Get Your

Executive MBA

in Business Analytics

Executive MBA in Business Analytics

This degree program is designed for the business professional that seeks the master’s level content knowledge associated with a MBA but also a deeper knowledge of business analytics. Through this program, students learn data-driven approaches to business solutions, analyze past and present performance, and improve business outcomes (skills that can have an immediate positive impact at a place of employment).

FLEXIBLE & CONVENIENT
The unique hybrid format offers the flexibility of online learning with face-to-face interaction on the Loras College campus. In this cohort model, students take one 7-week course at a time and each class is held just one night per week. The first six weeks of each course are delivered online in the evening via a live virtual classroom. The last week of the course has students come together for a full weekend on the beautiful Loras campus in Dubuque, Iowa. This is a 36 credit program and can be completed in two years.

BENEFITS
The program has been shaped by a distinctive consortium of leaders in analytics. Loras has established a rich network within the field, and offers unique features tailored to meet the needs of working professionals and new graduate students.Perhaps the most unique aspect of the program is our liberal arts focus. This focus infuses the ethical decision-making values taught through our College’s Catholic tradition, an area too easily overlooked by other programs, with the science of data analytics.

REPUTATION OF EXCELLENCE
In the United States, opportunities to master business analytics tie primarily on both coasts, while Loras College leads the Midwest with the only program offering an Executive MBA in this rapidly expanding area of business.

In addition, our unique bundled (fixed) tuition and fees rate is one of the most affordable among all graduate analytics programs in the region.

STUDENT PERSPECTIVES

Jenna Gacioch, AE Coordinator – John Deere Enterprise Supply Management

Keith Chaston, Information Technology Operations Supervisor – Dupaco Community Credit Union

Joni Wallace, Pr. Manager, Analytics and Data Science – Rockwell Collins, Inc.

Application Requirements

Executive MBA in Business Analytics Program Application Checklist (Degree Seeking Student)

  • Online Graduate Program application: loras.edu/apply
  • 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” will not be considered official. Faxed and copied transcripts will not be considered official.)
    • A minimum cumulative GPA of at least 2.75 is required for admission.
  • Applicant statement: a typewritten statement outlining your interests and professional goals. This statement is an integral part of your application (maximum of 2-3 pages double spaced).
  • Current resume or vitae.
    • Relevant work experience is required for admission.
  • Two (2) letters of recommendation: the letters need to be from individuals who can speak to the applicant’s character, academic capability, and motivation/interest exhibited in obtaining an advanced degree in this field.

Materials may be sent to:
Applicant statement, resume, and letters of recommendation can be emailed to megan.henderson@loras.edu.

All official transcripts can be mailed to:
Loras College Graduate Admission
Attn: Megan Henderson
1450 Alta Vista Street
Dubuque, IA 52001

Application deadlines:
Fall enrollment – all materials due by August 1
Applications submitted after the deadline will be considered on an individual basis.

We encourage students to begin the program in the Fall semester because the sequence of courses in our cohort format is specifically set up to enable students to immediately use robust analytical tools before any programming is encountered. However, applicants wishing to start in the Spring term could be accommodated if they have a solid background in programming (because the first course in the Spring term is Programming for Analytics Methods). If you think you may fit this criteria and are interested in a spring start, please contact the Program Director to discuss your options.

Interview and Admission Decision:
Immediately following receipt of all application materials, your file will be reviewed by the Program Director to determine whether to move forward with an interview. You will then be contacted with information about your next steps. After completion of your interview (or after review of your file), you will be notified of an admission decision via email.

International Student Application Requirements

Course Requirements, Rotation & Descriptions

The Loras College Executive MBA is delivered in a new hybrid format!

Each course in the program is delivered partially online in a live virtual classroom (broadband connection, microphone and headset required) and only one weekend on campus in a classroom. This hybrid format combines the flexibility an online education provides along with the personal interaction a classroom setting provides. Courses are project-based with continuity mimicking the business analytics process: defining (and redefining) the business problem, acquiring and preparing data, visualizations for insights, conducting sophisticated data modeling, communicating results on the analyses, and implementing data analytics in organizational processes.

The executive MBA is comprised of 36 credits. Students progress through the program as a cohort and complete their degree within two years. Students find the immediate applicability of the coursework to be an advantage.

