Online Certificate in Managerial Analytics

Managerial Analytics Certificate Highlights

• Increase your functional knowledge in the rapidly growing field of data analytics as it applies to business management.
• Learn to apply analytics across business areas including, but not limited to: finance and forecasting, price optimization, customer acquisition, computer information systems, web page analysis, operations management, inventory planning, and more.
• Develop your ability to communicate analysis and results through data visualization and data storytelling.
• Complete your business certificate in managerial analytics in as little as 2 semesters.
• Connect and network with other professionals across the industry.
• Learn when it’s convenient for you with 100% online courses and anywhere, anytime access.
• Get a jump start on your MBA—credits earned in the certificate can count as 1/5 of your UofL MBA, offered online and on-campus (you must apply and be admitted separately to the MBA).
• Receive a Credly badge upon program completion as a token of your skills and knowledge - add it to your signature, communications, social media, resume or personal branding materials.
   

Academic Year Tuition

$800 per credit hour
$600 per credit hour active-duty rate

This program is NOT a Title IV federal financial aid eligible program. Tuition rate does not include costs associated with a specific course or program, such as textbooks. Tuition, fees, and charges are subject to change and effective on the date enacted.

For additional information on educational expenses and the Cost of Attendance, please visit the Student Financial Aid Office website.

Be aware! Other fees apply – please check our tuition page for all applicable costs.

  Tuition, Fees & Aid

Managerial Analytics Certificate Outcomes

Job growth in data science is significant, expected to grow faster than average in the 2018-2028 projections (bls.gov).

Managers who have analytics expertise are better poised to help improve and grow an organization through data insights. Graduates of the online Managerial Analytics Certificate are equipped with the expertise to apply data management, statistics, and communication skills needed to successfully gather, analyze, interpret, and provide narrative(s) around data to drive strong business strategy, solve business problems and promote growth.

Professionals who combine the certificate with an MBA from UofL have a stronger foundation for integrating data analytics and artificial intelligence (AI) into their business development strategy, and are better prepared to advance their career and distinguish themselves in the marketplace.

Managerial Analytics Certificate Application Deadlines
 

Please note, some courses may not be offered during a specific term. Please talk to your advisor for more information.

Applicants who have not yet completed the course ANLY 631 must first enroll in the Fall III or Spring III term. Currently enrolled MBA students will work with their academic advising team to apply.
 

Note: We admit students on a rolling basis. The preferred deadlines help you complete the application process on time, be notified of acceptance and enroll before the term begins. We review applications as they become complete, and admit students for a specific term up to the day classes start. We recommend you work on and submit your complete application well in advance of the preferred deadline, as obtaining transcripts and other materials may take more time.

How to Apply

1. Complete online application
2. Submit $40 application fee
3. Request official transcripts certifying an undergraduate degree earned from an accredited institution.
   • Electronic (recommended):
     gradadm@louisville.edu
   • Physical Mail:
     University of Louisville,
     Graduate School
     2211 S Brook St, Houchens Bldg, Rm 105
     Louisville, KY 40292;
4. Check for Scholarships
    

Start Your Application

Admission Requirements

To enroll in the online Managerial Analytics Certificate offered by the College of Business at the University of Louisville, you must apply as a graduate non-degree seeking student and meet the following requirements:

For more information on the admission and application process, please contact our graduate recruitment team.

• Bachelor's degree in any field from an accredited college or university*
• Official transcript(s) certifying the undergraduate degree
• Minimum cumulative undergraduate GPA of 2.5 (on a 4.0 scale)

GMAT/GRE scores are not required for admission.

*While all backgrounds are accepted, applicants should be aware of the highly technical nature of the courses.

* See the UofL Transfer Credit Policy for more information.

Managerial Analytics Certificate Courses

UofL’s online Managerial Analytics Certificate consists of 7 courses (totaling 12 credit hours). All courses are asynchronous, and delivered in 5-week terms. Courses in the Spring semester are 1.5 credit hours and are taken 2 at a time.
 

