B.S. Analytics-Business Analytics Focus
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100% online
Next Start Date
Apr 1, 2024
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Leverage data in decision-making with a business analytics degree

When it comes to business decisions, intuition is helpful, but data is evidence. For organizations that want to increase profitability, improve services or extend product lines, business data provides a roadmap. Interpreting the data and translating it to actionable insights usually falls to business analytics professionals who bridge the gap between technical teams and business stakeholders. Franklin’s online B.S. in Analytics with a focus in Business Analytics helps you build business acumen and data analysis skills that will empower you to effectively use data to inform business decisions.

Program Availability

On Site

In-Demand Skills

Achieve proficiency with SQL, Python, R and Tableau.

100% Online Classes

Earn your degree around your schedule.

Real-World Practitioners

Learn from experienced analytics professionals.


B.S. Analytics-Business Analytics Focus Overview

Acquire broad knowledge in fundamentals including industry-standard tools

Ten major area courses, which are common to all three of the B.S. Business Analytics focus areas, help you build broad knowledge in fundamentals including: statistics, mathematics for analytics, ethics, communication, databases, programming, cybersecurity, analytics modeling, data visualization and machine learning. Hands-on assignments provide opportunities to gain skills in SQL, Python, R and Tableau, as well as other tools. 

Regardless of which focus area you choose, as student in the program, you’ll learn to apply analytics methods and tools in problem-solving, use specialized business knowledge and data for decision-making, illustrate and present insights to a broad audience, analyze potential biases and ethical implications in various contexts, and implement best practices in management to optimize performance or protect sensitive data. 

Complement major area analytics courses with six focus area courses in business analytics and tailor your B.S. in Analytics to your career interests. You’ll further develop problem-solving skills, enhance presentation and communication skills and prepare for roles that require integrated business knowledge in order to optimize data-driven decisions. 

Use integrated data-driven insights to impact business strategy and operations

Courses in financial and managerial accounting, business law, microeconomics, finance, management and marketing provide a solid understanding of each business discipline. By combining your knowledge of business functions with analytics, you’ll be equipped to translate complex data findings into actionable business solutions. Your knowledge and skills will make you a perfect fit for a multitude of roles that require analytical thinking, clear communication skills and enthusiasm for using data to optimize specific areas of the business.

Build an in-demand skillset and become an asset in any business setting

As a student in the B.S. Analytics with a focus in Business Analytics, you’ll gain a unique set of beneficial career skills. Because the major is designed with a strong emphasis in application, you’ll gain hands on-skills with industry standard data analysis and visualization tools while you build your problem-solving abilities to solve real-world business problems. You’ll gain the ability to integrate knowledge from several business disciplines, which will enable you to make data-based decisions to optimize finance, marketing, accounting or management. To pave the way for collaborative work relationships you’ll build your communication and presentation skills. By building your capability to make complex data clear and understandable, you’ll be an essential player on any project team.

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Future Start Dates

Start dates for individual programs may vary and are subject to change. Please request free information & speak with an admission advisor for the latest program start dates.

Spring 2024
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Students must complete a minimum of 30 credit hours at Franklin University to be eligible for a degree.


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B.S. Analytics-Business Analytics Focus Courses & Curriculum

120 Semester Hours
Fundamental General Education
English Composition
ENG 120 - College Writing (4)

In this course, students acquire the writing competencies necessary for completing analytical and argumentative papers supported by secondary research. A variety of assignments, beginning with personal reflections, build upon one another, as students develop ideas that respond to, critique, and synthesize the positions of others. Students systematize and organize knowledge in ways that will help them in all their courses. The course also emphasizes the elements of critical reading, effective writing style, appropriate grammar and mechanics, clarity of language, and logical and cohesive development. It culminates in submission of an extended, documented research paper.

