Most affordable Masters program in Computer and Information Sciences - Page 2

Computing and information technology are the fastest growing occupations in the world. The MS Computer Science is an intensive program which is intended for people who wish to broaden and deepen their understanding of computer science.

The School of System and Technology (SST) at UMT is offering a two-year MS Computer Science degree program. It provides a unique opportunity to develop leading-edge in-depth knowledge of specific computer science disciplines and prepares students in the concepts and techniques related to the design, programming and application of computing systems. The program requires students to take a broad spectrum of courses, while simultaneously allowing for emphasis in desired areas of specialization.

The MS Computer Science degree program equips the students to apply their knowledge and skills to succeed in computer science careers, function ethically and responsibly and to remain informed and involved as full participants in their professional domains and the society.

Graduates with a degree in computer science are qualified to pursue a career in a wide variety of computing careers, dealing with software development or system design and analysis. Software architects have been one of most heavily paid professionals in the recent years. Database administrators and Information systems security engineers are equally likely to grab excellent career prospects.

The candidate must have 4 years Bachelors or Equivalent Degree in a relevant discipline with a minimum 2.0 CGPA or 50% in annual system.

Ranked #1 MS Computer Science Program in the Country.

Format: Online, in person on the Statesboro Campus or the Armstrong Campus in Savannah.

For AY 21-22. Your costs may vary. See Tuition Fees for details.

than three times the national average. In 2020, the average median salary for computer scientists was $126,830 per year.

The M.S. in Computer Science is offered fully in-person or in hybrid coursework.

Our Data and Knowledge Systems specialization is the only program of its kind in Georgia, and one of only a few in the country.

Awards at numerous computing conferences, and are funded by the National Science Foundation and Industrial grants.

Higher salary upon graduation: MSCS graduates have gone on to earn 30% than BSCS graduates.

marketable skills: MSCS graduates have a wider range of research and technological skills, and are desirable to recruiters.

The option is available for both the thesis and non-thesis MSCS tracks.

Federal law requires colleges and universities to make certain disclosures to prospective students of these programs.

Master of Science in Computer Information Systems Business Analytics.

Master of Business Administration Healthcare Management Specialization.

Master of Business Administration Procurement Management Specialization.

Master of Science in Computer Information Systems Business Analytics (MS CISBA).

The program ranking for 2023 is #16 by U.S. News World Report and #1 by Intelligent.com for online database management graduate programs.

The program is designed to provide students with the analytical skills, business acumen, cyber-security awareness, computing strategies and other tools to transform business organizations into a competitive enterprise and derive optimal results. Classes combine lectures, cases, individual and team projects, and participant presentations. Many projects may be directly applicable to the student participant employer. The program is designed for students who want to improve their understanding of computer applications in the following areas:.

The MS CISBA degree program is a STEM program available completely online and or on campus. Due to visa regulations, International Students with non-immigrant F1 visa status can only count one online class toward the required 9 credit hours full time class load per semester.

The MS CISBA program is available to all applicants with a four year bachelor degree from a regionally accredited university.

Our MS CISBA program is designed for full time employed professionals allowing up to six years for completion to complement your work-life balance, however most students complete the program in a two year period. Students can choose their course load each semester within five semesters each year:.

CIDM 6303 Technical Foundations in Computer Information SystemsCIDM 6325 Electronic Commerce and Web DevelopmentCIDM 6 0 Software Engineering and Systems Development.

Upon MSCISBA coursework completion, degree candidates are required to complete and pass a capstone course, CIDM 6395, as part of the program curriculum.

The unofficial transcripts mark sheets must show university name, GPA, and conferred degree.

You can view course introductory videos for some of our graduate courses on our Graduate Course Schedule Page.

The College of Business at West Texas A M University seeks to prepare students in the Master of Science in Computer Information Systems and Business Analytics (MS CISBA) degree program for careers in business and to foster their professional growth and advancement via the key learning goals. The key learning goals for the MS CISBA are as follows.

A Master of Science in Computer Science will help prepare you for professional employment or advancement, research opportunities and doctoral studies. Our program offers the opportunity to engage with prominent global scientists and engineers to develop advanced expertise in this rapidly growing field.

You can increase your depth of knowledge by customizing your degree with specialized tracks that fit your goals, including computer networks, cybersecurity, artificial intelligence, software engineering and Big Data.

Examine the detailed concepts of computer networks and communication.

Explore the intelligence demonstrated by machines through computer algorithms, pattern recognition and other AI techniques.

Learn to apply principles of computer science and engineering to design, develop, evaluate and maintain effective computer software.

