Masters Degrees in Computer Science, USA

Why choose Computer Science and Engineering?

It's relevant. Computers are a part of everything we do. The computer field drives innovation in many other fields, including medicine, education, business, communication, and entertainment.

It's creative and challenging. The variety of applications of computer science and engineering makes for highly-creative and challenging projects. Working in the computer field might mean building web-based applications, providing security for sensitive information, developing systems to process scientific data, writing software for new mobile devices, and much more.

It's lucrative. Jobs in the field are among the highest paid, in part because qualified computer scientists and engineers are in demand. The Bureau of Labor Statistics says computing is among the top fields for new job growth through 2018. Read the report...

The future is full of possibilities. There is no question computers are infiltrating every aspect of our society. With changing technology, we cannot know what exciting turns your career might take. What we can say is you will be in a position to contribute in whatever way you choose.

Why Computer Science and Engineering at UTC?

Our faculty is involved. UTC Computer Science students benefit from smaller classes and a low student/teacher ratio which means more interaction with your teachers. We have been where you are and understand that you need to be challenged and encouraged. All classes are taught by faculty with professional degrees. Most faculty hold the Ph.D. in Computer Science, Computer Engineering or a closely related discipline.

We prepare you for the real world. Our students have opportunities for internships, co-op experience and special projects within the College. This is part of why you'll find our graduates working for Fortune 500 companies, local, state and federal government agencies. They have also gone on to graduate programs in computer science, engineering, and medicine.

Don't take our word for it. Hear what Hope Wineman had to say about her choice of Computer Science and Engineering.

Course Requirements

Computer Science: Computer Science

The CPSC M.S. program requires that a student completes a minimum of 33 semester hours in graduate work including the thesis, or 36 semester hours in graduate work including a graduate project. Students admitted to the program who lack academic experience in certain areas will be assigned up to 18 hours of additional course work in the foundation courses listed below in order to gain needed competencies. All students admitted to the M.S. program must complete 15 semester hours of required course in the core courses listed below. The program also includes 6 hours of thesis, 9 hours of computer science elective courses and additional 3 hours of coursework related to the student’s objectives may be selected from an area within or outside of computer science, in consultation with the major adviser and the Graduate Coordinator. Students may elect to undertake a project in lieu of a thesis. In this case, 6 additional hours of elective coursework, for a minimum total of 36 hours of graduate credit, are required. The courses used for these additional six hours are subject to the approval of the major adviser and the Graduate Coordinator of Computer Science. With either the thesis or project option, a minimum of 21 hours of credit must be from UTC computer science courses at the 5000 level. Students must maintain a minimum 3.0 grade point average and are subject to all general regulations of The Graduate School, such as those regulating admission to candidacy, transfer of credits, time limitations, thesis, and degree conferral. 

Computer Science: Data Science

Information on the Data Science concentration can be found here.

Computer Science: Information Security and Assurance

The CPSC-ISA M.S. program requires that a student completes a minimum of 33 semester hours in graduate work including the thesis, or 36 semester hours in graduate work including a graduate project. Students admitted to the program who lack academic experience in certain areas will be assigned up to 18 hours of additional course work in the foundation courses listed below in order to gain needed competencies. All students admitted to the M.S. program must complete 15 semester hours of required course in the computer science core courses and 6 semester hours of required course in ISA core courses listed below. The program also includes 6 hours of thesis, 3 hours of ISA elective courses and additional 3 hours of coursework related to the student’s objectives may be selected from an area within or outside of computer science, in consultation with the major adviser and the Graduate Coordinator. Students may elect to undertake a project in lieu of a thesis. In this case, 3 additional hours of ISA elective coursework and 3 additional hours of elective course, for a minimum total of 36 hours of graduate credit, are required. The courses used for these additional 3 elective hours are subject to the approval of the major adviser and the Graduate Coordinator. With either the thesis or project option, a minimum of 21 hours of credit must be from UTC computer science courses at the 5000 level. Students must maintain a minimum 3.0 grade point average and are subject to all general regulations of The Graduate School, such as those regulating admission to candidacy, transfer of credits, time limitations, thesis, and degree conferral.

