Overview

Why Computer Science - AI and Machine Learning at Contemporary Technology University?

Contemporary Technology University stands out due to its innovative approach to education, focusing on practical applications of artificial intelligence and machine learning. The university is committed to providing a robust learning environment with state-of-the-art facilities and a faculty comprising industry experts and leading academics. Its strong industry partnerships facilitate valuable networking opportunities for students, enhancing their employability in a competitive job market. The programme is designed to respond to the growing demand for skilled professionals in AI and machine learning, ensuring that graduates are well-prepared for various roles in the tech sector.

Tuition Fee Breakdown

The tuition fees for the Master of Science in Computer Science - AI and Machine Learning are structured as follows:

International Fee: EUR 12,000 per full programme
National Fee: EUR 12,000 per full programme
Local Fee: EUR 12,000 per full programme

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

Syllabus

The curriculum for the Master of Science in Computer Science - AI and Machine Learning encompasses a comprehensive selection of courses designed to equip students with vital skills. The programme includes:

Python Foundations
Probability & Statistics Essentials
Data Cleaning & Visualization
Data Manipulation & Processing for Machine Learning
Database Systems and Tools for Data Science
Machine Learning Fundamentals
Digging Deep into Deep Learning
Reinforcement Learning & Artificial Intelligence
Real World Applications for Data Science and Artificial Intelligence
Capstone Project

This structured approach ensures that students gain both theoretical knowledge and practical experience, preparing them for real-world challenges.

Careers with Computer Science - AI and Machine Learning

Graduates of the Master of Science in Computer Science - AI and Machine Learning programme are well-positioned for various roles within the technology sector. Alumni have found success in diverse fields such as data science, artificial intelligence, machine learning engineering, and analytics. They are employed by leading companies across multiple industries, including finance, healthcare, and technology, where they leverage their skills to drive innovation and efficiency. The programme's focus on employability ensures that students not only acquire the necessary technical skills but also develop a strong professional network, enhancing their career prospects upon graduation.

Programme Structure

Courses include:

Python
Statistics
Data Science
SQL databases
Data Cleaning
Data Manipulation
Data Visualization
Machine Learning
K-Nearest Neighbors algorithm (KNN)
Deep Neural Networks
Natural Language Processing (NLP)

Key information

Duration

Part-time
- 24 months

Start dates & application deadlines

Starting 2027-09-26 00:00:00

Application deadline not specified.

Language

English

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PTE Academic

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IELTS

IELTS & PTE Test Preparation

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Credits

30 SCH

Delivered

Online

Campus Location

Palo Alto, United States

Disciplines

Information Technology (IT) Computer Sciences Machine Learning View 271 other Masters in Information Technology (IT) in United States

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Academic requirements

GPA

English requirements

Duolingo English Test

Take A Free Practice Test!

TOEFL^® IBT

Schedule TOEFL®

PTE Academic

Schedule a PTE test!

IELTS

IELTS & PTE Test Preparation

E2 Language Test Prep

Trusted by 7M+ Students

Start Studying Today

Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.

Study on your own schedule
Live classes with current and ex-examiners
Accurate score assesment, always
E2 Score Guarantee - Get your score or your money back!

Other requirements

General requirements

Bachelor’s degree of Computer Sciences or Other Bachelor’s degree with 2 years’ experience in Computer related industries.
C.V. or Linkedin Account
Proof for English Proficiency

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

6000 EUR / year

≈ 6000 EUR / year
Out-of-State

6000 EUR / year

≈ 6000 EUR / year
Domestic

Applies to you

In-State

6000 EUR / year

≈ 6000 EUR / year

Additional Details

Here at Contemporary Technology University, you have an option to pick Fellowship Plan, where we cancel your tuition fees in exchange of your peer support.

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 Computer Science - AI and Machine Learning.

Available Scholarships

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

Computer Science - AI and Machine Learning

About

About

Overview

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

IELTS & PTE Test Preparation

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

IELTS & PTE Test Preparation

Other requirements

General requirements

Tuition Fees

International Applies to you

Domestic

Additional Details

Funding

Scholarships Information

Available Scholarships

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