Bachelor 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

Find out more about our B.S. in Computer Information Systems in Data Science

Give yourself an edge in your career with an online Bachelor of Science in Computer Information Systems in Data Science. In this online CIS program, you will learn to provide data-driven insights that impact businesses in a positive way. In addition to theoretical knowledge, you will acquire hands-on experience in hardening systems, data warehousing, information systems, auditing and other in-demand industry skills.

Data experts are highly valued and in demand, in fact, the Bureau of Labor Statistics projects higher than average growth for operations research analysts, actuaries, and computer and information research scientists.

As a graduate, this program gives you opportunities in a wide range of industries. In addition, this B.S., CIS Data Science program offers internship opportunities. UHV has multiple networking/chapter opportunities for students.

In this Bachelor of Science in Computer Information Systems with a concentration in Data Science online program, you will gain valuable knowledge in:

  • Communication skills
  • SQL
  • Data architecture
  • Teamwork/Collaboration
  • Data warehousing
In this Bachelor of Science in Computer Information Systems with a concentration in Data Science online program, you will gain valuable knowledge in:[ + ]
  • Communication skills
  • SQL
  • Data architecture
  • Teamwork/Collaboration
  • Data warehousing

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

  • Database Architect
  • Data Warehousing Specialist
  • Network Architect
  • Data Scientist
This B.S., Computer Information Systems in Data Science online program prepares you for roles such as:[ + ]
  • Database Architect
  • Data Warehousing Specialist
  • Network Architect
  • 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.

Per Credit Hour: $299
Program Transfer Credits: Up to 90 hours
Credit Hours: 120

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 more about the affordable tuition at UHV

This data science online program offers affordable, pay-by-the-course tuition with all fees included.

View additional tuition information[ + ]

Program Per Credit Hour Per 3-Credit-Hour Course
B.S., Computer Information Systems in Data Science $299 $897

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: $299
Per 3-Credit-Hour Course: $897

Calendar

Know these important application deadlines and class schedules

Our B.S., CIS data science program is delivered in a flexible online format ideal for working professionals and features multiple start dates throughout the year for faster completion.

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

Requirements for the B.S., Computer Information Systems in Data Science

We've streamlined the admission process, so it's easier for you to get started on your degree. Find the requirements for the B.S., Computer Information Systems in Data Science online, what additional materials you need and where you should send them. The requirements include:

Admission Requirements:

  • Application
  • SAT/ACT scores or transcripts
  • GPA of 2.0 or higher
View all admission requirements[ + ]

Students interested in the BS, CIS Data Science online program must meet the requirements below.

  • 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.

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.

Courses

Coursework for the B.S., Computer Information Systems in Data Science

Students must complete a total of 120 semester credit hours to earn the B.S. in Computer Information Systems online. Courses include University Core Curriculum (43 credit hours), B.S. Program Requirements (8 credit hours), General Requirements – Lower Division (14 credit hours), General Requirements – Upper Division (15 credit hours), CIS Major Requirements (36 credit hours) and Electives.

Expand All
This course is waived for transfer students with 30 credit hours or who have taken a similar course from another accredited institution.
Duration: 8 weeks
Credit Hours: 3
This course will provide an academic context for: (1) the understanding of the interdisciplinary nature of a college education; (2) study and life skills necessary for academic success; and, (3) opportunities for connection with peers, faculty and the institution. This course is required for freshmen students in all majors and any student entering the university with less than 30 SCH.

General education courses are required based on admission standing and transfer credits.

English – 6 credit hours
Political Science – 6 credit hours
History – 6 credit hours
Math – 3 credit hours
Life & Physical Sciences – 6 credit hours 
Humanities – 3 credit hours
Creative Arts – 3 credit hours
Social/Behavioral Science – 3 credit hours
Additional Courses – 6 credit hours

