Graduate Certificate

in Applied Analytics

How do you apply the latest methods and technologies to help your company gather, store, report, and analyze important data?

Data-informed decision-making has permeated virtually all aspects of life, from health care to social services, business, politics, manufacturing, retailing, real estate, finance, insurance, and sports. The Graduate Certificate in Applied Analytics is designed to give working professionals the technical skills and management tools needed to make data-informed decisions.

The Certificate provides insights into discovering meaningful patterns in data and how predictive modeling can be used to improve decision-making. The Loras College Applied Analytics Certificate will position your employees to make better decisions today and facilitate their increasing use of analytics in the future.

FLEXIBLE & CONVENIENT
Our program is delivered through a blend of online and classroom delivery, integrating the flexibility of online learning without losing the valuable personal interaction that a classroom provides. The certificate program can be completed in as little as 9 months (September-May). Students take one 7-week course at a time (and one 4-week class in January) and each class is held just one night per week.

The first six weeks are delivered online in a live virtual classroom and in the last week students come together face-to-face for a full weekend on the beautiful Loras campus in Dubuque. On campus, students will hear from engaging speakers and participate in meaningful group work.

ARE YOU READY?
Now is the time to invest, whether you’re looking to build your individual knowledge and skill-set or manage a business/organization and aim to motivate and inspire your current workforce through tuition reimbursement. You don’t have to be a large company to analyze, utilize, and benefit from big data. Our program is designed to immediately improve an organization’s use of data, and establish a baseline for future evolution.

>>A CALCULATED RISK WORTH TAKING – SUMMER COURSE OPTION
In this time of uncertainty, an important part of business planning is identification, analysis, and management of risk. To that end, Loras College is offering a 3-credit Risk Analysis graduate level Summer course. This course is offered in a hybrid online format and instructed by Dr. Dale Lehman, who recently co-authored his fourth book entitled “Practical Spreadsheet Modeling Using @Risk.” The spreadsheet-based course examines a variety of models geared to addressing business and social needs. Uncertainty is explicitly analyzed through the use of scenarios, simulation, and other techniques. Emphasis is placed on understanding and communicating the important uncertainties associated with any plan, and developing ways to incorporate these into business plans.

WHAT: Risk Analysis (MBA 571) graduate course at Loras College. Can be used as one course to satisfy the requirements for the Graduate Certificate in Applied Analytics.
WHO: Open to anyone with a Bachelor’s degree from a regionally accredited institution interested in professional development, continuing education credits, or personal enrichment.
WHEN: Tuesday nights from 6:30-8:30pm May 19th– June 30th (online) and Saturday/Sunday July 11th-12th from 8am-5pm (in person at the Loras campus). *Please note that given the rapidly changing COVID-19 situation, other arrangements will be made should the in-person weekend not be able to be held in-person.
COST: $2,160 for the entire course (employer tuition reimbursement accepted).

To register: Complete the free online application at loras.edu/apply (select “Graduate Non-Degree or Licensure Student” as the Admit Type), and email unofficial copies of transcripts from each institution attended to Megan Henderson, Director of Admission for Graduate and Postbaccalaureate Programs.

Application Requirements

Graduate Certificate in Applied Analytics Program Application Checklist

      • Complete the free Graduate application:
        • Please apply online at: www.loras.edu/apply
      • Submit all official transcripts from each institution attended, including undergraduate and graduate:
        • For a transcript to be considered official, it must be sent from that institution’s Registrar’s Office to Loras College Graduate Admissions. (Transcript “issued to student” as well as faxed and copied transcripts will not be considered official.)
        • All official transcripts can be mailed to:

      Loras College Graduate Admission
      Attn: Megan Henderson
      1450 Alta Vista Street
      Dubuque, IA  52001

      • Current resume:
        • Please upload your resume to your personalized online ‘Application Tracker’ page after you submit your online application.

      Application deadlines:
      Fall enrollment – all materials due by August 1
      Spring enrollment – please contact the Program Director to discuss class availability and your eligibility for a Spring start.

      Applications submitted after the deadline will be considered on an individual basis.

      Admission Decision:
      Immediately following receipt of all application materials, your file will be reviewed by the Program Director. You will then be notified via email of an admission decision and class registration information within one week.

