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Masters Degrees in Software Engineering, USA

We have 25 Masters Degrees in Software Engineering, USA

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See the department website - http://www.se.rit.edu/grad. The master of science in software engineering is designed to attract professionals with a formal undergraduate background in software engineering, computer science, or computer engineering and at least one year of professional experience. Read more
See the department website - http://www.se.rit.edu/grad

The master of science in software engineering is designed to attract professionals with a formal undergraduate background in software engineering, computer science, or computer engineering and at least one year of professional experience. The program’s core content ensures that graduates will possess both breadth and depth of knowledge in software engineering. Specialization tracks in software quality and design provide students with the opportunity to match their graduate education with their professional goals.

Plan of study

The program comprises 36 semester credit hours, anchored by either a thesis or a capstone project.

Admission requirements

To be considered for admission to the MS program in software engineering, candidates must fulfill the following requirements:

- Hold a baccalaureate degree from an accredited institution,

- Have a cumulative grade point average of 3.0 or higher (Prospective students from institutions that do not use the GPA scale are expected to demonstrate an equivalent level of academic accomplishment. Formal academic background in software engineering, computer science, or computer engineering is a plus.),

- Submit official transcripts (in English) of all previously completed undergraduate and graduate course work,

- Submit a professional essay (1-4 pages) describing current job (if applicable), relevant experience, and career plans,

- Submit a current resume (including descriptions of significant software projects in which the candidate participated),

- Submit two letters of recommendation, 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 (TOEFL). Minimum scores of 570 (paper-based) or 88 (Internet-based) are required. International applicants must provide Graduate Record Exam (GRE) scores. Domestic students are encouraged to provide GRE scores.

Professional experience developing software is preferred, but candidates without a background in computing will be considered. Additional bridge course work will be required, and may extend time to graduation.

Additional information

- Bridge courses

Based on the evaluation of academic and relevant experience, the graduate program director may require some applicants to successfully complete bridge courses to fill in any gaps in their background. Successful completion of bridge courses is necessary for registration in graduate-level courses.

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A Message from Department Chair Lekan Latinwo, Ph.D. On behalf of Biology faculty, staff, and students, I am delighted to welcome you to the department of Biological Sciences at Florida A&M University, and to also provide you with a brief overview of our department through this electronic medium. Read more

A Message from Department Chair Lekan Latinwo, Ph.D

On behalf of Biology faculty, staff, and students, I am delighted to welcome you to the department of Biological Sciences at Florida A&M University, and to also provide you with a brief overview of our department through this electronic medium. The department offers Bachelors and Masters Degree programs and currently has an enrollment of 850 majors with low attrition rate. The undergraduate degree program consists of three tracks: 1) General Biology, 2) Pre-Medicine/Pre-Dentistry, and 3) Cellular and Molecular Biology. The M.S. degree is offered in the following three areas: 1) Cell and Molecular Biology, 2) Physiology, 3) Ecology and Plant Physiology.

We are fortunate in our department to have a dynamic group of faculty, staff and students whose strength reside in our abilities to appreciate old ideas, while eagerly willing to investigate and advance new ideas, and promote enduring knowledge. In addition, we are aiming at creating an academic environment in which both young and old students and scholars from all races and ethnic backgrounds can congregate for educational challenges and opportunities to perform their ultimate best. In our department, we strive to shape the agenda and totally refuse to let it shape us. We also engage in necessary dialogues to define and reinforce the goals and values of our department as it relates to the university mission of Excellence with Caring.

OUR MISSION

The Department of Biological Sciences' Mission parallels the mission of Florida A&M University’s, which is to provide an enlightened and enriched academic, intellectual, moral, cultural, ethical, technological and student-centered environment, conducive to the development of highly qualified individuals who are prepared and capable of serving as leaders and contributors in our ever-evolving society. The department is dedicated to providing contemporary quality undergraduate and graduate education in several areas of Biological Sciences including Pre-medical Biology to Science Education. The structure of our programs ensures that students are exposed to courses that will prepare them for careers in all areas of the field of biology. The laboratory experiences offered by the department require that students develop competencies in the use of modern biological techniques, and in the analysis, interpretation and presentation of data. Part of our mission is to create opportunities for our students to gain research experience. Many of our talented faculty members serve as mentors to our undergraduate students conducting research. Our students are well prepared to enter graduate or professional schools, such as medical, dental and pharmacy school, or to enter immediate employment after graduation. It is our goal to produce graduate students who conduct publishable research. We also prepare our graduate students to continue their education in doctoral or medical programs. The department serves non-majors as well, exposing this population of students to biological concepts which impact their lives. The Faculty and Staff of the Department of Biological Sciences strive to always provide Excellence with Caring.

