Applied Data Science Master’s Degree
Syracuse University, United States
Master of Science in Applied Data Science
Syracuse University
Applied Data Science
Program Overview: MS in Applied Data Science at Syracuse University
The Master of Science in Applied Data Science at Syracuse University is a STEM-designated program offered jointly by the School of Information Studies (iSchool) and the Martin J. Whitman School of Management. It focuses on the practical applications of data science to enterprise operations and processes, particularly in data capture, management, analysis, and communication for decision making.
This 34-credit program can be completed in as little as one year and equips you with proficiency in industry-standard tools including Python, R, SQL, and Tableau. You will work on real-world data sets and projects, building a professional portfolio that demonstrates your competency to prospective employers.
The curriculum offers multiple specialization tracks, including Data and Business Analytics, Language Analytics, Data Pipelines and Platforms, Artificial Intelligence, Big Data, Visual Analytics, and Project Management. International students benefit from STEM OPT eligibility, allowing up to 36 months of post-graduation work authorization in the United States.
Key Program Highlights
- STEM-designated program qualifying international students for up to 36 months of OPT work authorization
- Jointly offered by the iSchool and the Whitman School of Management, blending technical and business expertise
- Seven specialization tracks allowing you to tailor your degree to your career goals
- Hands-on portfolio capstone project reviewed by a panel of program faculty
Curriculum and Course Modules
The MS in Applied Data Science curriculum is structured around a 15-credit primary core, a 6-credit secondary core in your chosen specialization track, elective coursework, and a 1-credit portfolio capstone. This design builds foundational knowledge in databases, data analysis, and business analytics before advancing to specialized techniques and real-world applications.
Data Administration Concepts and Database Management (IST 659)
3 CreditsCovers the definition, development, and management of databases for information systems, including data analysis techniques, data modeling, normalization, and SQL query writing for information retrieval and performance tuning.
Quantitative Reasoning for Data Science (IST 686)
3 CreditsDevelops the statistical and quantitative foundations essential for data science, preparing students to apply mathematical reasoning to real-world data analysis challenges.
Introduction to Data Science (IST 687)
3 CreditsIntroduces core data science concepts including data management, transformation, analysis, and machine learning using R. Emphasizes hands-on projects and ethical applications of data science across multiple contexts.
Big Data Analytics (IST 718)
3 CreditsTeaches students to develop actionable insights from big data using open-source tools such as Python and Spark. Covers scalable data analytics pipelines and advanced machine learning techniques through hands-on projects.
Deep Learning in Practice (IST 691)
3 CreditsIntroduces the concepts and techniques for building deep learning applications. Students gain hands-on experience training neural networks using Python and TensorFlow/Keras, culminating in a real-world project.
Applied Data Science Portfolio (IST 782)
1 CreditA required capstone course in which students submit a personal portfolio of projects demonstrating full competency of the program learning outcomes to a panel of program faculty.
Specialization Tracks and Electives
Admission Requirements
Syracuse University uses a holistic review process for admissions to the MS in Applied Data Science program, welcoming applicants from diverse academic and professional backgrounds. Candidates from non-STEM fields are encouraged to apply, and those who may need additional preparation can be admitted conditionally with bridge coursework. To begin your application, reach out to Uni4Edu for guidance and support.
Academic Requirements
- Academic QualificationBachelor's degree or equivalent from an accredited institution
- Recommended BackgroundStrong background in a data-intensive domain such as business, science, statistics, research, or information technology
- Minimum GPA3.0 GPA or higher required for satisfactory academic progress
- GRE/GMAT ScoresOptional; applicants may submit scores if they believe it strengthens their application
- Application FeeUSD 75 non-refundable fee
English Language Requirements
- TOEFLContact Uni4Edu for current minimum score requirements
- IELTSContact Uni4Edu for current minimum score requirements
- Duolingo English TestContact Uni4Edu for current minimum score requirements
Required Documents
Application Deadlines
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships and Funding
Syracuse University's iSchool offers a range of merit-based scholarships and fellowships for graduate students admitted to the MS in Applied Data Science program. Many awards are granted at the time of admission and do not require a separate application. Contact Uni4Edu for personalized guidance on available funding opportunities.
iSchool Merit Award
Varies (partial tuition coverage)Recognizes students who demonstrate the iSchool's core values of excellence, innovation, integrity, diversity and inclusion, and global engagement. No additional application is required; candidates are automatically considered during the admissions process.
iSchool Current Student Merit Scholarship
Up to 6 credit hours per semesterAwarded to outstanding currently enrolled MS in Applied Data Science students who demonstrate academic excellence and embody iSchool values. Requires a 500-word essay and a minimum 3.0 GPA to maintain eligibility.
Veterans and Military Award
Varies (partial tuition coverage)Available to all on-campus iSchool master's program applicants who are military personnel or veterans. Requires a supplemental 500-word essay on how the chosen field of study will enable the applicant to better serve their country and profession.
For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.
Career Prospects and Outcomes
Graduates of the MS in Applied Data Science program are well-positioned for high-demand roles across technology, healthcare, finance, consulting, and other industries. The program's STEM designation and hands-on curriculum ensure you develop the technical and analytical skills that top employers seek in data professionals.
Potential Career Roles
Top Employers of Syracuse Graduates
Rankings and Recognition
Syracuse University is a well-established private research institution founded in 1870, recognized across multiple global and national ranking systems. The iSchool is particularly renowned for its information and data science programs, holding a top global position in Library and Information Management.
| Subject | Ranking Body | Rank |
|---|---|---|
| Library and Information Management | QS Subject Rankings | #14 |
| Business Analytics (Masters) | QS Business Masters Rankings | #51–60 |
| Business and Economics | THE Subject Rankings | #251–300 |
| Best Colleges for Veterans | U.S. News & World Report | #45 |
How to Apply
Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.
Contact Uni4Edu
Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.
Prepare Your Documents
Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.
Submit Your Application
Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.
Receive Your Offer
Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.
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