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Master’s & Ph.D. Advising

Contacts by program

Advisors/Graduate Program Directors by Program

M.S. in Accounting
Michael Jung, 221 Purnell Hall, mjung@udel.edu

M.S. in Accounting Practice
Michael Jung, 221 Purnell Hall, mjung@udel.edu

M.S. in Business Analytics and Information Management
Andrea Everard, 226 Purnell Hall, aeverard@udel.edu

M.A. in Economics and Entrepreneurship for Educators
Carlos Asarta, 521 FinTech Innovation Hub, asarta@udel.edu

M.S. and Ph.D. in Economics
Sabrin Beg, 452 Purnell Hall, sbeg@udel.edu

M.S. in Finance
Terry Campbell, 311 Purnell Hall, campbelt@udel.edu

M.S. in Hospitality Business Management
Timothy Webb, 204 Raub Hall, twebb@udel.edu

M.S. in International Business
Kurt Norder, 234 Alfred Lerner Hall, norder@udel.edu

Ph.D. in Financial Services Analytics
Bintong Chen, 358 Purnell Hall, bchen@udel.edu

Ph.D. in Hospitality Business Analytics
Timothy Webb, 204 Raub Hall, twebb@udel.edu

Graduate Program Administrative Assistants

M.S. in Accounting
Sarah Dix, sarahdix@udel.edu

M.S. in Accounting and 4+1
Sarah Dix, sarahdix@udel.edu

M.S. in Accounting Practice
Shabbir Wardhawala, shab@udel.edu

M.S. in Business Analytics and Information Management
Sarah Dix, sarahdix@udel.edu

M.S. in Business Analytics and Information Management and 4+1
Sarah Dix, sarahdix@udel.edu

M.S. and Ph.D. in Economics
Kelly Chan, kellyc@udel.edu

M.A. in Economics and Entrepreneurship for Educators
Jennifer Magaw, jmagaw@udel.edu

M.S. in Finance
Academic Program Manager, ms-finance@udel.edu

Ph.D. in Financial Services Analytics
Kelly Chan, kellyc@udel.edu

M.S. in Hospitality Business Management
Jennifer Riegner, jriegner@udel.edu

Ph.D. in Hospitality Business Analytics
Jennifer Riegner, jriegner@udel.edu

Advising Information by Program

BAIM advising

M.S. BAIM Program Director, Academic Advisor

Andrea Everard
Contact: aeverard@udel.edu

M.S. BAIM Graduate Coordinator

Sarah Dix
Contact: sarahdix@udel.edu

To contact Sarah Dix, please use email for maximum clarity and a record of the conversation details. Provide your correctly spelled name and SID# so your information can be looked up on UDSIS.

Degree Checklist

The courses required for the M.S. in BAIM are listed on the Lerner website: https://lerner.udel.edu/programs/masters-programs/business-analytics-and-information-management-ms/

Course descriptions
Look up a brief description for any UD class. Graduate-level classes start at the 600-level. Academic/University Breadth Requirements are only for undergraduate classes.

About Grades

See the University catalog for the complete set of grading policies. Below are the issues that come up most often.

The University of Delaware runs on a 4.0 scale. Graduate students must maintain a 3.0 Grade Point Index (commonly referred to as a GPA) to remain in good standing. Remember that the GPA is an average of your grades. A grade of C in one class may be offset by a grade of A in another.

Only graded, graduate-level classes with grades of C- or better count toward your degree. If you receive a D+ or lower in a Core/Required class, you must repeat (and pay for) the course until you pass. If you receive a grade of D+ or lower in an elective course, you do not have to repeat it, although you must make up the credits via another graded elective.
In order to graduate, you must have completed 30 graded credits (9 core/21 electives) with a final GPA of 3.0 or higher.

Disputing a Grade

First, being polite and professional at all times only helps the situation. Prepare your argument and then state your case.

Review the syllabus and calculate your grades based on the weights listed. Go as far as you can, then contact the professor to see where the grades differ. Politely inquire to make sure it is not a clerical error. A calm conversation focused on the numbers will keep it moving forward.

Remember that grades can be changed by the issuing professor at any time until your transcript is closed at degree conferral. If the disputed grade is in your final semester class, then you do have a time limit and need to visit with the professor sooner rather than later.

Please note that we do not get involved except in extenuating circumstances (car accidents, medical emergencies, etc.). The dispute process stays between the student and the professor issuing the grade.

Special Advising Requests

Please allow a minimum of 2 business days (more during the first/last two weeks of a semester/session) for us to deliver the following correspondence.
International Students Reduced Enrollment Form
Find this form at ISSS. It is used if you need only 1 or 2 classes in your final semester. We need to review and sign prior to the last day of Drop/Add for the respective semester.
Letters of Recommendation
We suggest that you contact a professor from a class you enjoyed or did well in. Your professors have observed your group work, leadership and class participation.
Degree Letters
These are issued by the Office of Graduate & Professional Education once your degree has been cleared and conferred, usually 3-4 weeks after your final semester/session concludes.

