Skip top navigation

School of Health Sciences

Cybersecurity

Cybersecurity

The Cybersecurity major at Lasell has a professional focus, rooted in Connected Learning, that prepares students to help safeguard organizations on the Internet. One of the biggest challenges that organizations face is securing their sites and apps, and safeguarding personal information. Breaches like the ones at Target, Home Depot, and Equifax in the recent times have only re-confirmed this challenge.

Request more information about the Cybersecurity Major:

 

I was very drawn to the fact that Lasell is a quaint, community-based school that focuses on Connected Learning with small class sizes and engaged instructors.

Micayla Carroll

Entrepreneurship, 2019

Read more about Micayla
Student profile picture

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

his 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.Prerequisite: Senior Standing & internship

DSCI499 - Internship Data Science

Internship Data Science

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.

MATH215X - Discrete Math

Topics will include logic, proofs, algorithms, counting, recurrence relations, graph theory, trees, networks, Boolean algebra, and automata. Prerequisite: C or better in MATH205

MATH305X - 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