software development process, and how to plan and manage process improvements
  • Fluency in Statistical Machine Translation as well as Deep Semantic Similarity Models (DSSM) and their applications
  • The ability to build neural networks through the use of TensorFlow and other frameworks
  • The knowledge to design intelligent agents and identify strategies to solve real-world problems, such as automated decision making and recognition tasks
  • An understanding of the software development process, and how to plan and manage process improvements

This online Master of Science in Computer Information Systems with a concentration in Artificial Intelligence program prepares you for roles such as:

  • Artificial Intelligence Engineer
  • Data Scientist – Machine Learning
  • Senior Engineer – Machine Learning
  • Software Engineer
  • Artificial Intelligence Engineer
  • Data Scientist – Machine Learning
  • Senior Engineer – Machine Learning
  • Software Engineer

Also available:

UHV offers a variety of graduate and undergraduate degree programs in a convenient online format. Explore our full range of online technology programs.

Total Tuition: $15,012*
Program Duration: As few as 16 months
Credit Hours: 36

Accreditation

Commission on colleges accredited institution seal

The University of Houston-Victoria is accredited by the Southern Association of Colleges and Schools Commission on Colleges (SACSCOC) to award baccalaureate, masters, and specialist degrees. Degree-granting institutions also may offer credentials such as certificates and diplomas at approved degree levels. Questions about the accreditation of the University of Houston-Victoria may be directed in writing to the Southern Association of Colleges and Schools Commission on Colleges at 1866 Southern Lane, Decatur, GA 30033-4097, by calling (404) 679-4500, or by using information available on SACSCOC’s website.

Also available:

UHV offers a variety of graduate and undergraduate degree programs in a convenient online format. Explore our full range of online technology programs.

Apply Now

Need More Information?

Call 888-728-6625

Call 888-728-6625

Tuition

Learn all the details about tuition for your M.S., Computer Information Systems in Artificial Intelligence

The Master of Science in Computer Information Systems with a concentration in Artificial Intelligence can advance your CIS career with affordable, 100 percent online courses and instruction.

Tuition breakdown:

Per Credit Hour: $417
Total Tuition: $15,012*

Calendar

Check out our application deadlines and class schedules for your online degree

Our M.S., Computer Information Systems in Artificial Intelligence online program features multiple start dates per year for convenience and flexibility.

Start DateApplication DeadlineDocument DeadlineRegistration DeadlineTuition Deadline
3/20/233/8/233/10/233/13/233/14/23
6/6/235/24/235/26/235/29/235/30/23

Now enrolling:

Next Application Deadline: 5/24/23**
Next Class Start Date: 6/6/23

Ready to take the rewarding path toward earning your degree online?

Apply Now

Admissions

What you need to know before applying for your M.S., Computer Information Systems in Artificial Intelligence

The admission process is the first step toward earning your online degree. Students who are interested in the artificial intelligence online program should review and follow the requirements for admission below.

Admission Requirements:

  • Official transcripts from previous institutions
  • GMAT or GRE

We've streamlined the process to help you get started quickly and easily. Students interested in the M.S. in Computer Information Systems online program must meet the following requirements for admission.

  • Submit undergraduate application and $25 application fee
  • Cumulative 2.0 GPA or higher
  • Freshmen: SAT score of 940 or higher or ACT score of 18 or higher
  • TSI (Texas Success Initiative Assessment) Test Scores are required; unless you qualify for a waiver; please click here for additional information. Waiver Decision will be rendered after receipt of all required documents.
  • Transfer students (12 or more credit hours from other institutions): official transcripts from all colleges/universities attended. Students may transfer up to 90 credit hours.

Official transcripts, test scores and other materials that come from third-party sources may be emailed or mailed from the granting institution(s).

Email address:

Mail address:
University of Houston-Victoria
3007 N. Ben Wilson Street
Victoria, TX 77901
ATTN: Fasttrak Admissions/University College


**First Time College Students will be further reviewed by the Admissions Office

Have a question? Call us at 888-728-6625.

For those applying with international transcripts, a full evaluation by an approved agency is required, which can take up to eight weeks. For more information on international transcript evaluation, click here. For deadline dates, if you are applying with international transcripts, click here.