L.MBA 509 Big Data Ecosystem*
L.MBA 515  Ethical & Social Responsibilities of Business*
L.MBA 520 Data Science*
L.MBA 530 Programming for Analytic Methods*
L.MBA 550 Data Visualization*
L.MBA 560 Marketing Analytics
L.MBA 525 Managerial Economic Analysis
L.MBA-512 Business Strategy for Analytics
L.MBA 540 Machine Intelligence
L.MBA 555 Financial Management
L.MBA 571 Risk Analysis
L.MBA 581 Capstone Project

* The first five courses of the Executive MBA comprise a Graduate Certificate in Business Analysis.

COURSE ROTATION

Cohort beginning in Fall 2018:

Semester Course Number Course Title

Credits

Online Classes Weekend Classes Instructor
2018 Fall 1 MBA 550 Data Visualization

3

Tuesdays 6:30 – 8:30 PM online: Sept 18, Sept 25, Oct 2, Oct 9, Oct 16, Oct 23 Sept 8-9 Lehman
2018 Fall 2 MBA 520 Data Science

3

Tuesdays 6:30 – 8:30 PM online: Oct 30, Nov 6, Nov 13, Nov 20, Nov 27, Dec 4 Dec 8-9 Lehman
2019 Spring 1 MBA 530 Analytics Methods

3

Tuesdays 6:30 – 8:30 PM online: Jan 29, Feb 5, Feb 12, Feb 19, Feb 26, March 5 March 9-10 Acharya
2019 Spring 2 MBA 509 Big Data Ecosystem

3

Tuesdays 6:30 – 8:30 PM online: Mar 19, Mar 26, Apr 2, Apr 9, Apr 23, Apr 30 May 4-5 Engler
2019 Summer 1 MBA 515 Ethical & Social Responsibilities of Business

3

Tuesdays 6:30 – 8:30 PM online: May 21, May 28, June 4, June 11, June 18, June 25 June 29-30 Ciapolo
2019 Summer 2 MBA 560 Marketing Analytics

3

Tuesdays 6:30 – 8:30 PM online: July 9, July 16, July 23, July 30, Aug 6, Aug 13 August 24-25 Glathar
2019 Fall 1 MBA 512 Business Strategy for Analytics

3

Tuesdays 6:30-8:30 PM online: Sep 10, Sep 17, Sep 24, Oct 1, Oct 8, Oct 15 Oct 19-20  TBD
2019 Fall 2 MBA 555 Financial Management

3

Tuesdays 6:30-8:30 PM online: Oct 22, Oct 29, Nov 5, Nov 12, Nov 19, Dec 3 Dec 7-8  TBD
2020 Spring 1 MBA 540 Machine Intelligence

3

Tuesdays 6:30-8:30 PM online: Feb 4, Feb 11, Feb 18, Feb 25, Mar 3, Mar 10 March 14-15  TBD
2020 Spring 2 MBA 571 Risk Analysis

3

Tuesdays 6:30-8:30 PM online: Mar 24, Mar 31, April 14, April 21, April 28, May 5 May 9-10  TBD
2020 Summer 1 MBA 525 Managerial Economics

3

Tuesdays 6:30-8:30 PM online: May 19, Jun 2, Jun 9, Jun 16, Jun 23, Jun 30 July 11-12  TBD
2020 Summer 2 MBA 581 Capstone Project

3

Tuesdays 6:30-8:30 PM online: Jul 21, Jul 28, Aug 4, Aug 11, Aug 18, Aug 25 Aug 29-30  TBD

 

Note: We offer a Graduate Certificate in Business Analytics which is comprised of the first 5 of these courses.

COURSE DESCRIPTIONS
L.MBA 509 Big Data Ecosystem*
This course examines the data management process from access to data sources through implementation of scalable processes.  Big data requires understanding database design, and increasingly involves parallel processing and cloud-based data storage and analysis.  Data formats and database architectures are examined.  Tools for extracting data from relational, structured, and non-structured databases are explored.  Included are issues related to data security and governance.  Students will also learn how to evaluate technologies used to implement scalable decision analytic systems. 3 credits

L.MBA 550 Data Visualization*
Data/Information visualization is widely used in a number of industries, including business, engineering, and media disciplines to help people analyze and understand what the data is telling us. The industry has grown exponentially over the last few years, and as a result there are more tools available to help us quickly and efficiently create compelling visualizations. 3 credits

