Applied Data Science
Master’s Degree

ONLINE PROGRAM

Earn your master’s degree in data science.

With an online master’s degree in data science, you’ll blend technical skills with the ability to transform data into valuable insights that guide decision-making. Our practical approach focuses on applying data science to business operations and workflows. You’ll develop proficiency in data collection, management, analysis, and presentation. Strengthen your portfolio by working on real-world projects using actual data sets. You’ll graduate equipped to launch your career in one of the fastest-growing industries today.

  • 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 online master’s degree in data science in as little as one year.
Quick Info

Choose from 4 cohort start dates
Next term starts Spring 2025

11 Courses / 34 Total Credit Hours

Complete in as little as one year

No GRE Required

Also available as an on-campus program.

What can I do with a master’s in data science?

At Syracuse University’s iSchool, you’ll gain the analytical, technical and managerial expertise required to stand out in a competitive job market. With these skills, you will make a measurable impact as a data scientist— a top-five Glassdoor job for the last five years in a row. Earn your MS in Applied Data Science online and be the one your organization turns to for data insights.

SAMPLE JOB TITLES
  • Data scientist
  • Analytics manager
  • Data engineer
  • Director of data science
  • Computer systems analyst
  • Quantitative developer
  • Machine learning developer
  • Big data architect
#0
Fastest-growing
field in the US
Bureau of Labor Statistics
Median pay for
data scientists
Bureau of Labor Statistics
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0%
Expected Growth of
data science jobs
Much faster than average, BLS

Courses & Curriculum

Developed in collaboration with the Whitman School of Management, our online MS in Applied Data Science curriculum allows you to explore the impact data science has on businesses, and gives you the opportunity to customize your coursework based on your goals.

View Full Course Catalog

Core Courses – 18 Credits

IST 659 | 3 CREDITS
Definition, development, and management of databases for information systems. Data analysis techniques, data modeling, and schema design. Query languages and search specifications. Overview of file organization for databases. Data administration concepts and skills.

IST 686 | 3 CREDITS
Multiple strategies for inferential reasoning about quantitative data. Methods for connecting data provenance to substantive analytical conclusions.

IST 687 | 3 CREDITS
The course provides students a hands-on introduction to data science, with applied examples of data collection, processing, transformation, management and analysis.

IST 707 | 3 CREDITS
General overview of industry standard machine learning techniques and algorithms. Focus on machine learning model building and optimization, real-world applications, and future directions in the field. Hands-on experience with modern data science packages.

SCM 651 | 3 CREDITS
Definition, development, and management of databases for information systems. Data analysis techniques, data modeling, and schema design. Query languages and search specifications. Overview of file organization for databases. Data administration concepts and skills.

Secondary core – choose 6 credits from one the following tracks

IST 664 | Natural Language Processing | 3 CREDITS
Linguistic and computational aspect of natural language processing technologies. Lectures, readings, and projects in the computational techniques required to perform all levels of linguistic processing of text. Additional work required of graduate students.

IST 691 | Deep Learning in Practice | 3 CREDITS
Introduction to Deep Learning concepts and techniques required to develop Deep Learning based applications. Hands-on experience applying models using open-source frameworks and packages.

IST 718 | Big Data Analytics | 3 CREDITS
A broad introduction to big data analytical and processing tools for information professionals. Students will develop a portfolio of theoretical and practical resources for several real-world case studies.

IST 769 | Advanced Big Data Management | 3 CREDITS
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.

ACC 652 | Accounting Analytics | 3 CREDITS
Accounting analytics including Benford’s Law, current and prior period data, anomaly detection, correlation and time series detection, risk assessment and risk scoring, and purchasing card transaction fraud.

FIN 654 | Financial Analytics | 3 CREDITS
An introduction to methods and tools useful in decision-making in the financial industry, including: macroeconomic event studies, analysis of term structures, Morningstar equity data, style analysis, credit card receivables, trading analytics, execution algorithms, etc.

MAR 653 | Marketing Analytics | 3 CREDITS
The course will focus on three aspects of analytical marketing: survey research, managing and synthesizing data from multiple sources, and data analysis and decision making, including regression analysis, choice modeling and classification, principal component analysis, and both cluster and conjoint analysis. Additional work for graduate students.

MBC 638 | Accounting Analytics | 3 CREDITS
Concepts, principles and methods to support scientific approach to managerial problem solving and process improvement. Basic statistical techniques, their appropriateness to situations and assumptions underlying their use.

SCM 703 | Principles of Management Science | 3 CREDITS
Concepts and development of analytical model building as used in global supply chain decision.

IST 652 | Scripting for Data Analysis | 3 CREDITS
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.

IST 722 | Data Warehousing | 3 CREDITS
Introduction to concepts of business intelligence (BI) and the practice/techniques in building a BI solution. Focuses are on how to use data warehouses as a BI solution to make better organizational decisions.

IST 769 | Advanced Big Data Management | 3 CREDITS
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.

IST 644 | Natural Language Processing | 3 CREDITS
Linguistic and computational aspect of natural language processing technologies. Lectures, readings, and projects in the computational techniques required to perform all levels of linguistic processing of text. Additional work required of graduate students.

IST 736 | Text Mining | 3 CREDITS
Introduces concepts and methods for knowledge discovery from large amount of text data, and the application of text mining techniques for business intelligence, digital humanities, and social behavior analysis.

IST 644 | Managing Data Science Projects | 3 CREDITS
Increase the agility of a data science project by improving the process a team uses to execute their project. Explore data science life cycles (e.g., CRISP-DM, TDSP) and collaboration frameworks (e.g., Kanban, Scrum).

IST 692 | Responsible AI | 3 CREDITS
This course will provide students the critical skills necessary to discuss and evaluate more just and equitable AI models, as well as leverage Python or R packages to build such models.

IST 719 | Information Visualization | 3 CREDITS
A broad introduction to data visualization for information professionals. Students will develop a portfolio of resources, demonstrations, recipes, and examples of various data visualization techniques.

IST 737 | Visual Analytic Dashboards | 3 CREDITS
Analytic dashboards find valuable insights from large scale data. Students will gain knowledge of human visual reasoning, and obtain technical skills necessary to design, develop and implement analytic dashboards for business, government, or personal data.

Electives – 12 credits

Exit requirement

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.

Get Started.

Apply now by submitting your resume, transcripts, two letters of recommendation and a personal statement about why you want to pursue your Master of Applied Data Science at Syracuse University. No GRE scores are required to apply.

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Expand Your Network.

Connect with leaders in the data science field, forge friendships and connections with peers in your industry, and gain a lifelong network. With our online learning platform, you’ll attend live classes, connect with classmates on project-based coursework and have one-on-one sessions with your professors—keeping you connected to the iSchool community.

Meet Our Community

Grow Your Career.

Whether you are just starting your career in data science or want to become a machine learning engineer, our curriculum can help you achieve your career goals. You’ll also have access to our Virtual Career Center and personalized career coaching.

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data scientist at his computer

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