Business Analyst - Associate Degree

Students gain skills that lead to success in college, employment, and life. Students should take this course in their first semester. (Pre-requisite: None.)

This course provides an overview of the interconnectedness among careers within Information Technology. Learn how various fields within the broader industry each play an integral role and how a personal brand fits into preparing you for your career choice.  (Corequisite: 10-890-101, College 101)

All college students, regardless of their college major, need to be able to make reasonable decisions about fiscal, environmental, and health issues that require quantitative reasoning skills. An activity based approach is used to explore numerical relationships, graphs, proportional relationships, algebraic reasoning, and problem solving using linear, exponential and other mathematical models. Students will develop conceptual and procedural tools that support the use of key mathematical concepts in a variety of contexts. This course may be used as the first of a two part sequence that ends with Quantitative Reasoning as the capstone general education math requirement. (Prerequisite: Next Gen Arith score greater/equal to 250 AND Rdg score greater/equal to 250; OR ACT Math score greater/equal to 15 AND ACT Reading score greater/equal to 16; OR prep courses-contact an academic advisor 920-498-5444).

Creating and editing documents, formatting and customizing documents, collaborating with others and working with reports, using tables, columns, and graphics.

Creating worksheets; enter data, make modifications, work with formulas and functions, create and enhance charts, manage data, transform data, conditional formatting, importing/exporting data, introduction to PivotTables and PivotCharts.

A foundational understanding of business analysis, the key concepts within the skills needed, and the underlying competencies of a business analyst.

Instruction in the multiple approaches used for performing business analysis, planning activities and ongoing communication, defining scopes, process improvements, assumptions, constraints, and dependencies, and the management process.

Covers working with data tools, advanced formatting techniques, advanced functions, evaluating formulas, collaboration tools, data validation, form controls, macros, working with templates, and collaborating with multiple Excel users. (Pre-req: 10-103-131, MS Excel Intro)

Learners develop knowledge/skills in planning, organizing, writing, editing. Students will also analyze audience/purpose, use elements of research, format documents using standard guidelines, and develop critical reading skills. (Prerequisite: High school GPA greater/equal to 2.6; OR ACT Reading score greater/equal to 16 AND English greater/equal to 18; OR Next Gen Reading score greater/equal to 250 AND Writing score greater/equal to 260; OR "preparatory course(s)", contact academic advisor at 920-498-5444)

Database uses, database terminology, analyzing information requirements, data models, database design phases, entity relationships, normalization processes, database management systems, database objects, development environments, creating tables, writing queries using SQL, testing.

Students will learn to use BA software tools- Visio, SharePoint, OneNote, and advanced Excel involving scenarios and case studies. (Corequisite: 10-103-132, MS Excel Part 2)

Define stakeholders and use the stakeholder analysis to conduct elicitation activities accurately capturing information needs, documenting, and confirming results. Facilitates meetings and communication plan to support ongoing collaboration. (Prerequisite: 10-102-124, Planning and Monitoring)

This science of psychology course is a survey of multiple aspects of behavior and mental processes. It provides an overview of topics such as research methods, theoretical perspectives, learning, cognition, memory, motivation, emotions, personality, abnormal psychology, physiological factors, social influences, and development.. (Prerequisite: Cumulative GPA of 2.6 or greater OR satisfactory reading and writing assessment scores OR 10-831-107, College Reading and Writing 1 with "B" or better OR Corequisite: 10-831-102, English Comp Prep).

Prioritize and trace requirements, organize large amounts of data, understand and model requirements using various analysis techniques; verify, validate, and communicate the requirements. (Prerequisite: 10-102-126, Elicitation Techniques)

Write queries in a relational database: creating tables, setting primary/foreign keys, populating tables, manipulating data and reporting. Explore join types, stored procedures, functions, and database administration SQL statements. (Prerequisite: 10-152-125, Database Design)

Basic understanding of theoretical foundations of ethical thought; analyze/compare relevant issues using diverse ethical perspectives; critically evaluate individual, social/professional standards of behavior--applying a systematic decision-making process. (Prerequisite: Next Gen Rdg score greater/equal to 250 AND Writing score greater/equal to 237; OR ACT Rdg score greater/equal to 16 AND English greater/equal to 15; OR 10-831-107, College Reading and Writing with a B or better)

This course introduces the study of diversity from a local to a global perspective using a holistic, interdisciplinary approach that encourages exploration and prepares students to work in a diverse environment. The course introduces basic diversity concepts, examines the impact of bias and power differentials among groups, explores the use of culturally responsive communication strategies, and compares forces that shape diversity in an international context. (Prerequisite: Next Gen Rdg score greater/equal to 250 AND Writing score greater/equal to 237; OR ACT Rdg score greater/equal to 16 AND English greater/equal to 15; OR 10-831-107, College Reading and Writing with a B or better.)

Learners will develop an understanding of cybersecurity methods, terms, and key technical concepts to identify and protect assets against attacks.

Develop knowledge skills, process of lean operations management/JIT, quality management, quality control, continuous improvement methodologies, statistical process control chart interpretation, material handling and production logistics.

Understand the principles of solution requirements, traceability, measuring, and tracing quality of BA work, utilizing metrics, complying with organizational standards, and managing and supporting organizational change. (Prerequisite: 10-102-128, Requirements Life Cycle Management)

Principles of report writing and correspondence, proposals, feasibility reports, progress reports, investigation reports, evaluation reports, meeting reports, memos, and correspondence. (Prerequisite: 10-801-136, English Composition I OR 10-801-195, Written Communication with “C” or better)

Create professional resume and cover letter, prepare for interviews, understand interviewing techniques, participate in a mock interview, evaluate outcomes of interview, and prepare for Career Experience. (Prerequisites: 10-105-100, Careers in Business OR 10-107-117, Careers in IT OR 10-201-100, Careers In Digital Arts)

Will provide business analysis and make focused organizational decisions by mining, aggregating, and conducting descriptive, prescriptive, and predictive analytics on big data using a variety of analytic tools. (For students in the Data Analyst program only - Prerequisite: 10-156-112, Data Visualization)

Develop knowledge skills process of lean manufacturing/JIT environment, systems approach, productivity attainment, line balancing, kaizen, Kanban, 5S system, value stream mapping, human resource development and lean operations management. (Corequisite: 10-182-111, Lean Operations)

The role of project management, developing a project proposal, demonstration of relevant software, working with project teams, sequencing tasks, charting progress, dealing with variations, budgets and resources, implementation, and assessment.

Identify and define business needs; understand business structure, strategy, and impact of work efforts; define the importance of vision, strategy, goals, and objectives; and define solution scope. Effectively facilitate change management. (Prerequisite: 10-102-130, Requirements Analysis & Design)

In this course, students will learn to organize, manage, and analyze very large data sets from various sources. Students will use software tools to present complex data in visually meaningful representations that can be communicated to business stakeholders. Upon completion, students will learn how to transform raw data into meaningful information that will be utilized for data-driven decision making. (Corequisite needed for Data Analytics program: 10-103-175, Power BI)

Develop a general awareness of Lean Six Sigma: what it is, why it matters, what makes it successful. This course provides an overview of Six Sigma concepts and language and an introduction to the Define-Measure-Analyze-Improve-Control (DMAIC) process improvement cycle. This course will prepare you to take the green belt six sigma certification. (Pre-requisite: 10-182-112, Lean Manufacturing)

Students can select any hands-on experience related to: Internship, Field Research, Service Learning, Simulations, Capstone, Industry Related, or International. Instructor approval required. (Prerequisite:10-105-103, Career Fundamentals)