The Department of Biological Sciences Encourages Students to:

* Expand their appreciation for biological diversity

* Form an understanding of Morphology and Physiology of Living systems

* Retain laboratory competency for future careers in the sciences

* Obtain research and presentation experience

* Acquire internship and volunteer experience

* Gain teaching and tutorial experience

* Prepare for Graduate school (M.S. or Ph.D.), Professional School, and Employment in the Sciences



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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. Read more
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 MS in data science has a strong career focus and aims to prepare students with the practical and theoretical skills to handle large-scale data management and analysis challenges that arise in today's data-driven organizations. Read more

The MS in data science has a strong career focus and aims to prepare students with the practical and theoretical skills to handle large-scale data management and analysis challenges that arise in today's data-driven organizations.

The program enables students to work with active researchers in the field of data science, analytics, and infrastructure who can provide hands-on experience with real data and real problems. The curriculum includes opportunities for students to choose elective courses to pursue a variety of career paths within the broad field of data science and its various application areas. The goal of the program is to prepare students, regardless of their scientific, engineering, or business background, to pursue a career in data science.

The program is broad-based and comprehensive, combining computing and statistics courses. Core courses include statistics, data management, analytics, and software engineering. Elective courses provide students an opportunity to explore different areas of data science while a capstone project or thesis round out the program.

International Applications

International applicants whose native language is not English must submit scores from the TOEFL, IELTS, or PTE. A minimum TOEFL score of 88 (internet-based) is required. A minimum IELTS score of 6.5 is required. The English language test score requirement is waived for native speakers of English or for those submitting transcripts from degrees earned at American institutions.



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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. Read more
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 graduate programs in Electrical and Computer Engineering are designed to prepare students for a broad range of careers by providing a foundation of study in several technical areas. Read more
The graduate programs in Electrical and Computer Engineering are designed to prepare students for a broad range of careers by providing a foundation of study in several technical areas. Your course of study will be individualized to suit your interests, with intensive training in numerous specializations, such as all aspects of computer engineering, control systems, signal processing and communications, information assurance, VLSI, microelectronics, electro-optics, and power/energy.

The Master's of Science (MS) degree program prepares students for development-oriented engineering careers and/or continuation onto doctoral studies by providing a balance of advanced theory and practical engineering knowledge. The typical time for completion of the MS is 18–24 months of full-time study.

Applicant Qualifications

- Undergraduate major in electrical engineering, computer engineering or related field
- Previous coursework experience in each of the following (or equivalent) areas:
*Calculus through differential equations
*Computer programming
*Electrical circuits
*Electronics
*Digital design logic
*Laboratory experience

- Qualified applicants with non-ECE backgrounds may be extended an offer of conditional admission which will last until they fulfill the department's requirements for regular admission (generally, completion of specific undergraduate courses)
- Minimum GRE quantitative scores of 700 (old scale; 155 new scale); (750 old scale preferred; 169 new scale). GRE scores not required for graduates of ABET-accredited engineering programs
- Minimum TOEFL score of 80 (internet-based exam) for students whose native language is not English. A minimum score of 100 is desirable for students seeking teaching assistantships

All applicants must submit the following:

- Online graduate degree application and application fee
- Transcripts from each college/university at which you earned a degree
- Two letters of recommendation (except PhD applicants, as described above)
- 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 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. Read more
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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Health informatics studies the nature of medical data and the use of information technology to manage health-related information in medical practice, education, and research. Read more

Health informatics studies the nature of medical data and the use of information technology to manage health-related information in medical practice, education, and research. With increases in the application and uses of information technology in the medical industry, there is an unprecedented need for professionals who can combine their knowledge of computing and health care to improve the safety and quality of care delivery, as well as to help control costs.

The MS degree in health informatics applies the creative power of information technology to the information and data needs of health care. This includes the acquisition, storage, and retrieval of patient data, as well as access to electronically maintained medical knowledge for use in patient care, research, and education. Professionals in the field require computing expertise; an understanding of formal medical terminology, clinical processes, and guidelines; and an understanding of how information and communication systems can be used to successfully deliver patient information in various health care settings. The program is offered online only.

The program offers two tracks: the clinician track and analyst track.