Assistance for BAIM students

Need help? Let us do it for you. Send a concise email message to Sarah Dix at sarahdix@udel.edu with your full legal name, SID#, and the class/es you want to register for or withdraw from. If you are getting an error code in UDSIS, give us some information so we can address the issue.

If you need to take a fall or spring semester off for any reason (an illness, relocation, job situation, wedding, etc.) let us know. Email your full legal name and SID# to sarahdix@udel.edu to request a leave. A Leave of Absence (LOA) does not affect your GPA and there is no fee for this status.

Economics advising

Economics Handbook and Policies

Graduate Economics Programs Handbook (PDF)
Ph.D. in Economics Program Policy Statement (PDF)
M.S. in Economics and Applied Econometrics Program Policy Statement (PDF)

Economics Exam Schedules, Ph.D. Program

A student has a maximum of two attempts to pass each of the comprehensive examinations. If necessary, an examination must be retaken the first time the examination is offered. A missed attempt reduces the number of available attempts.

Ph.D. Qualifying examinations will be administered according to the following schedule:

  • Microeconomics – 3rd Friday in June
  • Microeconomics retake – 2nd Friday in August
  • Macroeconomics – 4th Friday in June
  • Macroeconomics retake – 3rd Friday in August

FSAN advising

Qualifying Examination

The qualifying written exam, taken at the end of your first year, is based on the program’s core curriculum courses. You will receive a Pass or Fail grade for each of the six subjects in the qualifying examination.

  • If you have received more than one grade of C or below in the core curriculum courses, you are ineligible to take the qualifying exam.
  • If you have received a C or below in one course, you must pass all six subjects of the qualifying exam in order to advance in the program.
  • If you have not received any grade of C or below in the core curriculum courses, you must pass five out of six subjects on the exam.

You may retake the exam in the subject(s) in which you receive less than a passing grade if you have passed three or more subjects in the first attempt. Qualifying examinations are offered in the summer, and the retake exam is scheduled in December of the following fall semester.

A summer research paper is also required, as part of the qualifying exam. This paper is due by the end of your third semester.

Dissertation Committee

After you pass the qualifying exam and no later than the end of your second year of study, you will establish a dissertation committee of at least four faculty members. You will consult with your dissertation committee to develop your customized program of study.

Candidacy Requirements

You must complete the Ph.D. candidacy requirements by the end of your third year. You will submit a formal, detailed research project proposal to your dissertation committee and give an oral defense.

Upon the recommendation of the dissertation committee, you may be admitted to candidacy for the Ph.D. degree.

Requirements for admission to doctoral candidacy:

  1. Complete at least one academic year of full-time graduate study in residence at the University of Delaware.
  2. Pass the qualifying exam.
  3. Demonstrate the ability to perform research.
  4. Have a research project accepted by the dissertation committee.

Written Dissertation and Oral Defense Requirements

The dissertation requirements involve the approval of your written dissertation and an oral defense. Your dissertation must have application and interest to cutting-edge practices in FSAN and must also be published.

The oral presentation is open to the public and all members of the FSAN program.

FSAN Elective Courses List

FSAN 817/ELEG 817 – Large Scale Machine Learning
MISY 831/FSAN 831 – Enterprise Information Systems
ACCT 625 – Financial Statement Analysis
ACCT 804 – Database Design and Implementation
ACCT 806 – Object Oriented Systems Analysis, Design and Implementation
ACCT 817 – Information Technologies Audit
APEC 802 – Operations Research Applications
APEC 807 – Math Programming with Economic Applications
CISC 681 – Artificial Intelligence
CISC 684 – Introduction to Machine Learning
CISC 886 – Multi Agent Systems
ECON 622 – Applied Econometrics I
ECON 861 – Industrial Organization and Regulation
ELEG 630 – Information Theory
ELEG 636 – Statistical Signal Processing
ELEG 657 – Search and Data Mining
ELEG 655 – High-Performance Computing with Commodity Hardware
FINC 612 – Capital Markets and Financial Institutions
FINC 616 – Derivative Securities and Risk Management
FINC 670 – Theory of Financial Decision Making
FINC 671 – Workshop in Finance: Seminar
FINC 856 – Financial Engineering and Risk Management
MATH 612 – Computational Methods for Equation Solving and Function Minimization
MATH 630 – Probability Theory and Applications
MATH 631 – Introduction to Stochastic Processes
MATH 672 – Vector Spaces
MATH 829 – Topics in Mathematics
STAT 601 – Probability Theory for Operations Research and Statistics
STAT 602 – Mathematical Statistics
STAT 611 – Regression Analysis
STAT 615 – Design and Analysis of Experiments
STAT 617 – Multivariate Methods
STAT 620 – Nonparametric Statistics
STAT 674 – Applied Database Management
STAT 675 – Logistic Regression