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School of Health Sciences

Cybersecurity

Cybersecurity

Cybersecurity

The Cybersecurity major at Lasell has a professional focus, rooted in career readiness that prepares students to help safeguard organizations on the Internet. The Cybersecurity major balances project-based Core Technology and Cybersecurity courses to allow students to understand areas such as national security policy, cyber investigation, and vulnerability testing.

Students will complete a minimum of one industry-relevant internship and will come out of the program ready to work in industries including health care, finance, engineering and retail, who all hire cyber security professionals to protect valuable information from cyber breaches.


Program Features

The program features many extracurricular opportunities to give students leadership/team experience and portfolio material. These experiences include:

  • All courses are designed to hone foundational skills in technology, critical thinking, analysis, ethics, and oral and written communications.
  • Through a multidisciplinary approach, students majoring in Cybersecurity gain the expertise, commitment, and skills for management positions in this expanding industry.
  • CompTIA certifications A degree from Lasell University in Cybersecurity allows students to earn CompTIA certifications: CompTIA IT Fundamentals, CompTIA A+, CSA+, and CompTIA Network+

What You'll Learn

From your first day, you’ll take courses in your major and advance towards graduation with a yearly plan. Not sure what classes to take? We’ll help you create the perfect plan. 

For a complete list of courses and learning outcomes, view the Academic Catalog >>


Accelerated Master's Program

Save time and money — earn your graduate degree in just 1 year with the Accelerated Master's program. Learn more and how to apply >>

Career Success in the Cybersecurity Industry

Cybersecurity majors learn a broad range of transferable skills and gain strong competence in critical thinking and hands-on experience. There is a wide variety of Connected Learning opportunities for Cybersecurity students.

Our students have interned with:

  • qBotica
  • MIT Lincoln Labs

Our alumni work for:

  • Cyber Security Analyst
  • Network Administrator
  • Systems Administrator
  • IT Auditor
  • Vulnerability Analyst

 

 

Request more information about the Cybersecurity Degree:

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DSCI102 - Introduction to Computer Science

This introduction to computer science, emphasizes problem solving and data analysis skills along with computer programming skills. Using Python, students learn design, implementation, testing, and analysis of algorithms and programs. And within the context of programming, they will learn to formulate problems, think creatively about solutions, and express those solutions clearly and accurately. Problems will be chosen from real-world examples such as graphics, image processing, cryptography, data analysis, astronomy, video games, and environmental simulation. Students get instruction from a world-class computer science professor, delivered remotely through video and interactive media and attend class for collaborative team projects to solve real-life problems. Prior programming experience is not a requirement for this course. Formerly: INTC102

DSCI103 - Fundamentals of Information Technology

This course provides students with the fundamental skills and concepts required to maintain, support, and work efficiently with personal computers. It will assist students in preparing for the Digital Transformation. The course is organized around the five important uses of technology in business – IT concepts, Infrastructure, Applications and Software Development, Database fundamentals, and Security and Cloud Computing

DSCI409 - Project & Program Management

This course allows students to develop the competencies and skills for planning and controlling projects and understanding interpersonal issues that drive successful project outcomes. Focusing on the introduction of new products and processes, students will examine the project management life cycle, define project parameters, matrix management challenges, effective project management tools and techniques, and take on the role of a project manager. This course is designed to guide students through the fundamental project management tools and behavioral skills necessary to successfully launch, lead, and realize benefits from projects in both for-profit and non-profit organizations. Prerequisites: Senior Standing and internship.

DSCI499 - Internship Data Science

This is a hand-on experience in a data science work or research setting that offers students an opportunity to apply concepts, theories, and practices learned in the classroom in a supervised setting. Students must successfully complete a minimum of 150 hours of field experience in addition to course assignments. Prerequisite: Permission of Program Chair. Requirement for Cybersecurity and Data Analytics Majors

MATH208 - Statistics

This is an introductory course in descriptive and inferential statistics. Topics include: data analysis, and graphical methods of describing data, measures of central tendency and variability, probability, the normal distribution, sampling distributions, confidence intervals, hypothesis testing, correlation, and regression analysis. Prerequisites: MATH 106 with a grade of C or better or demonstrated competency through placement testing and ENG 102.

MATH215 - Discrete Math

Topics will include elementary logic and set theory, equivalence relations, functions, counting arguments, inductively defined sets, recursion, graphs and trees, Boolean algebra and combinatorial circuits, and countability arguments. Prerequisite: MATH203 with a C or better.

MATH305 - Advanced Statistics

Quantitative statistical tools for modern data analysis are used across a range of disciplines and industries to guide organizational, societal and scientific advances. Using data sets from across a variety of fields, the focus will be on applications and analysis. Topics include two sample confidence intervals, Chi Square tests, multiple regression analysis, ANOVA, non- parametric tests, sampling, and simulation. Prerequisite: Math 208 or Math 209