MATH 160 - College Algebra (4)

This course is designed to prepare students for Applied Calculus and Discrete Mathematics and to provide the mathematical background needed for the analytic reasoning used in other courses. Topics include functions and their graphs, including exponential and logarithmic functions; complex numbers; systems of equations and inequalities; matrices; basic principles of counting and probability; and other selected topics. Note, this course has proctored exam(s).

Choose MATH 150 Fundamental Algebra as the prerequisite. Course can count as a University elective.

Social and Behavioral Sciences

6 credits from the following types of courses:
Choose from Anthropology, Economics, Geography, History, Political Science, Psychology, and Sociology. Must select at least two different disciplines to meet requirements.


6 credits from the following types of courses:
Two courses from the Science discipline. One course must have a lab component.

Arts & Humanities
HUMN 211 - Introduction to Critical Ethics (2)

Critical Ethics uses critical thinking to get around the limitations of personal belief and indoctrination to get to what ought to be done and why to improve the human condition. Accordingly, the goal of this course is to help the student improve his/her ethical analysis and evaluation skills to help the student do the thing that must be done, when it ought to be done, using critical thinking.

4 credits from the following types of courses:
Choose from the Art, English Literature, Fine Arts, Humanities, Music, Philosophy, Religion or Theater disciplines.

Additional General Education
PF 121 - Basic Learning Strategies (2)

This course prepares students to be successful lifelong learners both academically and in their chosen careers. Franklin courses require a high level of self-directed learning and focus on the skills required in the workplace and the classroom that are easily transferrable between the two environments. The course includes strategies for time management, goal setting, reading comprehension, and advancing communication skills, including the use of electronic tools to participate in virtual environments.

OR PF 321 - Learning Strategies (2)

This course prepares students to be successful lifelong learners both academically and in their chosen careers. Franklin courses require a high level of self-directed learning and focus on the skills required in the workplace and the classroom that are easily transferable between the two environments. The course includes strategies for advancing communication skills, including the use of electronic tools to participate in virtual environments. The assignments and activities in the course are created to closely simulate teamwork found in the workplace.

COMM 150 - Interpersonal Communication (4)

By using applied critical and creative thinking, students in this course will develop a set of communication skills that will enhance their personal and professional relationships and endeavors. This course will focus on skill development in key areas such as self, perception, listening, verbal messages, conversations, relationships, conflict management, persuasion, and presentation skills.

OR SPCH 100 - Speech Communication (4)

This basic public-speaking course intends to improve the student's ability to think critically and to communicate orally. Theory and practice are provided in various speaking situations. Each student is required to speak before an audience, but class work also involves reading, gathering and organizing information, writing, and listening.

ENG 220 - Research Writing: Exploring Professional Identities (4)

This is an intermediate course focusing on the composition of research papers. Students in this course prepare to be active participants in professional discourse communities by examining and practicing the writing conventions associated with their own fields of study and work. By calling attention to the conventions of disciplinary writing, the course also prepares students for upper-division college writing and the special conventions of advanced academic discourse. Course activities include three extended research papers, semi-formal writing addressing interdisciplinary communication, and readings fostering critical engagement with disciplinary conversations.

PF 106 - Introduction to Spreadsheets (1)

This course focuses on using spreadsheets to solve business problems.

MATH 215 - Statistical Concepts (4)

This course introduces you to statistics with applications to various areas. The course covers both descriptive and inferential statistics. Topics included are: sampling techniques, data types, experiments; measures of central tendency, measures of dispersion, graphical displays of data, basic probability concepts, binomial and normal probability distributions, sampling distributions and Central Limit Theorem; confidence intervals, hypothesis tests of a mean, or a proportion for one or two populations, and linear regression.

BUSA 200 - Database Fundamentals (2)

This introductory course focuses on applying information technology to business strategies using databases. The student will gain a working knowledge of current database technology, including relational database concepts, database design, data extraction, and data warehousing while working with database applications.

Major Area Required
BUSA 250 - SQL for Business (2)

This course introduces data analytics using Structured Query Language (SQL). Students will learn how to apply SQL in data exploration analysis and business problem-solving.

