Business Analytics

a STEM designated degree for future data driven leaders

Business Analytics is an approved STEM major. It is essential for turning data into actionable insights, helping organizations make smarter decisions and stay competitive in today's market. Studying Business Analytics equips you with the tools to solve real-world problems, make informed business recommendations, and add value in any sector and prepares you for roles as a business analyst, data architect, or market analyst. 

Why choose a B.B.A in Business Analytics?

Studying Business Analytics is a valuable choice for several reasonsHigh Demand for Analytics Skills: In today's data-driven world, skilled professionals who can analyze and interpret data to drive strategic business outcomes are needed. Business Analysts are in high demand across all industries including finance, healthcare, marketing and technology. 

  • Diverse Career Opportunities: A background in Business Analytics opens doors to various roles, such as data analyst, business intelligence analyst, operations analyst and a variety of other options.
  • Driving Decisions-Making and Innovation: Business Analysts play a key role in identifying trends, making data-driven recommendations, and optimizing bvusiness processes, all of which contribute to an organization's success and ability to innovate.
  • Versatile Skill Set: The skills gained in Business Analytics, including statistical analysis, data visualization, and programming are applicable across industries and highly adaptable to new technologies.  

Program Highlights

Get ready for a variety of roles as you develop technical, soft skills and Domain-Specific knowledge. 

  • Technical skills include:
    • Gaining expertise in data analytics and statistical analysis, hypothesis testing and data mining.
    • The skills to create impactful visuals with tools like Tableau and Power BI.
    • Develop programming proficiency in Python and R for data while building reporting and analysis capabilities.
    • Master SQL for data extraction and manipulation.
    • Work with Hadoop and Spark to handle large datasets
  • Soft Skills include:
    • Critical thinking and problem solving with data-driven solutions
    • Effectively translate complex data into clear, actionable insights.
    • Align analytics work with real-world organizational goals.
    • Organize and manage projects, timelines and resources
    • Understand the ethical use of data, privacy and compliance.
  • Apply analytics solutions tailored to specific industry needs. 

Hours Required for Degree

  • A minimum of120 hours are required including the completion of:
    • 27 credits from the Business Core,
    • 33 credits from the Business Analytics major core,
    • 2 courses (9 credit-hours) from any upper division 300/400 College of Business course
    • 5 courses (15 credit hours) from any 300/400 Information Systems courses or courses from a list of approved electives.

Course Details

[3 credit(s)]

Prerequisite: Placement by ACT/SAT scores or English Placement Exam. This course provides students with intensive writing instruction in the basic skills of expository and argumentative writing. Supplemental instruction is provided in the form of a tutorial component. Each Fall and Spring semester, a special section of ENG 100 is offered for students whose native language is not English. ENG 100 and ENG 101 cannot both be counted toward fulfillment of the first year writing requirement. ENG 100 requires class contact time of 4 credit hours and will be both applied towards financial aid and term billing as 4 credits. Only 3 credit hours count toward graduation requirements and will appear on a student schedule. The course requires a fee for supplemental writing center tutoring.

Semesters Offered: Every Fall and Spring.

[3 credit(s)]

Prerequisite: Placement by ACT/SAT scores or English Placement Exam. This course instructs students in the basic skills of expository and argumentative writing. Each Fall and Spring semester, a special section of ENG 101 is offered for students whose native language is not English. ENG 101 and ENG 100 cannot both be counted toward fulfillment of the first-year writing requirement. Supplemental instruction is available for this course by taking ENG 105.

Semesters Offered: Every Fall and Spring

[3 credit(s)]

Prerequisite: Placement by ACT/SAT scores or English Placement Exam, or completion of ENG 100 or ENG 101. ENG 102 continues to cultivate and hone the skills acquired in ENG 100 or ENG 101, but also incorporates research and information literacy skills. Each Fall and Spring semester, a special section of ENG 102 is offered for students whose native language is not English. Supplemental instruction is available for this course by taking ENG 106.