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The Department of Computer Science at Binghamton University aims to provide all graduates with a strong foundation in computer science while also offering the opportunity to pursue specific interests within computer science and/or interests in other disciplines. The program provides students with an understanding of the theory and practice of automating the representation, storage and processing of information, while emphasizing experimental research to design and engineer a wide variety of computer and information systems.

The Master of Science in Computer Science (MSCS) is intended for students with a strong background in computer science and a desire to prepare for research studies or professional practice. If you have bachelor's degree in computer science or a related field, you're invited to apply for admission to our MSCS program.

The doctoral program leads to a PhD in Computer Science. Students admitted into the program typically have a master's degree in computer science or a closely related discipline. Students with a bachelor's degree and a strong academic record may also be directly admitted.

Recent doctoral graduates have gone on to careers in as software engineering at Intel, eBay, Cisco Systems, positions at Hewlett Packard, Microsoft, Twitter, Bloomberg, the Air Force Research Lab, and the U.S. Census. Academic placements include assistant professorships at California State University at Fullerton, Valdosta State University, and Harran University, Turkey.

The Master's program leads to a Master of Science in Computer Science. It is intended for students with a strong background in computer science and a desire to prepare for research studies or professional practice. Holders of the baccalaureate degree in computer science or a related field are invited to apply for admission to the MSCS program. Students whose undergraduate degree is not in computer science may be required to complete some preparatory work in addition to fulfilling the requirements listed below.
Program requirements include four core courses taken over the first two semesters of study. These courses are Computer Organization and Architecture, Operating Systems, Programming Languages and Design & Analysis of Computer Algorithms. Three graduating options are offered: a thesis option, a project option and a comprehensive exam. Beyond the 4 core courses, these options require students to complete 4, 5 and 6 elective courses, respectively, chosen from a broad set of courses offered by the Department.

Applicant Qualifications

- Undergraduate major in computer science or related field desirable for admission
- Applicants are additionally expected to have completed coursework in the following areas:
*Algorithms and data structures
*Computer organization and architecture
*Operating systems
*Programming languages
*Discrete mathematics

All applicants must submit the following:

- Online graduate degree application and application fee
- Transcripts from each college/university you have attended
- Two letters of recommendation (three letters of recommendation for PhD applicants)
- Personal statement (2-3 pages) describing your reasons for pursuing graduate study, your career aspirations, your special interests within your field, and any unusual features of your background that might need explanation or be of interest to your program's admissions committee.
- Resume or Curriculum Vitae (max. 2 pages)
- Official GRE scores

And, for international applicants:
- International Student Financial Statement form
- Official bank statement/proof of support
- Official TOEFL, IELTS, or PTE Academic scores

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The Master of Science is intended for those who have a Bachelor's degree in Computer Science or related field, or have sufficient preparation.

The purpose of the programs is to provide the intellectual and practical tools that professionals will need either to pursue or further careers as computer scientists in industry or to pursue a doctorate degree in computer science.

Curriculum

The Master's curriculum is designed with these goals in mind:

• The core modules provide a solid foundation in the fundamental principles of computer science.
• The 500-level electives give exposure to a variety of Computer Science subject areas.
• The 600-level advanced courses give exposure to research topics of current interest and provide in-depth knowledge.

