Applied Data Analytics
Bachelor’s Degree

Earn Your Bachelor’s Degree in Data Analytics

Businesses of all sizes are increasingly relying on data to drive informed decision-making and maintain a competitive edge. Our Bachelor of Applied Data Analytics program equips you with the technical skills and analytical expertise to transform complex datasets into actionable insights. You’ll gain proficiency in data collection, statistical analysis, data mining, and data interpretation, enabling you to identify trends, optimize processes, and contribute to strategic success in sectors like healthcare, retail, sports, and beyond.

  • Data-driven decision making empowerment.
  • Master visual and computational data science techniques.
  • Gain proficiency in in-demand programming languages like R and Python.
  • Explore advanced methodologies, including machine learning and AI.
  • Tailor your degree with one of six concentrations or a minor.
Program Info
Clock

Next term starts: 

Fall 2025

120

Total Credit Hours

Graduate

Program Duration:

 4 years

Laptop

Program Delivery: 

On-campus

Courses:

8 main courses and 5 electives

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International Students:

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

 
Admissions Requirements

If you’re an incoming first-year student from a U.S. high school or a U.S. citizen or permanent resident studying abroad, please visit the Admission Requirements for First-Year Students to see the full requirements for application.

For Early Decision applicants, ensure you submit the Early Decision Agreement through the Common or Coalition Application. Homeschool applicants should review specific requirements and contact the office by phone (315.443.3611) or email (orange@syr.edu) if needed.

Admission Requirements for International Students

Syracuse University has a rich and longstanding tradition of welcoming international students from all corners of the globe, fostering a dynamic, multicultural environment that enriches both the academic and social fabric of our campus. 

To be considered for admission to Syracuse University, international students are required to complete a list of admission steps, which include submitting all official academic credentials, proof of English language proficiency and more. 

Please visit  International ​Undergraduate Requirements to learn more.

 
Scholarships & Awards

All undergraduate applicants are automatically considered for merit-based scholarships, awarded by the Admissions Committee based on academic achievement, regardless of financial need. These scholarships do not require repayment and are based on the following criteria:

  • Academic credentials
  • Performance on standardized tests
  • Class rank
  • Portfolio or audition results (if relevant)
  • Leadership, community and extracurricular involvement
  • Overall citizenship

In compliance with federal regulations, Syracuse University considers all financial aid resources when determining your eligibility for further assistance. Therefore, any scholarships or grants received from sources outside the university must be reported.

 
Transfer Options

 Follow these steps to complete your application:

  • Complete the Application
  • Pay the $85 Application Fee
  • Submit Official Academic Transcripts to Syracuse University
  • Provide an Academic Recommendation
  • Meet English Proficiency Requirements
  • Submit the Visa/Financial Support Information Form
  • Complete the College Report Form
  • Check for Additional Materials required by your current institution
  • Review Visa and Immigration Information
 
How to Apply

The application process for a Bachelor of Applied Data Analytics program is quick and easy through the Common Application or Coalition Application (powered by Scoir) for both domestic and international students. 

  • Review Enrollment Options and Application Deadlines.
  • View Your Application Checklist 
  • Complete the Common Application or Coalition Application powered by Scoir and submit it to Syracuse University.
  • Check for Additional College-Specific Requirements
  • Submit Standardized Test Scores (If Applicable)
    • For students applying for Fall 2024, Spring 2025, Fall 2025, or Spring 2026, SAT/ACT scores are optional.
    • Students who choose to submit scores can provide either self-reported or official scores.
    • Self-Reporting Scores: You may enter your scores via the Common or Coalition Application. Be sure to report them exactly as you receive them.
    • Official Scores: If you decide to send official scores, use the following codes: 

SAT: 2823, ACT: 2968

If you have any questions or need assistance throughout the process, feel free to reach out; members of our team will be happy to assist you.

 
Tuition & Fees

Cost per
credit
$530.92

X

Number
of credits
120

=

Total
Tuition
$63,710

First- and second-year undergraduates will have the “Living On Campus” Cost of Attendance, while third- and fourth-year students will be assigned the “Living Off Campus” Cost of Attendance.

