Studyportals
M.Sc. On Campus

Healthcare Data Science

University of Southern California

24 months
Duration
2199 USD/credit 35184 USD/year
2199 USD/credit 35184 USD/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Healthcare Data Science MSc program offered at University of Southern California is an interdisciplinary joint degree program offered by the Viterbi School of Engineering and the Keck School of Medicine. 

Hey there 👋🏼

Interested in some tips for finding the best matching programme for you?

Here is a checklist of the most common actions that users take before finding their dream programme.

Completed items

Search with at least 2 filters
You can use the search page. The filter section on the left contains a variety of useful filters.
0 / 5
Visit 5 programme pages
You can find programmes in different ways. If you haven't viewed any programmes yet, the search page is probably a good place to start.
0 / 2
Visit 2 university pages
You can find universities in different ways. From the page of a programme you like you can jump to the corresponding university or you can start with the country you like and check a list of universities there.
Take our personality test
Would you like to know what kind of programme would fit your personality best? Go to the personality test page to take the test.
Take our country test
Would you like to which country would be the ideal place for you to study? Go to the country test page to take the test.
Create an account
Creating an account gives you a number of benefits. It will unlock 6 more items on your checklist. Some new things you'll be able to do are:
  • Check your fit with a programme
  • View recommendations
  • Compare programmes

Overview

What you will learn

At the Healthcare Data Science MSc program at University of Southern California, students will complete a core set of courses to provide a foundation in data science and health and choose electives to optimize their preparation for their preferred career path and unique professional opportunities. Data science for addressing healthcare needs is an increasingly important area for creating novel devices, advancing biomedical research, and developing innovative processes that require integrative approaches linking data systems, analytics, business processes, and decision support.  

The curriculum is designed to be accessible to students with any background, including students with a biomedical background and no computer science knowledge as well as students with a computer science background and no biomedical knowledge.  Students with undergraduate degrees in computer science, engineering, science or mathematics will acquire the necessary knowledge to analyze health data with diverse sources and purposes and can request to replace introductory data science courses with more advanced ones.  Students with undergraduate degrees in biology, biochemistry, and other sciences will acquire formal and practical data science skills and can request to substitute introductory courses in health with more advanced ones.  There is no requirement of prior knowledge of programming or computer science, as the curriculum is designed with special introductory courses that are accessible to students with diverse backgrounds.

Students will learn a range of data science skills such as developing scalable data systems, using state-of-the-art software and infrastructure for data science, designing data analyses with statistical methods, applying machine learning and data mining techniques, designing effective visualizations, and working in multi-disciplinary data science teams. On the health side, students will be integrated into teams working with medical students in healthcare settings as well as courses on clinical workflow and medical technology systems such as image acquisition systems and other healthcare informatics systems.

Programme Structure

Courses include:

  • Topics in Biomedical Systems
  • Topics in Health, Technology and Engineering 
  • Topics in Health, Technology and Engineering 
  • Principles of Programming for Data Science 
  • Computational Thinking and Data Science 
  • Data Science at Scale 

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Credits

32 alternative credits

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

Other requirements

General requirements

Prospective students will need to complete and submit:

  • The USC Graduate Admission Application
  • GRE exam results
  • Financial documentation
  • Proof of English proficiency for international students

Tuition Fee

To alway see correct tuition fees
  • International

    35184 USD/year
    Tuition Fee
    Based on the tuition of 2199 USD per credit during 24 months.
  • National

    35184 USD/year
    Tuition Fee
    Based on the tuition of 2199 USD per credit during 24 months.

Living costs for Los Angeles

1520 - 2570 USD /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 9 months

Check the official programme website for potential updates.

Our partners

Healthcare Data Science
-
University of Southern California

Wishlist

Go to your profile page to get personalised recommendations!