Semesters Offered: Every Fall and Spring

[3 credit(s)]

Prerequisite: a grade of SC or better in MTH 087 or suitable placement-exam score. The topics for this course include equations of lines, graphs of functions, word problems, polynomial models, and mathematical applications. The course shows how to use exponential and logarithmic functions to study mathematical finance applications such as simple interest, discount, compound interest, present and future values, annuities, and amortization. The course also covers systems of linear equations, and matrices.

Semesters Offered: Every Fall and Spring.

[3 credit(s)]

Prerequisite: Completion of 15 credit hours and ENG 100/ENG 101 with a final grade of C or higher. For BBA majors only: Completion of course BUS 151 World of Business or concurrent enrollment of course BUS 151. Fundamentals of accounting theory, concepts, and practice; includes the basic structure of accounting and accounting as it is used as a basis for business using the recording of changes in financial conditions, measuring business income; introduces the concept of accounting systems and control.

Semesters Offered: Every Fall and Spring.

[3 credit(s)]

Introduces students to the global environment of modern business, the structure of business enterprises, entrepreneurship, innovation and the creation of capital, and to the management, marketing, financial analysis, and strategies that create successful organizations. Introduces students to the study of business and to the challenges and rewards of professional careers in this field.

[3 credit(s)]

Prerequisite: MTH 148 or its equivalent with a grade of “C” or better. Application of statistical methods to business problems; topics include descriptive statistics (tabular, graphical, and numerical measures), elementary probability, discrete and continuous random variables and probability distributions (normal, standard normal and ‘t’ distributions); interval estimation and hypothesis testing about a single population mean and proportion, and simple linear regression.

Semesters Offered: Every Fall and Spring.

[3 credit(s)]

Introductory course in macroeconomic theory: national accounting, levels of output and employment, money supply, government monetary and foreign exchange, and the international monetary system.

Semesters Offered: Every Fall and Spring.

[3 credit(s)]

To develop a good working knowledge of Microsoft Excel, including the use of advanced functions and business intelligence tools to manage and analyze data, conduct what-if analyses, and design and create dashboards to support decision making. The course emphasizes hands-on experience to ensure the students acquire the skills that they can readily use in their workplace.

Semesters Offered: Every Fall and Spring.

[3 credit(s)]

Prerequisite: BUS 201 or STA 145 or MTH/STA 147 or equivalent. Development of statistical theory and its application to econometric models, including simple, multiple, and nonlinear regression and correlation; derivations of some important sampling distributions and their application in economics and business.

Semesters Offered: Every Fall and Spring.

[4 credit(s)]

Prerequisite: IST 203. Introduces the fundamental concepts of object-oriented programming using a contemporary OO language. Topics include classes and objects, data types, control structures, methods, arrays, and strings; the mechanics of running, testing, and debugging programs; definition and use of user-defined classes.

Semesters Offered: Every Fall and Spring.

[3 credit(s)]

Prerequisite: IST 211 and IST 305. This course introduces database concepts. It focuses on the construction, management, and utilization of relational databases. The student is exposed to an extensive coverage of SQL (Structured Query Language) for basic and advanced queries. Examples of enterprise-level production systems are used for stand-alone and embedded SQL-based applications.

Semesters Offered: Every Fall and Spring.

[3 credit(s)]

Prerequisite: IST 305. An introduction to data science utilizing Python and R programming languages. This course introduces the basics of Python, and an introduction to R, including conditional execution and iteration as control structures, and strings and lists as data structures. The course emphasizes hands-on experience to ensure students acquire the skills that can readily be used in the workplace.

Semesters Offered: Every Spring.

