Master of Science in Computer Information Systems with a concentration in Data Science Online

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

Program Overview

Advance as a technology professional with UHV’s online M.S., Computer Information Systems in Data Science

Develop the advanced business and technical insight to set yourself apart with a Master of Science in Computer Information Systems with a concentration in Data Science. Deepen your understanding of analyzing, mining and understanding complex data to make strategic decisions. Utilize scientific methods, processes, algorithms and systems to extract knowledge and insights from data and build the managerial expertise to begin leading data-driven solutions in your organization.

With multiple start dates to fit your busy schedule, you can complete your degree online in as few as 16 months.

Program courses provide students training in key tools and skills that are used throughout the industry, including:

  • Predictive analytics through a collection of statistical approaches derived from data mining, predictive modeling, and machine learning that evaluate current and past data to forecast the future
  • Python programming, a high-level general-purpose programming language that emphasizes code readability

In this M.S. in Computer Information Systems with a concentration in Data Science online program, you will gain:

  • An understanding of the software development process, and how to plan and manage process improvements
  • The ability to identify valid and reliable ways to collect, analyze and visualize data
  • Knowledge of Python programming to build reusable functions with parameters and return values, decisions and repetitions using conditional statements and loops
  • The skills to utilize current technologies to design and implement internet and World Wide Web based applications
In this M.S. in Computer Information Systems with a concentration in Data Science online program, you will gain:[ + ]
  • An understanding of the software development process, and how to plan and manage process improvements
  • The ability to identify valid and reliable ways to collect, analyze and visualize data
  • Knowledge of Python programming to build reusable functions with parameters and return values, decisions and repetitions using conditional statements and loops
  • The skills to utilize current technologies to design and implement internet and World Wide Web based applications

This M.S. in Computer Information Systems in Data Science online program prepares you for roles such as:

  • Back-End Developer
  • Database Architect
  • Data Engineer
  • Data Scientist
This M.S. in Computer Information Systems in Data Science online program prepares you for roles such as:[ + ]
  • Back-End Developer
  • Database Architect
  • Data Engineer
  • Data Scientist

[ + ]

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

See how cost-effective UHV can be

The M.S. in Computer Information Systems with a concentration in Data Science online program offers the same affordable, pay-by-the-course tuition to all U.S. residents. All fees are included in the total tuition.

View additional tuition information[ + ]

Program Per Credit Hour Per Course Per Program*
M.S., Computer Information Systems in Data Science $417 $1,251 $15,012

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.

Tuition breakdown:

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

Calendar

Plan your schedule with these need-to-know dates

UHV online programs are delivered in an accelerated format ideal for working professionals, conveniently featuring multiple start dates each year.

View full calendar  + 

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

Here’s what you need to get started on our online M.S., Computer Information Systems in Data Science program

The admission process is the first step toward earning your online degree. Find out the requirements for the M.S., Computer Information Systems in Data Science online, what additional materials you need and where you should send them. The requirements include:

Admission Requirements:

  • Official transcripts from previous institutions
  • GMAT or GRE
View all admission requirements[ + ]

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.

  • GMAT/GRE score (Automatic GRE/GMAT Waiver if student has 3.0+ GPA in their last 60 credits of their undergraduate degree or possess a Master's Degree from a Regionally Accredited University)
  • Program prerequisite leveling courses may be required:
    • Undergraduate degree in technology, engineering, computer science, or related major preferred; otherwise, some leveling courses may be required based on professional work experience and background
  • Essay – 1-2 pages outlining goals and objectives
  • Resume – Detailed resume identifying experience in computer science and/or information systems

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

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

Here’s what you’ll study in our online CIS in data science online program

For the M.S. in Computer Information Systems with a concentration in Data Science 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).

Expand All
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
Python programing using Jupiter notebooks, gathering input and manipulating input/output, building reusable functions with parameters and return values, decisions and repetition using conditional statements and loops.
Duration: 8 weeks
Credit Hours: 3
Identify the ideal analytic tool for specific data analysis needs; understand valid and reliable ways to collect, analyze, and visualize data; and utilize data in decision making for organizations.
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
Scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns.
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.
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.
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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