 

What Can You Do with a Bachelor’s in Data Analytics?

With a Bachelor’s in Data Analytics, you’ll be equipped to drive key decisions across various industries. As a data scientist, you’ll help businesses make product, policy, and program choices, or you can analyze consumer behavior and optimize strategies as a marketing analyst.

You could influence critical policy decisions while working with government agencies or identify data-driven solutions to support underserved communities at nonprofits. The demand for data-driven insights spans every sector, and with your expertise, the opportunities are limitless.

#0
FASTEST-GROWING
FIELD IN THE USA
Bureau of Labor Statistics
MEDIAN SALARY FOR
DATA SCIENTISTS
Bureau of Labor Statistics
$0
0%
Expected Growth of
Data Scientist jobs
Much faster than average, BLS

Find Your Community.

At iSchool, we’re a collaborative, forward-thinking community that values fresh ideas and diverse perspectives. Forget the suits—our environment is dynamic and entrepreneurial, making us the fast-paced startup of the Syracuse campus. Join us and unlock a future without boundaries.

Life at the iSchool

Gain Experience.

Many business programs focus on the theory of data analytics, but here, we take a hands-on, real-world approach. That’s why so many of our students engage in major consulting projects while still in school, intern with leading global companies, and gain firsthand experience by traveling the world to see how businesses leverage data analytics in diverse industries. You’ll not only learn the concepts but also apply them in dynamic, real-life settings.

Learn More

Pursue Your Future.

Each year, our graduates boast the highest job placement rates and starting salaries of any school at Syracuse. This success is driven by their unique blend of technical expertise and business acumen. Top companies like Google, Amazon, EY, and Disney actively seek iSchool graduates, knowing they bring the skills and strategic thinking needed to thrive in the competitive market.

Explore Careers

0
Average salary of
last year’s class
0%
We have the highest job placement
rate of any school at the university

Syracuse University is accredited by
the Middle States Commission
on Higher Education Accreditation.

Courses & Curriculum

The B.S. in Applied Data Analytics is 120 credits. The curriculum blends major courses with a general core in information technology. Students also have the opportunity to explore other disciplines with liberal arts requirements.

View Full Course Catalog

Applied Data Analytics Primary Core: 21-22 credits

IST 101 | 1 CREDIT
Transition to life at the iSchool and Syracuse University, and become more familiar with the information field. Explore the range of possibilities that our undergraduate degree is designed to provide.

IST 195 | 3 CREDITS
State-of-the-art technologies in the field. Computer architectures, telecommunication networks, software design and application. Issues in information management and technology use.

IST 343  | 3 CREDITS
Critically examine how individuals, groups, and societies create and are created by digital data and algorithms. You will analyze the social, political, legal, and environmental impacts of data and data-driven technologies across varying contexts including social media and (generative) AI.

IST 344  | 3 CREDITS
This course teaches students to synthesize and present organized information for various audiences using text, graphics and multimedia. It emphasizes presentation skills, impactful visuals, communication strategies, and foundational training for professional delivery.

IST 356  | 3 CREDITS
Approaches for building pipelines in data analytics using the Python programming language; data cleaning, extraction, wrangling, API’s, web scraping. Building data products. Programming experience required.

IST 359  | 3 CREDITS
Learn relational database basics, including design and development. This course covers SQL for creating tables, querying data, managing metadata, and touches on advanced SQL. It also focuses on database design using ER diagrams and data normalization to optimize relational databases.

IST 387  | 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 414  | 3 CREDITS
This course introduces students to a variety of approaches to answer questions in a variety of contexts (e.g. business, society, friendships, politics).  Students will learn how to ask good questions and answer those questions ethically using a variety of data-driven approaches, including quantitative, qualitative, and computational.