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.  Our labs will focus on practical introductions to tools and frameworks, with plenty of time to explore & utilize additional applications. We will discuss existing visualizations (e.g. what we find in various publications and government data sources) and critique their effectiveness in conveying information.  All students are expected to participate in class discussion, complete lab assignments, and create & critique many data visualization examples throughout the session. 3 credits

L.MBA 520 Data Science*
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 proceed to cover practical data analytic skills including accessing and transferring data (ETL – extract, transform, load), applying analytical frameworks or patterns, applying methods from data mining and machine learning, and learning analysis methods for processing text.  The course will also provide students an opportunity to do hands-on exercises with Big Data.  The emphasis will be on practical usefulness and analytics patterns. 3 credits

L.MBA 530 Programming for Analytic Methods*
Business Analytics is the process of transforming data into business value. The Data Science course explores a variety of analytical methods for building models (predictive or explanatory). This course will focus on programming languages used for accessing, analyzing, and implementing such models. While many software platforms are available to automate various parts of this process, programming languages are commonly used – primarily R and Python at present. This course exposes students to the use of these languages, focusing on their use for accessing an cleaning data sources and implementing models in a production environment. The subsequent course (Big Data Ecosystem) utilizes these languages for an understanding of the entire process of Business Analytics. While some students may develop a proficiency with coding in these programming languages, the purpose of the course is to provide sufficient exposure to the use of these languages for making business decisions regarding choices of software, human resources, and organizational structures necessary for developing Business Analytics efforts.

L.MBA 515 Ethical and Social Responsibilities of Business*
This course consists of two parts.  In the first, relatively brief part, we examine the ethical principles and theories that are relevant to resolving any moral issue.  In the second part, we apply these principles and theories to the key moral issues in business (with emphasis, where appropriate and relevant, on questions dealing with data/information acquisition, analysis, and application) by studying, discussing, and debating them, principally through a case-study approach. The focus of our attention is on the three basic kinds of moral relationships in business: a) between the firm and the employee; b) between the firm and other economic agents (i.e., customers, competitors); and c) between the firm and various non-business groups (i.e., the environment). 3 credits

L.MBA 560 Marketing Analytics
Marketing remains a branch of business as well as a social science, and is often characterized by product, place, promotion, and price, and has been extended in many contexts to include people, packaging, and positioning.  Each of these is a candidate for improvement through the use of analytics.  In Marketing Analytics, we consider the analytics of:

  1. Pricing, Forecasting Sales
  2. Understanding Customer Demand
  3. Customer Value
  4. Market Segmentation
  5. Retailing
  6. Advertising
  7. Market Research Tools
  8. Internet and Social Marketing.

Topics include but are not limited to Price Bundling, Willingness to Pay, Profile Conjoint Analysis, Discrete Choice Analysis, Value Templates, Clustering and Collaborative Filtering, Bass Diffusion Models, Market Basket Analysis, Pay-per-Click Advertising, Principal Components Analysis, Measuring Nodes and Links, Network Contagion, and Viral Marketing Models. 3 credits

L.MBA 512  Business Strategy for Analytics
This course examines how analytics can be applied in various parts of the value chain.   Students, working in teams, select an industry or canonical company and identify how analytics can be applied in various parts of its value chain.  From this, they map out drivers of analytics value in the industry, and identify examples of analytics across functional areas or – ideally – segments of the value chain, for different users and with different time frames, e.g. smaller-data, more synthetic, strategic decisions for executives, down to real-time predictive analytics embedded in operational systems.  Students will also examine how different functional managers (e.g., CFO, CTO, etc.) would view analytics decisions. 3 credits
*The former Business Analytics Overview Online Certificate will count in place of the L.MBA 512 course.

L.MBA 525 Managerial Economic Analysis
In this course, students will build on the basic undergraduate microeconomic framework by application and evaluation of theoretical models of decision making specifically related to business operations.  Managerial economic analysis will proceed by covering practical microeconomic skills including supply and demand theory, consumer theory, cost analysis, market structures, regulation, and forecasting economic models.  Exploration of these models will include derivation and application geared toward scenarios applicable from a managerial perspective. The course will also provide students an opportunity to do hands-on exercises with data to aid in application and interpretation of data in a microeconomic framework to comprehend and interpret consumer behavior and influence appropriate decision making within business settings. 3 credits

