Johns Hopkins University United States

Data Science

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 1 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Closing soon January 2027

Course Overview

The Masters Degree in Data Science at Johns Hopkins University provides you with the advanced analytical and computational skills essential for extracting meaningful insights from complex datasets. In today's data-driven world, professionals skilled in statistical methods, algorithms, and data engineering are in high demand across all sectors. This postgraduate program is designed for individuals eager to master the principles of data science, preparing you to tackle challenges in areas like predictive modeling, machine learning, and data visualization. You will gain a robust understanding of the quantitative foundations that underpin modern data analysis.

This full-time, on-campus Masters Degree is structured over one year, offering an intensive and immersive learning experience. You will engage with core coursework including Statistical Methods and Data Analysis, Algorithms for Data Science, and Data Engineering Principles. The curriculum also allows for specialisation through applied and computational mathematics electives, enabling you to tailor your studies to specific interests like optimization or statistical models. You will graduate with a comprehensive portfolio of projects and the expertise to pursue careers as data scientists, machine learning engineers, or data analysts in leading technology firms and research institutions.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This course provides a comprehensive foundation in data science, covering essential algorithms, statistical methods, and data analysis techniques. Students will delve into core data science principles, data engineering, and visualization, complemented by statistical modeling and regression. The curriculum also offers a wide array of electives in applied and computational mathematics, including areas like optimization, matrix theory, probability, and various statistical modeling approaches.

1 Foundation Courses

Algorithms for Data Science
Statistical Methods and Data Analysis

2 Required Courses

Data Science
Data Engineering Principles and Practice
Data Visualization
Statistical Models and Regression
Introduction to Optimization

3 Applied and Computational Mathematics Electives

Real Analysis
Matrix Theory
Computational Methods
Introduction to Optimization
Discrete Hybrid Optimization
Mathematical Methods for Signal Processing
Introduction to Operations Research: Probabilistic Models
Monte Carlo Methods
Graph Theory
Mathematics of Finance
Mathematics of Risk, Options, and Financial Derivatives
Multivariate Statistics and Stochastic Analysis
Computational Statistics
Bayesian Statistics
Cryptography
Applied Topology
Computational Complexity and Approximation
Probabilistic Graphical Models
Time Series Analysis
Advanced Differential Equations: Partial Differential Equations
Advanced Differential Equations: Nonlinear Differential Equations and Dynamical Systems
Theory of Probability

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 64,730.00
Total Program Cost Estimated total tuition
USD 64,730.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 362.00 - USD 1,307.00
Food & Groceries USD 3,600.00 - USD 5,400.00
Transport USD 840.00 - USD 1,440.00
Utilities & Bills USD 1,200.00 - USD 2,040.00
Estimated Total USD 5,640.00 - USD 8,880.00

Living cost estimates are based on Baltimore Campus.

Outcomes & Employability

What happens after you graduate

91%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Advertising Finance & OperationsClient Services & Account ManagementCloud Computing & InfrastructureDevOps & Site Reliability EngineeringDigital MarketingFintech & Mobile MoneyMarketing Analytics & Data ManagementMedia Production & EditingPerformance & Growth MarketingRoad Transport & Logistics

Top Employers Hiring for this course

Google

Meta

Microsoft

Why Study Data Science at Johns Hopkins University

What makes this program stand out

January 2027 Closing soon

Next intake is in January 2027

Very Fast Application response time

Johns Hopkins University typically responds to applications within 1 - 2 days, giving you clarity on your options quickly.

Life at Johns Hopkins University in United States

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about Data Science at Johns Hopkins University

Can I work while studying?

International students can work up to 20 hours per week during the term and full-time during breaks. On-campus work does not require a separate permit.

What English language score do I need for this course?

To apply, you need to meet specific English test requirements. Acceptable scores include a TOEFL overall score of 100 or an IELTS overall score of 7.0.

What jobs can I get after studying this course?

Graduates can pursue careers as data scientists, machine learning engineers, or data analysts.

What will I actually study in this course?

The Masters Degree in Data Science at Johns Hopkins University provides you with the advanced analytical and computational skills essential for extracting meaningful insights from complex datasets. In today's data-driven world, professionals skilled in statistical methods, algorithms, and data engineering are in high demand across all sectors. This postgraduate program is designed for individuals eager to master the principles of data science, preparing you to tackle challenges in areas

When can I start — what are the intake months?

The Data Science Master's program at Johns Hopkins University starts in January. It is a full-time, one-year on-campus program.
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