[4 credit(s)]

Prerequisites: Completion of all 200- and 300- level courses from the Business common body of knowledge, IST 331 and IST 341. In this course, students will be expected to design and implement a large group project. The project will be based on knowledge and skills acquired throughout the student’s tenure as an IST major. Presentations and accompanying reports are required. Upon successful completion of this course, a student will have learned to work effectively on a large project within a group setting and will have gained experience in reporting on the project during its various stages of development. In doing so, the student will also gain understanding, through experience, of the important phases of project development: planning, analysis, design, implementation and testing. The project will be a substantial addition to the student’s portfolio.

Semesters Offered: Every Fall and Spring.

[3 credit(s)]

Prerequisite: IST 331. Introduces data mining methods, tools and techniques. Topics include acquiring, parsing, filtering, mining, representing, refining, and interacting with data. It covers data mining theory and algorithms including linear regression, logistic regression, rule induction algorithm, decision trees, kNN, Naive Bayse, clustering. In addition to discriminative models such as Neural Network and Support-Vector Machine (SVM), Linear Discriminant Analysis (LDA) and Boosting, the course will also introduce generative models such as Bayesian Network. It also covers the choice of mining algorithms and model selection for applications. Hands-on experience include the design and implementation, and explorations of various data mining and predictive tools.

[3 credit(s)]

Prerequisite: IST 331. This course is for students interested in the IT systems and infrastructures management. The course covers the basic principles of systems operations and management. Topics include basic computing platforms, operations systems, basic networking, data storage and backup. The course will also include monitoring, event management, problem management and change management. Introduction to availability, performance and security will be covered at a very high level.

[3 credit(s)]

Prerequisite: ECN 322. An introduction to the use of business intelligence and data visualization in organizations, with emphasis on how information is gathered, stored, analyzed, and used. The impacts of data-driven decisions are explored.

Semesters Offered: Every Fall.

[1 credit(s)]

Prerequisites: Senior standing and completion of all Core Information Systems requirements. To develop a good working knowledge of cybersecurity best practices and techniques. Tools utilized will include attack prevention, data security, and data-driven analytical solutions to business problems.

Semesters Offered: Every Fall and Spring.

[3 credit(s)]

Prerequisites: Approval of the IS department. Acceptance into the Cooperative Education Program of the IS department, a minimum of Sophomore standing. Work with a designated faculty advisor to establish objectives for the co-op period, review progress during the work period and review results of the experience against objectives. A student final report is required. Can be taken only once.

Semesters Offered: Every Fall and Spring.

[3 credit(s)]

This course aims to (i) discuss Health Information Technology (HIT) applications found in hospitals and clinics, (ii) provide an understanding of the functions of both enterprise and departmental HIT applications, and (iii) understand the essential interoperability level and related issues in order to improve the overall quality, safety and efficiency of the health delivery system in general and patient care in particular.  This course will also review (i) HIT standards and code sets, (ii) concept of Electronic Health Records (EHR’s), (iii) healthcare related clinical and business processes supported by the applications, (iv) overall system flow for a Healthcare Organization (HCO), and (v) specific HIT application functions. Course work will include a review of some of the integrated HIT solutions available in the market. This knowledge will enable students to understand HIT related systems design and support HIT initiatives of a hospital or ambulatory practice.

[3 credit(s)]

Prerequisite: IST 305. This course provides students with the theoretical and practical background to understand the complex issues surrounding the creation, transfer and use of information and knowledge within and between organizations. Students gain an appreciation of the organizational, psychological, cognitive, social and technical issues associated with knowledge management.

Semesters Offered: Every Fall.

[3 credit(s)]

Prerequisites: IST 203 and Junior Standing. Introduces decision support systems concepts, methodologies, decision analysis, modeling, optimization and integration of intelligent systems. Provides hands-on instructions for building spreadsheet-based Decision Support Systems (DDS). Students learn analytical technologies used to create dashboards and scorecards, data, text and Web mining methods for trend and artificial intelligence techniques. Illustrates various intelligent techniques of business analytics through case studies from management, business administration and operations research.