Analytical Course Electives: 9 credits

IST 407 | 3 CREDITS
Introduction to machine-learning techniques and their underlying algorithms. Students learn to build machine learning pipelines that transform raw data into machine learning models that yield actionable insights using real-world data. Hands on programming experience in the Python language with industry standard technologies.
PREREQ IST 387

IST 418 | 3 CREDITS
Learn to develop actionable insights from big data using open-source tools (Python and Spark). This course prepares students to build scalable data analytics pipelines and apply advanced machine learning techniques, culminating in a hands-on project tackling real-world challenges.
PREREQ IST387 

IST 421 | 3 CREDITS
Introduction to skills and techniques related to information visualization, through various programming and illustration tools, data cleaning techniques, design concepts and ethics.  Develop static data visualizations to explore and communicate findings from a variety of data sources.
PREREQ IST256 or IST359 or IST387 or SAL413

IST 462 | 3 CREDITS
Double Numbered with IST 652
Scripting for the data analysis pipeline. Acquiring, accessing and transforming data In the forms of structured, semi- structured and unstructured data. Additional work for graduate students.
PREREQ IST 256

IST 469 | 3 CREDITS
Double Numbered with IST 769
Analyze relational and non-relational databases and corresponding database management system architectures. Learn to build complex database objects to support a variety of needs from big data and traditional perspectives. Data systems performance, scalability, security. Additional work required for graduate students.
PREREQ IST 359

Concentrations and Electives: 15 credits

Enhance your knowledge of electronic commerce, technologies, and layout strategy for retail corporations.

Understand how hackers and computer viruses work to improve cybersecurity and protect information.

Develop the creativity, innovation, and entrepreneurial skills needed to run a business.

Study the development of network technologies, such as cloud services, and their effect on users.

Develop managerial and technical skills to oversee informational systems and create business policies.

Create and maintain web resources and sites to make sense for users and organizations.

University Wide Requirements

The IDEA course requirement provides undergraduate students the opportunity to explore concepts in social justice, broadly defined. The IDEA acronym encapsulates the core concepts of Inclusion, Diversity, Equity, and Accessibility.

Computational literacy and learning to code are critical skills of the 21st century. Students are introduced to Python programming language with emphasis on practical applications relevant to everyday lives and common within the information field.

Students are required to take 12 credits in communications skills, including IST 344.

All ADA majors are required to attain minimum competence in mathematics.

Students are required to take three courses in each of the three divisions of the Arts and Sciences-Natural Sciences and Mathematics, Social Sciences, and Humanities.

Students need 120 credits to graduate from Syracuse University.  If after meeting all program and University requirements, the student is still lacking to meet the 120 credits needed for graduation, students can take any undergraduate Syracuse University course to reach the graduation credits total.

Students will be required to complete one international experience to graduate with their iSchool undergraduate degree.

Student Success Stories
Meet Our Alumni

Join a global community of scholars dedicated to advancing our understanding of information, exploring the limits of technology, and examining their impact on society today and in the future.

Through their efforts, they help bridge the gap between technology and its real-world applications, demonstrating the far-reaching impact of their work on communities and organizations worldwide.

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

Mia Perry, recent graduate of the Bachelor of Applied Data Analytics, whose pivot to an iSchool education opened new pathways to success.
Pivoting to an iSchool Education Opened New Pathways to Success for Recent Graduate

By expanding her educational horizon, Mia Perry ’24 changes her entire career trajectory, discovering her passion for data analytics. In her new role as a consultant at CohnReznick, she bridges creativity and technical expertise to deliver impactful solutions.

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.

Christopher Dunham, Assistant Teaching Professor specializing in data science and big data analytics.

Christopher Dunham

Join Professor Christopher Dunham for insights on big data, machine learning, and the future of data science in public health.

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

At the iSchool, we pride ourselves on having a team of exceptional faculty and industry leaders who are shaping the future of information studies. Our experts bring a wealth of experience, innovation, and a passion for advancing technology and society.

With backgrounds spanning diverse fields such as data science, cybersecurity, information management, and more, they are at the forefront of research, teaching, and real-world impact.

Frequently Asked Questions

How long does it take to complete the Bachelor of Applied Data Analytics degree?

The Bachelor of Applied Data Analytics degree typically takes about 4 years to complete, assuming full-time study.

Is a Bachelor’s in data analytics worth it?

 A Bachelor’s in Data Analytics is worth it as it opens up opportunities in a high-demand field with strong job prospects and competitive salaries.

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