BS Data Sciences (Engineering)

4 Years On Campus Bachelors Program

Pennsylvania State University University Park

Program Overview

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

Experiential Learning (Research, Projects, Internships etc.)

  • 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.

Progression & Future Opportunities

  • 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.

Program Key Stats

$50630
$ 75
Rolling


56 %
No
Yes

Eligibility Criteria

AAA - A*AA
3.65 - 3.94
33 - 35
90 - 95

1320 - 1480
29 - 33
6.5
80

Additional Information & Requirements

Career Options

  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer
  • Data Engineer
  • Business Intelligence Analyst
  • Research Data Scientist
  • Data Consultant

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