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The 36-credit Fast Track is an accelerated degree program for the MS in Applied Data Science (MSADS), and students to complete as many as nine (9) graduate credits by the time their undergraduate degree is conferred. Fast Track also gives students the option to enter the workforce after graduation and complete the remainder of the program online and/or part-time.
Eligibility, Application Deadlines, and Fast-Track Timeline
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What is the difference between Applied Data Science and Business Analytics?
The fields of business analytics and data science share the goal of using large amounts of data to understand information and solve problems. The most significant differences between them are the level of technical knowledge required by practitioners and how that knowledge is used. Through Business Analytics, students develop their abilities to interpret data and guide their organizations in making more evidence-based, actionable business decisions. Through Applied Data Science, students gain insight from complex data and apply analytical and technical skills to execute data-driven decisions. In Business Analytics, students and graduates are developing strategies based on data, while in Applied Data Science, students and graduates query, synthesize, and understand the data to provide to the Business Analytics “person”. Applied Data Science is a bit more technical, and students will still receive foundational business analytics knowledge through the primary core and analytics application core. In Business Analytics, students are not required to enroll in any of the more technical data science courses.Differences between M.S. Applied Data Science and M.S. Business Analytics
Career Directions
The choice between Business Analytics and Applied Data Science ultimately comes down to a student’s post-graduation career goals. Data scientists have been ranked as Glassdoor’s No. 1 best job of 2019, and they are critical to the success of any organization. As the data science field evolves, the demand for analytics skills continues to grow. Employers are actively seeking candidates with the advanced technical expertise to make data-driven decisions. Many Data Science graduates pursue jobs in the engineering and IT field and more technical roles that manage large amounts of data, create visualizations, and design and deploy algorithms that support decision-making tools. Business Analytics students desire greater business experience and specialized knowledge to lead their team or organization. They may work as business analysts or analytics managers, or they may need analytics knowledge to advance in marketing or accounting teams. In these roles, professionals extract data to explain trends, predict future performance, determine best approaches, and explain solutions to stakeholders.
Courses and Curriculum
Both programs are STEM designated and 36-credit hours.
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- IST 649 M001 3 credits
- IST 719 M401 3 credits
- IST 722 M400 3 credits
Certificates of Advanced Study (C.A.S.)
The Certificates of Advanced Study at the iSchool are 15-credit graduate-level certificates that can be taken as stand-alone certificates or as part of a graduate degree program. With a little planning, students can receive both the M.S.A.D.S. and a C.A.S. from the iSchool with only two additional courses to complete the C.A.S. Students who consider an iSchool C.A.S. want to study the latest in information field trends, learn about emerging technologies, boost their workplace edge, freshen their resume, and keep current with changes in the profession.
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- No scholarships awarded to students by another school will transfer into the iSchool
- International students with a non-STEM visa who are coming into a STEM program, and international students who are transferring into a program with a higher or lower number of credits needed to graduate, must notify the Slutzker Center so that they can report the facts of their present situation to immigration services for potential visa adjustment
- Students may transfer a maximum of 6 credits of elective courses into the M.S.A.D.S. program from outside of the iSchool or Syracuse University. Students who want to transfer in courses from other Universities are required to submit a Petition to Transfer Credits form. This will meet the six-credit transfer policy of the program and no more non-IST classes would be allowed. Students who want to transfer in courses from outside of the iSchool but within SU are required to submit a Petition to Faculty form. All classes being transferred in, whether from SU or outside of SU require a minimum grade of B, the course completed should be graduate level, and credits must have been earned within seven years of when the student graduates from the iSchool. Petition forms can be found here: ischool.syr.edu/academics/advising/advising-forms/.
Graduate Degree and Graduation Requirements
Applying for Graduation
Please review the website for graduation requirements here: ischool.syr.edu/academics/advising/graduation-requirements/
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The mission of the Center for Emerging Network Technologies, or CENT, is to understand the future of networking technologies, and to engage students, faculty and industry in the process of defining and shaping that future. Convergence refers to the power of digital media to provide unified communications and new applications, devices and networks involving voice, video, data, text and money. Emerging Network Technologies refers to the other economic and technological trends affecting networking, such as new architectures and protocols and new forms of wireless broadband access. The Center’s research is interdisciplinary and applied, focusing on the management and use of networks and communication as well as relevant public policy and industrial organization issues. The Center serves three distinct constituencies: 1.) It provides a platform for faculty research on digital convergence and networking, 2.) It provides experiential learning for graduate and advanced undergraduate student teams, and 3.) It serves as a mutually beneficial learning interface between the networking technology industries and the School of Information Studies. For more information on projects in CENT, visit ischool.syr.edu/research/research-centers/center-for-emerging-network-technologies/
iConsult Collaborative
The iConsult Collaborative is a university-wide program to build experience for students through real-world client projects involving digital transformation. Student participants in iConsult form project teams representing needed specialty domains of the schools and colleges of the University. Each iConsult team works under the direction of faculty mentors and a student Project Leader who oversees the client relationship and the team’s deliverables. iConsult Project teams analyze, design, recommend, and apply known information tools and approaches to help clients integrate digital technology into their organizations. In 2018, iConsult was revised and expanded into a University-wide program in collaboration with both corporate and community engagement partners and sponsors. This gives the opportunity to involve students from multiple schools and colleges within the University in cross-functional teams. The iConsult Collaborative, as it is now known, builds upon its long-term foundation to work on a broad range of projects leading toward the digital transformation of its clients in several business sectors. The iSchool directs and manages the iConsult Collaborative on behalf of the University. For more information, visit ischool.syr.edu/careers/careerkickoff/iconsult/.
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