Discover the new computer paradigm of Big Data computing processes used to analyze, extract information from or otherwise deal with complex data sets.

The College of Science and Engineering is a gateway to in-demand STEM careers projected to make up a significant portion of the U.S. and global economy.

A master degree in computer science offers the opportunity to:.

Prepare for a wide variety of demands in the diverse computer science field.

Acquire the strong technical foundation required for computer science careers.

Computer science students are able to analyze a problem and then identify and define the computing requirements appropriate to its solution. With this degree, you can become a highly valued network engineer or software developer. As a graduate, you are well positioned to transition quickly into the market when internship and job opportunities present themselves.

This program will prepare you for doctoral or professional school and career advancement.

Foundation courses include Data Structures and Algorithms, Programming Fundamentals II, and Introduction to Computer Science and Programming.

Core computer science courses focused on data structures, algorithm analysis and design, operating systems, computer architecture, and automation theory.

This course provides you with an introduction to the study of information security and covers the most important features of computer security. Topics include basic concepts and principles in information security, authentication and access control, operating systems security, software vulnerabilities and threats, database security, and basic cryptography.

In this course, general theory, concept, and techniques related to allow you the design of intelligent databases will be discussed. Other topics to be covered include expert systems, neural networks, hypermedia, and text retrieval. A moderate-size semester project will be assigned to practice the design of an intelligent database.

This course will introduce you to related concepts and techniques to build intelligent systems that aim at acting rationally given perceived and represented knowledge. An of artificial intelligence techniques include knowledge representation, problem-solving, deduction, learning and planning.

Our flexible program is designed to fit your lifestyle. Choose the convenience of a fully online degree or face-to-face classes for an on-campus experience. We also provide blended options if you prefer the benefits of both.

Tuition and fees for graduate students taking nine credit hours are $3,669 for Texas residents and $7,341 for non-residents.

Master of Science in Computer Science :: Admissions Requirements.

After you application, the Graduate School will send a confirmation email within two business days to the personal email account you used for ApplyTexas.

After you application, you may be granted provisional status, which means you can enroll in one semester of courses. You will not be eligible for financial aid until you submit all of your documents and are accepted into the program.

We recommend that you request transcripts for all of your academic work.

All international transcripts must be evaluated and the evaluation submitted to the Graduate School.

An understanding of computer fundamentals binary and hexadecimal numbering systems assembly language programming the concepts of jumps, flags, subroutines, stacks, and a basic understanding of computer organization.

Submit a resume or curriculum vitae (CV) which includes your academic and professional history and achievements.

Apply for scholarships and graduate assistantships once you are admitted.

Once registration opens and you are eligible to enroll, your graduate enrollment specialist is here to help you complete registration.

Master of Science in Computer Science-(Aditya Editing) :: Admissions Requirements, International.

Summer admission consideration: March 15 (Applications are closed for Summer 2023).

Our Health Science Education Center, currently under construction, will contain 260,000 sq. feet of academic space.

The program includes courses to acquaint the student with current advances in the discipline, and their applications in business, health care and other areas. The ability to devise a solution and execute it is the heart of the practice of this program. Designing such solutions requires creating efficient computation, which involves the integration of few key design notions of data representation, algorithms, programming, and knowledge in systems, data security, and software engineering in one unified framework. A graduate of the program is able to integrate business, interpersonal and team skills, and the computational skills that lead to professional employment or pursue a doctoral degree in the field.

Graduates of the Computer Information Sciences graduate program are able to:.

Master at least one knowledge area or sub-area from the body of knowledge to at least the Bloom Synthesis level .

The semester hour value of each course appears in parentheses ( ).

Data Engineering and Mining(3 credits).

Description:This course addresses the emerging issues in designing, building, managing, and evaluating advanced data-intensive systems and applications. Data engineering is concerned with the role of data in the design, development, management, and utilization of complex computing information systems. Areas of interest include database design meta knowledge of the strategies and mechanisms for data access, security, and integrity control. Data mining is a rapidly growing field that is concerned with developing techniques to assist managers to make intelligent use of these data repositories. A number of successful applications have been reported in areas such as credit rating, fraud detection, database marketing, customer relationship management, and stock market investments. The field of data mining has evolved from the disciplines of statistics and artificial intelligence.

Government, academia and industry have spent a great deal of time, effort, and money dealing with increases in the volume, variety, and velocity of collected data. Collection methods, storage facilities, search capabilities, and analytical tools have all needed to adapt to the masses of data now available. This course introduces the student to the concepts of Big Data and describes the usage of distributed file systems and MapReduce programming framework to provide skills applicable to developers and the data scientist in any facet of industry.

