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MS in Healthcare Analytics Curriculum


Curriculum Plan (2021 – 2022)

Please note that there may be other requirements for completion or options for elective and specialized courses. Please see the academic catalog for the full curriculum. Course offerings and sequence are subject to change.

Prerequisite Courses

The Master’s in Healthcare Analytics program has two pre-requisite courses that are to be completed during Session 1 and 2 of year one. Applications for a waiver are to be made to the program academic advisor. For consideration to waive the prerequisite courses, students must satisfy one of the following requirements:

  • Bachelor Degrees: Students with undergraduate majors including a course in math, a course in statistics and a course in programming are eligible to apply for waivers of the program prerequisites courses. A three-unit equivalent course completed at the Bachelors level within the last three years in math and in statistics with a grade of B+ or better will waive the DAT5005 prerequisite course. A three-unit equivalent course completed at the bachelors level in programming (e.g., C++, .NET/C#, JAVA, R, or Python) and in math and in statistics within the last 3 years with a grade of B+ or better will waive the DAT5000 prerequisite course. In cases where the course was completed more than three years ago, students can apply for a waiver and the program will assess the course contents.
  • Masters Degrees: Students with a masters including a course in math or statistics, and a course in programming at the masters level, completed with a grade of B or better in the previous three years can waive the applicable subject area prerequisite course for the program.

The prerequisite courses for this program are to be completed during Session 1 and 2 of year one:

  • Essentials of Informatics Using Python
  • Basic Applied Statistics 


  • Healthcare Systems, Services, and Infrastructure – A Global Perspective
  • Database Design Principles and Technologies
  • Legal, Regulatory, and Ethical Issues in Modern Healthcare Structures
  • Quantitative and Qualitative Analysis Methods for Healthcare Data Analytics
  • Health Information Exchange
  • Project Management and Healthcare Systems/Applications Life Cycles
  • Epidemiology, Patient Care, and Public Health Informatics
  • Professional Practice (3 courses)
  • Data Visualization
  • Advanced Analysis, Design and Project Management for Healthcare Informatics
  • Industry Research Project

Instruction may be provided on-ground, online or in hybrid modalities, and varies by program. For on-ground and hybrid programs, instruction is primarily provided at an Alliant campus; however, some instructional activities may take place off campus at a location appropriate for the particular activity, including, but not limited to, online courses or online portion of courses, internships, practicums, or field placement activities.

For online programs, instruction is provided online; however, some programs may include an in-person residency requirement at one of Alliant’s campuses. Additional instructional activities, including, but not limited to internships, practicums, or field placement activities may take place at a location appropriate for the particular activity.


Why Alliant

At Alliant, our mission is to prepare students for professional careers of service and leadership and to promote the discovery and application of knowledge to improve lives. We offer an education that is accredited, focused on practical knowledge and skills, connected with diverse faculty and alumni, and aimed at the student experience.

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CSML is a business management school that trains you to have a competitive edge in the technology and quantitative fields. CSML offers management and leadership degrees where you can learn to guide and mentor the next generation of professionals and make your mark as an innovator in the modern business world.



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