Core: All four modules (12 credits – 3 credits each)

CSC520 — Foundations of Computer Science
CSC530 — Data Structures
CSC540 — Programming Languages
CSC560 — Analysis of Algorithms

Electives: At least four 500-level electives (at least 12 credits – 3 credits each)

CSC525 — Operating Systems
CSC535 — Networks and Data Communications
CSC545 — Database System Concepts
CSC555 — Software Engineering
CSC565 — Compiler Design
CSC570 — Computer Architecture
CSC573 — Graphics and User Interfaces
CSC575 — Artificial Intelligence
CSC581 — Topics in Computer Science
CSC582 — Topics in Information Systems
CSC583 — Topics in Computer Security
CSC584 — Topics in Web Technology
CSC585 — User Interfaces in Java
CSC586 — System Administration and Security
CSC587 — Web Services
CSC588 — Wireless Programming and Security
CSC589 — UML and Pattern Design

Advanced: At least two 600-level (at least 6 credits – 3 credits each)

CSC600 — Advanced Seminar
CSC603 — Advanced Seminar in Computer Security
CSC604 — Advanced Seminar in Web Technology
CSC605 — Internship
CSC610 — Independent Research
CSC620 — Master's Thesis

To find out more information about the curriculum please visit the website:

http://www.cs.wcupa.edu/grad/masters.html

Internships

West Chester University students may register for a Computer Science Internship and work part time or full time in Summer II or during regular semesters. Students who are not Computer Science majors should use CSC300 (3 credits). Computer Science majors should use CSC400 (6 credits); of the 6 credits, 3 credits can be used to satisfy the major requirements, and the other 3 credits satisfy general electives. Computer Science graduate students should use the course number CSC605 (3 credits).

For more information please visit the website:

https://www.wcupa.edu/internships/

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Program overview

The computer science program is designed for students who have an undergraduate degree (or minor) in computer science, as well as those who have a strong background in a field in which computers are applied, such as engineering, science, or business.

The degree is offered on a full- or part-time basis. Courses are generally offered in the afternoons and evenings to accommodate part-time students. Full-time students take three or four courses per semester and may be able to complete the course work in three semesters. Full-time students who are required to take additional bridge courses may be able to complete the course work in four semesters. Part-time students take one or two courses per semester and may be able to complete the course work in four to five semesters. The time required to complete a master's project is one semester, but can vary according to the student and the scope of the topic. Two semesters is typical.

Plan of study

The program consists of 30 credit hours of course work, which includes either a thesis or a project. Students complete one core course, three courses in a cluster, four electives, and a thesis. For those choosing to complete a project in place of a thesis, students complete one additional elective.

Clusters

Students select three cluster courses from the following areas (see website for individual area information):
-Computer graphics and visualization
-Data management
-Distributed systems
-Intelligent systems
-Languages and tools
-Security
-Theory

Electives

Electives provide breadth of experience in computer science and applications areas. Students who wish to include courses from departments outside of computer science need prior approval from the graduate program director. Refer to the course descriptions in the departments of computer science, engineering, mathematical sciences, and imaging science for possible elective courses.

Master's thesis/project

Students may choose the thesis or project option as the capstone to the program. Students who choose the project option must register for the Project course (CSCI-788). Students participate in required in-class presentations that are critiqued. A summary project report and public presentation of the student's project (in poster form) occurs at the end of the semester.

Curriculum

Thesis/project options differ in course sequence, see the website for a particular option's modules and a particular cluster's modules.

Other admission requirements

-Submit official transcripts (in English) of all previously completed undergraduate and graduate course work.
-Submit scores from the Graduate Record Exam.
-Have a minimum grade point average of 3.0 (B), and complete a graduate application.
-International applicants, whose native language is not English, must submit scores from the Test of English as a Foreign Language. A minimum score of 570 (paper-based) or 88 (Internet-based) is required.
-Applicants must satisfy prerequisite requirements in mathematics (differential and integral calculus, probability and statistics, discrete mathematics, and computer science theory) and computing (experience with a modern high-level language [e.g., C++, Java], data structures, software design methodology, introductory computer architecture, operating systems, and programming language concepts).

