Overview

The Master of Science in Electrical and Computer Engineering (Machine Learning and Big Data) at Duke University provides a robust educational experience, focusing on the intersection of machine learning and big data analytics. This programme is structured to meet the demands of a rapidly evolving technological landscape, equipping students with the necessary skills to excel in various sectors. Duke University is renowned for its cutting-edge research and innovation, consistently ranking among the top institutions for engineering and technology. The university's commitment to fostering a collaborative learning environment ensures that students are well-prepared for their future careers.

Why Electrical and Computer Engineering (Machine Learning and Big Data) at Duke University?

Duke University is distinguished by its strong emphasis on interdisciplinary collaboration and research excellence. The Electrical and Computer Engineering department boasts state-of-the-art facilities and access to leading experts in the field. The programme is designed to provide students with hands-on experience and the opportunity to engage in projects that have real-world applications. Duke’s partnerships with industry leaders enhance the learning experience and offer students valuable networking opportunities. The university’s vibrant community and commitment to innovation make it an ideal place for aspiring engineers and data scientists.

Tuition Fee Breakdown

The tuition fees for the Master of Science in Electrical and Computer Engineering (Machine Learning and Big Data) are as follows:

International Fee: USD 33,862 per semester
National Fee: USD 33,862 per semester
Local Fee: USD 33,862 per semester

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

Syllabus

The curriculum for the Master of Science in Electrical and Computer Engineering (Machine Learning and Big Data) includes a variety of modules that cover essential topics in the field. Key areas of study encompass:

Machine Learning Techniques
Big Data Analytics
Statistical Methods
Information Theory
Programming for Data Science
Advanced Data Management

Students will also have the opportunity to select elective courses tailored to their interests, ensuring a personalised educational experience that aligns with their career aspirations.

Careers with Electrical and Computer Engineering (Machine Learning and Big Data)

Graduates of the Master of Science in Electrical and Computer Engineering (Machine Learning and Big Data) programme at Duke University are well-prepared to enter a variety of high-demand roles. Alumni have gone on to work in prestigious companies and organisations, contributing their expertise in sectors such as technology, finance, healthcare, and research. Potential career paths include data scientist, machine learning engineer, and research analyst, providing graduates with the skills necessary to thrive in diverse environments.

Programme Structure

Courses include:

Programming, Data Structures, and Algorithms in C++

Programming and Data Structures for Machine Learning

Mathematics for Machine Learning

Practical Machine Learning

Data Engineering

Advanced Computer Network

Performance Optimization & Parallelism

Signal Detection & Extraction Theory

Information Theory

Key information

Duration

Full-time
- 12 months

Start dates & application deadlines

Starting 2027-08-25 00:00:00
- Apply before 2027-01-16 00:00:00

Language

English

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Credits

30 SCH

Delivered

On Campus

Campus Location

Durham, United States

Disciplines

Electrical Engineering Data Science & Big Data Machine Learning View 365 other Masters in Electrical Engineering in United States

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

Duolingo English Test

125

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TOEFL^® IBT

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IELTS

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Cathoven AI IELTS Preparation

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98 accuracy using real exam data
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Other requirements

General requirements

Transcripts

Letters of recommendation

Statement of purpose

Life Experiences Statement

Resume

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

67724 USD / year

≈ 67724 USD / year
Out-of-State

67724 USD / year

≈ 67724 USD / year
Domestic

Applies to you

In-State

67724 USD / year

≈ 67724 USD / year

Living costs

Durham

United States

990 - 1670 USD / month

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

Financing

Interested in financing your studies? Find a student loan that works for you.

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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.

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

Scholarships Information

Below you will find Master's scholarship opportunities for Electrical and Computer Engineering (Machine Learning and Big Data).

Available Scholarships

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

On this page

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

Durham

Financing

Funding

Scholarships Information

Available Scholarships

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