      Course Requirements

      The goal of the Graduate Certificate Program is to develop thought leadership skills so participants can impact the organization they work for in the area of analytics.

      L.MAA 550 Visualization (Fall)
      L.MAA 520 Data Science (Fall)
      L.MAA 521 Database Programming (January Term)
      L.MAA 540 Machine Intelligence (Spring)
      L.MAA 560 Marketing Analytics (Spring)

      Course Descriptions

      L.MAA 550 Visualization (Fall)
      Data/visualization is widely used in a number of industries to help people analyze and understand what the data is telling us. This course provides an overview of the data/information visualization discipline. Using a hands-on approach, readings and lectures will cover various visualization principles and tools.

      L.MAA 520 Data Science (Fall)
      Analytics is the process of taking data and turning it into new forms of value. The beginning of this process is often referred to as Data Science and the second stage of the process encompasses algorithms and visualization. As an introduction to data science, we cover practical data analytic skills including accessing and transferring data, applying analytical frameworks, applying methods from data mining and machine learning, and learning analysis methods for processing text.

      L.MAA 521 Database Programming (January Term)
      This course explores the fundamental concepts of relational databases: how they are designed, accessed, protected, and managed. The primary focus is on database programming – statements that retrieve, modify, summarize, analyze, and extract data. Storing of queries within the database for repeated use will be covered.

      L.MAA 540  Machine Intelligence (Spring)
      Machine intelligence involves the set of technologies that permit computers to learn, including pattern recognition (text, image, and data), classification modeling, recommendation systems, natural language processing, as well as a variety of other applications. This course goes further to explore techniques which automate the ability of computers to recognize and identify patterns and learn from them. This course provides hands-on experience building such systems within the business context.

      L.MAA 560 Marketing Analytics (Spring)
      Marketing is often characterized by product, place, promotion, and price. It’s extended in many contexts to include people, packaging, and positioning – areas that can be improved through the use of analytics. Topics include but are not limited to Price Bundling, Profile Conjoint Analysis, Discrete Choice Analysis, Pay-per-Click Advertising, Principal Components Analysis, and Viral Marketing Models.

      Frequently Asked Questions

       

      Application and Admission FAQ

      What are the academic requirements for admission into the Graduate Certificate in Applied Analytics Program?

      • A minimum cumulative GPA of at least 2.75 (or 2.9 in last 60 credits) of a completed bachelor’s degree.

      How do I apply for admission?
      Interested students may apply by completing the free online application (loras.edu/apply), uploading a current resume to their personalized online Application Tracker page, and having all official transcripts sent directly from the institution to:

      Loras College Graduate Admission
      Attn: Megan Henderson
      1450 Alta Vista Street
      Dubuque, IA 52001.

      What is the application deadline?
      Fall enrollment – all materials due by August 1.
      Spring enrollment – please contact the Program Director to discuss class availability and your eligibility for a Spring start.

      Applications submitted after the deadline will be considered on an individual basis.

      Does the Graduate Certificate in Applied Analytics program require any particular undergraduate degree?
      Students are eligible for this certificate regardless of their undergraduate major. Programming knowledge/experience is not required, but familiarity with statistics is beneficial. It’s a myth that you need to be an expert in math or programming in order to effectively analyze data. Programming is useful for doing data analysis, but not necessary. Nor is it sufficient. Using data to improve decision-making requires actionable insight. This means understanding where analytics can improve decisions, obtaining the appropriate data, understanding what it does/does not measure, shaping it into an appropriate form, building useful predictive or explanatory models, and communicating the insight to multiple audiences: customers, employees, owners, communities, and beyond. Actionable insight also requires using your existing knowledge to ask the tough questions needed to move your organization or business forward. The Certificate in Applied Analytics is designed to provide and sharpen this skill-set for working professionals.

      How long will it take to receive an admission decision regarding my application?
      Immediately following receipt of all application materials, your file will be reviewed by the Program Director and you will be notified of an admission decision within one week.

      How will I be notified of the admission decision?
      You will be contacted by email once a decision has been made.

