MSN + MSIS: Data Analytics Dual Degree, Master's

MSN Admissions Requirements

• Baccalaureate degree in nursing from an ACEN or CCNE accredited institution with a cumulative GPA of 3.0 or higher on a 4.0 scale.
• An active registered nurse license or eligibility for licensure in the Commonwealth of Pennsylvania. New Jersey licensure as a registered nurse is also required prior to beginning the clinical sequence for all MSN programs.
• Evidence of the equivalent of 12 months full-time nursing practice within the last three (3) years
• For the Post-Graduate Certification Programs, evidence of a minimum of one (1) year of experience as a practicing licensed registered nurse within the past two (2) years

How to Apply

*For applicants who do not meet the minimum GPA requirement, completion of the GRE or MAT will be required to be considered for admission to the program

*International applicants (regardless of citizenship) for whom English is a second language must submit English proficiency test scores (TOEFL, iBT, IELTS, or CAE) as part of their application. An official copy of test results must be sent by the testing agency directly to the Division of Nursing at DeSales University, 2755 Station Avenue, Center Valley, PA 18034. Visit the following websites for up-to-date information:

• The Test of English as a Foreign Language (TOEFL)
• The International English Language Testing System (IELTS)
• The Cambridge English Proficiency (CPE)

* All exams must have been taken within two years of application to a DeSales program.

The curriculum for the MSN/MSIS Dual Degree in Data Analytics program combines an exciting blend of theoretical and applied learning. 

 Core Graduate Nursing Courses

• NU 522: Health Policy, Organization, and Financing
• NU 530: Applied Research
• NU 536: Clinical Prevention in Population Health
• NU 538: Health Informatics, Quality and Safety

Healthcare Information Management Courses

• IT 507: Object Oriented Programming
• IT 511: Database Management
• IT 513: Database Mining and Visualization
• IT 526: Data Communication Networks
• IT 532: Systems Analysis & Design
• IT 541: Decision Support Systems
• IT 553: Statistical Analysis and Predictive Modeling
• IT 562: Data Analytics

Specialty/Clinical Practicum Courses

• NU 724: Nursing Informatics Practicum I
• NU725: Nursing Informatics Practicum II
• NU 799: Capstone Portfolio

MSN in Nursing Informatics Curriculum Summary

• 14 Courses plus Portfolio
• 45 credits
• 450 Clinical Practicum Hours

*View all required courses, course credits, course descriptions, and program outcomes in the Graduate Catalog.

MSN/MSIS Dual Degree in Data Analytics Concentration Student Learning Outcomes

At the completion of the MSN/MSIS Dual Degree in Data Analytics Program, students will:

1. Demonstrate an inner core of Christian humanistic values that guide the student's professional and personal decisions. [MSN Program Outcome #1, 2]
2. Integrate legal, ethical, regulatory, technical, and professional standards into the analysis healthcare information. [MSN Program Outcome #2, 4, 7, 8, 9, 10]
3. Apply principles of research, evidence based practice, quality improvement and safety methodologies in the evaluation and improvement of healthcare information systems. [MSN Program Outcome #3, 4, 7, 8, 9,10]
4. Promote the use of consumer tools for healthcare informatics to foster healthy lifestyles. [MSN Program Outcome #3, 4, 7, 8, 9]
5. Develop expertise in process change, resource utilization, collaboration, communication, and administration to positively impact direct care outcomes. [MSN Program Outcome #8, 9]
6. Apply design-thinking to nursing practice. [MSN Program Outcome #4, 5, 6, 7, 8, 9, 10]
7. Integrate the theory and knowledge from the disciplines of nursing and information systems in responding to challenges of an increasingly complex intersection of clinical innovation and technology. [MSN Program Outcome #9]
8. Participate in the development and evaluation of healthcare technology policy at the local and national level. [MSN Program Outcome #5]
9. Integrate an advanced understanding of nursing science, computer science, information science, and data analytics in the professional practice of nursing. [MSN Program Outcome #1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]

DeSales University is home to some of the most advanced simulation technology in a university setting.

Simulation captures the key characteristics and behaviors of real life clinical events and gives students the opportunity to practice clinical skills, repeat procedures, fine-tune processes, and observe the impact of their choices — all without harm to patients. 

