Masters in Applied Data Science

2 Years On Campus Masters Program

Syracuse University

Program Overview

The Master of Science in Applied Data Science at Syracuse University's School of Information Studies (iSchool) is a 31-credit graduate program designed to prepare students for careers in data science, analytics, and technology-driven decision-making. The program combines information science, statistical analysis, machine learning, and management principles, giving students practical experience with real-world datasets and the ability to transform complex information into actionable insights.

Curriculum Structure:

First Year: Students build a strong foundation through core courses such as Data Administration Concepts and Database Management (IST 659), Quantitative Reasoning for Data Science (IST 686), and Introduction to Applied Data Science (IST 687). They also study Machine Learning (IST 707), developing practical skills in SQL, R, Python, statistical inference, data preparation, predictive modeling, and machine learning applications.

Advanced and Specialization Stage: Students customize their studies through concentration courses in areas such as Artificial Intelligence, Big Data, Data and Business Analytics, Data Pipelines and Platforms, Language Analytics, Project Management, and Visual Analytics. Relevant courses include Natural Language Processing (IST 664), Deep Learning in Practice (IST 691), Big Data Analytics (IST 718), Data Visualization (IST 719), and Advanced Big Data Management (IST 769), helping students develop specialized technical and analytical capabilities.

Final Project and Portfolio Stage: Students complete advanced electives and a required one-credit exit course in their final semester, submitting a personal portfolio of projects that demonstrates their program learning outcomes. Through hands-on assignments, practical datasets, and project-based learning, students develop the ability to communicate findings and present data-driven solutions to professional audiences.

Focus Areas: Applied data science, artificial intelligence, machine learning, deep learning, big data analytics, database management, data engineering, business analytics, natural language processing, language analytics, data visualization, statistical analysis, predictive modeling, responsible AI, and data project management.

Learning Outcomes: Collect, manage, and analyze complex datasets, apply statistical and machine learning methods, develop predictive models using Python and R, manage databases using SQL, work with large-scale data systems, create effective data visualizations, communicate analytical findings to diverse audiences, identify business challenges through data-driven approaches, and apply ethical principles when developing data science solutions.

Professional Alignment (Accreditation): Syracuse University is institutionally accredited by the Middle States Commission on Higher Education (MSCHE). The Applied Data Science program is STEM-designated, making eligible international students potentially eligible for up to 36 months of Optional Practical Training (OPT), subject to applicable immigration requirements. Its curriculum emphasizes industry-relevant technical skills, practical projects, and professional competencies in data analysis, machine learning, and information management.

Reputation (Employability Rankings): Syracuse University's iSchool reports a 96% placement rate for its Applied Data Science master's graduates in 2025, with an average salary of $91,192 for the same year. The program also provides career support, internship opportunities, research experiences, networking events, and industry-focused project work. Graduates can pursue careers as Data Scientists, Data Analysts, Machine Learning Engineers, Business Intelligence Analysts, Data Engineers, Artificial Intelligence Specialists, Data Consultants, Quantitative Analysts, and Research Scientists.

Experiential Learning (Research, Projects, Internships etc.)

At Syracuse University, the Master’s in Applied Data Science program is designed to provide students with hands-on experience that translates theory into practice. Students engage in real-world projects, collaborate with peers, and utilize cutting-edge technology to solve complex data challenges. The program emphasizes experiential learning through various facilities and tools that enhance your educational journey.

Here’s what you can expect in terms of experiential learning opportunities:

- Data Science Labs: Access to specialized labs equipped with advanced computing resources and software tools like Python, R, and SQL, allowing you to work on data analysis and machine learning projects.

- Collaborative Projects: Engage in group projects that simulate real-world data science scenarios, fostering teamwork and communication skills essential for the industry.

- Internship Opportunities: The program encourages internships with local and national companies, providing invaluable experience and networking opportunities in the field of data science.

- Field Trips: Participate in field trips to tech companies and data-driven organizations, giving you insights into industry practices and trends.

- Research Facilities: Utilize state-of-the-art research facilities and libraries, including the Bird Library and the iSchool’s dedicated spaces for data science research.

- Workshops and Seminars: Attend workshops and seminars led by industry professionals, enhancing your learning with current trends and best practices in data science.

- Access to Digital Tools: Gain proficiency in industry-standard tools and platforms, including Tableau for data visualization and Hadoop for big data processing.

Progression & Future Opportunities

Pursuing a Master's in Applied Data Science at Syracuse University opens the door to a wealth of career opportunities in a rapidly growing field. Graduates often find themselves in roles such as Data Scientist, Data Analyst, Business Intelligence Analyst, and Machine Learning Engineer. With the increasing demand for data-driven decision-making across industries, the skills you acquire will position you for success:

- University Services: Syracuse offers dedicated career services, including resume workshops, interview preparation, and networking events with industry professionals to help you secure internships and job placements.
- Employment Stats and Salary Figures: According to recent data, over 90% of graduates from the School of Information Studies find employment within six months of graduation, with starting salaries averaging around $85,000.
- University–Industry Partnerships: Syracuse has established partnerships with leading companies such as Deloitte, IBM, and Lockheed Martin, providing students with real-world projects and internship opportunities that enhance their learning experience.
- Long-term Accreditation Value: The program is accredited by the Middle States Commission on Higher Education, ensuring that your degree holds value and recognition in the job market.
- Graduation Outcomes: Alumni have gone on to work at top-tier organizations, contributing to innovative projects and advancing their careers in data science and analytics.

Further Academic Progression: After completing your Master's in Applied Data Science, you may choose to further your studies by pursuing a Ph.D. in Data Science or a related field. This could lead to opportunities in academia, research, or specialized roles in advanced analytics and artificial intelligence. Additionally, you might consider obtaining professional certifications in data science or machine learning to enhance your expertise and marketability in the field.