Program Overview

Applied Data Science Master’s Degree

Overview

Our Master’s in Data Science program is designed to equip you with cutting-edge technical expertise and the ability to translate complex data into actionable insights that help you drive impactful decisions. Through practical experience with industry-relevant data sets, you’ll develop expertise in data collection, management, advanced analytics, and effectively communicating insights to diverse audiences.

Program Details

• Combines information science with management principles.
• Available on-campus or online to suit your schedule.
• Finish the 34-credit program in as little as one year.
• Qualifies for up to 36 months of OPT for international students.
• Work with real-world data sets for hands-on experience.

Program Info

• Next term starts: Spring 2026
• Total Credit Hours: 34
• Program Duration: Complete in as little as one year
• Program Delivery: Available both on-campus and online
• Courses: 11
• International Students: STEM-designated program, eligible for up to 36 months of OPT

Admissions Requirements

To apply for the on-campus Master of Science in Applied Data Science at Syracuse University's School of Information Studies (iSchool), follow these steps:

1. Complete the Graduate Program Application – Submit your application through the Graduate Program Application portal. After submission, you’ll receive an email confirmation from Syracuse University.
2. Pay the Application Fee – A non-refundable fee of $75 is required. If you’re applying to multiple programs, each requires a separate application and fee. Post-9/11 veterans may qualify for a fee waiver; contact the Veterans Resource Center for details.
3. Submit Academic Transcripts – Provide one copy of transcripts from all postsecondary institutions you’ve attended. While unofficial transcripts are acceptable for initial review, official transcripts confirming a U.S. bachelor’s degree (or equivalent) are necessary upon admission. Failure to provide official transcripts may result in revocation of admission.
4. Write a Personal Statement – In approximately 500 words, discuss your academic and personal interests, relevant experiences, reasons for choosing this degree and Syracuse University, and your future plans post-graduation. Upload this document through the online application.
5. Obtain Two Letters of Recommendation – Request two letters from individuals who can assess your qualifications. Recommendations can be submitted electronically via the OnBase application system. If electronic submission isn’t possible, mail sealed letters, signed across the seal by the recommender, to the Graduate Enrollment Management Center.
6. Consider Exam Scores – Submitting GRE scores is optional. If you’ve taken the GRE, GMAT, or LSAT, you’re encouraged to include your scores.
7. Provide a Current Resume or Curriculum Vitae (CV) – Include an up-to-date resume or CV with your application.

Admission requirement for international students

• All international applications are required to submit one of the following: TOEFL, IELTS, orDuolingo scores.
• Exemptions:
  • Applicants with a four-year (or higher) degree from a U.S. institution or select exempt countries (confirm eligibility via).
  • Native English speakers or citizens of English-speaking countries.

Financial Documentation

• Not required for admission review but necessary for visa issuance (I-20).
• Demonstrate funding for at least the first year of study:
  • Privately Sponsored Applicants: Submit a certified bank statement or loan approval letter showing sufficient funds in U.S. dollars.
  • Government-Sponsored Applicants: Submit an original or certified copy of an award letter indicating the annual funding amount.

Scholarships & Awards

The iSchool offers a variety of scholarships and awards to make graduate education more accessible. These include merit-based iSchool Merit Awards, the30% Upstate Scholarship for residents of certain areas in Upstate New York, theInformation Literacy in Academic Libraries Scholarship for those pursuing a career in academic librarianship, and the Veterans and Military Award for military personnel and veterans.

How to Apply

1. Gather Required Documents
2. Complete the Graduate Program Application:
   • Visit the Graduate Program Application portal on the Syracuse University website.
   • Create an account and fill out your personal information, educational background, and program-specific details.
3. Submit Supporting Documents
4. Pay the Application Fee
5. Track Your Application

Tuition & Fees

• Cost per credit: $1,945
• Number of credits: 34
• Total Tuition: $66,130
• International applicants need to show this amount on their financials

Career Opportunities

With the growing demand for data-driven decision-making, there are numerous career possibilities available for those with a strong background in data science. Career possibilities with a Master’s in Data Science include but are not limited to the following:

• Data Scientist
• Data Analyst
• Machine Learning Engineer
• Business Intelligence Analyst
• Data Engineer
• Statistical Analyst
• Artificial Intelligence Specialist
• Data Consultant
• Quantitative Analyst (Quant)
• Research Scientist

F-1 OPT Work Authorization for International Graduates

The MS in Applied Data Science is designated as a STEM program. This designation allows international students maintaining F-1 status to apply for up to 12 months of post-completion Optional Practical Training (OPT) after graduation. Additionally, the program qualifies for the F-1 STEM OPT work authorization extension, as recognized by the Department of Homeland Security (DHS). With qualifying employment, students can apply for an extension, granting them a cumulative total of up to 36 months of F-1 OPT work authorization.

