MSE in Data Science
Baltimore, USA
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
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EARLIEST START DATE
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TUITION FEES
USD 56,313 *
STUDY FORMAT
On-Campus
* $75 application fee
Key Summary
Introduction
Data Science professionals are highly sought-after in today’s economy and for the foreseeable future. And a master’s degree provides the advanced knowledge and skills needed to stand out. The master’s degree in Data Science at Johns Hopkins Engineering emphasizes mastery of the skills needed to translate real-world, data-driven problems into mathematical ones, and then solve these problems using scientific tools. The curriculum offers modern courses created to expand your knowledge for advanced career opportunities in data science, including Machine Learning, Data Visualization, Statistics, and Large-Scale Data Systems.
About the Program
The Data Science Master’s degree at the Whiting School will provide training in applied mathematics, statistics, and computer science to serve as the basis for an understanding, and appreciation, of existing data science tools.
Admissions
Scholarships and Funding
Several scholarship options are available, Please visit the school for more information.
Curriculum
Prerequisite Courses
- Multivariable Calculus and Complex Analysis
- Discrete Mathematics * or Introduction to Ordinary and Partial Differential Equations or Linear Algebra and Its Applications
- Introduction to Programming Using Python or Introduction to Programming Using Java
Foundation Courses
- Statistical Methods and Data Analysis
- Algorithms for Data Science
Required Courses
- Principles of Database Systems or Introduction to Machine Learning
- Data Visualization
- Introduction to Optimization * or Computational Statistics
- Statistical Models and Regression
- Data Science
Program Tuition Fee
Career Opportunities
The online master’s degree in data science prepares you to succeed in specialized jobs involving everything from the data pipeline and storage to statistical analysis and eliciting the story the data tells. You will:
- Create models using formal techniques and methodologies of abstraction that can be automated to solve real-world problems.
- Become a confident data scientist and leader.
Program delivery
- Gain practical skills and advance your career to meet the growing demand for data scientists.
- Balance both the theory and practice of applied mathematics and computer science to analyze and handle large-scale data sets.
- Manage and manipulate information to discover relationships and insights into complex data sets.
- Select the courses that fit your area of interest.