Today’s employers increasingly seek information technology (IT) professionals with both the management and advanced technology skills required to help their organizations grow and thrive.
Walden University’s online Master of Information Systems Management program integrates core business and management principles with the advanced technology training you need to compete for in-demand careers in this field.
Designed with input from IT industry leaders and employers, this program will prepare you to evaluate and allocate IT resources effectively; design and manage systems to meet key organizational objectives; and lead IT initiatives and teams across functional areas in diverse organizations.
Recently redesigned to help you gain highly marketable skills more quickly and affordably, the Master of Information Systems Management program enables you to earn a Graduate Certificate in Information Systems after completing your first four courses.
Graduates of Walden’s MISM program will be prepared to:
Walden has been recognized as a National Center of Academic Excellence in Cyber Defense Education.
Find detailed information for this program, including possible occupations, completion rate, program costs, and median student loan debt.
The Master of Information Systems Management program can help prepare you for management or senior-level positions in these areas:
In the Master of Science in Information, Network, and Computer Security, you will:
NYIT professors have been awarded several prestigious research grants in the field, in areas including:
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 (ETIC) 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.
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.
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.
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.
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
The MS in biomedical informatics at NYU School of Medicine’s Sackler Institute of Graduate Biomedical Sciences sharpens students’ practical skills in basic science, translational science, and medical research. Our 12-month curriculum produces professionals who can solve challenging biomedical problems. Request our MS in Biomedical Informatics eBook to learn more.
As a student pursuing a master’s degree in biomedical informatics, you learn to create novel computational and quantitative methods and apply them to biomedical research. The vibrant scientific research community at NYU Langone and NYU School of Medicine offers you the chance to work with nationally and internationally recognized faculty researchers in our laboratories, institutes, and departments. You also have access to our in-house high-performance computing facility.
The rapidly growing field of bioinformatics has influenced many recent healthcare developments, including new opportunities for personalized medicine. These innovations, along with a recent growth in high-throughput genomics technologies, have created a demand for skilled bioinformatics professionals.
Our graduates are prepared for biomedical informatics and computational biology careers in academic research, the pharmaceutical or biotechnology industry, medical centers, hospitals, and insurance and consulting companies.
At NYU School of Medicine’s Sackler Institute of Graduate Biomedical Sciences, students in our 12-month MS in biomedical informatics program acquire the skills and knowledge needed for careers in biomedical informatics and computational biology.
We provide rigorous hands-on training in designing experiments, generating and analyzing data, and modeling biomedical systems in real-life situations. We also prepare our students to enter the workforce by enhancing their consulting, communication, and teamwork skills.
Our program teaches the core competencies needed for the American Board of Medical Specialties subspecialty certification in clinical informatics and benefits junior faculty and early-career investigators interested in additional training in informatics.
Our MS in biomedical informatics requires a minimum of 34 credits, including core and elective courses, as well as practical work experience.
The program typically begins in the summer and spans the next two semesters, with an additional consulting practicum the following summer.
The following are sample courses for summer one.
The following are sample courses for the fall semester.
The following are sample courses for the spring semester.
The following are sample courses for summer two.