4 Years On Campus Bachelors Program
The Bachelor of Science in Data Sciences (Engineering) at Penn State University is an interdisciplinary program that integrates computer science, informatics, and statistics to equip students with the skills needed to manage, analyze, and extract insights from complex data. The program emphasizes data management, machine learning, predictive modeling, and ethical data practices, preparing students to solve real-world problems and work in multidisciplinary teams.
Students can customize their pathway through three distinct specialization options: Applied Data Sciences, Computational Data Sciences, or Statistical Modeling Data Sciences, each providing domain-specific or technical depth.
Course Overview:
Intro to Data Science
Privacy and Security for Data Sciences
Algorithmic Methods and Tools
Machine Learning for Data Analytics
Data Integration
Visual Analytics for Data Sciences
Programming Models for Big Data
Internship
Additional Courses:
Emerging Trends in the Data Sciences
Network Analytics
Artificial Intelligence
Research Project
Information Retrieval and Organization
Information Technology in an International Context
Research Design for Social Data Analytics
Capstone Project: Required for all students, involving real-world, team-based data science projects that address complex problems with actionable insights.
Internships: Required for Applied Data Sciences option; strongly encouraged in other tracks to gain industry-relevant experience.
Application-Focused Courses: Particularly in the Applied option, students take domain-specific courses to apply data science skills to targeted industries (e.g., health, finance, or environmental science).
Research Opportunities: Students can explore emerging data science topics through electives and capstone projects with faculty-led initiatives.
Graduate Careers: Positions in data analytics, machine learning, business intelligence, and data engineering across healthcare, finance, government, technology, and research sectors.
Further Study: Excellent foundation for graduate programs in data science, statistics, computer science, or artificial intelligence.
Professional Development: Graduates develop analytical, computational, and communication skills, with a strong focus on ethics and interdisciplinary collaboration.
Job Outlook: High demand for data scientists and analysts, with opportunities expanding rapidly across sectors.
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