Computer Science/Computer Information Science: 5-Year (B.S./M.S.)

  • Accelerated Bachelor's/Master's
  • 5-year, On Campus

What you’ll learn

La Salle’s B.S. in Computer Science to M.S. in Computer Information Science program offers and accelerated 5-year path to earn degrees in fast-growing fields. The bachelor’s program is a traditional computer science curriculum with a heavy focus on theory and mathematics. The master’s in CIS program emphasizes teamwork, presentation skills, and collaboration through technology. Students complete the Full Stack Engineering Certificate, either the IT and Cybersecurity or Data Science certificate, and a capstone project. Examples include development and implementation of software and research on emerging trends in software application development.

Why Study Computer Science/Computer Information Science at La Salle?

La Salle’s B.S. in Computer Science to M.S. in Computer Information Science program offers an accelerated pathway for students to earn both degrees in five years, preparing them for successful careers in a rapidly growing field.

Curriculum, Courses and Requirements

Highlighted Courses

CIS 612 – Ethics, Issues, and Government Regulations

This course considers privacy both on and off-line; legal background of intellectual property and e-mail; ethics and codes of ethics; the impact of computers on work and society; and responsibilities and risks of computing, including topics such as accuracy of information, e-waste, and multitasking. This course includes an examination of government policies and regulations related to data security and information assurance.

CIS 617 – Software Project Development

This course focuses on the implementation of a software project. Students will use collaborative software development methods to complete the implementation of a model that was constructed in a previous course or build a system that implements component services from an existing model.

CIS 658 – Data Mining

This course introduces the field of data mining, with specific emphasis on its use for Machine Learning algorithms. Techniques covered may include conceptual clustering, learning decision rules and decision trees, case-based reasoning, Bayesian analysis, genetic algorithms, and neural networks. The course covers data preparation and analysis of results.

Meet the Faculty

Our faculty are experts in their field, prioritizing the success of students and providing a groundwork you to pursue your career of interest.

Career Opportunities

  • Career options and salary expectations are rising fast for CIS majors.
  • The employment outlook for CIS managers is expected to grow 10% through 2029, faster than the average for all occupations (U.S. Dept. of Labor)
  • La Salle graduates are prepared for careers in:
    • Project management
    • Problem analysis
    • Solution, design, implementation, testing and review
Bernadette “Bern” Shields, MBA ’24, '24

Bernadette “Bern” Shields, MBA ’24, was equipped with the tools from La Salle’s School of Business to move onto a role at PwC.

Litia Gans, ‘20, MSN ‘24, and Jaida Davenport-Gans, ’24

Litia Gans, ‘20, MSN ‘24, and Jaida Davenport-Gans, ’24, supporting each other through their MSN and BSN programs, respectively.

Douglas Rodriguez, ’24

Douglas Rodriguez, ’24, wants to empower his future students to be successful.