Course Descriptions

MBA 631 Introduction to Statistics and Data Analytics

This course will cover the fundamental topics and subject matter related to statistics up through multiple regression modeling. A strong emphasis will be placed on how to use statistics. This will be accomplished through student analysis of real world data sets during class periods and in the homework assignment.

ANLY 631 Introduction to Statistics and Data Analytics

The course will cover the fundamental topics and subject matter related to statistics up through multiple regression modeling. A strong emphasis will be placed on how to use statistics. This will be accomplished through student analysis of real-world data sets in various assignments.

MBA 602 Decision Analysis

Data organization and presentation, descriptive statistics, common probability distributions and sampling distributions, regression and inferential statistics, such as confidence intervals and test of significance.

MBA 651 Introduction to Business Analytics

Much of this data are usually meaningless until they are analyzed for trends, patterns, relationships, and other useful information. Organizations are increasingly interested in employees that have the knowledge, skill, and experience in systematically analyzing a wide-variety of data using advanced statistical tools to improve decision-making. This course provides a hands-on learning experience using powerful statistical tools that can be leveraged to work with structured data and generate business knowledge. A review of necessary statistical concepts will be provided as needed. Extensive use of a leading statistical tool such as SAS and SPSS is expected.

MAC 668 Statistical Analysis

Introduces advanced statistical analysis tools and techniques.

ANLY 610 Database

The course introduces issues, principles, and technologies used in managing organizational data. It covers concepts and skills for developing, accessing, and administering data related technologies with a strong focus in developing relational data models, relational databases, and formulating and executing complex quieries. It also discusses the role of data management technologies and practices in an organizational setting and how such tecnologies and practices affect business strategy, business processes, and organizational structure. This course has a strong hands-on component. The course will make extensive use of a leading relational database management software and structured query language (SQL).

ANLY615 Artificial Intelligence

This course introduces the fundamental concepts, techniques, technologies, and practices of AI. Hands-on experiences in design and implementation are provided in meaningful business contexts. In addition you will be introduced to a leading data mining tool such as SAS Enterprise Miner. Homework is expected after each class session. Such work will build on the concepts and skills introduced in class. You will use a leading machine learning platform such as SAS Enterprise Miner to finish class work and assignments.

ANLY 620 Advanced Business Analytics

The volume of data generated every day continues to grow exponentially. Being able to mine the available data for information is now a fundamental skill sought by organizations. This course challenges and teaches students how to use powerful statistical tools (e.g.,SAS and SPSS) to handle data that comes in a variety of forms and sizes in more complex, less structured business situations. Students will participate in extensive hands-on work solving realistic business problems. This course may guide students with handling advanced regression analysis that deals with real-life models and interaction variables, time series analysis, and topics such as path modeling. After taking this course, students should: (1) Approach business problems data-analytically; (2) Think systematically whether and how data can help make better-informed decisions; (3) Be able to interact competently with business analytical tools; and (4) Have a hands-on experience mining data. A review of necessary statistical concepts will be provided as needed.

ANLY 625 Spreadsheet Modeling for Analytics

This course introduces decision-support modeling using spreadsheets, including what-if analytics, goal-seeking, one and two-way data tables, and tools to solve optimization problems. The course explores a library of functions to manipulate data, visual presentation of data, and data organization skills. Students in this course should have an understanding of cell referencing, file manipulation, importing/exporting data, and the basic time-value of money financial concepts. Students will demonstrate mastery of the material through hands-on projects and skills assessments. The primary tool used in the course is Microsoft Excel.

ANLY 630 Blockchain

The purpose of this course is to explore Blockchain concepts and how to apply them in a wide range of real business scenarios and explore unique, challenge-based business scenarios using design-thinking methodology.

ANLY 635 Storytelling with Data

This course is a data visualization and business presentations course specifically designed for professionals in the field of business analytics. Throughout the course, you will develop an ability to organize, visualize, and present data driven messages that are professional, clear, concise, and persuasive. You will enhance your ability to communicate with and about data in multiple business and professional contexts: Formal individual presentations, team-based presentations, and informal one-on-one and small group interactions.