COMP 101 - Problem Solving With Computing (2)

Many organizations today utilize computers and information systems to store, organize, analyze, and summarize data to solve problems. As a result, computing is a tool that can benefit students in many different fields. At the heart of solving problems with computers is the study of structured thinking using algorithms. This course is designed for students with no prior programming experience and teaches the building blocks of algorithms, including variables, expressions, selection and repetition structures, functions and parameters, and array processing.

ISEC 250 - Cybersecurity for the Professions (4)

This course is a breadth-based cybersecurity course for non-technical majors. It aims to equip a bachelor's degree seeker with no prior cybersecurity knowledge, other than what the newspaper reports say, with essential cybersecurity knowledge. The course introduces organizational, people, and technological aspects of cybersecurity. More specifically, it covers (1) governance, standards, and risk management topics in the organizational domain, (2) security awareness, privacy, ethics, and cyber threats in the people domain, and (3) cyberspace, critical sectors, and emerging topics in the technological domain.

DATA 300 - Introduction to Analytics (4)

This course introduces the fundamentals of Business and Data Analytics. Students will learn business problem framing, data wrangling, descriptive and inferential statistics, data visualization, and data storytelling in analytics.

DATA 310 - Data Visualization (4)

This course introduces data visualization fundamentals using the leading visualization tools in the industry and focuses on project-based learning. Students will learn how to develop dashboards and discover insight effectively based on data.

BUSA 350 - Principles of Analytics Modeling (4)

This course introduces the principles of analytics modeling. Students will learn exploratory data analytics, regression, classification, clustering, model interpretation, and model evaluation.

DATA 400 - Principles of Machine Learning (4)

Students will learn the basic concepts behind major machine learning algorithms, the essential steps for creating a typical machine learning model, the strengths and weaknesses of different algorithms, and the model evaluation using different performance metrics. Eventually students will be able to build a prediction model by machine learning algorithm using Python language. The differences between Java and Python will be reviewed. The common problems in practical machine learning exercises and their solutions also will be discussed.

DATA 450 - Advanced Topics in Analytics (4)

This course covers advanced analytics topics, including big-data analytics using popular platforms, model interpretation strategies, simulations, optimizations, and analytics reporting and presentation methods. A discussion of ethical considerations for model evaluation is also included.

DATA 495 - Analytics Capstone (4)

The purpose of this capstone course is to assess students' ability to synthesize and integrate the knowledge and skills they have developed throughout their coursework. The course provides students with the opportunity to demonstrate competency in the key domains of analytics through a comprehensive project that includes problem framing, data preparation, data visualization, data analysis, model development, model interpretation, and report presentation

MATH 254 - Mathematics for Data Analytics (4)

This course introduces fundamental concepts from calculus and linear algebra providing foundations for mathematical modeling. It also covers some statistics topics beyond an introductory level including several discrete probability distributions, and continuous probability distributions with a calculus lens. The focus is not on proof nor on excessive hand computations; instead, it is on employing and relating mathematics to real-world situations. Concepts are made concrete through visual and numerical computation with the help of programming tools.

Focus Area

Applied Data Science:

COMP 204 - Principles of Computer Networks (2)

This course serves as an introduction to the function, design, administration, and implementation of computer networks. Topics include network infrastructure, architecture, protocols, applications, and the OSI networking model.

DATA 250 - Analytics Programming (4)

This course introduces the essential general programming concepts and?techniques to analytics students. The goal is to equip the students with the?necessary programming skill in analytics problem-solving. Topics include?boolean, numbers, loops, function, debugging,?Python's specifics?(such as NumPy,?Pandas,?Jupyter?notebook), R's specifics?(such as list,?data frame, factor, apply,?RMarkdown),?the process of?data retrieving, cleaning,?integrating, transforming, and enriching to support analytics.