Duration: 8 weeks
Credit Hours: 3
Composition course providing instruction in the writing and analysis of expository prose; emphasis on rhetorical principles and basic organizational modes.
Duration: 8 weeks
Credit Hours: 3
Continued Development of writing skills acquired in English 1301 and development of critical thinking skills in argumentation, analysis and interpretation of various types of literature.
Duration: 8 weeks
Credit Hours: 3
Introduction to United States national government and politics; including constitutional basis, processes, institutions and policies of U.S. Government and politics.
Duration: 8 weeks
Credit Hours: 3
Introduction to Texas state and local government including constitutional basis, processes, institutions and policies of Texas government and politics.
Duration: 8 weeks
Credit Hours: 3
Survey course of US history from 1492 to 1865 including social, political, intellectual, economic and military history will be explored.
Duration: 8 weeks
Credit Hours: 3
Survey course of US history from 1865 to present, including social political, intellectual, economic and military history will be explored.
Duration: 8 weeks
Credit Hours: 3
Course will cover quadratics, polynomial, rational, logarithmic and exponential functions, system of equations, progression, sequences and series, matrices and determinants.
Duration: 8 weeks
Credit Hours: 3
Introduction to cell physiology, molecular biology and genetics. Three hours lecture each week. This class is designed for non-science majors. Concurrent enrollment in BIOL 1106  recommended.
Duration: 8 weeks
Credit Hours: 1
Laboratory designed to give hands-on experience and to reinforce basic principles of cell physiology, molecular biology and genetics. Three lab hours each week.
Duration: 8 weeks
Credit Hours: 3
Introduction to nutrition for students of science and non-science majors. Topics include fundamentals of nutrition, metabolism, digestion, absorption, nutrient storage and drug/nutrient interactions.
Duration: 8 weeks
Credit Hours: 3
This stand alone course is an interdisciplinary survey of cultures focusing on the philosophical and aesthetic factors in human values with an emphasis on the historical development of the individual and society and the drive to create.  This course will offer selected, interrelated topics in philosophy, literature, religion, and the arts and sciences from ancient times to about the year 1700.
Duration: 8 weeks
Credit Hours: 3
Survey course focusing on historical, technical, and governmental aspects of the broadcast industry. Topics such as programming, sales, rating, and public broadcasting will be introduced.
Duration: 8 weeks
Credit Hours: 3
Survey of Introductory topics such as learning, memory, sensation and perception, personality, life-span development, psychological basis of behavior, stress and health, psychological disorders, social psychology and research methods.
Duration: 8 weeks
Credit Hours: 3
Introduction to technology, algorithmic problem solving and their applications for students in sciences, humanities, social sciences and business.
Duration: 8 weeks
Credit Hours: 3
Introduction of the basic principles and techniques in research, composition, organization and delivery of speeches for various purposes appropriate for purpose, occasion and audience.
Students earning their Bachelor of Science must take the following courses.
Duration: 8 weeks
Credit Hours: 3
Study of Professional writing, including correspondence, proposals, research reports, resumes and job letters.
Duration: 8 weeks
Credit Hours: 3
Emphasis on organismal diversity, ecology, behavior and evolution. Three hours lecture each week. This class is designed for non-science majors. Concurrent enrollment in BIOL 1107  recommended.
Duration: 8 weeks
Credit Hours: 1
Laboratory designed to give hands-on experience and to reinforce basic principles of diversity, ecology, and evolution. Three lab hours each week.
The following courses are required.
Duration: 8 weeks
Credit Hours: 3
Fundamental concepts of programming using C++. This is part 1 of 2 of two courses. Students will learn several topics including but not limited to, an introduction to computers and programming in C++, expressions, making decisions, loops and files, functions, arrays and vectors, basic searching and sort array algorithms and basic recursion.  Course to be taken with COSC 1136 at the same time
Duration: 8 weeks
Fundamental concepts of programming using C++. This is part 1 of 2 of two courses. Lab for COSC 1336
Duration: 8 weeks
Credit Hours: 3
Fundamental concepts of programming using C++. This is part 2 of 2 of two courses. Students will learn several topics including but not limited to, pointers, classes, enums, structures, operator overloading, and exceptions. Course to be taken with COSC 1137 lab at the same time.
Duration: 8 weeks
Fundamental concepts of programming using C++. This is part 2 of 2 of two courses. COSC 1137 is the lab for COSC 1337.
Duration: 8 weeks
Credit Hours: 3
Course will provide essentials of finite mathematics, including topics such as set theory, matric algebra, solving systems of equations using matric methods; counting method; probability theory; game theory.
Duration: 8 weeks
Credit Hours: 3
Course will provide essentials of business calculus, including study of functions and graphs from a calculus viewpoint as applied to problems in business.
The following courses are required.
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
A study of basic data structures and algorithm concepts and their application to computing problems including stack and queue, linked list, sorting, recursion and analysis of algorithms. Implementation of theoretical concepts for data structures and software design using preferred programming language.
Duration: 8 weeks
Credit Hours: 3
A study of advanced data structures and algorithms and their application to computing problems including trees, red-black trees, hash table, heap, graph theory, searching algorithms, greedy algorithm, dynamic programming, divide-and-conquer, NP-completeness.  Implementation of theoretical concepts for data structures and software design using preferred programming language.
Duration: 8 weeks
Credit Hours: 3
Topics include communications concepts and functions; communications in organizations; communication media, equipment, and software; networking concepts and functions; network media and equipment; networking architecture; communications and networking designs; performance monitoring and pricing; and applications in industry and business.
Duration: 8 weeks
Credit Hours: 3
Mappings, relations, recurrence, logic, Boolean algebras, graphs, induction, proofs, languages, state machines, history of artificial intelligence, Turing test, and applications of these areas.
The following courses are required.
Duration: 8 weeks
Credit Hours: 3
An introduction to programming using Python.  This is an introductory course to programming based on the Python programming language.  Students will earn the foundations of computer programming, basic computer algorithms, and data structures and how to use them for effective problem solving.
Duration: 8 weeks
Credit Hours: 3
This course is to introduce students to data visualization including both the principles and techniques. Students will learn the value of visualization, specific techniques in information visualization and scientific visualization, and how understand how to best leverage visualization methods.
Duration: 8 weeks
Credit Hours: 3
This course is about how to retrieve, and store structured and unstructured data, and perform their analytics.
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
Topics include:  introduction to software engineering, development processes, requirements development, object oriented analysis and design using UML, architectural design, testing, and project management.
Duration: 8 weeks
Credit Hours: 3
An introduction to the concepts of database design, data description and manipulation languages, data models, entity-relationship model, normalization theory, data flow diagrams, and implementation of database systems.
Duration: 8 weeks
Credit Hours: 3
Social context of computing, professional and ethical responsibilities, intellectual property, privacy, threats and vulnerabilities of information systems, protective measures, encryption algorithms, risk analysis, acceptable use policy.
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
Marketing orientation and concepts applied to marketing strategies and to planning, pricing, product development and management, promotion, and channels of distribution. Emphasis is on ethics in marketing practice and on global marketing.
Duration: 8 weeks
Credit Hours: 3
Applied statistics with probability
Students can choose courses from the list below as long as they are not required for their concentration.
Duration: 8 weeks
Credit Hours: 3
This course provides an introduction to the set of techniques and mechanisms used to protect the integrity of networks, software, and data against malicious attacks and unauthorized access.
Duration: 8 weeks
Credit Hours: 3
In this course students will learn how to gather and analyze digital evidence and use critical thinking skills to solve computer-based crimes.
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*Application and all documents must be submitted by this date.

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