Program Contact: Chetan Jaiswal 203-582-7862
The Master's in Informatics program at Quinnipiac University offers a dynamic curriculum designed to equip students with advanced skills in leveraging technology to address complex challenges across various industries. With a blend of theoretical foundations and hands-on practical experience, students delve into areas such as data management, information systems, security and privacy, and emerging technologies.
Through interdisciplinary coursework, students develop proficiency in data analysis, computing, ethical paradigms, and information security. They explore cutting-edge topics including artificial intelligence, machine learning, and cybersecurity, gaining insights into how these innovations can be applied to real-world problems.
The program emphasizes critical thinking, problem-solving, and ethical decision-making, preparing graduates to navigate the rapidly evolving landscape of technology and informatics. Whether pursuing careers in healthcare, law, data analytics, finance, government, or beyond, graduates emerge as versatile professionals capable of driving innovation and making meaningful contributions to their fields.
With access to industry-experienced faculty, state-of-the-art facilities, and opportunities for research and internships, the Master's in Informatics program provides a solid foundation for success in the digital age. Graduates emerge ready to tackle complex challenges, lead teams, and shape the future of technology-enabled innovation.
Master of Science in Informatics
Program of Study
The MS in Informatics is 30 credits. Choose from one of three tracks: Health Informatics, Data Informatics, or Legal Informatics. Each track contains an 18-credit core of computing and emphasis courses and 12 credits of elective courses.
Health Informatics Track
| Code | Title | Credits |
|---|---|---|
| Core Computing | ||
| INF 605 | Intro to Programming-Python | 3 |
| INF 606 | Database Systems | 3 |
| INF 607 | Introduction to Cybersecurity | 3 |
| Core Emphasis | ||
| INF 620 | Introduction to Health Informatics | 3 |
| INF 621 | Ethical and Legal Issues in Healthcare Informatics | 3 |
| INF 622 | Controlled Medical Terminology | 3 |
| Electives | 12 | |
| Total Credits | 30 | |
Data Informatics Track
| Code | Title | Credits |
|---|---|---|
| Core Computing | ||
| INF 605 | Intro to Programming-Python | 3 |
| INF 606 | Database Systems | 3 |
| INF 607 | Introduction to Cybersecurity | 3 |
| Core Emphasis | ||
| INF 651 | Big Data Management | 3 |
| INF 652 | Data Mining | 3 |
| INF 653 | Machine Learning | 3 |
| Electives | 12 | |
| Total Credits | 30 | |
Legal Informatics Track
| Code | Title | Credits |
|---|---|---|
| Core Computing | ||
| INF 605 | Intro to Programming-Python | 3 |
| INF 606 | Database Systems | 3 |
| INF 607 | Introduction to Cybersecurity | 3 |
| Core Emphasis | ||
| INF 635 | Introduction to Legal Informatics & Ethics | 2 |
| INF 636 | Legal Research | 1 |
| INF 637 | Cybersecurity Law | 3 |
| INF 638 | Law Practice Management | 3 |
| Electives | 12 | |
| Total Credits | 30 | |
Elective Courses
| Code | Title | Credits |
|---|---|---|
| INF 651 | Big Data Management | 3 |
| INF 652 | Data Mining | 3 |
| INF 653 | Machine Learning | 3 |
| INF 680 | Foundations of Epidemiology and Public Health | 3 |
| INF 681 | Healthcare Organization and Delivery | 3 |
| INF 682 | Health Information Standards & Interoperability | 3 |
| INF 683 | The Design, Implementation, and Evaluation of EHR Systems | 3 |
| INF 684 | Disease Processes & Systems | 3 |
| INF 656 | Applied Time Series Analysis | 3 |
| INF 658 | Data-Driven Decision Making | 3 |
| INF 659 | Probability & Data Analysis | 3 |
| INF 670 | Generative AI for Informatics | 3 |
| INF 691 | Information E-Discovery and Digital Evidence | 3 |
| INF 693 | Litigation and Courtroom Technologies | 3 |
| INF 695 | Legal Analytics | 1 |
| INF 673 | MS Thesis | 3 |
| INF 674 | MS Thesis II | 3 |
| INF 676 | Internship Credit | 1-3 |
Admissions
To qualify for admission into the MS Informatics program, a student must have completed a bachelor’s degree from a regionally accredited institution. A complete application consists of the following:
- Application form and fee
- A letter of intent including an autobiographical account of personal, professional and educational achievements
- One letter of recommendation
- Official transcripts of all undergraduate and graduate work completed
- TOEFL/IELTS scores (if the medium of instruction for the undergraduate degree is not English)
A cumulative undergraduate GPA of 3.00 is preferred. Although Graduate Record Examination (GRE) scores are not required, the scores can provide another indication of a student’s academic readiness. Applicants should refer to the Graduate Admission Requirements found in this catalog.