      How can I receive more information about the Graduate Certificate in Applied Analytics program?
      For more information about the Graduate Certificate in Applied Analytics program, please contact James Padilla, J.D., Francis J. Noonan School of Business Dean, at: james.padilla@loras.edu or 563.588.7405. For more information about the application and admission process, please contact Megan Henderson, Director of Admission for Graduate and Postbaccalaureate Programs, at: megan.henderson@loras.edu or 563.588.7140.

      Curriculum and Class Format FAQ

      How many credits are required in the Graduate Certificate in Applied Analytics degree?
      A total of 15 credits are needed to meet the course requirements for the Graduate Certificate in Applied Analytics.

      What is the format of the Graduate Certificate in Applied Analytics classes?
      Our program is delivered through a blend of online and classroom delivery, integrating the flexibility of online learning without losing the valuable personal interaction that a classroom provides. Students take one 7-week course at a time (and one 4-week class in January) and each class is held just one night per week. The first six weeks are delivered online in a live virtual classroom. During the final week, students come together face-to-face for a full weekend on the beautiful Loras campus in Dubuque. On campus, students will hear from engaging speakers and participate in meaningful group work.

      How long does it take to complete the program?
      The 5-course program can be completed in 9 months (September-May).

      Is there a preferred entry point into the Graduate Certificate in Applied Analytics program?
      Students begin the program in the Fall semester. An exception may be granted if the student has prior experience using predictive modeling techniques (and after discussion with the Program Director).

      Does the Graduate Certificate in Applied Analytics program accept transfer credits?
      We do not accept transfer credits into the certificate program.

      What is the time commitment outside of class?
      Time commitments vary depending on the course and individual’s specific skill set. As a general rule, students will spend 4 – 6 hours per week outside of classroom instruction on class-related work for each class.

      Where are classes held?
      The face-to-face weekend classes are held on the beautiful Loras College campus on the 3rd floor of Keane Hall.

      When do classes meet?
      Each online live class meets one evening per week, typically from 6:30pm – 8:30pm (except for the January term class, which will meet online twice per week). The face-to-face weekends typically meet on Saturday from 8am-5pm and on Sunday from 9am-5pm. For specific times and dates, see the course schedule prior to each academic semester.

      Will there be an orientation prior to the first class?
      Yes, students are required to attend the New Graduate Student Orientation prior to beginning coursework so they can become familiar with the faculty, campus, services and their peers.

      Is Loras College accredited?
      Yes, Loras College is accredited by the Higher Learning Commission of the North Central Association of Colleges and Schools.

      Financial FAQ

      What are current tuition rates for the Graduate Certificate in Applied Analytics?
      Visit the Graduate section of our Tuition & Fees page for detailed cost information.

      Tuition and Fees are subject to change at any time.

      Is financial aid available?
      Federal aid is not available for the Graduate Certificate in Applied Analytics.

      Tuition & Fees

      Graduate Certificate in Applied Analytics Program Cost

      Employer Reimbursement

      • The Employer Reimbursement Form must be completed.
      • Students are responsible for providing the course information, final grades, and billing information to their employer to obtain the reimbursement.
      • If the employer reimbursement criteria is not met and/or reimbursement is denied, the student must bring their account current before any future registration will be permitted.

      Feel free to contact us if you have Billing Questions

      Tuition and Fees are subject to change at any time.

      Straight Talk from a Duhawk

      The utilization of data analytics helps us monitor the vital signs of the organization, to ensure it is operating healthy. In addition, the internal transparency and visibility of the performance of the organization helps with problem-solving, creates higher engagement levels among the employees, and has increased retention levels of our employees.

      Brad Pinchuk, President and CEO,
      Hirschbach

      Straight Talk from a Duhawk

      "Has increased retention levels of our employees"

      Read More

      Straight Talk from a Duhawk

      Companies of all sizes are leveraging the power of intelligence from data, adding new value to their organizations. The applied analytics and machine learning offerings at Loras continue to raise the bar each year. Loras offers exceptional course content from professors with relevant industry experience. The cohort format enables strong networking relationships, while single course focus and less than one-year timeline are ideal for working professionals.

      Joni Wallace, Associate Director of Artificial Intelligence, Collins Aerospace

      Straight Talk from a Duhawk

      "Offerings at Loras continue to raise the bar each year. Single course focus and less than one-year timeline are ideal for working professionals."

      Read More