Modern computer information systems are ever-increasing in complexity and sophistication. As a result, software engineers must be able to make effective deciions regarding the strategic selection, specification, design, and deployment of information systems. Therefore, this course addresses the topics of architectural design that can significantly improve the performance of computer information systems. The course introduces key architectural concepts, techniques, and guidance to software engineers to enable them to make effective architectural decisions.

Description:This course is a first-year graduate course in algorithms. Emphasis is placed on fundamental algorithms and advanced methods of algorithmic design, analysis, and implantation.

This course guides the student to develop and finalize a selected research problem and to construct a proposal that effectively establishes the basis for either writing a thesis or launching an experiential capstone project. The course provides an of strategies for effective problem investigation and solution proposal. Research methodology is studies and applied as part of suggesting a solution to a problem.

HU offers Five Cryptocurrency Courses for Graduate Students.

This program offers students a true graduate-school experience in the exciting discipline of Computer Science, with high expectations and intensive learning.

If any of the following foundation courses have not been taken in another program, these must be completed at the earliest.

Students must complete 15 credit hours of any 6000 or 7000 level CS course work. At least 12 credit hours must be from 7000-level or higher. Courses may not be repeated for credit.

Students must complete 24 credit hours of 6000 or 7000 level CS courses. At least 18 credit hours must be from 7000-level or higher, excluding CS 7998 and CS 7999.

A student may transfer a maximum of six semester hours of graduate courses. The transfer of credit for course work completed at another institution will be approved only under the following conditions:.

A minimum grade of B was received in the course .

The content of the course corresponds to that of a course required or permitted in the student program at Kennesaw State University .

The request must indicate the specific course(s) for which transfer credit is sought.

Start your online application for the Master of Science (M.S.) in Computer Science program.

Check out the other Master programs that CCSE has to offer.

The Master of Science in Computer Science (M.S.) can be completed under Plan I or Plan III.

Physical Location: Farris Engineering Center1901 RedondoMSC01 1130Suite 2200Albuquerque, NM 87131.

The Master of Science in Computer Science (MS-CS) program has two tracks: a thesis-based option and a non-thesis based option.

The non-thesis track is for students who want to pursue a career in industry. The program will train graduate students to apply mainstream and advanced computer science knowledge to formulating and solving problems that range from those solved by routine computer science applications to those that require advancing the state-of-the-art in the discipline.

The thesis-based track is for students who are considering continuing their studies at the Ph.D. level or who are interested in pursuing a career in applied research. An ideal student for this program track is a recent graduate in Computer Science or a related degree program, who has aptitude and interest in research. This track represents a preparatory period designed to give the necessary tools and background needed to carry out individualized and self-directed research. in the form of graduate assistantships and teaching assistantships may be available on a competitive basis. These assistantships include a tuition waiver and a stipend.

GRE scores will be optional for program applicants, as a result of the COVID-19 pandemic. The absence of GRE scores will not impact the applicant negatively.

Graduate Assistantship (GA) positions are offered to selected full-time graduate students to assist with general departmental programmatic needs. All graduate assistants must apply for a GA position. Available graduate assistantships will be available via Handshake and are coming soon!

This could be you! The Master of Science in Computer Science is our newest graduate program and we look forward to graduating our first cohort of this program.

A limited number of graduate assistantships are available. Students typically work either 20 hours per week (a full-time assistantship) or 10 hours per week (a halftime assistantship). Graduate assistantships currently pay $12,775 and $6,387.50 per academic year respectively. Assistantship interest should be indicated on the application form. Students who are accepted into the MS CSIS program and offered an award will have several weeks to either accept or decline the award. Students who are awarded assistantships are notified of their work assignments prior to the beginning of the fall and spring semesters.

East Carolina University’s Master of Science in Computer Science (MSCS) degree offered both On-Campus & Online will prepare students to excel in either the private sector or academia. Past graduates have pursued career opportunities as software engineers, designers, system architects, computer programmers, and web developers; others have pursued graduate study opportunities in computer science and related fields.

The program covers both the theory and practice of software design and hardware construction. It also emphasizes, as applicable, programming languages like C#, operating systems, hardware, database environments and software engineering tools like Rational Rose. We aim to equip graduates with the skills and theoretical background necessary to solve a wide range of IT challenges — both contemporary challenges and those to come.

Computer science is the systematic study of computing systems and computation. In practical terms, aspects of computer science can be felt all around us; from systems that facilitate near-instant communication to advanced robotics used in a range of manufacturing activities.