Additional information

Bridge courses:
If an applicant lacks any prerequisites, bridge courses may be recommended to provide students with the required knowledge and skills needed for the program. If any bridge courses are indicated in a student's plan of study, the student may be admitted to the program on the condition that they successfully complete the recommended bridge courses with a grade of B (3.0) or better (courses with lower grades must be repeated). Generally, formal acceptance into the program is deferred until the applicant has made significant progress in this additional course work. Bridge program courses are not counted as part of the 30 credit hours required for the master's degree. During orientation, bridge exams are conducted. These exams are the equivalent to the finals of the bridge courses. Bridge courses will be waived if the exams are passed.

Faculty:
Faculty members in the department are actively engaged in research in the areas of artificial intelligence, computer networking, pattern recognition, computer vision, graphics, visualization, data management, theory, and distributed computing systems. There are many opportunities for graduate students to participate in these activities toward thesis or project work and independent study.

Facilities:
The computer science department provides extensive facilities that represent current technology, including:
-A graduate lab with more than 15 Mac’s and a graduate library.
-Specialized labs in graphics, computer vision, pattern recognition, security, database, and robotics.
-Six general purpose computing labs with more than 100 workstations running Linux, Windows, and OS X; plus campus-wide wireless access.

Maximum time limit:
University policy requires that graduate programs be completed within seven years of the student's initial registration for courses in the program. Bridge courses are excluded.

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USF offers a three-year MS in Computer Science Bridge program that provides a unique opportunity for motivated students from a non-computer science background to pursue a Master's in Computer Science. Students who successfully complete the first year of preparatory classes then continue in the standard two-year MS in Computer Science program.

Real-World Experience - By completing an internship at a technology company, working on a faculty research project, or contributing to an open-source project, the practicum course helps students gain real world experience.

San Francisco Advantage - Located in the heart of San Francisco and close to Silicon Valley, which boasts more tech companies than any other region in the US.

Faculty - Comprising of distinguished researchers and accomplished experts from the Bay Area’s tech companies, the MSCS faculty bring real world computing experience into the classroom.

Small Classes - Close interaction with full-time faculty is a hallmark of the program. Our cohort model enhances the experience during our students’ first year, allowing them to take core courses at the same time.

International Students - may be eligible to work for 36 months in the U.S. after completion of the MSCS program via the OPT program and STEM extension.

Who Can Apply?

Applicants with basic introductory programming background in variables, control structures, structured data types, and functions are eligible to apply. These prerequisites can be completed through introductory programming courses at a local community college, university, online, or through self-study.

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Offered through the Department of Computer Science, the Master of Science in Computer Science helps students acquire advanced programming and coding skills that going beyond basic concepts to cover topics such as artificial intelligence, graphic and user interface and cloud computing.

Taught by faculty from top-tier institutions and within the growing tech industry of the mid-Atlantic region, students can expect a rigorous curriculum that builds on the foundations of computer science while offering course options that address modern technological issues in the following areas:

• Algorithms and theory
• Computer architecture, networks, parallel and distributed computing
• Computer security and information assurance
• Database and information retrieval systems
• Machine intelligence and cognition
• Multimedia, animation, graphics and user interface
• Software engineering and systems

Course Structure

• Credit hours: 30
• Thesis options: Thesis and non-thesis options are available. If student pursues a thesis, coursework will be replaced by research credit courses; if student does not pursue a thesis, additional coursework will fill the remaining credit hours.
• Duration: Two years (full-time) or three years (part-time)

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The Master of Science in Computer Science provides you with a comprehensive background in:

• algorithms, computational theory, computer architecture, operating systems, compiler design and software based systems
• theory and design of modern high-level programming languages and applications in development of systems software
• design and analysis of efficient algorithms
• advanced topics in computer architecture, illustrated by case studies from classic to modern processors, including large-scale computer systems
• topics specific to your area of specialization, such as software engineering, computer security, networks, computer graphics, databases, information security, and artificial intelligence

Our 30-credit curriculum also offers a thesis option in which you’ll take six credits relating to thesis courses. This allows you to gain specialization in areas that make you better qualified for specific research and development opportunities.