[3 credit(s)]

Prerequisites: IST 341. Advanced knowledge of data communications and networking as they apply to computer security. Identifying and analyzing the various types of security risks. Investigating the tools used to counteract security risks. Developing security and business continuity plans based on the security risks and tools incorporated. Upon successful completion of this course, a student will be able to analyze, design, implement, and administrate an organization’s network security system.

Semesters Offered: Every Spring.

[3 credit(s)]

Prerequisite: IST 211. IST 450 introduces students to web design for both client-side and server-side programming. The course covers planning, designing and creating effective web pages for all types of computing devices including desktops, laptops, tablets, and smart phones. The students will be equipped with the following web design knowledge and skills in this course: HTML 5, CSS 3, Bootstrap, Java Script, jQuery, PHP with MySQL or ASP.NET with SQLServer, UI/UX, Search Engine Optimization, web services and WordPress.

Semesters Offered: Every Fall and Spring.

[3 credit(s)]

This course will cover HIT organizational structures, policies and procedures to successfully implement and support hospital systems in support of the Health Care Organizations’ objectives. The student will understand the basics of HIT application software planning, selection and implementation. Case studies will be analyzed to reinforce learning objectives. Analysis of policies and procedures required to address data and physical security, confidentiality of Protected Health Information, business continuity ad operations management will be threaded throughout the course. The roll of the Department of Health and Human Services mandates affecting HIT requirements will be reviewed. Specifically, the impact of HIPAA, and the American recovery Act on IT requirements to achieve Meaningful Use of Electronic Medical Records (EMRs) will be analyzed.

[3 credit(s)]

Prerequisite: IST 203. This course aims to (i) provide an introduction to the key concepts related to business analysis (ii) help students gain in depth knowledge of various techniques used in business analysis, (iii) develop skills required to complete various business analysis tasks, and (iv) illustrate various business analysis practices employed in the industry. This course does not require any technical expertise and will not teach any specific computer programming.

Semesters Offered: Every Spring.

[3 credit(s)]

Prerequisites: IST 305. This course aims to provide an overall view of Business Processes. A business process can be thought of as a series of steps taken by a business to get activities done. Students, after completing this course will understand how to design business processes and optimize such designs. Simulation tools will be used to chart business processes.

[3 credit(s)]

Prerequisite: IST 305. IT Governance is a collection of processes that define the management, planning, review, and performance reporting that establishes control over IT investment, projects, and delivery of services. IT Governance “helps ensure that IT supports business goals, optimizes business investment in IT, and appropriately manages IT-related risks and opportunities” (COBIT). This includes creating appropriate decision rights and accountability frameworks. This course explores these processes to better understand how organizations can achieve higher levels of IT effectives by developing their governance processes. Material covered includes best practices from existing industry standards such as COBIT, ITIL, and ISO.

Semesters Offered: Every Spring.

[1 credit(s)]


Prerequisite: Junior standing and permission of an IS Department faculty advisor. Work experience in a professional environment. The work performed must extend the academic curriculum and provide a meaningful learning experience in the student’s area of interest. Term paper required. This course may only be taken once.

Semesters Offered: Every Fall and Spring.

[1-3 credit(s)]

Variable topics and issues related to information technologies are covered with an emphasis on new developments and emerging trends.

[1-4 credit(s)]

Senior standing, approval of sponsoring professor and department chairperson, written proposal approval before registration. Flexible content/structure course to enable qualified students to pursue special areas of interest and competency.

Semesters Offered: Every Fall and Spring.

To see a complete list of classes required visit the CSU Catalog

Mailing Address
Cleveland State University
Monte Ahuja College of Business
2121 Euclid Avenue, BU 344
Cleveland, OH 44115-2214
information_systems@csuohio.edu

Campus Location
Monte Ahuja Hall, Room 344
1860 E. 18th Street
Cleveland, OH 44114
Phone: 216-687-4760
information_systems@csuohio.edu

Webmaster

h.pu@csuohio.edu

Instagram

Department Instagram