Courses & Curriculum

The ADS degree program is 34 credits and can be completed in as little as one year. The curriculum combines a primary core, secondary core (your data science track), and electives to give you a strong data science foundation with a focus of your choosing.

Core Courses: 15 credits

• Data Administration Concepts and Database Management
  • IST 659 | 3 CREDITS Definition, development, and management of databases for information systems. Learn data analysis techniques, data modeling, data normalization query writing for information retrieval and query performance tuning using the SQL language.
• Quantitative reasoning for Data Science
  • IST 686 | 3 CREDITS Contemporary methods of statistical inference for quantitative data, including Bayesian analysis. Students gain practical skills in data preparation, analysis using R, and communicating results for informed, reliable decision-making.
• Introduction to Data Science
  • IST 687 | 3 CREDITS Introduction to using data science across many different situations. Covers concepts such as data management, transformation, analysis, and machine learning, using R. No programming experience required. Hands-on projects and real-world problem-solving help identify when data science is useful, with emphasis on ethically applying data science.
• Applied Machine Learning
  • IST 707 | 3 CREDITS Provides a comprehensive overview of industry standard machine learning techniques, including an introduction to deep learning. Focus on model building and optimization in Python, real-world applications, and stakeholder communication. Students will apply their skills to an original machine learning project to showcase their skills. PREREQ IST 687, OR IST 387 with a minimum grade of B or higher
• Business Analytics
  • SCM 651 | 3 CREDITS Business analytics including advanced spreadsheets; relational database and SQL queries; statistical analysis in R including multi-linear regression, interactions, tests for regression assumptions, logit, probit; neural networks; and dashboards.

Secondary Core: Students select 6 credits from one of the concentrations below.

• Artificial Intelligence
  • IST 664 – Natural Language Processing 3 credit(s)
  • IST 691 – Deep Learning in Practice 3 credit(s)
  • IST 692 – Responsible AI 3 credit(s)
• Big Data
  • IST 718 – Big Data Analytics 3 credit(s)
  • IST 769 – Advanced Big Data Management 3 credit(s)
• Data and Business Analytics
  • ACC 652 – Accounting Analytics 3 credit(s)
  • FIN 654 – Financial Analytics 3 credit(s)
  • MAR 653 – Marketing Analytics 3 credit(s)
  • MBC 638 – Data Analysis and Decision Making 3 credit(s)
  • SCM 703 – Principles of Management Science 3 credit(s)
• Data Pipelines and Platforms
  • IST 652 – Scripting for Data Analysis 3 credit(s)
  • IST 722 – Data Warehouse 3 credit(s)
  • IST 769 – Advanced Big Data Management 3 credit(s)
• Language Analytics
  • IST 664 – Natural Language Processing 3 credit(s)
  • IST 736 – Text Mining 3 credit(s)
• Project Management
  • IST 644 – Managing Data Science Projects 3 credit(s)
  • IST 692 – Responsible AI 3 credit(s)
• Visual Analytics
  • IST 719 – Information Visualization 3 credit(s)
  • IST 737 – Visual Analytic Dashboards 3 credit(s)

Electives – 12 credits

Exit requirement: 1 credit

Complete a required one-credit course in which you submit a personal portfolio of projects that demonstrate full competency of the learning outcomes to a panel of program faculty.

Faculty Experts

Our program is led by a team of accomplished professionals and industry leaders who bring a wealth of knowledge and real-world experience to the classroom. They are dedicated to supporting your academic and professional growth, ensuring you gain the skills and insights needed to thrive in the field of applied data science.

Frequently Asked Questions

• How long does it take to complete the Applied Data Science graduate program?
  • The Applied Data Science graduate program can be completed in as little as one year, depending on the chosen enrollment option and the pace at which students can progress through their coursework.
• Is a degree in applied data science useful?
  • Yes, a degree in applied data science is highly useful! It equips students with essential skills in data analysis, machine learning, and statistical modeling, making them valuable for a wide range of industries such as technology, healthcare, finance, and consulting.
• Does the iSchool offer MADS for veterans and service members?
  • With a proud tradition of service, Syracuse University provides cutting-edge programs designed to support and empower those who have served or are currently serving in the military.
• Is a career in Applied Data Science a good career?
  • Yes, a career in applied data science is considered one of the most promising career paths in today’s job market. It offers competitive salaries, high demand, and the opportunity to work on impactful projects involving data-driven decision-making.