Earn your master’s degree in data science.
With a master’s degree in data science, you’ll combine technical knowledge with an ability translate data into actionable insights and drive decision making. Our unique applied approach emphasizes the use of data science in enterprise operations and processes. You’ll gain expertise in the areas of data capture, management, analysis, and communication. Build your resume through hands-on projects using real-world data sets. And graduate ready to start your career in one of today’s fastest-growing fields.
- Learn visual and computational data science methods.
- Leverage new technologies like AI and machine learning.
- Develop in-demand technical skills in Tableau, SQL, R and Python
- Pursue a career in one of today’s fastest-growing, most in-demand fields.
- Complete your master’s degree in data science in as little as one year.
Quick Info
Next term starts Spring 2025
11 Courses / 34 Total Credit Hours
What can I do with a master’s in data science?
A master’s degree in data science opens doors to careers across industries. Analyze consumer behavior as a marketing analyst. Influence policy decisions while working with the government. Or identify ways to help underserved communities at a nonprofit. As a data scientist, you’ll have in-demand skills and knowledge, and great earning potential.
SAMPLE JOB TITLES
- Data scientist
- Analytics manager
- Data engineer
- Director of data science
- Computer systems analyst
- Quantitative developer
- Machine learning developer
- Big data architect
Fastest-Growing
Field in the US
Bureau of Labor Statistics
Median pay for
data scientists
Bureau of Labor Statistics
Expected Growth of
data science jobs
Much faster than average, BLS
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: 18 credits
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.
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.
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.
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.
to career support staff
you access to
mentoring and jobs
Syracuse University is accredited by
the Middle States Commission
on Higher Education Accreditation.