English Proficiency Requirement

All students attending the University of Houston-Victoria must be proficient in the use of English. Regardless of immigration status, students whose educational instruction has not been in the English language and/or whose native language is not English must demonstrate English proficiency. For additional information click here.

International Transcript Evaluation

For those applying with international transcripts, a full evaluation by an approved agency is required, which can take up to eight weeks. For more information on international transcript evaluation click here. For deadline dates if you are applying with international transcripts click here. Conditional admissions may be offered to complete the first 9 credits until the official credential evaluation report is submitted to UHV.

Courses

Continue your mastery in M.S., Computer Information Systems – Artificial Intelligence

For the M.S., Computer Information Systems in Artificial Intelligence program online, the curriculum includes 36 semester credit hours including 5 core courses (15 credit hours), 6 electives (18 credit hours), and one integration course (3 credit hours).

Courses can be waived based on transcript evaluation.
Duration: 8 weeks
Credit Hours: 3
A study of concepts of Object Oriented Programming (OOP) technology including but not limited to abstract data types, encapsulation, inheritance, and polymorphism
Duration: 8 weeks
Credit Hours: 3
Introduction to event driven programming using graphical user interfaces.  Topics include but not limited to the following:  The use of GUIs in processing data, making decisions, file dialogs and loops, methods, arrays and lists, multi windows GUIs, using GUIs with databases.
Duration: 8 weeks
Credit Hours: 3
An introduction to the functions of information systems in organization and their relationships to organizational objectives and structure. Studies of decision theory, quantitative procedures, system design and types of applications that are part of an information system.
Duration: 8 weeks
Credit Hours: 3
Linear programming, critical path analysis, inventory models, Monte Carlo simulation, queuing models and dynamic programming.
Duration: 8 weeks
Credit Hours: 3
Applied statistics with probability
Duration: 8 weeks
Credit Hours: 3
General systems theory; evolution of management theory; interpersonal behavior in business organizations to include motivation, leadership, value attitudes, and organizational development.
Duration: 8 weeks
Credit Hours: 3
Prerequisite(s): Graduate standing. This course examines the key role of the leader as a change agent in organizations. Students will be able to understand various models and theories of organizational change and the role of the leader in the diagnosis and implementation of change. Formerly: Leadership and Organizational Change Course Fee Graduate Business Fee - $45 per semester credit hour
Duration: 8 weeks
Credit Hours: 3
This course focuses on how to use financial statement information to make business decisions.  The emphasis is on financial statement analysis and interpretation of financial disclosures to help improve risk assessment, forecasting, and decision making.
Students must take the following courses.
Duration: 8 weeks
Credit Hours: 3
Design principles of large database-based applications and distributed database.
Duration: 8 weeks
Credit Hours: 3
A study of the software development process, how to plan and manage it, process improvement. We will also consider social and environmental factors.
Duration: 8 weeks
Credit Hours: 3
Systems Development Life cycle and the technologies used to model, design, document, and implement high quality information systems. Systems analysis and design is the essence of the IS professional’s work. This course will allow students to synthesize their experiences in software development and project management, into a comprehensive project. CASE tools that emphasize object-oriented analysis and design principles will be used. Requirements determination, specification development, testing, documentation, and reporting will be emphasized.
Duration: 8 weeks
Credit Hours: 3
Concepts and mechanisms of data transport systems including information in the form of data, voice, and image, Network architecture, terminology, control, and general topologies. Current equipment and physical interconnection are explored in an applied model incorporating a range of network services to support application development, distributed processing, information centers, and distance learning. Emphasis is placed on the impact of data communications technology on organizations and on the design of future information systems.
Duration: 8 weeks
Credit Hours: 3
Information systems policies and procedures to support the organization’s mission; contemporary information systems strategic planning and policy. A survey of contemporary legal and ethical issues faced by information systems professionals. Case studies will be used to illustrate current best practices.
Students must take six of the following courses.
Duration: 8 weeks
Credit Hours: 3
Introduces how machine learning uses computer algorithms to search for patterns in data and how to use data patterns to make decisions and predictions with real-world exam.
Duration: 8 weeks
Credit Hours: 3
