PROGRAM TYPE
Online and On Campus

DEGREES
BS

Contact

Elzbieta Manos

Chair, School of Business and Associate Professor of Business

Business Administration

(508) 849-3437

emanos@annamaria.edu

Academic Agreements

Accelerated Degree Program

Data Analytics | BS

Program Overview

Bachelor of Science in Data Science/Analytics (online and on ground)

The major in Data Science/Analytics (BSDS) is a four-year learning experience leading to a Bachelor of Science in Data Science/Analytics. This major is designed to prepare students with the information and skills needed to excel in the rapidly expanding field of data analytics and to enter the data analytics field upon graduation.

Through a combination of theoretical coursework and firsthand practical experience, students will develop proficiency in collecting, organizing, analyzing, and visualizing large datasets. They will learn various statistical and computational techniques to uncover patterns, trends, and insights that can drive data-informed decision-making in various industries and sectors.

The curriculum also emphasizes the ethical and legal considerations associated with data analytics, including privacy, security, and data governance. Students will learn to apply ethical principles and best practices in their data analytics projects and adhere to relevant legal and regulatory frameworks. Anna Maria College students will be encouraged and mentored to seek out internships to gain further practical experience.

The skills gained will be useful to help organizations effectively leverage data and make strategic decisions. This major has an interdisciplinary focus on principles from computer science, statistics, mathematics, as well as business to provide a comprehensive education in data analysis and the interpretation of data. Thus, this program offers students the opportunity to pursue a wide range of careers in business, education, finance, and healthcare.

Anna Maria College students currently enrolled in other existing majors such as sports management, business, health and human services, health administration, health science, criminal justice, and those within the liberal studies, social science, and psychology majors, might look to the minor in data analytics to enhance their competitive edge in the job market.

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The coursework in a BS in Data Analytics program typically covers a wide range of topics, including:

Statistics and Probability
Data Mining and Machine Learning
Database Management
Data Visualization
Business Intelligence and Analytics
Ethical and Legal Aspects

Related Programs

Curriculum Highlights

Course of Study

Meet Our Faculty

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Curriculum Highlights

CSC 1 – Internet History, Technology, and Security

Required

To thrive in today’s digital world, you need to understand the system that powers it. This course, built in collaboration with Google, will explore the internet and show you how it works.

3 credits

CSC II – Programming for Everyone I

Required

This course, built in collaboration with Google, provides a gentle, but thorough, introduction to programming using Python.

3 credits

CSC III – Programming for Everyone II

Required

This course, built in collaboration with Google, follows on from Programming for Everyone I. In the first half of the course, you will learn how to leverage your Python skills to treat the internet as a source of data.

3 credits

CSM 1II – Programming for Everyone II

Required

This course, built in collaboration with Google, will teach you how to understand and use data structures.

3 credits

CSM IV – Algorithms

Required

This course explores algorithms from a coding-focused perspective, using Python. Students will learn about the issues that arise in the design of algorithms for solving computational problems and will explore a number of standard algorithm design paradigms and their applicability.

3 credits

DAM – Foundations of Data Analytics I

Required

In an increasingly data-driven world, everyone should be able to understand the numbers that govern our lives.

3 credits

DAM II – Foundations of Data Analytics II

Required

This course is intended as a continuation of Foundations of Data Analytics I. In this course, you’ll learn how Data Analytics is applied within the workforce.

3 credits

DAM III – Principles and Techniques of Data Analytics I

Required

This course is based heavily on UC Berkeley’s Data 100 class. Data Analytics combines data, computation and inferential thinking to solve challenging problems and understand their intricacies.

3 credits

DAM IV – Principles and Techniques of Data Analytics I

Required

This course builds on Principles and Techniques of Data Analytics I to provide students with a more robust understanding of the tools of a Data Scientist.

3 credits

DAM V – Data Analytics Practicum

Required

This course is a capstone project in which students are asked to work through a full data science workflow on a set of real data drawn from sports, politics, business or public health.

3 credits

Download Full Curriculum Map

Course Of Study

Career Opportunity

CAREER

Operations Research Analyst
Data Scientist
IT/Computer Programmer
Data collection/Data mining
Predictive analytics
Customer loyalty and selection programs
Marketing strategy development
Fraud detection
Applied statistics
Quality assurance
Supply chain management

Program Learning Outcomes

Collect, clean/process, and transform data
Analyze and interpret it in a way that is morally responsible
Apply the right models of analysis, evaluate the quality of the input, draw conclusions from the findings, and look into any potential problems.
Use the ideas of optimization, mathematical and statistical models, programming languages, and computing theory to properly create and use data analysis.
Create and apply relevant models for data analysis to find hidden solutions to problems in the corporate world.
Work well in a team – Effectively communicate data findings to any audience in written, oral, and graphic forms