Applied Data Science
Master’s Degree

ON-CAMPUS AND ONLINE PROGRAM

Earn Your Master’s Degree in Data Science (MADS)

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.
Take charge of your future—apply for your Master’s in Data Science today.

  • 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
Clock

Next term starts: 

Spring 2025

34

Total Credit Hours

Graduate

Program Duration:

Complete in as little as one year

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Program Delivery: 

Available both on-campus and online

11

Courses

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International Students:

STEM-designated program, eligible for up to 36 months of OPT

 
Admissions Requirements
  1. Complete the Graduate Program Application – Submit your application through the Graduate Program Application portalAfter 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 at veterans@syr.edu 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.

For more detailed information, please visit the M.S. in Applied Data Science Application Checklist.

Admission requirement for international students

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

Visit the International Student FAQ for detailed information.

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.

Financial documents must be in English and valid within one year of the semester start date.

 
Scholarships & Awards

These include merit-based iSchool Merit Awards, the 30% Upstate Scholarship for residents of certain areas in Upstate New York, the Information Literacy in Academic Libraries Scholarship for those pursuing a career in academic librarianship, and the Veterans and Military Award for military personnel and veterans.

Eligibility and application details vary by award.

Visit the Graduate Awards and Scholarships for more information.

 
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

If you have any questions or need assistance throughout the process, feel free to reach out to our Enrollment Management team at iGrad@syr.edu. A member of our team will be happy to assist you.

We look forward to receiving your application!

 
Tuition & Fees

Cost per
credit

$1,945

X

Number
of credits

34

=

Total
Tuition

$66,130

*International applicants need to show this amount on their financials

 

What Can You Do with a Master’s in Data Science?

This advanced degree equips you with the skills necessary to work in various industries, including technology, healthcare, finance, marketing, and more. 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 opportunities

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

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.

Gain Experience.

Complement your master’s degree in data science with real-world experience. From student-led consulting projects to research endeavors, internships, networking events and more, we connect you with the experts and the expertise to take the next step in your career.

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two students presenting in front of the classroom

Grow Your Potential.

In addition to getting practical, on-the-job experience, you’ll have opportunities to join a research lab or collaborate with faculty on their academic work. Your focus on data science will mean your skills will be in-demand on almost any iSchool research team.

woman presenting her data science research
woman presenting data to professor

Expand Your Career.

Our dedicated Career Services team is available throughout your program and after. From resume and cover letter prep to interview training, career advising, and alumni and employer connections, you’ll have the support you need to land your dream job.

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All of our students get access
to career support staff
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iSchool alumni give
you access to
mentoring and jobs
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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

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.

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.

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.

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

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 tracks below.

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.

Student Success Stories:
Meet Our Alumni

Our alumni are a testament to the impact and value of our MS in Applied Data Science program. From advancing in their current roles to pioneering innovative solutions in the data science field, their journeys reflect the diverse opportunities this degree unlocks.

Visit our Alumni & Friends page to discover more about their inspiring stories and connect with fellow alumni.

Data Scientist Alum Focused on Security Services, Social Good

William D. Lombardi ‘18, G’19 is a data scientist at Booz Allen Hamilton in Virginia, where he works in security services where he mentors employees that are interested in Data Science.

Read More

Jeff Saltz, expert in data science and AI project management, with extensive industry and academic experience

Jeffrey Saltz

Professor Jeffrey Saltz is here to share insights on leveraging data and AI, with experience from JPMorgan Chase.

Bei Yu

Bei Yu

Professor Bei Yu applies machine learning and NLP to improve scientific and health communication, with research exploring how language shapes the way knowledge is shared and understood.

Jasmina Tacheva, Assistant Professor specializing in social media, social justice, and the impact of user-generated content on human behavior.

Jasmina Tacheva

Join Professor Jasmina Tacheva as she explores how social media drives social justice and digital activism on key issues.

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.
Visit our Faculty and Research pages to learn more and see how their work aligns with your academic and career aspirations.

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.

Meet us in Syracuse, or virtually.

Questions? We’re here to help.

Get access to upcoming events, meet with faculty and current students, connect with alumni, and see what a master’s degree can do for your career and future. Submit your contact info below and we’ll be in touch!

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