L.MBA 540  Machine Intelligence
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, and a variety of applications that increasingly are part of everyday life.  Often referred to as “artificial intelligence,” this course goes further to explore techniques (such as recurrent neural networks and deep learning) which automate the ability of computers to recognize and identify patterns and learn from these.  These techniques are scalable in ways that provide automatic implementation – ranging from web search algorithms to intelligent agents to self-driving cars.  This course will provide hands-on experience building such systems, but with the focus on understanding the implications for business.  Students will gain an appreciation for the scope of potential applications, the limits of machine intelligence, ethical aspects of their use, and disruptive tendencies of these technologies. 3 credits

L.MBA 555 Financial Management
The objective of this course is to help students understand financial decision making and modeling and how these are impacted by real world uncertainty. To achieve this, students will review basic financial concepts and then work on applying them through case studies and a course project. This is all done in the context of the need for socially responsible decisions to be made with all stakeholders in mind. Students will also learn about a variety of financial regulations and why they have been put in place. 

Through the use of case studies and using Microsoft Excel, students will apply financial concepts to evaluate and analyze decisions that businesses make. To understand how financial decisions are made, students will create their own financial projections for a company and experience how financial decision making is impacted by the assumptions that go into the financial model. Financial concepts will include: current financial statement analysis and how to forecast future financial statements; capital budgeting; the cost of capital; financing operations; and risk management. 3 credits

L.MBA 571 Risk Analysis
An important part of business planning is identification, analysis, and management of risk.  This 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. 3 credits

L.MBA 581 Capstone Project
The goal of this course is to have students complete a data project (generally in groups) of a complex nature.  This includes obtaining and cleaning relevant data, conducting appropriate analysis and communications of findings, and planning implementation of organizational processes that utilize the results of the project.  Projects may come from students’ work environment, Center for Business Analytics sponsored projects, or other timely data projects that may arise at appropriate times. 3 credits

Frequently Asked Questions

Application and Admission FAQ

What are the academic requirements for admission into the Executive MBA in Business Analytics Program?

  • A minimum cumulative GPA of at least 2.75 (or 2.9 in last 60 credits)
  • Relevant work experience is required for admission.

How do I apply for admission?
Interested applicants may apply by completing the online application and mailing all official transcripts to:
Loras College Graduate Admission
Attn: Megan Henderson
1450 Alta Vista Street
Dubuque, IA 52001

The resume, personal statement, and 2 letters of recommendation can be emailed directly to: megan.henderson@loras.edu.

What are the application deadlines?
Fall enrollment – all materials due by August 1

Applications submitted after these deadlines will be considered on an individual basis.

Does the Executive MBA in Business Analytics program require an undergraduate degree in business?
Full admission into the program requires that applicants have a familiarity with concepts in the areas of economics, accounting, finance, management and marketing. Applicants with an undergraduate business degree will generally meet these requirements. The academic readiness of an applicant who does not hold an undergraduate degree in a business field will be determined through an interview process, including a review of professional work experience, and in some cases, completion of business competency exams. Students who do not fully meet with academic readiness requirements for the program may be admitted on a provisional basis.

How long will it take to receive a decision regarding my application?
Immediately following receipt of all application materials, your file will be reviewed by the Program Director to determine whether to move forward with an interview.  You will then be contacted with information about your next steps. After completion of your interview (or after review of your file), you will be notified of an admission decision via email within one week .

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

Can I take some courses as a non-degree student?
Yes, individuals who would like to take some graduate classes for professional development, continuing education credits, or just personal enrichment may take up to 9 graduate credits as a non-degree (“Special”) student.

In order to enroll in the course(s), students must complete the standard online application (select “Graduate Non-Degree” as the Admit Type), and email unofficial copies of transcripts from each institution attended to: megan.henderson@loras.edu. The transcripts will then be evaluated by the Program Director to ensure that any necessary pre-requisite course requirements have been met. (Please note that enrolled degree-seeking students have registration preference if a course is full.)

After the completion of 9 non-degree credits, a student must then apply for formal admission into the program in order to move forward and take additional courses.

Graduate courses completed by a “Special” student with a grade of B or better may be applied to a future graduate degree at Loras College with the approval of both the Program Director and the Academic Dean.

Financial aid is not available to non-degree “Special” students.

