

The Data Science program is a one-year part-time online pathway designed for professionals and graduates seeking advanced expertise in data analysis, machine learning, and big data technologies. Across two semesters, participants explore statistical modeling, programming, data visualization, and predictive analytics while working on real-world projects. The curriculum emphasizes both theoretical foundations and practical applications, enabling students to transform complex datasets into actionable insights and inform strategic decisions. Through online workshops, applied projects, and research assignments, participants develop analytical skills, technical proficiency, problem-solving capability, and data-driven decision-making, preparing them for dynamic roles in data-focused industries.
The program also highlights interdisciplinary collaboration, applied research, and ethical data practices in an online learning environment. Students engage with expert faculty through virtual seminars, complete projects that simulate real-world business challenges, and apply data science techniques to solve complex problems. This flexible, immersive environment strengthens programming, statistical analysis, data visualization, and communication skills. Graduates leave the program equipped to manage large datasets, implement predictive models, guide business strategy, and pursue further study or professional advancement in analytics, technology, and related fields.
Semester 1 - Foundations in Data Science
• Introduction to Data Science and Big Data
• Statistical Methods and Probability
• Programming for Data Analysis (Python/R)
• Data Visualization and Communication
Semester 2 - Applied Analytics and Specialization
• Machine Learning and Predictive Modeling
• Big Data Technologies and Cloud Computing
• Optimization and Decision-Making Models
• Capstone Project / Applied Research
Graduates of this program are prepared for careers where advanced data skills, analytical thinking, and technical expertise are critical. Potential career paths include data scientist, business intelligence analyst, machine learning engineer, big data consultant, and data analyst, where graduates apply programming, statistical, and problem-solving skills to extract insights, optimize business processes, and inform strategic decision-making. The program equips students to develop predictive models, manage complex datasets, implement data-driven solutions, and influence organizational strategies. Graduates are also positioned for leadership roles, consulting opportunities, or doctoral studies in data science, analytics, and technology sectors.
This program offers a comprehensive and applied approach to data analysis, machine learning, big data technologies, predictive modeling, and data-driven decision-making. Participants benefit from online mentorship, virtual workshops, and applied projects that integrate theoretical knowledge with practical business and technology challenges. The curriculum emphasizes analytical reasoning, ethical data practices, and problem-solving, preparing graduates to implement data-driven strategies, develop advanced models, and lead analytics projects. Through applied research, online collaboration, and professional development, students gain the expertise, confidence, and technical competence necessary to excel in high-demand roles in data science and analytics.
For further information, please contact the admissions office at:
Phone: +1 574 631 5000
Email: admissions@nd.edu
Address: University of Notre Dame, Notre Dame, IN 46556, United States