Overview

The Master of Science in Data Science and Analytics at the University of Maryland’s College of Computer, Mathematical, and Natural Sciences is an innovative programme that equips students with essential skills in data science. This comprehensive course covers the theoretical and practical aspects of data science, including mathematical foundations, statistical methods, computational techniques, and effective communication strategies. Graduates of this programme will be adept at designing, conducting, interpreting, and communicating data analyses using a variety of statistical and machine learning tools.

Why Data Science and Analytics at the University of Maryland?

The University of Maryland is renowned for its strong emphasis on research and collaboration, providing students with access to cutting-edge facilities and resources. The programme is taught by experienced faculty members who are experts in their respective fields, ensuring that students receive a high-quality education that is both relevant and practical. The university's strategic partnerships with industry leaders further enhance the learning experience, offering students insights into real-world applications of data science.

Tuition Fee Breakdown

The tuition fees for the Master of Science in Data Science and Analytics are as follows:

International Fee: USD 1,841 per credit
National Fee: USD 1,841 per credit
Local Fee: USD 844 per credit

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum for the Master of Science in Data Science and Analytics comprises ten courses, focusing on five key competencies:

Statistics: Covers standard statistical methods, including linear regression, ANOVA, and Bayesian estimation.
Machine Learning: Introduces advanced methods such as support vector machines and neural networks.
Computing: Focuses on databases and programming in languages such as Python and Perl.
Communication: Teaches effective communication of data science concepts and results.

Students can choose from elective courses like Deep Learning, Natural Language Processing, and Cloud Computing to tailor their learning experience.

Careers with Data Science and Analytics

Graduates of the Master of Science in Data Science and Analytics programme are well-prepared for various roles in the data science field. Alumni have successfully secured positions in leading companies across diverse industries, including technology, finance, and healthcare. Potential job roles include Data Scientist, Data Analyst, and Machine Learning Engineer, among others, highlighting the programme's effectiveness in preparing students for the demands of the job market.

Programme Structure

Courses include:

Probability & Statistics

Principles of Data Science

Principles of Machine Learning

Data Representation and Modeling

Big Data Systems

Algorithms for Data Science

Key information

Duration

Full-time
- 24 months

Start dates & application deadlines

Starting 2026-08-26 00:00:00
- Apply before 2026-06-14 00:00:00 , National
Starting 2027-08-26 00:00:00
- Apply before 2027-03-15 00:00:00 , International

Language

English

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IELTS

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Credits

30 SCH

Delivered

On Campus

Campus Location

College Park, United States

Disciplines

Data Science & Big Data Data Analytics View 462 other Masters in Data Science & Big Data in United States

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Academic requirements

GRE^®

Required

English requirements

TOEFL^® IBT

Schedule TOEFL®

PTE Academic

Schedule a PTE test!

IELTS

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Cathoven AI IELTS Preparation

Learn your IELTS Score

AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

Trusted by 300k learners
98 accuracy using real exam data
4.9/5 student rating

Other requirements

General requirements

Statement of Purpose

Transcript(s)

TOEFL/IELTS/PTE (international graduate students)

Graduate Record Examination (GRE) (optional)

CV/Resume

Description of Research/Work Experience

Prior coursework establishing quantitative ability (i.e. calculus, linear algebra, basic statistics etc.).

Proficiency in programming languages, demonstrated either through prior programming coursework or substantial software development experience.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

28170 USD / year

≈ 28170 USD / year
Out-of-State

28170 USD / year

≈ 28170 USD / year
Domestic

Applies to you

In-State

13170 USD / year

≈ 13170 USD / year

Living costs

College Park

United States

1676 - 2838 USD / month

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

Financing

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Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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Scholarships Information

Below you will find Master's scholarship opportunities for Data Science and Analytics.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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About

Overview

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Tuition Fees

International Applies to you

Domestic

Living costs

College Park

Financing

Funding

Scholarships Information

Available Scholarships

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