Business Analytics Fundamentals Micro-credential

Develop your competitive edge and gain highly sought-after business analytics skills with a Micro-credential in Business Analytics Fundamentals at Duquesne University. You'll establish a foundational understanding of statistics, data querying, analytics and information management, and managerial decision tools.

The flexible format of our evening and online courses allows you to maintain your current commitments while you increase your long-term potential. Completing business analytics courses through our micro-credential can enhance your professional development, propel your career possibilities, and prepare you to transfer into graduate school.

Graduate Viewbook

Online business analytics courses


Earn a non-degree micro-credential in business analytics fundamentals through 100% online or hybrid online and on-campus courses. You can complete the 9-credit micro-credential in 1 semester (fall) or 2 semesters (fall-spring). The coursework is excellent professional development and you'll be eligible to transfer some credits to multiple graduate degrees at Duquesne. Learn more about our business analytics courses.

This business analytics training is designed especially for working professionals by offering career-building, experiential insights to build your analyst skill set. In addition, our flat tuition structure provides an affordable option to pay for the entire program by semester.

Why pursue an analytics micro-credential?


Lifelong learning is popular among students and employers alike. With a micro-credential in business analytics, you can demonstrate to employers that you invest your time and resources in professional development. At Duquesne University, we mirror that investment.

Here, you'll learn in accessible settings that are flexible to your career needs. Our small classes are taught by expert faculty, and our Business Analytics Fundamentals Micro-credential is delivered by the AACSB-accredited Palumbo-Donahue School of Business. You'll study alongside fellow ambitious professionals as well as full-time graduate students working toward a common goal: excellence in business.

If you successfully complete the Business Analytics Fundamentals micro-credential, you will be eligible for 4.5 credits of advanced standing credit toward the Professional MBA, 6 credits of advanced standing credit toward the MS - Analytics and Information Management and MC - Analytics and Information Management, or 7.5 credits of advanced standing toward the STEM-designated Professional MBA.

If you earn a 3.25 GPA or better in the micro-credential, you will qualify for GMAT/GRE waivers when applying for a graduate degree at Duquesne.

Possible Sequences

Fall Semester  STAT-501 (1.5 cr.) GRBU-503 (1.5 cr.) ISYS-610 (3 cr.) ISYS-612 (3 cr.)

Or
Fall Semester  ISYS-610 (3 cr.) ISYS-612 (3 cr.)    
Spring Semester STAT-501 (1.5 cr.) GRBU-503 (1.5 cr.)    

Learn more about Analytics Micro-credential

Advance your professional development and prepare for further business analytics courses with an online or hybrid Business Analytics Fundamentals Micro-credential from Duquesne University.

School

Palumbo-Donahue School of Business

Curriculum and Course Descriptions

Foundation in probability and statistics necessary for students looking to go on to study the application of statistics to business. In this course, students will learn the rules of probability, how to identify and use common probability distributions, and how to conduct basic hypothesis tests.
An introduction to investment strategies, portfolio allocation theory and application, debt and equity securities, portfolio management strategies, determining a client's risk tolerance and goals, and managing an investment portfolio that incorporates a client's level of risk.
A study of qualified and non-qualified retirement plans, other tax-advantaged plans, employee benefits, and an overview of the Social Security, disability and health care programs.
Modern organizations use database management systems to store their critical business data. In this course, students learn to answer business questions using various data retrieval, manipulation and transformation tools. For instance, data retrieval for most data-driven business applications relies on Structured Query Language (SQL) - the international standard language for data manipulation and retrieval. To source the data required by analytics projects, students will learn to utilize SQL along with other data-related concepts and languages.