The DeSales family of Human Patient Simulators (HPS)

HPS, also known as high-fidelity manikins, are life-like models of the human body with software/computer equipment components to mimic human bodily functions. The HSC maintains several HPSs, including a pregnant mother and new-born infant.

Clinical Skills Lab 

Our clinical skills suite provides both a 12 bed in-patient and a 12 bed out-patient practice environment. Students can practice a wide variety of clinical skills with low fidelity mannequins. Task Trainers help students gain expertise in technical procedures and clinical skills such as foley catheter placement or pelvic examination for undergraduate students and more advanced skills such as central line placement or peripheral IV insertion, for our graduate students.

Standardized Patient Program

This on-campus suite replicates a functioning healthcare office, complete with a waiting room, and 8 fully equipped examination rooms. Standardized Patients are real people who are specially-trained to portray different patient scenarios, where they are treated as real patients by DeSales students. They actively participate in the instruction, practice, and assessment of the physical examination skills of our students, nurses, and physician assistants. Become a standardized patient 

Education Management

Our Education Management Solutions, Inc. system (EMS) provides a comprehensive solution for the labs;. Digital AV software and hardware allow faculty to capture both the simulations and standardized patient environments for further review. The results provide a digital video record of individual and team performance, which assist in evaluating a student’s performance when faced with realistic clinical challenges.

Data Analytics is one of the fastest growing niche fields for nurses across the US.

According to the Bureau of Labor Statistics (2019), the job market in the data analytics field is expected to grow by 12% between 2018 and 2028, a rate that is faster than average. Graduates of the MSN/MSIS Dual Degree will be prepared for positions that include:

• Data manager or consultant
• Data architect
• Quantitative analyst
• Healthcare data analyst
• Clinical decision analyst
• Clinical decision support leader
• Nurse Informaticist

Tuition and fees for the Master of Science in Nursing (MSN) are as follows.

• Tuition/credit hour: $975*
• Laboratory Fee: $250**
• Returned Check Service: $30
• Graduation Fee: $120

*Tuition/credit hours listed are for 2024/2025 academic year. Tuition and fees are reviewed each academic year and are subject to change with notice.
**Average cost. Laboratory fees are due on registration.

View a comprehensive list of financial aid forms and graduate program information sheets

Tuition Deferment

DeSales University offers graduate students the opportunity to defer payment of their tuition when they will be receiving reimbursement from their employer or when they are eligible to receive financial aid. A copy of your employer's tuition reimbursement policy must be forwarded to the Treasurer's Office and/or all necessary financial aid paperwork must be filed with the Financial Aid Office before tuition deferment is granted. 

Tuition deferment is a privilege given to graduate students at DeSales and can be revoked if this privilege is abused. Please note that you, as the student, are responsible for payment of your tuition balance in the event that your financial aid/loans or employer reimbursement is not received by the Treasurer's Office.

Tuition Reimbursement

When a student is eligible for tuition reimbursement from his/her employer, written evidence of eligibility is required. The student is responsible for requesting this reimbursement from his/her employer. In cases where reimbursement is contingent upon successful completion of the course(s) and the student either withdraws or does not achieve a grade sufficient to warrant maximum reimbursement, the student is ultimately responsible for payment for the course(s).

Refund on Withdrawal

A refund of tuition payments will be made to a student who withdraws from a course. In all cases, credits will be calculated from the date the student completed the official withdrawal form, and the rebate will be based on the schedule shown below. 

Refunds apply to tuition only. If a student is allowed to enroll by use of the deferred payment procedure, any funds due the University are immediately due and payable upon withdrawal.

Withdrawal during the add/drop period is 100% of tuition refunded. The schedule below is for withdrawal after the first class after the close of the add/drop period. 

The refund policy is based upon the number of classes held up to 
the date of withdrawal.

• Withdrawal after 1st class: 80% of tuition refunded
• Withdrawal after 2nd class: 65% of tuition refunded
• Withdrawal after 3rd class: 50% of tuition refunded
• Withdrawal after 4th class: 25% of tuition refunded
• >Withdrawal after 5th class: No refund