Our Entrepreneurship and Technology Innovation Center in Old Westbury offers you the opportunity to join research projects in areas such as cybersecurity, health care, and energy. This may lead to your work getting published in peer-reviewed journals and presented at major conferences. You can also join us at the annual Cybersecurity Conference at our Manhattan campus, where we welcome experts from academic, business, and government worldwide.

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Offered through the Department of Computer Science, the Master of Science in Cybersecurity in Computer Science is designed to meet the fast-growing need for technical cybersecurity experts in national and international organizations, both in the public and private sectors.

With GW's central location in the nation's capital, students can expect to acquire up-to-date skills in protecting computer systems from cyberattacks, while also learning the policy implications of such techniques.

Students take a combination of core courses focusing on the design and analysis of algorithms, computer architectures and advanced software paradigms. These are combined with courses on security (ex. applied cryptography, computer network defense, etc.) and elective courses chosen based on the student's interests.

This program has given GW the honor of being designated as a National Center of Academic Excellence for Information Assurance by the U.S. Department of Homeland Security and National Security Agency. This recognition uniquely qualifies students for internships, scholarships and job opportunities with the U.S. government in the cybersecurity field.

Course Structure

• Credit hours: 30
• Thesis options: Thesis and non-thesis options available.
• Duration: Two years (full-time) or three years (part-time)

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The Computer Science program will introduce you to core areas of advanced computing architecture, advanced operating systems and theories and algorithms used in computing. You will conduct advanced research in software engineering, systems or artificial intelligence as you learn high-demand skills sought by industry.

Program Highlights

State-of-the-art computing facilities including the Integrated Engineering Science and Laboratory Facility (ISELF) Visualization Lab, Sunfire 280R running Solaris, several workstations running Windows and Linux and supercomputing facilities in the Twin Cities.
Five to seven graduate assistantship positions each year.
Research and project labs are equipped with Sun, Silicon Graphics and DEC Alpha workstations.
Program is offered on a part-time or full-time track.

Program Distinctions

Graduates have gone on to work for Amazon, Google, Guidant, Medtronics, IBM, Beckman Coulter and Thomson Reuters among others. They have also continued on to Ph.D. programs where they have been awarded assistantships.
Taught by 13 internationally-recognized faculty members.

Requirements and Details

The GRE is required.

A strong showing (more than 75th percentile) in the quantitative GRE score is essential.
A strong score in the verbal section is also important.
Admission is competitive.

Positive letters of recommendation are important, as is a solid undergraduate academic record.

Lack of a computer science background is usually not a major concern, since prerequisite courses are prescribed. However, a background in the sciences and mathematics is essential.

Admission decisions are made at specific times associated with the application deadlines, usually in the week following the deadlines.

A final admission decision may take up to three weeks to receive from the application deadline and up to ten weeks for I-20s to be issued to international students.

Fully-qualified applicants will have taken courses that cover the following topics:

Non-linear data structures: sorting and searching algorithms.
Computer architecture: hardware organization, I/O interface, interrupt mechanisms and pipeline processor design.
File systems; hashed indexed, ISAM files; B-trees; external sorting.
Programming languages: design and implementation.
Operating systems: process, memory and file system management, device handlers.
Finite mathematics and modern algebra.

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The Master of Science in Computer Science (MSCS) program provides students with a broad background in software development and other core disciplines of computer science, ranging from systems, networking, and distributed programming to algorithms and theory.

Program Highlights

Real-world experience - By completing an internship at a technology company, working on a faculty research project, or contributing to an open-source project, the practicum course helps students gain real world experience.

San Francisco Advantage - Located in the heart of San Francisco and close to Silicon Valley, which boasts more tech companies than any other region in the US.

Faculty - Comprising of distinguished researchers and accomplished experts from the Bay Area’s tech companies, the our faculty bring real world computing experience into the classroom.

