This certificate prepares students for entry-level data analytics positions requiring knowledge, setup and usage of business intelligence and data analysis solutions. Data analytics is expanding in businesses, government agencies and not-for-profit organizations, enabling them to make better decisions utilizing appropriate data and information. Students will have the ability to structure data and prepare reports in a way that is meaningful to business, government agency and not-for-profit organization users. Course work will include database concepts, data modeling, SQL, data analysis, data mining tools, mathematical and statistical techniques, project management and systems analysis. Emphasis is placed on strong communication skills necessary to interact with key users and understand their requirements.
This Sample Program Pathway is designed to provide an example of course selections in a term by term sequence. Please see an Academic Advisor for a plan specific to your academic needs.
Description: Introduction to problem-solving techniques used in programming. Students learn to use tools such as flowcharts and pseudocode to plan solutions. Using the C++ programming language, students will design, code, and test programs using sequence, selection, iteration, functions, and arrays.
Prerequisites: MAT 0200 or MAT 1120
Description: This course is designed for students who are interested in Information Technology but have limited technical knowledge of computing systems at the fundamental level. Students will explore foundational concepts related to computer hardware and software, networking, databases, programming, Information Systems, and data security.
Notes: Program elective. Choose from the following courses: BIS 1105 or BIS 1120
Term hours subtotal:
6
Description: Introduction to the systems development life cycle and the four-phase model (planning, analysis, design and implementation). Emphasis on requirements gathering, methodology, modeling and skills related to specifications, design and documentation. Discussion of business processes, law, legal issues and ethics for IT professionals.
Description: Applications of mathematics and functions to business analysis. Linear applications, functions, financial mathematics, systems, matrices, inequalities. Traditional testing (proctored or in Testing Center) is used in all online sections. Note: Students who have not completed the required prerequisite courses listed, but have successfully completed MAT 0200 with a grade of C or better, can register for MAT 1460 together with the co-requisite course MAT 0460, Booster for Mathematics for Business Analysis.
Prerequisites: MAT 0300 and Other (with a grade of C or better or satisfactory score on math placement test)
Term hours subtotal:
6
Description: Introduction to database management systems. Discussion of database environments, design, planning, implementation and administration in a relational model environment. Students will design and develop a simple database and implement a portion of this application including forms, queries and reports. Emphasis on database design techniques, normalization and the SQL database language.
Prerequisites: MAT 0200 or MAT 1120
Description: Statistical techniques and methodology. Graphical and tabular presentation of data, probability, parameters, statistical distributions, sampling, confidence intervals, tests of hypotheses, regression, and correlation. Three classroom, two lab hours per week. Traditional testing (proctored or in Testing Center) is used in all online sections.
Prerequisites: MAT 0300 and Other (with a grade of C or better or satisfactory score on math placement test)
Term hours subtotal:
7
Description: Introduction to database management system in a client/server environment. The course covers Structured Query Language (SQL) and development and administrative tools. Students are taught to create and maintain database objects and to store, retrieve and manipulate data, and create blocks of application code that can be shared by multiple forms, reports, and data management applications.
Prerequisites: CIS 2165
Description: Statistical inferences, including estimation, confidence intervals, and tests of hypotheses for means, standard deviations and proportions; analysis of variance; regression analysis; chi-square; business applications. Students will develop a basic competency using a computer spreadsheet to perform statistical calculations. Two classroom, two lab hours per week. Traditional testing (proctored or in Testing Center) is used in all online sections.
Prerequisites: MAT 2170 and Other (with a grade of C or better or satisfactory score on math placement test)
Term hours subtotal:
6
Description: An introduction to business intelligence, data analysis, data warehousing, data mining theory and tools, and how to structure the data and prepare reports in a way that is meaningful to business users. Emphasis is placed upon understanding business intelligence techniques to construct and use business intelligence solutions for decision support.
Prerequisites: MAT 1450 or MAT 2170 and CIS 2165
Description: Students earn academic credit toward their graduation requirement by working in a professional information technology environment. Students must work at 5 - 10 hours per week per credit hour for one semester and be supervised/mentored by a professional in the field. The BPS internship coordinator can help guide students in their search, but students are ultimately responsible for obtaining a qualifying position. Students already working in the field may apply to use that experience to meet the internship requirement if they can prove that new learning will take place
Prerequisites: CIS 1107 or CIS 1411 or CIS 2510 or CIS 1202 or CIS 2212 and Approval of Department
Term hours subtotal:
5