| Table of Contents | ||
|---|---|---|
|
...
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
...
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 from 2016-2019, 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.
...
- 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.
...
Class # | Course Title | Credits | Notes |
IST 659 | Data Admin Concepts & Database Mgmt | 3 | MS Common Core and CAS elective |
IST 687 | Introduction to Data Science | 3 | MS Common Core |
MBC 638 | Data Analysis and Decision Making | 3 | MS Common Core |
Spring
...
2021
Class # | Course Title | Credits | Notes |
IST 623 | Introduction to Information Security | 3 | MS elective and CAS Primary Core |
IST 652 | Scripting for Data Analysis | 3 | MS example elective |
IST 707 | Data Analytics | 3 | MS Common Core |
SCM 651 | Business Analytics | 3 | MS Common Core |
Summer
...
2021
Class # | Course Title | Credits | Notes |
IST 625 | Enterprise Risk Management | 3 | CAS Secondary Core example |
Fall
...
2021
Class # | Course Title | Credits | Notes |
IST 618 | Information Policy | 3 | MS elective and CAS elective |
IST 719 | Information Visualization | 3 | MS example elective |
MAR 653 | Marketing Analytics | 3 | MS Analytics Application Core example |
Spring
...
2022
Class # | Course Title | Credits | Notes |
IST 704 | Applied Information Security | 3 | CAS Secondary Core example |
IST 718 | Big Data Analytics | 3 | MS Common Core |
IST 722 | Data Warehouse | 3 | MS example elective |
| Portfolio Milestone Requirement |
| Exit Requirement |
...
Data Application
Data applications are a big part of where our data-driven world is headed. They're how data science gets operationalized. They are how end-users - whether they're subject matter experts, business decision makers, or consumers - interact with data, big and small
Classes to take:
- MBC 638: Data Analysis and Decision Making
- ACC 652: Accounting Analytics
- MAR 653: Marketing Analytics
- FIN 654: Financial Analytics
- SCM 702: Principles of Management Science
...
- IST 664: Natural Language Processing
- IST 687: Introduction to Data Science
- IST 707: Data Analytics
- IST 718: Big Data Analytics
- IST 722: Data Warehouse
- IST 736: Text Mining
- IST 769: Advanced Big Data Administration Concepts and Database Management
- SCM 651: Business Analytics
Text Analytics and Processing
Analyzing and using machine learning on unstructured text data.
...
Syracuse University’s academic integrity policy and procedures are administered by the Academic Integrity Office (AIO) in the Division of Academic Affairs, and all schools and colleges. The AIO works with faculty, instructors, students, and staff to promote understanding of Syracuse University’s academic integrity policy and coordinate its administration. The office also maintains records of all academic integrity cases. Graduate students must open a summary of Syracuse University’s Academic Integrity expectations in MySlice twice a year and provide their electronic signature agreeing to uphold the AI policy.
Due to the ongoing COVID-19 pandemic and related increases in remote work and online education, the University may modify the academic integrity procedures described in the Academic Integrity Policy so that suspected violations can be resolved as fairly and expeditiously as possible based on the unique characteristics of each case. Regardless of any procedural modifications, which will be communicated to students in writing, students will continue to receive notice of their suspected violations, to have an opportunity to give their account of the case, and to have the option to contest the case outcome on appeal. The specific processes used to evaluate each case will depend on the characteristics of that case. These changes have been approved by the Vice Chancellor and Provost, as required on page 2 of this Academic Integrity Policy.
Academic Integrity Policy
...
- 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/
...
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/.
...