Small Classes - Close interaction with full-time faculty is a hallmark of the program. Our cohort model enhances the experience during our students’ first year, allowing them to take core courses at the same time.

International Students - may be eligible to work for 36 months in the U.S. after completion of the MSCS program via the OPT program and STEM extension.

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The Professional Development Certificates are intended for those who would like to obtain certification in the certain specific areas without having to undertake the preparatory work for a Master's degree.

The department of computer science offers a graduate certificate (consisting of four courses each) in Information Systems.

Students will select three or four of the following courses:

STA 511 Intro Stat Computing & Data Management
CSC 545 Database Systems Concepts
CSC 555 Software Engineering
CSC 582 Topics in Information Systems
CSC 586 Sytem Administration and Security

If only three courses are selected, one additional course will need to be selected from the list below:

CSC 520 Foundations of Computer Science
CSC 525 Operating Systems
CSC 530 Data Structures
CSC 535 Networks and Data Communication
CSC 540 Programming Languages
CSC 560 Analysis of Algorithms
CSC 565 Compiler Design
CSC 575 Artificial Intelligence
CSC 581 Topics in Computer Science
CSC 583 Topics in Computer Security
CSC 584 Topics in Web Technology
CSC 585 User Interface In Java
CSC 587 Web Services using XML and SOAP
CSC 588 Wireless Programming and Security
CSC 600 Advanced Seminar
CSC 603 Advanced Seminar in Security
CSC 604 Advanced Seminar Web Technology

Please visit the website for more information about these modules:

http://catalog.wcupa.edu/graduate/sciences-mathematics/computer-science/#coursestext

The Computer Science Information Security Centre

The Computer Science Information Security Center (ISC) recognizes that no computer science graduate should be without information security knowledge. Toward this end, the Computer Science Department has introduced Information Security content such as computer and network security across the undergraduate and graduate curricula.

The curricula set forth by the ISC has been certified by the NSA to meet the National Training Standards for Information Systems Security Professionals (4011) and Systems Administrators (4013).

Career Prospects

Program graduates are employed in the following fields:

• Computer and Information Systems Managers
• Computer and Information Research Scientists
• Software Developers, Systems Software
• Software Quality Assurance Engineers and Testers
• Web Administrators
• Computer Science Teachers, Postsecondary

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The Professional Development Certificates are intended for those who would like to obtain certification in the certain specific areas without having to undertake the preparatory work for a Master's degree.

The department of computer science offers a graduate certificate (consisting of four courses each) in Computer Security (IA).

Students will select four of the following courses:

CSC 525 Operating Systems
CSC 535 Networks and Data Communication
CSC 555 Software Engineering
CSC 583 Topics in Computer Security
CSC 586 Sytem Administration and Security
CSC 588 Wireless Programming and Security
CSC 603 Advanced Seminar in Security
CRJ 555 Topical Seminar in Criminal Justice

Please visit the website for more information about these modules:

http://catalog.wcupa.edu/graduate/sciences-mathematics/computer-science/#coursestext

The Computer Science Information Security Centre

The Computer Science Information Security Center (ISC) recognizes that no computer science graduate should be without information security knowledge. Toward this end, the Computer Science Department has introduced Information Security content such as computer and network security across the undergraduate and graduate curricula.

The curricula set forth by the ISC has been certified by the NSA to meet the National Training Standards for Information Systems Security Professionals (4011) and Systems Administrators (4013).

Career Prospects

Program graduates are employed in the following fields:

• Computer and Information Systems Managers
• Information Security Analysts
• Database Administrators
• Network and Computer Systems Administrators
• Computer Network Architects
• Telecommunications Engineering Specialists
• Computer Network Support Specialists

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The Professional Development Certificates are intended for those who would like to obtain certification in the certain specific areas without having to undertake the preparatory work for a Master's degree.