This course introduces fundamental concepts and techniques for image processing and computer vision. Topics to be covered include image formation, image filtering, edge detection and segmentation, morphological processing, registration, object recognition, object detection and tracking, 3D vision, etc.
Duration: 8 weeks
Credit Hours: 3
This course provides an overview of Natural Language Processing and how to use classic machine learning methods. Students will also learn about Statistical Machine Translation as well as Deep Semantic Similarity Models (DSSM) and their applications.
Duration: 8 weeks
Credit Hours: 3
This course introduces students with foundational knowledge of deep learning algorithms and practical experience in building neural networks by using TensorFlow or other frameworks.
Duration: 8 weeks
Credit Hours: 3
Special topics TBD
Duration: 8 weeks
Credit Hours: 3
A study of media theory and programming skills, such as a creating immersive media driven applications for DVD, CD-ROM and Web; broadcasting TV-quality video on the office LAN and broadband Internet.
Duration: 8 weeks
Credit Hours: 3
Data warehousing; OLAP; data mining; data marts; advanced topics in integration of different technologies.
Duration: 8 weeks
Credit Hours: 3
To provide a comprehensive coverage of various topics in Web data mining including Web usage mining, Web content mining, and Web structure mining. To learn the different techniques from machine learning, databases, and information retrieval to extract useful knowledge from Web data which could be used for business intelligence, site management, personalization, and user profiling.
Duration: 8 weeks
Credit Hours: 3
Design concepts used in computer architectures to improve the performance of computations. Topics include operating systems, memory, instruction sets, assembly and machine languages, superscalar and parallel structures. Formerly “Software and System Architecture”.
Duration: 8 weeks
Credit Hours: 3
A study of programming skills for Internet applications, through learning web development concepts with Active Server Pages and the .NET framework. Applications in the areas of web navigation, server-side and client-side computation, dynamic data processing, and distributed applications.
Duration: 8 weeks
Credit Hours: 3
Critically examine what intelligent agents are, how to design them, and how new techniques arising from this field can be applied to problems requiring intelligent solutions in both business and engineering applications. Reference will be made to the different types of problems which intelligent agents techniques can help solve, such as automating decision making, recognition tasks. It will equip students with sufficient understanding of current theory and applications so that they will be able to apply that knowledge to address future software and business needs.
Duration: 8 weeks
Credit Hours: 3
Support systems for decision-making in complex, technologically rich environments. Decision theory principles, problem identification, model formulation, and solution procedures. Sample quantitative and qualitative tools to study the behavioral aspects of decision making in a decision support environment. At least one expert system will be examined or developed. Neural networks are discussed.
Duration: 8 weeks
Credit Hours: 3
Develop knowledge and skills for security of information and information systems within organizations. Concepts and methods associated with planning, designing, implementing, managing, and auditing security at all levels and on all systems platforms, including worldwide networks. Techniques for assessing risk associated with accidental and intentional breaches of security. The associated issues of ethical uses of information and privacy considerations. Security in computer operating systems, networks, and data.
Duration: 8 weeks
Credit Hours: 3
Study of the conceptual and experimental issues in the design and implementation of cloud computing and its services. Formerly “Advanced Computer Communication”
Duration: 8 weeks
Credit Hours: 3
Design and implementation of Internet and World Wide Web based application using the current technology. Other topics include data compression, multimedia data technologies, and wireless computing.
Duration: 8 weeks
Credit Hours: 3
Students will acquire and apply the knowledge and skills necessary to manage or lead successful IT and Information Systems project teams. Some advanced topics will be discussed. Term project required.
Students must take the following course.
Duration: 8 weeks
Credit Hours: 3
Builds on previous courses, integrative in nature. Taught in seminar style. Current and strategic issues in information management from the executive perspective; analyze, synthesize, and respond at the highest organization level. Overall information needs of an organization and the role information systems play in meeting those needs. A major research paper based on a thorough literature search of primary sources in information systems; presentation of research.
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*Total cost for 36 credit hours; additional courses will be billed at current per credit hour rate

**Application and all documents must be submitted by this date.

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