DATA 430 - Data Engineering?Technologies (4)

This?course covers fundamental methods and?widely-used technologies?in?data engineering. Topics include application programming interface (API),?web scraping, Extract Transform Load (ETL), and analytics at-scale using?PySpark.?

CLOUD 200 - Cloud Fundamentals (2)

This course explores the concepts of cloud computing, including financial impacts and business value, financial requirements, deployment, risks, and security. Hands-on exercises help students to gain experience with cloud computing environments, identifying technical and security requirements for given deployment scenarios, implementing the proposed cloud deployment scenario, and troubleshooting technical issues of existing cloud computing scenarios.

ITEC 450 - Database Administration (4)

This course covers a breadth of subjects in Database Administration. Building on the database management systems course, this course covers topics about the configuration, administration, and performance of the database engine itself. Using Oracle 11g as a platform, students will learn about installation, configuration, performance tuning, security, disaster planning and recovery, and network connectivity of databases. This course also uses virtualization software to isolate the database server operating system from the underlying host operating system. As such, administrative access to a fast machine with at least 1 gigabyte of memory and 20 gigabytes of available hard drive space is required.

MIS 310 - Info Systems Architecture & Technology (4)

This course provides a conceptual survey of general systems theory followed by a conceptual and technological survey of the structure of distributed information systems architectures, operating systems, network operating systems, peripheral technology and user interfaces. Interoperability between these architectural components will be explored and current technology and trends in each architectural element will be reviewed. This course will de-emphasize, although not ignore, mainframe architectures in favor of information architectures more applicable to client/server computing. The various interacting categories of client/server computing as well as the benefits and implications of such a system will be fully explored.

ITEC 430 - Information Technology Project Management (4)

This course provides an introduction to the concepts of information technology project management and techniques for initiating, planning, executing, monitoring, and controlling of resources to accomplish specific project goals. Both technical and behavioral aspects of project management are discussed. While the focus is on information technology projects, the principles follow the nine project management knowledge areas obtained in the Project Management Institute's?PMBOK?Guide, Third Edition?and, thus, are applicable to the management of any project. Topics will include integration, scope, time, cost, quality, human resource, communications, risk, and procurement management. Project management software utilization is emphasized.


Business Analytics:

ACCT 202 - Financial/Managerial Acct for Non-Majors (4)

This course is an introduction to financial and managerial accounting. It is designed for non-accounting majors. Financial accounting emphasizes how general purpose financial statements communicate information about the business's performance and position for users external to management. It emphasizes how the accountant processes and presents the information. The course also examines the major elements of the financial statements. The managerial accounting portion of the course studies internal reporting and decision-making. The course assists those who wish to learn "what the numbers mean" in a clear, concise and conceptual manner without focusing on the mechanical aspects of the accounting process.

BSAD 220 - Business Law (4)

A study of the everyday legal problems encountered in business with emphasis on the areas of legal procedure, contracts, agency, employment law, business organizations and torts, with cases relating to these and other areas.

ECON 210 - Introduction to Microeconomics (4)

An introduction to economic theory involving the examination of how decision making by firms and individuals is shaped by economic forces. Emphasis is placed on demand, supply, market equilibrium analysis, and basic market structure models. The invisible hand as the driving force for economic decisions as well as market externalities are discussed. The class concentrates on providing a balanced approach to studying economic agents' behavior and the global implications and outcomes.

FINA 301 - Principles of Finance (4)

This course is designed to survey the field of finance and provide the foundation for more advanced finance coursework. Topics include sources of business and financial information, financial statement analysis, the time value of money, the nature and measurement of risk, financial institutions, investments and corporate finance.

MGMT 312 - Principles of Management (4)

This course explores the basic concepts and processes of management. Students will explore the functional roles and processes of planning, leading, organizing, and controlling comprising the manager role. Students develop skills related to the manager function that are required in today's competitive environment.

