M.S. in Data Science offered by John Hopkins University
4.8 /5- Private University
140 acre campus- Estd. 1876
M.S. in Data Science at John Hopkins University Overview
M.S. in Data Science
at John Hopkins University
Learn theoretical foundation, technical expertise, and practical experience needed to succeed in the rapidly growing field of data science
Duration | 24 months |
Start from | Start Now |
Total fee | ₹1.55 Crores |
Mode of learning | Online |
Official Website | Go to Website  |
Course Level | PG Degree |
M.S. in Data Science at John Hopkins University Highlights
M.S. in Data Science
at John Hopkins University
- Earn a degree after completion of the course
M.S. in Data Science at John Hopkins University Course details
M.S. in Data Science
at John Hopkins University
Skills you will learn
Who should do this course?
- Individuals with undergraduate degrees in computer science, mathematics, statistics, engineering, or related fields
- Professionals working in data-related roles such as business analysts, software developers
- Professionals in industries such as finance, healthcare, retail, or technology who want to leverage data science techniques
What are the course deliverables?
- Data Wrangling and Cleaning
- Statistical Analysis and Modeling
- Machine Learning Algorithms
- Data Visualization and Communication
- Big Data Technologies
- Ethics and Privacy
More about this course
- The course offers a structured curriculum focusing on essential skills and knowledge required in the field
- In this course students will gain expertise in Data Science while maintaining academic standards and flexibility for some elective choices, subject to specific guidelines and advisor approval
M.S. in Data Science at John Hopkins University Curriculum
M.S. in Data Science
at John Hopkins University
Courses
Introduction to Programming Using Python
Introduction to Programming Using Java
Multivariable Calculus and Complex Analysis
Discrete Mathematics
Foundation Courses
Algorithms for Data Science
Statistical Methods and Data Analysis
Required Courses
Data Science
Data Engineering Principles and Practice
Data Visualization
Statistical Models and Regression
Applied and Computational Mathematics Electives
Real Analysis
Matrix Theory
Computational Methods
Introduction to Optimization
Discrete Hybrid Optimization
Computer Science Electives
Large-Scale Database Systems
Information Retrieval
Reasoning Under Uncertainty
Advanced Machine Learning
M.S. in Data Science at John Hopkins University Entry Requirements
M.S. in Data Science
at John Hopkins University
Eligibility criteria
- Education: Bachelors degree
- Three semesters or five quarters of calculus, which includes multivariate calculus
- One semester/term of advanced math
- One semester/term of Java or Python
Conditional Offer
- Yes
- Read moreStudents can be admitted with the conditions that they successfully complete their undergraduate studies and submit an official transcript or evaluation verifying degree conferral prior to the course Withdraw/Audit deadline for the first semester in which they are enrolled at AAP. Once the condition is met and the final transcript is received, the conditional status will be removed. Conditional students are not eligible to receive financial aid nor permitted to register beyond the term for which they have been admitted.
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Johns Hopkins UniversityStudents Ratings & Reviews
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Student Views
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M.S. in Data Science
Offered by Johns Hopkins University
4.8
Academic and research centric university.
Tips: The university is very rigorous in terms of academics so be prepared for that. Apart from that, sports and other clubs are also very active but mainly education and research are their forte. If you want to explore your interests in the research field, this is the best option for you.
Likes (Safety): The university spends a good amount of money on students' safety despite the city being very unsafe. They have their own police force, they have deployed security at several locations and also they have their own transport shuttle which provides point-to-point service from evening till late night.
Dislikes (Internships): Getting an internship is comparatively more difficult than getting a research assistantship at the university. They don't have many industrial connections in other departments than Biotech, Bioinformatics, etc. People in these fields may get some departmental help, but others may have to look on their own for jobs and internships.
Reviewed on 7 Nov 2024Read more
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M.S. in Data Science at John Hopkins University Contact Information
M.S. in Data Science
at John Hopkins University