How can I receive more information about the Executive MBA in Business Analytics program?
For more information about the application and admission process, please contact Megan Henderson: Associate Director of Admission for Graduate Programs, at megan.henderson@loras.edu or 563.588.7140. For more information about the Executive MBA curriculum, please contact Dr. Dale Lehman: Program Director, at dale.lehman@loras.edu.

Curriculum and Class Format FAQ

How many credits are required in the Executive MBA in Business Analytics degree?
36 credits are needed to meet the course requirements for the Executive MBA in Business Analytics.

What is the format of the Executive MBA in Business Analytics classes?
The unique hybrid format offers the flexibility of online learning with face-to-face interaction on the Loras College campus. In this cohort model, students take one course at a time and each class is held just one night per week. The first six weeks of each course are delivered online in the evening via a live virtual classroom. The last week of the course has students come together for a full weekend on the beautiful Loras campus in Dubuque, Iowa.

Is there a preferred entry point into the Executive MBA in Business Analytics program?
We encourage students to begin the program in the Fall semester because the sequence of courses in our cohort format is specifically set up to enable students to immediately use robust analytical tools before any programming is encountered. However, applicants wishing to start in the Spring term could be accommodated if they have a solid background in programming (because the first course in the Spring term is Programming for Analytics Methods). If you think you may fit this criteria and are interested in a spring start, please contact the Program Director to discuss your options.

Does the Executive MBA in Business Analytics program accept transfer credits?
Students can transfer a maximum of 9 graduate credits from a previous institution. The courses must be similar in content to coursework offered at Loras and approved by the Program Director.

If I have taken the prior Business Analytics Overview online certificate, will that count for credit toward this Executive MBA program?
Yes, the BAO certificate will count in place of the MBA 512 course in the Executive MBA program.

How long does it take to complete the program?
Our Executive MBA in Business Analytics program offers working professionals a cohort model of study. Most students complete the program within 2 years. Please note: students have up to 7 years to complete the program.

What benefits are available to alumni of the program?
As a professional development opportunity, all graduates are eligible for 50% discounts to take or re-take any courses in the program (on a space available basis) at any time. Please contact the Program Director for more information.

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. 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 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 the current tuition rates for the  Executive MBA in Business Analytics program?
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?
Students wishing to obtain a Federal Direct Unsubsidized Loan must complete the current year FAFSA (Free Application for Federal Student Aid) and take at least 3 credits per term. Please contact Julie Dunn, director of financial planning at 563.588.7585 or julie.dunn@loras.edu for more information.

Loras College does not offer institutional scholarships for graduate students at this time.

Tuition and Fees

2018-2019 Executive MBA 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.

Federal Loan Options

  • Students wishing to obtain a Federal Direct Unsubsidized Loan must complete the current year FAFSA (Free Application for Federal Student Aid) and take at least 3 credits per term.
  • The loan will disburse directly to the school to cover the cost of the term.
  • Graduate students are eligible for $20,500 in loan funds for each academic year.
  • The Loras College academic year runs from Summer – Spring (i.e. Summer 2017 – Spring 2018)

Contact us if you have additional Billing and Financial Aid Questions

Tuition and Fees are subject to change at any time.

Analytics Networking Opportunities

The Dubuque Analytics Club meets monthly (first Wednesday of each month).  Information at  Dubuque Analytics Club MeetUp.

Check out these other data science organizations throughout the region:

http://www.meetup.com/Data-Science-Madison/
http://www.meetup.com/BigDataMadison/
http://www.meetup.com/Data-Science-Chicago/

Words Worth Reading

Straight talk about big data

The revolution isn’t coming—it’s already under way! Transforming analytics from a “science-fair project” to the core of a business model starts with leadership from the top. Here are five questions CEOs should be asking their executive teams.
read full article

Paying for That Employee’s Class? Ask for a Mini Proposal First.

Peter Devries: entrepreneur.com
Researchers found that 70 percent of business leaders said employees need continuous learning just to keep up with their jobs. They also found that 95 percent of businesses had systems in place to financially support an employee’s continuing education.
read full article

 

Is Innovation in Advanced AI the Apocalypse?