Admission requirements

To be considered for admission into the MS program in health informatics, candidates must fulfill the following requirements:

  • Complete a graduate application.
  • Hold a baccalaureate degree (or equivalent) from an accredited university or college (MD, RN, or other professional degree).
  • Submit official transcripts (in English) of all previously completed undergraduate and graduate course work.
  • Have a minimum cumulative GPA of 3.0 (or equivalent).
  • Submit a professional essay describing relevant employment or other experience and career plans (recent undergraduate students without extensive employment experience should discuss their career plans as well as any courses they have completed that are relevant to medical informatics, health care, or information technology).
  • Submit three letters of recommendation from individuals who are able to assess the applicant’s potential for success in the program.
  • Have completed at least one year of computer programming in a current object-oriented language or have equivalent work experience.*
  • Have knowledge of medical terminology/vocabulary, clinical processes, and information systems that are used to support health care activities and processes.
  • Have a familiarity with anatomy and physiology, including the major systems of the human body, including the skeletal system, muscle tissue physiology, muscular system, nervous system, cardiovascular system, respiratory system, urinary system, and histology.
  • Have completed the equivalent of one statistics course that covers the fundamental statistical principles necessary to interpret data and present results, including descriptive statistics, random sampling, normal distribution, confidence intervals, and hypothesis testing. (This prerequisite may be completed post-admission if necessary.)
  • Submit a current resume or curriculum vitae.

International Applications

  • International applicants whose native language is not English must submit scores from the TOEFL, IELTS, or PTE. A minimum TOEFL score of 88 (internet-based) is required. A minimum IELTS score of 6.5 is required. The English language test score requirement is waived for native speakers of English or for those submitting transcripts from degrees earned at American institutions.
  • Applicants without previous graduate study and with an undergraduate GPA that is less than 3.0 may be considered for admission, but will be required to submit Graduate Record Exam (GRE) scores. Applicants from international universities are required to submit GRE scores.
  • An interview with the program’s admissions committee may also
  • be required.


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Parsons’ Master of Science in Data Visualization is a multidisciplinary program in which students develop skills bringing together visual design, computer science, statistical analysis, and ethical considerations of data analysis and representation. Read more

Parsons’ Master of Science in Data Visualization is a multidisciplinary program in which students develop skills bringing together visual design, computer science, statistical analysis, and ethical considerations of data analysis and representation. The presentation of data plays a critical role in the shaping of opinion, policy, and decision making in today’s increasingly global society. Giving students a competitive edge as they enter the field, the MS program responds to the increased demand for experts who can turn data into insight.

This program is part of Parsons' School of Art, Media, and Technology (AMT). Learn about the AMT community and explore our blog to see what students, faculty, and alumni are doing in NYC and around the world.

Theory and Practice

Housed within Parsons’ School of Art, Media, and Technology, the MS Data Visualization program can be completed in one or two years. The 30-credit curriculum integrates theory and studio practice, so students acquire the creative, quantitative, and coding tools needed to analyze and depict data, gaining a holistic understanding of context, audience, and objectives. With the MS in Data Visualization, students obtain the diverse skill set needed for success in a range of careers related to data interpretation. Students graduate with portfolios demonstrating their ability to create databases and Web-based software tools that reflect an understanding of data analysis and information visualization for varied applications.

Opportunities with Local Industry

The program’s setting in New York City, a technological hub and pioneer of open-source culture, offers invaluable industry access. Students intern with industry leaders and external partners from the government, nonprofit, and commercial sectors. Faculty invite guest lecturers and critics to share their insights and expose students to new possibilities in data visualization and related career paths.

Future Opportunities

Graduates find success in a wide variety of fields including data analysis, digital design, advertising and branding, journalism, business consulting and analytics strategy, management, strategic planning, entrepreneurship, social enterprise, public policy, trend forecasting, and business intelligence.

You can request more information about all possible future opportunities here: http://www.newschool.edu/m/data-visualization?utm_source=find_a_masters&utm_medium=hyperlink_listing&utm_campaign=pm_parsons_grad&utm_term=data_visualization

Financial Aid Deadline

All applicants selected for admission into our program are considered for a merit scholarship award that is determined by the strength of their application. Scholarship award notification is communicated at the same time as the admission decision. International students are eligible only for merit scholarships. If you are a U.S. citizen or eligible noncitizen, we encourage you to complete the Free Application for Federal Student Aid (FAFSA), which can be found on the Web at http://www.fafsa.gov. The FAFSA is available each year on October 1. You do not need to wait for an admission decision to apply for federal aid; we recommend submitting by our FAFSA priority deadline of February 1 for fall applicants. (The New School’s federal school code is 002780.)