The department of computer science offers a graduate certificate (consisting of four courses each) in Web Technology.

Students will select four of the following courses:

CSC 515 Introduction to Web Development
CSC 535 Networks and Data Communication
CSC 545 Database Systems Concepts
CSC 584 Topics in Web Technology
CSC 585 User Interface In Java
CSC 587 Web Services using XML and SOAP
CSC 588 Wireless Programming and Security
CSC 604 Advanced Seminar Web Technology

Please visit the website for more information about these modules:

http://catalog.wcupa.edu/graduate/sciences-mathematics/computer-science/#coursestext

The Computer Science Information Security Centre

The Computer Science Information Security Center (ISC) recognizes that no computer science graduate should be without information security knowledge. Toward this end, the Computer Science Department has introduced Information Security content such as computer and network security across the undergraduate and graduate curricula.

The curricula set forth by the ISC has been certified by the NSA to meet the National Training Standards for Information Systems Security Professionals (4011) and Systems Administrators (4013).

Career Prospects

Program graduates are employed in the following fields:

• Web Developers

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This comprehensive, interdisciplinary program will prepare you as an expert in information assurance. You will be equipped with information security technologies and knowledge to support and protect the nation's information infrastructure and conduct advanced research. You will develop skills in both management and technical areas.

Program Highlights

Students eligible to apply for the ​​Scholarship for Service ​scholarship from the National Science Foundation and the Department of Homeland Security, a two-year grant that includes a $64,000 stipend, tuition, books, health insurance and travel to a cybersecurity job fair.
Offered as a five year undergraduate/graduate combined program through the Information Systems Track.
Designed for part-time or full-time students.
Pre-requisite courses are available for those lacking an information systems or computer science background.
Offered through the Department of Information Systems together with the Department of Computer Science and Information Technology.
Five-year track students are eligible to apply for one of 45 National Science Foundation STEM scholarships, a two-year grant that includes a $12,000 stipend.

Program Distinctions

All faculty hold a Ph.D. in their field.
Designated as a National Center of Academic Excellence in Information Assurance/Cybersecurity by the National Security Agency and the Department of Homeland Security.
Designed using the Association for Computing and Machinery Model Curriculum and Guidelines and the National Security Agency Guidelines and Requirements.

Requirements and Details

A baccalaureate degree in information systems, computer science, computer engineering, computer networking, telecommunication or related programs is preferred.

Lack of an information systems or computer science background is usually not a major concern, since prerequisite courses are available if needed.

A background in the sciences and mathematics is essential.

Strong communication skills, verbal and written are needed for coursework demands.

Fully-qualified applicants will have taken courses that cover the following topics:

Database modeling, network structure/architecture
Operating systems, theory
Discrete structures and one year of programming
Statistics

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Administered jointly through the Department of Computer Science and the Department of Engineering Management & Systems Engineering, the Master of Science in Data Analytics aims to address the growing demand for professionals skilled in big data and data analytics in government, industry and research organizations.

Through courses led by top faculty members at the School of Engineering & Applied Science and the School of Business, this program is conducted in small cohorts and covers topics in computer science, business analytics and systems engineering while focusing on the foundations of analytics from a technical engineering perspective.

Students choose from two tracks: Computer Science or Engineering Management & Systems Engineering. Download the brochure (PDF) to learn the difference.

Program Outcomes

Students in the program should expect to:

• Apply data science and analytics techniques in the decision-making process of a wide range of organizations.
• Demonstrate the ability to store, clean and transform data.
• Demonstrate improvements in the decision-making process by using and applying analytics techniques to interpret results 
• Design and implement computing infrastructure and algorithmic techniques for big data analytics.
• Explore the engineering foundations that propel the fields of data science and analytics.
• Gain hands-on experience with analytical tools for big data.
• Pursue or enhance careers as data analysts or data scientists.

Course Structure

• Credit hours: 33
• Duration: Two years (full-time), three years (part-time)

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