Top executives of tech giants including Bill Gates, Elon Musk and Steve Wozniak, have similar predictions on AI. Yet, billions of dollars are invested in AI research. And tremendous advances are being made.
read full article

The age of analytics: Competing in a data-driven world

The McKinsey Global Institute (MGI): mckinsey.com
Big data’s potential just keeps growing. Taking full advantage means companies must incorporate analytics into their strategic vision and use it to make better, faster decisions.  read full article

Debate Fact Checking:  If you are a Data Analyst, It’s Just What You Do

Dale Lehman, Center for Business Analytics
The democratic presidential debate from Milwaukee, struck me disturbing statistically by both candidates. Read full article

Straight Talk from a Duhawk

“The primary goal of the MBA program is to increase the business analysis skills of the next generation of leaders.  Working with industry partners there are great opportunities for bringing practitioners to campus, developing thought leadership programs to attract new students and creating project-based internship opportunities for existing students.”

– Rich Clayton (’87)
Vice President of Marketing Business Analytics Global Business Unit, Oracle Corporation

Straight Talk from a Duhawk

"Working with industry partners there are great opportunities for bringing practitioners to campus, developing thought leadership programs."

Meet Rich Clayton ('87)
Straight Talk from a Duhawk


“I have been involved with family businesses all my life, working from a financial analysis perspective, and I was intrigued by the idea of deeper and richer analytics methods. The faculty, as always at Loras, is what makes the program a success. The program is worth every penny, all the time spent in and out of classes, all the work and all the sacrifices.”

– Tom Gantz (’92, ’15), Entrepreneur, Dubuque, IA

Straight Talk from a Duhawk

"The program is worth every penny."

Meet Tom Gantz ('92, '15)
Executive MBA Program Faculty

Dale Lehman, Ph.D.
Center for Business Analytics Director
Professor of Business
Dale.Lehman@loras.edu
563.588.7725
Curriculum Vitae

Dale Lehman has a Ph.D. in Economics from the University of Rochester. He has taught at a dozen universities and was Director of the MBA programs at Alaska Pacific University. He has also held industry positions at Bell Communications Research and SBC. He teaches in a number of specialized MBA programs in Europe.

Dale’s interests are in applied data analysis. This includes visualization of patterns in data, analysis that highlights meaningful stories hidden within data, and replication/validation of data analysis. He is particularly interested in applications of data analysis to problems related to health care, natural resources, telecommunications and information, and finance.

Dale has co-authored three books and numerous articles. He enjoys hiking, cross-country skiing, golf, travel, and teaching at small private universities.

Shikhar Acharya, Ph.D., MBA
Assistant Professor of Business Analytics at Loras College
shikhar.acharya@loras.edu
563.588.7784

Shikhar Acharya is working as Assistant Professor of Business Analytics at Loras College, Dubuque, Iowa since Fall 2017. He teaches various analytics courses both at undergraduate and graduate level. Some of the courses he is teaching are Applied Analytics, Predictive Modeling, Programming for Analytic Methods, etc. He worked as Visiting Instructor at the Department of Industrial and Management Systems Engineering, University of South Florida from Fall 2015 to Summer 2017. Before joining USF, he taught at Missouri Western State University as Assistant Professor of Business Statistics in Spring 2015.

His primary research is in the area of detection of malicious devices applying various machine learning algorithms and statistical methods. He has peer reviewed publications in this area and has presented his work in various conferences and forums. He received his Ph.D. in Systems Engineering from Missouri University of Science and Technology, Rolla, Missouri. He also holds an MBA degree.

Roman Ciapalo, Ph.D.
Professor of Philosophy
Andrew P. Studdert Chair of Business Ethics and Crisis Leadership
roman.ciapalo@loras.edu
563.588.7434

Roman T. Ciapalo, Ph.D. currently holds the Andrew P. Studdert Chair of Business Ethics and Crisis Leadership and teaches a variety of undergraduate ethics courses (business ethics, environmental ethics, ethics in sports, media communication ethics), the ethics course in the Executive MBA Program (Ethical and Social Responsibilities of Business), and coordinates the Loras Executive-In-Residence Program, as well as the Andrew P. Studdert Business Ethics and Crisis Leadership Lecture Series.  He also serves as faculty advisor to the Loras Hockey Club. His academic expertise includes, in addition to the above-mentioned areas, Ancient philosophy (especially the thought of the Presocratics, Plato, and Plotinus), Contemporary philosophy (especially the thought of Jean-Paul Sartre and William James).  His research interests include the philosophy of Gregory Skovoroda (18th century Ukrainian philosopher) and the intersection of Catholic Social Teaching with issues in sports and athletics.  He has published one book and several articles, and has served as translator/editor of Ukrainian-language translations of two business ethics textbooks. He is the recipient of two Fulbright Scholar awards, one of which blossomed into the opportunity to teach business ethics in two MBA programs in Ukraine (Lviv Institute of Management and National University Kiev-Mohyla Academy) during most summers since 1994.  He was also the recipient of a Muskie Mentor/Advisor Exchange Program grant in 2014 to travel to National University Kiev-Mohyla Academy in Ukraine in order to give a series of lecture on environmental ethics.

