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

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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.

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$14,999 Total Tuition
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as few as 16 months Program Duration
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36 Credit Hours
Tuition Money Icon
$14,999 Total Tuition
Calendar Icon
as few as 16 months Program Duration
Stopwatch Icon
36 Credit Hours

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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

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

Looking for something different? Explore our full range of online Computer Information Systems master’s degree programs.

Need more information? Submit this form to speak to one of our representatives.

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.

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$416 Per Credit Hour
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$14,999** Total Tuition

**Total cost for 36 credit hours; additional courses will be billed at current per credit hour rate.

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Fees

A $25 application fee is required; applications will not be processed without it.

Applicants are admitted to the University only for the semester for which they apply. Students who do not enroll in the semester for which they have been admitted and want to be considered for a different semester must reapply and pay the application processing fee again.

Applicants will be considered for admission under the policies in effect at that time. Admission is not automatic. If a student has attended another collegiate institution prior to updating the application, the student must provide an official transcript of all work attempted.

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.

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

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Start Date Application Deadline Document Deadline Registration Deadline Tuition Deadline
10/18/2021 10/08/2021 10/11/2021 10/12/2021 10/12/2021
01/18/2022 01/05/2022 01/07/2022 01/10/2022 01/11/2022
03/21/2022 03/09/2022 03/11/2022 03/13/2022 03/15/2022

Ready to get started? Begin your application today!

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.

Diploma Icon Official transcripts from previous institutions
Calculator Icon 3.0 GPA or higher
Application Form Icon GMAT or GRE
Diploma Icon Official transcripts from previous institutions
Calculator Icon 3.0 GPA or higher
Application Form Icon GMAT or GRE

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

  • 3.0 GPA or higher
  • GMAT/GRE score
  • Program prerequisite leveling courses may be required:
    • Documentation of prior learning which satisfies program prerequisite knowledge in part or in full is required in order to determine equivalencies or waivers
    • Student may directly submit to CIS Graduate Program Advisor a portfolio of work for evaluation for exemption from one or more leveling courses
    • Portfolio work may include non-credit or non-academic course work, certifications, help and other experiential knowledge in the subject area
    • Exemptions are at the sole discretion of the CIS Graduate Program Director and may involve interviews, tests, or contact of references
    • No waivers will be granted for any part of the CIS program beyond the prerequisite leveling courses

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

Courses

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

For the M.S., Computer Information Systems in Artificial Intelligence 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).

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Courses can be waived based on transcript evaluation.

COSC 3317: Object Oriented Programming & Design

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

COSC 3315: Application Design Using GUI and Database

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.

COSC 3325: Information Systems in Organizations

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.

MATH 3347: Operations Research

Duration: 8 weeks   |   Credit Hours: 3

Linear programming, critical path analysis, inventory models, Monte Carlo simulation, queuing models and dynamic programming.

MATH 3391: Probability and Statistics

Duration: 8 weeks   |   Credit Hours: 3

Applied statistics with probability.

MGMT 3303: Principles of Management

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.

MGMT 6354: Organizational Leadership and Ethics

Duration: 8 weeks   |   Credit Hours: 3

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.

ACCT 6351: Financial Reporting & Analysis

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.

COSC 6336: Database Design

Duration: 8 weeks   |   Credit Hours: 3

Design principles of large database-based applications and distributed database.

COSC 6342: Software Engineering/Project Management

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.

COSC 6350: Systems Analysis and Design

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.

COSC 6339: Network Design and Management

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.

C0SC 6325: Policy, Strategy, and Ethical Issues in IS

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.

COSC 6315: Data Science using Machine Learning

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.

COSC 6349: Computer Vision and Image Processing

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.

COSC 6348: Natural Language Processing

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.

COSC 6328: Deep Learning

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.

COSC 6300: Special Topics in CS/IS

Duration: 8 weeks   |   Credit Hours: 3

Special topics in CIS/IS

COSC 6310: Multimedia Development and Programming

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.

COSC 6329: Data Warehousing and Data Mining

Duration: 8 weeks   |   Credit Hours: 3

Data warehousing; OLAP; data mining; data marts; advanced topics in integration of different technologies.

COSC 6337: Web Mining and Info Retrieval

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.

COSC 6340: Software & System Architecture

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”.

COSC 6341: Internet Programming

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.

COSC 6343: Intelligent Agents and Apps

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.

COSC 6351: Decision Support Systems

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

COSC 6353: Info Systems Security

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.

COSC 6359: Cloud Computing

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”

COSC 6357: Web Engineering

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.

COSC 6344: Advanced IT Project Management

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.

COSC 6390: Integrating the Enterprise, IS Function/Technologies

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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