Master of Science in Applied Data Science

2 Years On Campus Masters Program

University of Southern California

Program Overview

The Master of Science in Applied Data Science at the University of Southern California (USC), offered through the Viterbi School of Engineering, prepares students to transform complex data into meaningful insights and practical solutions for real-world challenges. Designed for students from computer science, engineering, mathematics, economics, and other quantitative backgrounds, the program combines programming, database management, big data infrastructure, machine learning, and data mining to develop professional data scientists.

Curriculum Structure:

The program requires 32 units of coursework, consisting of three core courses (12 units) and five elective courses (20 units). Students develop practical expertise through programming assignments, hands-on projects, and specialized electives, with opportunities to explore different applications of data science.

First Year: Students establish their foundations through Foundations of Data Management (DSCI 551), Machine Learning for Data Science (DSCI 552), and Foundations and Applications of Data Mining (DSCI 553). These courses develop skills in database systems, predictive modelling, machine learning algorithms, data exploration, and large-scale data analysis.
Second Year: Students strengthen their expertise through advanced electives such as Data Science at Scale (DSCI 550), Foundations of Artificial Intelligence (CSCI 561), Machine Learning (CSCI 567), and Database Systems (CSCI 585). Students can also explore Information Retrieval and Web Search Engines (CSCI 572) and Applied Natural Language Processing (CSCI 544), applying their knowledge to complex data-driven problems and industry-related projects.

Focus Areas:

Applied data science, machine learning, artificial intelligence, data mining, database management, big data analytics, Python programming, data visualization, statistical analysis, data engineering, natural language processing, information retrieval, computational thinking, predictive analytics, scalable data systems.

Learning Outcomes:

Develop advanced data science programming skills using Python, manage and analyze structured and unstructured datasets, apply machine learning and data mining techniques, work with large-scale data infrastructure, design database solutions, interpret complex data patterns, create meaningful visualizations, and apply analytical techniques to solve real-world organizational and industry challenges.

Professional Alignment (Accreditation):

The program is offered through USC's Viterbi School of Engineering and provides an interdisciplinary curriculum combining computer science, engineering, and applied analytics. Students gain practical experience through hands-on coursework, collaborative projects, and a specialized professional practicum. The program is STEM-designated, making eligible international graduates able to apply for the STEM OPT extension. No separate professional accreditation is identified on the official program page.

Reputation (Employability Rankings):

USC Viterbi reports strong career outcomes for its Applied Data Science graduates, with employers including Amazon, Meta, Google, Apple, Microsoft, Deloitte, NVIDIA, and Walmart. According to the university's 2025 First Destinations Survey, graduates reported an average salary of $108,961, with career opportunities across technology, finance, healthcare, entertainment, consulting, and research. Graduates can pursue roles such as data scientist, machine learning engineer, data engineer, business intelligence analyst, data analyst, and AI engineer.

Experiential Learning (Research, Projects, Internships etc.)

At the University of Southern California, the Master of Science in Applied Data Science program is designed to provide students with hands-on experience that translates theoretical knowledge into practical skills. 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 the educational experience.

Here are some key aspects of the experiential learning opportunities available in the program:

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

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

- Internship Opportunities: The program encourages internships with leading tech companies and organizations, providing students with invaluable industry experience and networking opportunities.

- Field Trips: Students have the chance to visit local tech companies and data-driven organizations, gaining insights into industry practices and trends.

- Research Institutes: Collaboration with USC’s research institutes, such as the USC Information Sciences Institute, allows students to engage in cutting-edge research and development projects.

- Access to Libraries: Students benefit from USC’s extensive library resources, including databases and journals focused on data science and analytics.

- Workshops and Seminars: Regular workshops and guest lectures from industry experts provide additional learning opportunities and exposure to current data science practices.

Progression & Future Opportunities

The Master of Science in Applied Data Science at the University of Southern California (USC) equips graduates with the skills and knowledge to excel in a rapidly evolving field. With a strong emphasis on practical applications, graduates often find themselves in high-demand roles such as Data Scientist, Data Analyst, Machine Learning Engineer, and Business Intelligence Analyst. This program not only prepares you for immediate employment but also sets the stage for a successful career in data-driven industries.

Here’s how USC supports your journey toward a successful career in data science:

- Career Services: USC offers dedicated career services, including resume workshops, interview preparation, and networking events tailored specifically for data science students.
- Employment Statistics: Graduates from the program have reported a high employment rate, with many securing positions within six months of graduation. The average starting salary for data science roles in the Los Angeles area is around $100,000, reflecting the strong demand for skilled professionals.
- University–Industry Partnerships: USC has established partnerships with leading tech companies and organizations, providing students with internship opportunities and real-world projects that enhance their learning experience.
- Accreditation Value: The program is accredited by the WASC Senior College and University Commission, ensuring that your degree holds long-term value in the job market.
- Graduation Outcomes: Alumni have gone on to work at prestigious companies such as Google, Amazon, and Deloitte, showcasing the program's effectiveness in preparing students for successful careers.

Further Academic Progression: After completing the Master of Science in Applied Data Science, you may choose to pursue a Ph.D. in Data Science or a related field, allowing you to delve deeper into research and contribute to advancements in the discipline. Alternatively, you could explore specialized certifications in areas like machine learning or artificial intelligence to further enhance your expertise and career prospects.