You can request more information on available scholarships here: http://www.newschool.edu/m/data-visualization?utm_source=find_a_masters&utm_medium=hyperlink_listing&utm_campaign=pm_parsons_grad&utm_term=data_visualization



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Offered through the . Department of Electrical and Computer Engineering. , the Master of Science in Computer Engineering prepares students to apply sophisticated computer architecture and integrated circuit design techniques toward modern computing systems using industry-standard design tools. Read more

Offered through the Department of Electrical and Computer Engineering, the Master of Science in Computer Engineering prepares students to apply sophisticated computer architecture and integrated circuit design techniques toward modern computing systems using industry-standard design tools. Faculty and students work together to explore solutions for photonic computing; create state-of-the-art advances in high-performance computing; and improve the reliability of cloud computing.

The program offers up-to-date knowledge and skills in the advances of computer systems architecture and networking, as well as the rapidly-growing use of superscalar microprocessors, real-time embedded systems, VLSI and ASIC design modules, digital signal processors and networked computing platforms. 

Students may choose to focus on the following areas of focus in their coursework and thesis:

  • Computer architecture and high-performance computing
  • MEMS, electronics, and photonics (microelectronics and VLSI systems)

Course Structure

  • Credit hours: 30
  • Thesis options: Students who choose to complete a thesis take 24 credit hours of course work and 6 credit hours for thesis research. These 6 credit hours must be taken over two semesters. Students who choose the non-thesis option take 30 credit hours of coursework.
  • Duration: Two years (full-time) or three years (part-time)


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The Department of Electrical and Computer Engineering (ECE) offers two master graduate degree programs in ECE. Master of Science (MS) and Master of Engineering (ME). Read more

The Department of Electrical and Computer Engineering (ECE) offers two master graduate degree programs in ECE: Master of Science (MS) and Master of Engineering (ME)

  • The MS degree is intended for students who want the opportunity to obtain some expertise in research in a specific ECE area. For the MS degree students must take eight courses beyond their BS degree, do research under direct advising by an ECE faculty member in their chosen area of specialization, write and defend an original thesis.
  • The ME degree is intended for students who want to get broader knowledge in ECE. The ME degree students have two study options: either take ten courses beyond their BS degree and pass a Master Comprehensive Exam, or take nine courses beyond the BS degree and do a master project with an ECE faculty mentor.

Why pursue graduate studies in ECE?

  • The MS, ME and PhD programs in ECE offer opportunities for advanced course work as well as challenging research projects to prepare students for leadership roles in engineering careers with industry, government, research organizations, or educational institutions.
  • ECE graduate programs stress both theoretical and practical aspects of Electrical and Computer Engineering by combining the teaching and research expertise of the ECE faculty with additional research resources in the Hampton Roads area through department labs and university centers/institutes.
  • ECE faculty are very active in conducting cutting-edge research projects which provide both research experiences and financial support for qualified graduate students. Graduate teaching and research assistantships are awarded on a competitive basis and include a stipend along with full or partial tuition waiver.

Related Experiences

  • The ECE department has research laboratories focusing on Advanced Signal Processing in Engineering and Neuroscience; Applied Plasma Technology; Computer Vision; Cybersecurity, Communications and Networking; Medical Imaging, Diagnosis, and Analysis; and Systems research.
  • University centers with which ECE faculty work include the Applied Research Center, the Frank Reidy Center of Bioelectrics, the Laser and Plasma Engineering Institute, the Virginia Institute for Photovoltaics, and the Virginia Modeling, Analysis, and Simulation Center.
  • Additional research facilities in the Hampton Roads area with which ECE faculty collaborate include NASA Langley Research Center and Jefferson Lab.

Careers

After graduation, our MS, ME and PhD graduates are employed as electrical and computer engineers supporting industries like automotive, manufacturing, systems integration, shipbuilding, aerospace, defense, telecommunications, etc. They are also employed as researchers by private research and development labs or by federally funded organizations (Jefferson Lab, NASA, or the Naval Research Laboratories). Some of our former doctoral students have also gone into academic careers doing postdoctoral fellowships or are working in universities as faculty members.

You can request more information here: https://odugrad.askadmissions.net/emtinterestpage.aspx?ip=graduate



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