Earlier in his career, he established, and for over two decades (1990-2012), served as coordinator of the Loras College Classical Philosophy Lecture Series, which, each semester, brought a noted philosopher to campus over a two-day period to give a public lecture and several in-class lecture/discussions, and meet with philosophy majors and faculty. He urges his students to see philosophy as a way of life to be pursued with rigor and passion, rather than merely an academic discipline to be studied, and to employ it in their search for meaning and purpose in their lives.

Robert Keller, Ph.D., MBA
Professor of Mathematics at Loras College
Chair, Division of Mathematics, Engineering, and Computer Science
robert.keller@loras.edu
563.588.7015

Robert Keller, Ph.D., MBA received his doctorate from the University of North Carolina at Chapel Hill in Mathematics and recently completed the Executive MBA program at Loras College.

Dr. Keller’s interests have always centered on the application and real-world relevancy of mathematics and statistics within a collaborative work setting. His dissertation involved the application of theoretical mathematics to a general problem in medical image analysis in a joint effort between researchers at UNC Hospitals and the computer science and mathematics graduate programs. Dr. Keller has taught mathematics and education classes at Loras College and, for many years, has led STEM professional development for practicing K-12 teachers. He has served in leadership positions at both Loras and Grand View University. Over the past several years, Dr. Keller has become increasingly captivated by analytics, which derives substantial power as it draws upon mathematics, statistics, and advances in computing to enable deep analysis and predictive insights to inform decision-making in a wide variety of complex and data-rich contexts, including business, industry, sports, and education.

Kerry Berlet, Ph.D.
Senior Director of Advanced Analytics at Meredith Corporation

Kerry has 21 years of analytical experience within the Media Industry. She currently leads a team of market research professionals, statisticians, and data scientists within Meredith Corporation, located both within the U.S., and offshore in Bangalore, India. Her team is focused on providing strategic direction and feedback based on data driven insights for all aspects of the magazine business.  Kerry holds a PhD in Measurement, Evaluation, and Statistics from Columbia University, and also moonlights as a graduate school statistics professor there in addition to teaching Marketing Analytics for the Loras College Executive MBA program.

John Watts, Ph.D.
Chief Research and Strategy Officer at Unison

John Watts is a business strategy expert with 20 years’ experience.  His specialty is in taking a “Design for Decision” approach which ensures that economics and business intelligence tools directly connect to executive decisions. John serves as Chief Research and Strategy Officer for Unison, which provides advisory services on marketing strategy and resource allocation, and as an independent consultant.  His past work includes senior roles with Havas Health, FTI Consulting, PRTM and Opinion Research Corporation. Earlier, his “first career” was in academia, with tenure track roles at Chicago Booth and Purdue.  He continues to serve Chicago Booth as coach to Kilts Center Teams in the New Product Development and Marketing Strategy Labs. He has worked across industries, developing strategic recommendations using tools which include segmentation, product development and pricing, scenario planning, customer experience, corporate reputation and brand. His most recent work is in life sciences (healthcare delivery, pharma and medical devices), high tech, and innovation / adoption across industries, and direct CMO advisory in automotive.

John holds Ph.D. and MS degrees from Carnegie-Mellon University.

Brent Wilke, MS
Data Management Director, AVP at Heartland Financial, Inc.

Brent Wilke has over 25 years of experience in Information Technology with the last 15 years in some form of Analytics/Data Warehousing.   Brent has been in a leadership role in creating three healthcare data warehouses, one financial data warehouse, and a number of advanced analytic environments.   He has had experience across North America in such lines of business as Healthcare; Health, Life, and Auto Insurance; Banking and Finance; and Retail.   He has lead teams supporting such areas as Business Intelligence, Data Transformation, Advanced Analytics, and Predictive Modeling.   Brent currently is the Data Management Director for a Financial Holding company, is a former Naval Officer, and an active member of the US Lacrosse Organization.