Master of Science in Data Analytics, MS
The M.S. in Data Analytics is designed for students with strong quantitative, analytical and technical skills who want to develop the techniques, skills and tools needed for a rewarding career in big data.
Developed for learners who have a specific interest in data analysis and data modeling, graduates of the program should be able to:
- successfully compete for employment in the public and private sector in the field of data analytics.
- develop methods to obtain and structure large volume sets and multiple sources.
- apply statistical and predictive modeling to big data for decision making.
- demonstrate the ability to use Big Data tools.
- demonstrate knowledge of high ethical standards and the application of those standards in real life criminal justice situations consistent with the Christian humanism philosophy of St. Francis de Sales.
The program is a combination of asynchronous and interactive lectures, practical hands-on experience, real world case studies, group work, and research.
What’s Different About DeSales?
- Designed for busy professionals, the DeSales MS Data Analytics is delivered 100% online.
- You will have the opportunity to specialize based on your career goals. We currently offer a concentration in Information Systems, with many more coming soon!
- Our instructors have professional experience and understand the needs of industry and working adults.
- We offer multiple start dates per year, so your education doesn’t have to wait.
According to the Bureau of Labor Statistics, employment in the field of mathematical science is projected to grow nearly 28% between 2016 to 2026.
Candidates for the DeSales MS Data Analytics program must have earned a bachelor's degree in a computer related discipline from an accredited US institution with a minimum cumulative grade point average of 3.0 (B).
Applicants who have not earned a quantitative or computer-related degree and/or who lack related coursework may be considered for regular or provisional admission to the program, based on a holistic review of qualifications. Provisional admission simply requires the completion of one or two additional foundational courses as part of your plan of study.
Transcripts are reviewed on an on-going basis and accepted students may begin at the next available session.
International applicants must contact Julie Ferraro, Designated School Official, at 610-282-1100, ext. 1768 or firstname.lastname@example.org to inquire about international admission requirements.
- Application Fee: $50
- Deadline: Rolling
- Standardized Exam Required: No
- Official Transcripts Required: Yes
- Personal Statement Required: Yes
- Letters of Recommendation: 3 Required
- Resume Required: Yes
The program of study consists 36 credits (12 three-credit courses)
- Core Courses 15 credits
- Concentration Courses 12 credits
- Electives 6 credits
- Capstone 3 credits
- Total 36 credits
All candidates are required to complete the 15 credit core requirement.
- IT 511 Database Management
- IT 513 Data Mining and Visualization
- IT 541 Decision Support Systems
- IT 553 Statistical Analysis and Predictive Modeling
- IT 562 Data Analytics
Areas of Concentration (Additional concentrations coming soon)
The concentration course requirement provides the student with the opportunity for learning advanced technological and business concepts. Candidates are required to complete 12 credits towards satisfying the concentration requirement.
Information Systems (select four):
- IT 507 Object Oriented Programming
- IT 526 Data Communication Networks
- IT 532 System Analysis and Design
- IT 546 Ethical and Social Issues
Elective Courses - 2 courses
The 6 credit elective course requirement is designed to further enhance the career goal or the interest of the candidate. Students may select two additional courses that must be approved by your advisor.
The capstone course requirement is a demonstration of the student’s ability to successfully complete a comprehensive and independent work by selecting and completing a project or design.
Careers & Internships
Job growth in this field is at an all-time high, and trained professionals are in consistently increasing demand.
Average national salaries within this field:
- Senior Data Analyst - $79,703
- Senior Privacy & Security Analyst - $95,565
- Director of Analytics - $126,597
- Data Security Administrator - $69,634
- Information Security Analyst - $71,309 – $98,350
- Information Security Manager - $113,115
- Cyber Security Engineer - $94,929
- Clinical Analyst - $69,038
- Health Information Management Director - $70,691
- Information Technology Manager - $87,593
- Information Technology Project Manager - $87,446
(Source: Payscale.com, 2016 & Bureau of Labor Statistics)
Tuition & Fees
- Tuition/credit hour: $855
- Application Fee: $50
- Re-admission Fee: $50
- Graduation Fee: $120
- Returned Check Service: $30
- Prior Learning Assessment (PLA) fee – 30% of course tuition charge
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.
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 listed 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.
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
Online Learning at DeSales
Blackboard Learn™ is our online learning system.
Kamran Afshar Data Analytics Center at DeSales University
DeSales has joined forces with leading economist Dr. Kamran Afshar on a groundbreaking data analytics center that puts students at the forefront of research and consulting.
Prospective clients include banks, retailers, and housing and real estate developers, as well as local and state governments. Students will work real-world client projects — everything from customer satisfaction surveys and business purchasing intentions to economic impact analyses.