MKTG 300 - Marketing (4)

Theory, strategies and methods are foundational to the informed practice of marketing. Students investigate the importance of marketing to an organization or cause, the interrelationship of the difference phases of marketing, the marketing of goods versus services, analysis and identification of markets, pricing strategies and digital marketing tactics.


Healthcare Analytics:

HCM 210 - Healthcare Foundations (2)

This course will provide fundamental information regarding health, healthcare, and the healthcare delivery system. Students will become familiar with the various types of healthcare organizations, stakeholders, and healthcare issues in order to shape their understanding of the different components of the healthcare delivery system. Through the exploration of health information, students will discuss and analyze the role healthcare professions play within healthcare.

HIM 150 - Medical Terminology (2)

This course will introduce the foundations of medical terminology nomenclature and use. Emphasis will be on the fundamentals of prefix, word root, and suffix linkages to build a broad medical vocabulary.

HIM 200 - Introduction to Health Information Management (2)

Students are introduced to the roles of the health information management (HIM) professional in a variety of healthcare settings. The educational and credentialing requirements for the HIM professional will be discussed along with an overview of the U.S. healthcare delivery system, and the various reporting and accrediting requirements.

HIM 320 - Health Data (4)

This course introduces students to various types, definitions, relationships, uses, and interpretations of data derived from healthcare functions and processes. Students will explore information standards and representations of health data that are commonly used for patient care, reporting, reimbursement, and quality improvement programs.

HIM 350 - Health Informatics (4)

This course will cover the history of health informatics, design and challenges of informatics infrastructure, and current issues. Topics will include HIPAA and other legislation, application of electronic health records, and other clinical and administrative applications of health information systems.

HIM 470 - Health Information Systems (4)

This course examines healthcare organizations from the perspective of managing the information systems that exist within the enterprise. Identifying the clinical and healthcare delivery processes and how they relate to information systems is a main focus. The intent of the course is to identify the key issues confronting the management of healthcare information systems today, examine their causes, and develop reasonable solutions to these issues. Specific federal regulations, vendor solutions, and financial implications as they relate to healthcare information systems are also examined.

HIM 485 - Applications in Health Info Systems (2)

This course will require the student to apply Health Information Management software, tools, and techniques to authentic healthcare situations and problems. Emphasis will be on the applications of electronic health records, common data tools and reports, and the appropriate analysis for decision-making.

HCM 442 - Legal Aspects of Healthcare Management (4)

Understanding cultural competency, ethics, policy, and law is necessary for healthcare professionals in a continuously evolving healthcare system. This course will provide students with practical knowledge and methods for applying ethical, legal, and cultural decision-making frameworks to mitigate risks. Topics will include regulatory compliance, patient consent, privacy and confidentiality, and cultural competence.

University Electives

17 credits from the following types of courses:
Any undergraduate courses offered by the University except developmental education courses.

Additional Requirements

All students are required to pass College Writing (ENG 120), and either Basic Learning Strategies (PF 121) or Learning Strategies (PF 321) prior to enrolling in any course at the 200 level or above. Students who enroll at Franklin with 30 or fewer hours of transfer credit are required to pass PF 121 Basic Learning Strategies in place of PF 321 Learning Strategies. Interpersonal Communication (COMM 150) or Speech Communication (SPCH 100) must be taken prior to enrolling in any course at the 300 level or above. Students must also meet the University algebra competency requirement.

Academic Minors

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B.S. Analytics-Business Analytics Focus Program Details

Career Opportunities

Business Intelligence Analyst

Business intelligence analysts interpret and apply data visualization, descriptive and summary data for predictive and prescriptive purposes.

Business Analyst

Business analysts gather business requirements, assess needs, determine technical requirements and establish corresponding project plans.

Financial Analyst

Financial analysts identify trends in financial data to support decision making, and impact business growth through active management of investment portfolios.

B.S. Analytics Knowledge & Skillsets

Gain in-demand skills sought by employers with curriculum that teaches you:

B.S. Analytics-Business Analytics Focus Frequently Asked Questions