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School of Health Sciences

Data Analytics

Data Analytics

The Data Analytics major at Lasell has a professional focus, rooted in Connected Learning, that prepares students to understand data and create actionable insights. Organizations have the increasing need for skilled analysts who can collect, analyze, and produce actionable insights for their teams to generate more revenue, increase customer base, and develop products.

Tableau SAS Visual Analytics

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Connected Learning played a part in my decision to come to Lasell, I wanted to get an education as well as preparation for the real world.

Hannah Lindberg

Marketing, 2018

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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

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